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Elisabet Stener-Victorin, Vasantha Padmanabhan, Kirsty A Walters, Rebecca E Campbell, Anna Benrick, Paolo Giacobini, Daniel A Dumesic, David H Abbott, Animal Models to Understand the Etiology and Pathophysiology of Polycystic Ovary Syndrome, Endocrine Reviews, Volume 41, Issue 4, August 2020, bnaa010, https://doi.org/10.1210/endrev/bnaa010
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Abstract
More than 1 out of 10 women worldwide are diagnosed with polycystic ovary syndrome (PCOS), the leading cause of female reproductive and metabolic dysfunction. Despite its high prevalence, PCOS and its accompanying morbidities are likely underdiagnosed, averaging > 2 years and 3 physicians before women are diagnosed. Although it has been intensively researched, the underlying cause(s) of PCOS have yet to be defined. In order to understand PCOS pathophysiology, its developmental origins, and how to predict and prevent PCOS onset, there is an urgent need for safe and effective markers and treatments. In this review, we detail which animal models are more suitable for contributing to our understanding of the etiology and pathophysiology of PCOS. We summarize and highlight advantages and limitations of hormonal or genetic manipulation of animal models, as well as of naturally occurring PCOS-like females.

Worldwide, 15% to 20% of women in their reproductive years have polycystic ovary syndrome (PCOS), contributing to an annual multibillion-dollar health care burden, but progress towards a cure is hindered by an absence of detailed mechanistic understanding.
With PCOS risk genes accounting for < 10% of PCOS cases, and its heritability of 70%, PCOS etiopathogenesis may comprise complex genetic, epigenetic, and developmental contributions, including hormonally and metabolically compromised maternal environment.
Nonhuman primate models of maternal androgen exposure or peripubertal T-onset most closely emulate PCOS pathophysiology and its metabolic sequelae, and recent work with naturally hyperandrogenic PCOS-like female rhesus macaques, with > 95% exome homology to humans, promises whole-genome sequence insight into genetic-based origins.
Sheep models of maternal androgen exposure, providing relatively inexpensive ease of incisive developmental and pharmacological manipulation, engage rapidly maturing, mono-ovular, large-bodied females in preventive strategies demonstrating the strengths and weaknesses of fetal and postnatal intervention.
Rodent maternal androgen or anti-Müllerian hormone (AMH) exposure or peripubertal dihydrotestosterone (DHT)-exposure, combined with genetically manipulated mouse models, will provide unique insights into how androgen receptors provide molecular gateways towards PCOS etiopathogenesis.
Maternal androgen exposure rat and mice models demonstrate a molecular, neural blueprint for fetal programming of anxiety and depression accompanying PCOS, and how acupuncture counteracts PCOS-like traits.
Although animal models of PCOS have their limitations, use of appropriate animal model(s) is enabling discovery, validation, and optimization of novel biomarkers and treatments for women with PCOS.
Polycystic ovary syndrome (PCOS) has drastic, lifelong consequences for a woman’s health and wellbeing (1, 2). Androgen excess is the most common endocrinopathy of PCOS, with > 80% prevalence. Newly published International Guidelines for the Assessment and Management of PCOS (1) endorse a clinical diagnosis requiring at least 2 out of the following 3 (Rotterdam) criteria: (i) high circulating levels of testosterone (T) or excessive body hair (hirsutism); (ii) intermittent or absent menstrual cycles; (iii) and polycystic ovaries on ultrasound, provided that related, but distinctly different, endocrine disorders have been excluded (3). Rotterdam criteria generate 4 PCOS phenotypes: Classic PCOS with type A, hyperandrogenism or hirsutism (HA) + intermittent/absent cycles (ovulatory dysfunction, OD) + polycystic ovary morphology (PCOM), and type B, HA + OD; type C, HA + PCOM; and type D, OD + PCOM. Phenotype B, however, may eventually be reassigned to Type A when three-dimensional ovarian imaging and standardized anti-Müllerian hormone (AMH) assays become widely available, enabling accurate characterization of a woman’s ovarian follicle population (4).
PCOS is strongly familial (5-7) and highly heritable (8), with approximately 60% to 70% of daughters born to women with PCOS manifesting their own PCOS phenotype during adolescence and as young adults (9, 10). Hyperandrogenism is the most heritable phenotypic trait (11). Using the Rotterdam PCOS criteria, prevalence rates as high as 21% are reported across a variety of populations (12-14). Moreover, prevalence rates increase to over 25% in severely obese women with PCOS (15), and significant morbidity accompanies known associations with type 2 diabetes (T2D), cardiovascular dysfunction, obesity, infertility and cancer (2, 14, 16); hence, PCOS places a heavy burden on healthcare resources (17). Yet PCOS and its accompanying morbidities remain underdiagnosed, with an average of more than 2 years and 3 physicians before women are diagnosed (1).
Commonly, onset of PCOS-related symptoms occurs during adolescence, but can be delayed into a woman’s reproductive years. Signs of PCOS, however, are found before pubertal onset of its clinical phenotype. Daughters born to mothers with PCOS have a 5-fold increased risk of developing PCOS themselves (9, 10, 18) and, as newborn infants, exhibit elongated anogenital distance (AGD) (19) and facial sebum (20), with elevated circulating levels of ovarian AMH (21, 22) indicative of exaggerated antral follicle numbers. Progress towards a cure for PCOS, however, has been mostly hindered by the absence of reliable, pre-PCOS biomarkers during infancy or childhood, a defining mechanistic pathogenesis, evolving diagnostic criteria, and readily available, naturally-occurring or experimentally-induced animal models encompassing the complexity of PCOS and its multiple phenotypes (23, 24). Since currently identified PCOS risk genes account for < 10% of PCOS prevalence (16, 25), etiopathogenesis is likely a combination of polygenic, epigenetic and developmental contributions (3, 16, 23, 25, 26), exaggerated by obesity or ameliorated by lifestyle (15, 27, 28). Animal models have indeed contributed to increased understanding of PCOS etiopathogenesis and underlying pathophysiological mechanisms, expanding from fewer than 10 publications in the 1970s to approximately 400 in the 2010s (data obtained from PubMed January 21, 2020). Most employ a variety of discrete or continuing experimental manipulations to alter phenotype due to programmed (organizational) and/or activational contribution to the manifestation and severity of pathophysiology, respectively (23, 24, 29-34). It is important to emphasize, however, that in contrast to discretely-timed gestational manipulations that permanently reorganize organ and tissue structure and function, peripubertal or adult onset manipulations that persistently activate structural and functional changes have yet to demonstrate lifelong persistence when manipulations cease. Increasing numbers of elegant, genetically manipulated rodent models are providing unparalleled insight into molecular understanding (Table 3) (35).
In addition, animal models exhibiting traits sufficiently reminiscent of a single Rotterdam criterion for PCOS in women—such as elevated circulating levels of T (total or unbound) compared to species-relevant controls or control populations—are considered to express a PCOS-like trait, but are not sufficiently PCOS-like per se (Supplementary Table 1a, b) (36). There are no species-specific, clinical veterinarian diagnoses for PCOS, hence nonhuman species cannot exhibit PCOS by definition. Animal models, nevertheless, can exhibit a combination of 2 or more PCOS-like equivalents of Rotterdam criteria that qualify their inclusion as PCOS-like, providing potentially more relevance for etiopathogenic studies (Tables 1-3). These include the more recently reported, naturally hyperandrogenic female found in nonhuman primates (NHP), namely cynomolgus and rhesus macaques (37), in which spontaneously hyperandrogenic females exhibit PCOS-like diagnostic traits together with additional neuroendocrine, ovarian, and metabolic traits that commonly accompany PCOS in women (Supplementary Table 3 (36). Animal models described in Tables 1-3 stand in contrast to those described in Supplementary Table 1a and 1b (36); these models either exhibit PCOS-like traits alongside other PCOS-excluding endocrinopathies, such as hyperprolactinemia and hypogonadotropic amenorrhea, including luteinizing hormone (LH)-β overexpressing mice and dehydroepiandrosterone (DHEA)-treated prepubertal or adult female rodents (32, 38, 39), or less than two traits approximating biomarkers for Rotterdam equivalent criteria, such as T-treated neonatal rats (38, 40). These latter models either do not qualify as PCOS-like per se or express traits that may compromise their mechanistic usefulness in investigations of PCOS etiopathogenesis.
Species . | . | NHP . | . | Sheep . | . | Rat . | . | Mouse . | . |
---|---|---|---|---|---|---|---|---|---|
Treatment | Testosterone propionate | Testosterone propionate | DHT propionate | T | DHT | T | DHT | DHT | AMHc or proAMH |
Age of treatment | GD 40-80 | GD 110-140 | GD 40-95/100 | GD 30-90 GD 60-90 | GD 30-90 | E15-19 | E16-19 | E16.5-18.5 / E0-delivery | E16.5-E18.5 |
Dose of treatment | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 10mg (=1.4 mg/kg) daily s.c. | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 100mg (=1.2 mg/kg) twice weekly i.m. | 100mg (=1.2 mg/kg) twice weekly i.m. | 0.5 mg/kg/day s.c | 3 mg/day s.c. | 250ug | 0.12 mg/kg daily (i.p.) |
Duration of treatment | 15-40 days | 25-30 days | 55-60 days | 30, 60 days | 60 days | 5 days | 4 days | 3 days | 3 days |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | |||||||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✖ | ✔/✖ | ✔/✖ | ✔/ ✖ | ✔ | |
Polyfollicular ovaries | ✔ | ✔ | ✖ | ✖ | ✖ | ||||
Traits accompanying PCOS | |||||||||
1. Ovary | |||||||||
↑ Ovary weight or size | ✔ | ✖ | ✖ | ✖ | ✖ | ✖ | |||
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✔ | ✖ | ✖ | ||
Antral follicle arrest | ✔ | ✖ | ✔ | ✖ | |||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✔ | |||||
↓ Granulosa and ↑ theca cell layer thickness | ✔ | ||||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | |||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✖ | ✖ | |||||
↓ Oocyte maturation or developmental competence | ✔ | ✖ | ✔ | ||||||
↓ Fertility or fecundity | ✔ | ✖ | ✔ (GD 60-90) | ✔ | ✔ | ||||
2. Placenta and pregnancy | |||||||||
Pregnancy complications | ✔ | ✔ | ✔ | ||||||
Placental defects | ✔ | ✔ | ✔ | ✔ | |||||
Fetal growth abnormalities, ↑AGD | ✔ | ✖ | ✔ | ✔ | ✔ | ✔ | ✔ | ||
↓ Placental capacity to metabolize androgens | ✔ | ✔ | ✔ | ||||||
3. Neuroendocrine regulation | |||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✖ | ✔ | ✔ | ✔/✖ | ✔ | |||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ✔ | ✔ | ✔ | ||||
Altered hypothalamic GABA or KnDY neuronal morphology or function | ✔ | ✔ | ✔ | ✔ | |||||
↑ Pituitary LH responsiveness to GnRH | ✔ | ✔ | ✔ | ||||||
↓ E2 negative feedback | ✔ | ✖ | ✔ | ✔ | |||||
↓ P4 negative feedback | ✔ | ✔ | ✔ | ✔ | |||||
Compromised E2 positive feedback | ✖ | ✖ | ✔ | ✖ | |||||
4. Metabolic traits | |||||||||
↑ Body weight | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ||
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔/✖ | |||||
Adipocyte hypertrophy | ✖ | ✖ | ✔ | ||||||
Adipogenic constraint | ✔ | ✔ | ✔ | ||||||
Dyslipidemia | ✔ | ✔ | ✖ | ||||||
Insulin resistance | ✔ | ✖ | ✔ | ✔ | ✔ | ✖ | |||
Presence of liver steatosis | ✔ | ✔/✖ | |||||||
Pancreatic β-cell defects | ✔ | ✖ | ✔ | ✔ | |||||
Hypertension/Echo-cardiographic alterations | ✔ | ✔ | ✔ | ||||||
5. Behavioral traits | |||||||||
Behavioral deficits/abnormalities | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
6. References | (41-44) | (42-44) | (42-45) | (46-85) | (47, 57-59, 61, 62, 64) | (86-90) | (91, 92) | (93-105) | (106, 107) |
Species . | . | NHP . | . | Sheep . | . | Rat . | . | Mouse . | . |
---|---|---|---|---|---|---|---|---|---|
Treatment | Testosterone propionate | Testosterone propionate | DHT propionate | T | DHT | T | DHT | DHT | AMHc or proAMH |
Age of treatment | GD 40-80 | GD 110-140 | GD 40-95/100 | GD 30-90 GD 60-90 | GD 30-90 | E15-19 | E16-19 | E16.5-18.5 / E0-delivery | E16.5-E18.5 |
Dose of treatment | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 10mg (=1.4 mg/kg) daily s.c. | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 100mg (=1.2 mg/kg) twice weekly i.m. | 100mg (=1.2 mg/kg) twice weekly i.m. | 0.5 mg/kg/day s.c | 3 mg/day s.c. | 250ug | 0.12 mg/kg daily (i.p.) |
Duration of treatment | 15-40 days | 25-30 days | 55-60 days | 30, 60 days | 60 days | 5 days | 4 days | 3 days | 3 days |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | |||||||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✖ | ✔/✖ | ✔/✖ | ✔/ ✖ | ✔ | |
Polyfollicular ovaries | ✔ | ✔ | ✖ | ✖ | ✖ | ||||
Traits accompanying PCOS | |||||||||
1. Ovary | |||||||||
↑ Ovary weight or size | ✔ | ✖ | ✖ | ✖ | ✖ | ✖ | |||
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✔ | ✖ | ✖ | ||
Antral follicle arrest | ✔ | ✖ | ✔ | ✖ | |||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✔ | |||||
↓ Granulosa and ↑ theca cell layer thickness | ✔ | ||||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | |||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✖ | ✖ | |||||
↓ Oocyte maturation or developmental competence | ✔ | ✖ | ✔ | ||||||
↓ Fertility or fecundity | ✔ | ✖ | ✔ (GD 60-90) | ✔ | ✔ | ||||
2. Placenta and pregnancy | |||||||||
Pregnancy complications | ✔ | ✔ | ✔ | ||||||
Placental defects | ✔ | ✔ | ✔ | ✔ | |||||
Fetal growth abnormalities, ↑AGD | ✔ | ✖ | ✔ | ✔ | ✔ | ✔ | ✔ | ||
↓ Placental capacity to metabolize androgens | ✔ | ✔ | ✔ | ||||||
3. Neuroendocrine regulation | |||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✖ | ✔ | ✔ | ✔/✖ | ✔ | |||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ✔ | ✔ | ✔ | ||||
Altered hypothalamic GABA or KnDY neuronal morphology or function | ✔ | ✔ | ✔ | ✔ | |||||
↑ Pituitary LH responsiveness to GnRH | ✔ | ✔ | ✔ | ||||||
↓ E2 negative feedback | ✔ | ✖ | ✔ | ✔ | |||||
↓ P4 negative feedback | ✔ | ✔ | ✔ | ✔ | |||||
Compromised E2 positive feedback | ✖ | ✖ | ✔ | ✖ | |||||
4. Metabolic traits | |||||||||
↑ Body weight | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ||
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔/✖ | |||||
Adipocyte hypertrophy | ✖ | ✖ | ✔ | ||||||
Adipogenic constraint | ✔ | ✔ | ✔ | ||||||
Dyslipidemia | ✔ | ✔ | ✖ | ||||||
Insulin resistance | ✔ | ✖ | ✔ | ✔ | ✔ | ✖ | |||
Presence of liver steatosis | ✔ | ✔/✖ | |||||||
Pancreatic β-cell defects | ✔ | ✖ | ✔ | ✔ | |||||
Hypertension/Echo-cardiographic alterations | ✔ | ✔ | ✔ | ||||||
5. Behavioral traits | |||||||||
Behavioral deficits/abnormalities | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
6. References | (41-44) | (42-44) | (42-45) | (46-85) | (47, 57-59, 61, 62, 64) | (86-90) | (91, 92) | (93-105) | (106, 107) |
Abbreviations: AMH; anti-Müllerian hormone; DHT, dihydrotestosterone; T, testosterone.
✔, PCOS-like trait present; ✖, PCOS-like trait not present; “blank,” not reported by investigators in publication.
Species . | . | NHP . | . | Sheep . | . | Rat . | . | Mouse . | . |
---|---|---|---|---|---|---|---|---|---|
Treatment | Testosterone propionate | Testosterone propionate | DHT propionate | T | DHT | T | DHT | DHT | AMHc or proAMH |
Age of treatment | GD 40-80 | GD 110-140 | GD 40-95/100 | GD 30-90 GD 60-90 | GD 30-90 | E15-19 | E16-19 | E16.5-18.5 / E0-delivery | E16.5-E18.5 |
Dose of treatment | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 10mg (=1.4 mg/kg) daily s.c. | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 100mg (=1.2 mg/kg) twice weekly i.m. | 100mg (=1.2 mg/kg) twice weekly i.m. | 0.5 mg/kg/day s.c | 3 mg/day s.c. | 250ug | 0.12 mg/kg daily (i.p.) |
Duration of treatment | 15-40 days | 25-30 days | 55-60 days | 30, 60 days | 60 days | 5 days | 4 days | 3 days | 3 days |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | |||||||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✖ | ✔/✖ | ✔/✖ | ✔/ ✖ | ✔ | |
Polyfollicular ovaries | ✔ | ✔ | ✖ | ✖ | ✖ | ||||
Traits accompanying PCOS | |||||||||
1. Ovary | |||||||||
↑ Ovary weight or size | ✔ | ✖ | ✖ | ✖ | ✖ | ✖ | |||
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✔ | ✖ | ✖ | ||
Antral follicle arrest | ✔ | ✖ | ✔ | ✖ | |||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✔ | |||||
↓ Granulosa and ↑ theca cell layer thickness | ✔ | ||||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | |||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✖ | ✖ | |||||
↓ Oocyte maturation or developmental competence | ✔ | ✖ | ✔ | ||||||
↓ Fertility or fecundity | ✔ | ✖ | ✔ (GD 60-90) | ✔ | ✔ | ||||
2. Placenta and pregnancy | |||||||||
Pregnancy complications | ✔ | ✔ | ✔ | ||||||
Placental defects | ✔ | ✔ | ✔ | ✔ | |||||
Fetal growth abnormalities, ↑AGD | ✔ | ✖ | ✔ | ✔ | ✔ | ✔ | ✔ | ||
↓ Placental capacity to metabolize androgens | ✔ | ✔ | ✔ | ||||||
3. Neuroendocrine regulation | |||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✖ | ✔ | ✔ | ✔/✖ | ✔ | |||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ✔ | ✔ | ✔ | ||||
Altered hypothalamic GABA or KnDY neuronal morphology or function | ✔ | ✔ | ✔ | ✔ | |||||
↑ Pituitary LH responsiveness to GnRH | ✔ | ✔ | ✔ | ||||||
↓ E2 negative feedback | ✔ | ✖ | ✔ | ✔ | |||||
↓ P4 negative feedback | ✔ | ✔ | ✔ | ✔ | |||||
Compromised E2 positive feedback | ✖ | ✖ | ✔ | ✖ | |||||
4. Metabolic traits | |||||||||
↑ Body weight | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ||
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔/✖ | |||||
Adipocyte hypertrophy | ✖ | ✖ | ✔ | ||||||
Adipogenic constraint | ✔ | ✔ | ✔ | ||||||
Dyslipidemia | ✔ | ✔ | ✖ | ||||||
Insulin resistance | ✔ | ✖ | ✔ | ✔ | ✔ | ✖ | |||
Presence of liver steatosis | ✔ | ✔/✖ | |||||||
Pancreatic β-cell defects | ✔ | ✖ | ✔ | ✔ | |||||
Hypertension/Echo-cardiographic alterations | ✔ | ✔ | ✔ | ||||||
5. Behavioral traits | |||||||||
Behavioral deficits/abnormalities | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
6. References | (41-44) | (42-44) | (42-45) | (46-85) | (47, 57-59, 61, 62, 64) | (86-90) | (91, 92) | (93-105) | (106, 107) |
Species . | . | NHP . | . | Sheep . | . | Rat . | . | Mouse . | . |
---|---|---|---|---|---|---|---|---|---|
Treatment | Testosterone propionate | Testosterone propionate | DHT propionate | T | DHT | T | DHT | DHT | AMHc or proAMH |
Age of treatment | GD 40-80 | GD 110-140 | GD 40-95/100 | GD 30-90 GD 60-90 | GD 30-90 | E15-19 | E16-19 | E16.5-18.5 / E0-delivery | E16.5-E18.5 |
Dose of treatment | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 10mg (=1.4 mg/kg) daily s.c. | 10-15mg (=1.4-2.1 mg/kg) daily s.c. | 100mg (=1.2 mg/kg) twice weekly i.m. | 100mg (=1.2 mg/kg) twice weekly i.m. | 0.5 mg/kg/day s.c | 3 mg/day s.c. | 250ug | 0.12 mg/kg daily (i.p.) |
Duration of treatment | 15-40 days | 25-30 days | 55-60 days | 30, 60 days | 60 days | 5 days | 4 days | 3 days | 3 days |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | |||||||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✖ | ✔/✖ | ✔/✖ | ✔/ ✖ | ✔ | |
Polyfollicular ovaries | ✔ | ✔ | ✖ | ✖ | ✖ | ||||
Traits accompanying PCOS | |||||||||
1. Ovary | |||||||||
↑ Ovary weight or size | ✔ | ✖ | ✖ | ✖ | ✖ | ✖ | |||
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✔ | ✖ | ✖ | ||
Antral follicle arrest | ✔ | ✖ | ✔ | ✖ | |||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✔ | |||||
↓ Granulosa and ↑ theca cell layer thickness | ✔ | ||||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | |||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✖ | ✖ | |||||
↓ Oocyte maturation or developmental competence | ✔ | ✖ | ✔ | ||||||
↓ Fertility or fecundity | ✔ | ✖ | ✔ (GD 60-90) | ✔ | ✔ | ||||
2. Placenta and pregnancy | |||||||||
Pregnancy complications | ✔ | ✔ | ✔ | ||||||
Placental defects | ✔ | ✔ | ✔ | ✔ | |||||
Fetal growth abnormalities, ↑AGD | ✔ | ✖ | ✔ | ✔ | ✔ | ✔ | ✔ | ||
↓ Placental capacity to metabolize androgens | ✔ | ✔ | ✔ | ||||||
3. Neuroendocrine regulation | |||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✖ | ✔ | ✔ | ✔/✖ | ✔ | |||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ✔ | ✔ | ✔ | ||||
Altered hypothalamic GABA or KnDY neuronal morphology or function | ✔ | ✔ | ✔ | ✔ | |||||
↑ Pituitary LH responsiveness to GnRH | ✔ | ✔ | ✔ | ||||||
↓ E2 negative feedback | ✔ | ✖ | ✔ | ✔ | |||||
↓ P4 negative feedback | ✔ | ✔ | ✔ | ✔ | |||||
Compromised E2 positive feedback | ✖ | ✖ | ✔ | ✖ | |||||
4. Metabolic traits | |||||||||
↑ Body weight | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ||
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔/✖ | |||||
Adipocyte hypertrophy | ✖ | ✖ | ✔ | ||||||
Adipogenic constraint | ✔ | ✔ | ✔ | ||||||
Dyslipidemia | ✔ | ✔ | ✖ | ||||||
Insulin resistance | ✔ | ✖ | ✔ | ✔ | ✔ | ✖ | |||
Presence of liver steatosis | ✔ | ✔/✖ | |||||||
Pancreatic β-cell defects | ✔ | ✖ | ✔ | ✔ | |||||
Hypertension/Echo-cardiographic alterations | ✔ | ✔ | ✔ | ||||||
5. Behavioral traits | |||||||||
Behavioral deficits/abnormalities | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
6. References | (41-44) | (42-44) | (42-45) | (46-85) | (47, 57-59, 61, 62, 64) | (86-90) | (91, 92) | (93-105) | (106, 107) |
Abbreviations: AMH; anti-Müllerian hormone; DHT, dihydrotestosterone; T, testosterone.
✔, PCOS-like trait present; ✖, PCOS-like trait not present; “blank,” not reported by investigators in publication.
Neonatal, Peripubertal, and Adult Manipulations Generating PCOS-like Features
Species . | NHP . | . | . | Rat . | . | . | . | Mouse . | . | . |
---|---|---|---|---|---|---|---|---|---|---|
Time window of treatment | Neonatal | Neonatal | Peripubertal | Peripubertal | Peripubertal | Peripubertal | Adult | Peripubertal | Peripubertal | Adult |
Treatment | T | T | T | DHT | Letrozole | DHT | DHT | DHEA | Letrozole | Letrozole |
Age of treatment | 1 day | 1-51 days | 1 years + | 21 days | 21 days | 21-28 days | 2 months | 3 weeks | 3 weeks | 8 weeks |
Dose of treatment | 35 mg/kg (sc) | 25 mg (sc) or 3-10 mg/kg/day | T capsules (sc) generating ~ 1.4 ng/ml circulating T levels | 83 μg/day (sc) | 200 µg/day (sc) | 10 mg implant (sc) or 27.5 μg/day | 4 mm (sc) | 7.5 mg pellet (sc) | 3 mg pellet (sc), 50 μg/day | 3 mg pellet (sc), 50 μg/day |
Duration of treatment | 1 day | 50 days | 4-5 years | 3 months | 3 months | 3 months | Replaced every month | 3 months | 5 weeks | 5 weeks |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||||||||
Intermittent or absent ovulatory cycles | ✖ | ✖ | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ♦ | ✖ | ♦ | ♦ | ✔ | ✔ | ||||
Polyfollicular ovaries | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
Traits accompanying PCOS | ||||||||||
1. Ovary | ||||||||||
↑ Ovary weight or size | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ✔ | ✖ | |
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✖ | ✔ | ||||
Antral follicle arrest | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✖ | ✔ | |||||
↓ Granulosa cell layer thickness | ✔ | ✔ | ✔ | |||||||
↑ Theca cell layer thickness | ✖ | ✔ | ✔ | |||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | ||||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✔ | |||||||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ✔ | |||||||
↓ Fertility or fecundity | ✖ | ✔ | ✔ | ✔ | ||||||
2. Neuroendocrine regulation | ||||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✔ | ✖ | ✖ | ✔ | ✔ | ||||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ||||||||
↑ Pituitary LH responsiveness to GnRH | ✖ | ✖ | ||||||||
↓ E2 negative feedback | ✔ | |||||||||
↓ P4 serum levels | ✔ | ✔ | ✔ | |||||||
3. Metabolic traits | ||||||||||
↑ Body weight | ✖ | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | |
↑ Body fat or BMI | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | ||
Adipocyte hypertrophy | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
Adipogenic constraint | ✖ | |||||||||
Dyslipidemia | ✖ | ✖ | ✖ | ✔ | ✔ | |||||
Insulin resistance | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | ||
Glucose intolerance | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | |||
Presence of steatosis | ✔ | ✖ | ✖ | |||||||
Pancreatic β-cell defects | ✖ | ✔ | ✔ | ✔ | ||||||
Hypertension | ✔ | ✔ | ||||||||
Left ventricular fraction shortening | ✔ | |||||||||
4. Behavioral traits | ||||||||||
Behavioral deficits /abnormalities | ✔ | ✔ | ||||||||
5. References | (108) | (109) | (110-113) | (114-118) | (119-121) | (96, 102, 122-125) | (126-130) | (96, 131) | (132-135) | (136) |
Species . | NHP . | . | . | Rat . | . | . | . | Mouse . | . | . |
---|---|---|---|---|---|---|---|---|---|---|
Time window of treatment | Neonatal | Neonatal | Peripubertal | Peripubertal | Peripubertal | Peripubertal | Adult | Peripubertal | Peripubertal | Adult |
Treatment | T | T | T | DHT | Letrozole | DHT | DHT | DHEA | Letrozole | Letrozole |
Age of treatment | 1 day | 1-51 days | 1 years + | 21 days | 21 days | 21-28 days | 2 months | 3 weeks | 3 weeks | 8 weeks |
Dose of treatment | 35 mg/kg (sc) | 25 mg (sc) or 3-10 mg/kg/day | T capsules (sc) generating ~ 1.4 ng/ml circulating T levels | 83 μg/day (sc) | 200 µg/day (sc) | 10 mg implant (sc) or 27.5 μg/day | 4 mm (sc) | 7.5 mg pellet (sc) | 3 mg pellet (sc), 50 μg/day | 3 mg pellet (sc), 50 μg/day |
Duration of treatment | 1 day | 50 days | 4-5 years | 3 months | 3 months | 3 months | Replaced every month | 3 months | 5 weeks | 5 weeks |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||||||||
Intermittent or absent ovulatory cycles | ✖ | ✖ | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ♦ | ✖ | ♦ | ♦ | ✔ | ✔ | ||||
Polyfollicular ovaries | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
Traits accompanying PCOS | ||||||||||
1. Ovary | ||||||||||
↑ Ovary weight or size | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ✔ | ✖ | |
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✖ | ✔ | ||||
Antral follicle arrest | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✖ | ✔ | |||||
↓ Granulosa cell layer thickness | ✔ | ✔ | ✔ | |||||||
↑ Theca cell layer thickness | ✖ | ✔ | ✔ | |||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | ||||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✔ | |||||||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ✔ | |||||||
↓ Fertility or fecundity | ✖ | ✔ | ✔ | ✔ | ||||||
2. Neuroendocrine regulation | ||||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✔ | ✖ | ✖ | ✔ | ✔ | ||||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ||||||||
↑ Pituitary LH responsiveness to GnRH | ✖ | ✖ | ||||||||
↓ E2 negative feedback | ✔ | |||||||||
↓ P4 serum levels | ✔ | ✔ | ✔ | |||||||
3. Metabolic traits | ||||||||||
↑ Body weight | ✖ | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | |
↑ Body fat or BMI | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | ||
Adipocyte hypertrophy | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
Adipogenic constraint | ✖ | |||||||||
Dyslipidemia | ✖ | ✖ | ✖ | ✔ | ✔ | |||||
Insulin resistance | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | ||
Glucose intolerance | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | |||
Presence of steatosis | ✔ | ✖ | ✖ | |||||||
Pancreatic β-cell defects | ✖ | ✔ | ✔ | ✔ | ||||||
Hypertension | ✔ | ✔ | ||||||||
Left ventricular fraction shortening | ✔ | |||||||||
4. Behavioral traits | ||||||||||
Behavioral deficits /abnormalities | ✔ | ✔ | ||||||||
5. References | (108) | (109) | (110-113) | (114-118) | (119-121) | (96, 102, 122-125) | (126-130) | (96, 131) | (132-135) | (136) |
Abbreviations: DHEA, dehydroepiandrosterone; DHT, dihydrotestosterone; NHP, nonhuman primates; T, testosterone.
✔, PCOS-like trait present; ✖, PCOS-like trait not present; “blank,” not reported by investigators in publication, ♦, PCOS-like features could not be assessed as this trait is a feature of the hormonal modification.
Neonatal, Peripubertal, and Adult Manipulations Generating PCOS-like Features
Species . | NHP . | . | . | Rat . | . | . | . | Mouse . | . | . |
---|---|---|---|---|---|---|---|---|---|---|
Time window of treatment | Neonatal | Neonatal | Peripubertal | Peripubertal | Peripubertal | Peripubertal | Adult | Peripubertal | Peripubertal | Adult |
Treatment | T | T | T | DHT | Letrozole | DHT | DHT | DHEA | Letrozole | Letrozole |
Age of treatment | 1 day | 1-51 days | 1 years + | 21 days | 21 days | 21-28 days | 2 months | 3 weeks | 3 weeks | 8 weeks |
Dose of treatment | 35 mg/kg (sc) | 25 mg (sc) or 3-10 mg/kg/day | T capsules (sc) generating ~ 1.4 ng/ml circulating T levels | 83 μg/day (sc) | 200 µg/day (sc) | 10 mg implant (sc) or 27.5 μg/day | 4 mm (sc) | 7.5 mg pellet (sc) | 3 mg pellet (sc), 50 μg/day | 3 mg pellet (sc), 50 μg/day |
Duration of treatment | 1 day | 50 days | 4-5 years | 3 months | 3 months | 3 months | Replaced every month | 3 months | 5 weeks | 5 weeks |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||||||||
Intermittent or absent ovulatory cycles | ✖ | ✖ | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ♦ | ✖ | ♦ | ♦ | ✔ | ✔ | ||||
Polyfollicular ovaries | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
Traits accompanying PCOS | ||||||||||
1. Ovary | ||||||||||
↑ Ovary weight or size | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ✔ | ✖ | |
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✖ | ✔ | ||||
Antral follicle arrest | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✖ | ✔ | |||||
↓ Granulosa cell layer thickness | ✔ | ✔ | ✔ | |||||||
↑ Theca cell layer thickness | ✖ | ✔ | ✔ | |||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | ||||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✔ | |||||||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ✔ | |||||||
↓ Fertility or fecundity | ✖ | ✔ | ✔ | ✔ | ||||||
2. Neuroendocrine regulation | ||||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✔ | ✖ | ✖ | ✔ | ✔ | ||||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ||||||||
↑ Pituitary LH responsiveness to GnRH | ✖ | ✖ | ||||||||
↓ E2 negative feedback | ✔ | |||||||||
↓ P4 serum levels | ✔ | ✔ | ✔ | |||||||
3. Metabolic traits | ||||||||||
↑ Body weight | ✖ | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | |
↑ Body fat or BMI | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | ||
Adipocyte hypertrophy | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
Adipogenic constraint | ✖ | |||||||||
Dyslipidemia | ✖ | ✖ | ✖ | ✔ | ✔ | |||||
Insulin resistance | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | ||
Glucose intolerance | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | |||
Presence of steatosis | ✔ | ✖ | ✖ | |||||||
Pancreatic β-cell defects | ✖ | ✔ | ✔ | ✔ | ||||||
Hypertension | ✔ | ✔ | ||||||||
Left ventricular fraction shortening | ✔ | |||||||||
4. Behavioral traits | ||||||||||
Behavioral deficits /abnormalities | ✔ | ✔ | ||||||||
5. References | (108) | (109) | (110-113) | (114-118) | (119-121) | (96, 102, 122-125) | (126-130) | (96, 131) | (132-135) | (136) |
Species . | NHP . | . | . | Rat . | . | . | . | Mouse . | . | . |
---|---|---|---|---|---|---|---|---|---|---|
Time window of treatment | Neonatal | Neonatal | Peripubertal | Peripubertal | Peripubertal | Peripubertal | Adult | Peripubertal | Peripubertal | Adult |
Treatment | T | T | T | DHT | Letrozole | DHT | DHT | DHEA | Letrozole | Letrozole |
Age of treatment | 1 day | 1-51 days | 1 years + | 21 days | 21 days | 21-28 days | 2 months | 3 weeks | 3 weeks | 8 weeks |
Dose of treatment | 35 mg/kg (sc) | 25 mg (sc) or 3-10 mg/kg/day | T capsules (sc) generating ~ 1.4 ng/ml circulating T levels | 83 μg/day (sc) | 200 µg/day (sc) | 10 mg implant (sc) or 27.5 μg/day | 4 mm (sc) | 7.5 mg pellet (sc) | 3 mg pellet (sc), 50 μg/day | 3 mg pellet (sc), 50 μg/day |
Duration of treatment | 1 day | 50 days | 4-5 years | 3 months | 3 months | 3 months | Replaced every month | 3 months | 5 weeks | 5 weeks |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||||||||
Intermittent or absent ovulatory cycles | ✖ | ✖ | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ♦ | ✖ | ♦ | ♦ | ✔ | ✔ | ||||
Polyfollicular ovaries | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |||
Traits accompanying PCOS | ||||||||||
1. Ovary | ||||||||||
↑ Ovary weight or size | ✖ | ✖ | ✖ | ✔ | ✖ | ✖ | ✖ | ✔ | ✖ | |
↑ Preantral /antral follicles | ✔ | ✔ | ✖ | ✔ | ✖ | ✔ | ||||
Antral follicle arrest | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
↑ Follicle atresia | ✔ | ✔ | ✔ | ✖ | ✔ | |||||
↓ Granulosa cell layer thickness | ✔ | ✔ | ✔ | |||||||
↑ Theca cell layer thickness | ✖ | ✔ | ✔ | |||||||
Altered follicular steroid hormone receptor expression | ✔ | ✔ | ||||||||
Altered AMH or AMHR2 expression | ✖ | ✔ | ✔ | |||||||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ✔ | |||||||
↓ Fertility or fecundity | ✖ | ✔ | ✔ | ✔ | ||||||
2. Neuroendocrine regulation | ||||||||||
↑ LH or ↑ LH:FSH ratio | ✔ | ✔ | ✖ | ✖ | ✔ | ✔ | ||||
↑ GnRH/LH pulse frequency | ✔ | ✔ | ||||||||
↑ Pituitary LH responsiveness to GnRH | ✖ | ✖ | ||||||||
↓ E2 negative feedback | ✔ | |||||||||
↓ P4 serum levels | ✔ | ✔ | ✔ | |||||||
3. Metabolic traits | ||||||||||
↑ Body weight | ✖ | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | |
↑ Body fat or BMI | ✖ | ✔ | ✔ | ✔ | ✖ | ✖ | ✔ | ✖ | ||
Adipocyte hypertrophy | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ||||
Adipogenic constraint | ✖ | |||||||||
Dyslipidemia | ✖ | ✖ | ✖ | ✔ | ✔ | |||||
Insulin resistance | ✖ | ✔ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | ||
Glucose intolerance | ✖ | ✔ | ✔ | ✔ | ✖ | ✔ | ✖ | |||
Presence of steatosis | ✔ | ✖ | ✖ | |||||||
Pancreatic β-cell defects | ✖ | ✔ | ✔ | ✔ | ||||||
Hypertension | ✔ | ✔ | ||||||||
Left ventricular fraction shortening | ✔ | |||||||||
4. Behavioral traits | ||||||||||
Behavioral deficits /abnormalities | ✔ | ✔ | ||||||||
5. References | (108) | (109) | (110-113) | (114-118) | (119-121) | (96, 102, 122-125) | (126-130) | (96, 131) | (132-135) | (136) |
Abbreviations: DHEA, dehydroepiandrosterone; DHT, dihydrotestosterone; NHP, nonhuman primates; T, testosterone.
✔, PCOS-like trait present; ✖, PCOS-like trait not present; “blank,” not reported by investigators in publication, ♦, PCOS-like features could not be assessed as this trait is a feature of the hormonal modification.
Species . | . | Mouse . | . | Rat . |
---|---|---|---|---|
Modified gene . | NGF/17NF overexpression . | hCGb subunit overexpression . | IR/LepRPOMC knockout . | JCR:LA-cp LepR defect . |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✔ |
Polyfollicular ovaries | ✔ | ✔ | ✔ | |
Traits accompanying PCOS | ||||
1. Ovary | ||||
↑ Ovary weight or size | ✖ | ✖ | ||
↑ Preantral /antral follicles | ✔ | ✖ | ✖ | |
Antral follicle arrest | ✔ | ✔ | ✔ | |
↑ Follicle atresia | ✔ | ✔ | ✔ | |
↑ Theca cell layer thickness | ✔ | ✖ | ||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ||
↓ Fertility or fecundity | ✔ | ✔ | ✔ | |
2. Neuroendocrine regulation | ||||
↑ LH or ↑ LH:FSH ratio | ✖ | ✖ | ✔ | |
3. Metabolic traits | ||||
↑ Body weight | ✔ | ✔ | ✔ | ✔ |
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔ |
Adipocyte hypertrophy | ✔ | |||
Dyslipidemia | ✔ | |||
Insulin resistance/ hyperinsulinemia | ✔ | ✔ | ✔ | |
Glucose intolerance | ✔ | ✔ | ✔ | |
4. References | (137, 138) | (139) | (140, 141) | (142) |
Species . | . | Mouse . | . | Rat . |
---|---|---|---|---|
Modified gene . | NGF/17NF overexpression . | hCGb subunit overexpression . | IR/LepRPOMC knockout . | JCR:LA-cp LepR defect . |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✔ |
Polyfollicular ovaries | ✔ | ✔ | ✔ | |
Traits accompanying PCOS | ||||
1. Ovary | ||||
↑ Ovary weight or size | ✖ | ✖ | ||
↑ Preantral /antral follicles | ✔ | ✖ | ✖ | |
Antral follicle arrest | ✔ | ✔ | ✔ | |
↑ Follicle atresia | ✔ | ✔ | ✔ | |
↑ Theca cell layer thickness | ✔ | ✖ | ||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ||
↓ Fertility or fecundity | ✔ | ✔ | ✔ | |
2. Neuroendocrine regulation | ||||
↑ LH or ↑ LH:FSH ratio | ✖ | ✖ | ✔ | |
3. Metabolic traits | ||||
↑ Body weight | ✔ | ✔ | ✔ | ✔ |
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔ |
Adipocyte hypertrophy | ✔ | |||
Dyslipidemia | ✔ | |||
Insulin resistance/ hyperinsulinemia | ✔ | ✔ | ✔ | |
Glucose intolerance | ✔ | ✔ | ✔ | |
4. References | (137, 138) | (139) | (140, 141) | (142) |
Abbreviations: hCGb, human chorionic gonadotropin subunit β; IR/LepRPOMC knockout, mice lacking leptin and insulin receptors in pro-opiomelanocortin neurons; LepR, leptin receptor; NGF, nerve growth factor.
✔, PCOS-like trait present; ✖, PCOS-like trait not present; “blank,” not reported by investigators in publication.
Species . | . | Mouse . | . | Rat . |
---|---|---|---|---|
Modified gene . | NGF/17NF overexpression . | hCGb subunit overexpression . | IR/LepRPOMC knockout . | JCR:LA-cp LepR defect . |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✔ |
Polyfollicular ovaries | ✔ | ✔ | ✔ | |
Traits accompanying PCOS | ||||
1. Ovary | ||||
↑ Ovary weight or size | ✖ | ✖ | ||
↑ Preantral /antral follicles | ✔ | ✖ | ✖ | |
Antral follicle arrest | ✔ | ✔ | ✔ | |
↑ Follicle atresia | ✔ | ✔ | ✔ | |
↑ Theca cell layer thickness | ✔ | ✖ | ||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ||
↓ Fertility or fecundity | ✔ | ✔ | ✔ | |
2. Neuroendocrine regulation | ||||
↑ LH or ↑ LH:FSH ratio | ✖ | ✖ | ✔ | |
3. Metabolic traits | ||||
↑ Body weight | ✔ | ✔ | ✔ | ✔ |
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔ |
Adipocyte hypertrophy | ✔ | |||
Dyslipidemia | ✔ | |||
Insulin resistance/ hyperinsulinemia | ✔ | ✔ | ✔ | |
Glucose intolerance | ✔ | ✔ | ✔ | |
4. References | (137, 138) | (139) | (140, 141) | (142) |
Species . | . | Mouse . | . | Rat . |
---|---|---|---|---|
Modified gene . | NGF/17NF overexpression . | hCGb subunit overexpression . | IR/LepRPOMC knockout . | JCR:LA-cp LepR defect . |
Traits approximating or biomarkers for criteria used for PCOS diagnosis in women (at least 2 out of 3 required) | ||||
Intermittent or absent ovulatory cycles | ✔ | ✔ | ✔ | ✔ |
Elevated endogenous androgen levels or biomarkers of elevated androgens | ✔ | ✔ | ✔ | ✔ |
Polyfollicular ovaries | ✔ | ✔ | ✔ | |
Traits accompanying PCOS | ||||
1. Ovary | ||||
↑ Ovary weight or size | ✖ | ✖ | ||
↑ Preantral /antral follicles | ✔ | ✖ | ✖ | |
Antral follicle arrest | ✔ | ✔ | ✔ | |
↑ Follicle atresia | ✔ | ✔ | ✔ | |
↑ Theca cell layer thickness | ✔ | ✖ | ||
↓ Oocyte maturation or developmental competence | ✔ | ✔ | ||
↓ Fertility or fecundity | ✔ | ✔ | ✔ | |
2. Neuroendocrine regulation | ||||
↑ LH or ↑ LH:FSH ratio | ✖ | ✖ | ✔ | |
3. Metabolic traits | ||||
↑ Body weight | ✔ | ✔ | ✔ | ✔ |
↑ Body fat or BMI | ✔ | ✔ | ✖ | ✔ |
Adipocyte hypertrophy | ✔ | |||
Dyslipidemia | ✔ | |||
Insulin resistance/ hyperinsulinemia | ✔ | ✔ | ✔ | |
Glucose intolerance | ✔ | ✔ | ✔ | |
4. References | (137, 138) | (139) | (140, 141) | (142) |
Abbreviations: hCGb, human chorionic gonadotropin subunit β; IR/LepRPOMC knockout, mice lacking leptin and insulin receptors in pro-opiomelanocortin neurons; LepR, leptin receptor; NGF, nerve growth factor.
✔, PCOS-like trait present; ✖, PCOS-like trait not present; “blank,” not reported by investigators in publication.
The current lack of clarity in the literature regarding when an animal model does or does not qualify as PCOS-like, is highly pertinent, because it causes confusion regarding the relevance or translatability of an animal model claiming to be PCOS-like (143). In addition, the recent proliferation of animal model publications requires context and perspective as to the specific usefulness and application of each model to PCOS, ranging across genetically derived mice models (31), hormonally and nonhormonally manipulated models (34, 38) and naturally hyperandrogenic NHP models with striking genetic similarity to humans (37, 144). Further elucidation of the underlying etiologies of PCOS is imperative if we are to develop new effective strategies to manage and potentially cure PCOS. Thus, we caution against recent clinical arguments to restrict PCOS research to humans because of the presumption that it is a “uniquely human disorder” (143). Such research restrictions will hinder not only progress in fundamental understanding of PCOS pathogenesis, but will also impair our appreciation of the ancient biological origins of PCOS (23, 25) that may prove vital in formulating transformative benefits to clinical care.
Consequently, this review aims to describe models that best reflect (Tables 1-3) or poorly reflect (Supplementary Table 1a and 1b) (36) clinical PCOS. The relevance of different NHP, sheep, and rodent PCOS-like models to specific aspects of PCOS etiopathogenesis and adult pathologic dysfunction will be discussed and will include consideration of accompanying neuroendocrine and metabolic dysfunction, together with other clinically relevant sequelae, based on a defined and targeted consideration of the literature in light of recent findings (Tables 1-3).
Human PCOS—Hallmark Manifestations
Defining diagnostic criteria for PCOS
Hyperandrogenism and hyperandrogenemia together form a key PCOS diagnostic feature exhibited by > 80% of women with PCOS. Clinical hyperandrogenism is defined by a modified Ferriman Gallwey score (mFG) ≥ 4 to 6, indicating hirsutism (145). Biochemical hyperandrogenemia in women with PCOS includes elevated circulating levels of T, as well as calculated bioavailable free (unbound) T and free androgen index (FAI), elevated circulating levels of androstenedione and elevated dehydroepiandrosterone sulfate (DHEA-S). Insufficient precision, sensitivity and specificity of methods used to measure circulating T, androstenedione and DHEA-S, and also estrogens, by liquid chromatography–tandem mass spectrometry versus assays based on antibody crossreactivity, make comparisons difficult to interpret between various studies (clinical or animal models), particularly since there are no trustworthy cutoff levels for biochemical hyperandrogenemia.
Polycystic ovarian morphology (PCOM) is defined as the presence of more than 20 follicles measuring 2 to 9 mm in diameter per human ovary and/or an increased ovarian volume of ≥ 10 cm3 (145). With PCOM, the number of follicles 2 to 5 mm in diameter positively correlates with serum androgen levels, while the number of follicles 6 to 9 mm in diameter negatively correlates with fasting serum insulin and testosterone levels, as well as body mass index (BMI), suggesting that ovarian hyperandrogenism promotes excessive early follicular growth that does not progress to the dominant stage due to hyperinsulinemia and/or androgen excess (3). These ovarian characteristics distinguish PCOM from other forms of polyfollicular ovarian morphology, which can be a normal stage of development in adolescence or can accompany other forms of ovarian dysfunction. Large, cystic ovarian follicles are therefore not typical of PCOM. PCOM is frequently observed in normal women, and several factors such as pharmacological treatment, may affect ovarian size and morphology (146, 147). Isolated PCOM without other diagnostic criteria is therefore not indicative of PCOS. Based on general population data, periods of irregular cycles in women with PCOS, defined as > 35 or < 21 days that persist 2 or more years postmenarche, are likely to indicate oligo-anovulation (145). With increasing adolescent gynecologic age, therefore, fewer pubertal women experience cycles exceeding 45 days (145), while adult women over 40 and with PCOS can exhibit more frequent ovulatory menstrual cycles (145).
Hyperandrogenism, ovarian morphology, and follicular and oocyte dysfunction
LH-regulated ovarian androgen production is the main source of androgen hypersecretion in women with PCOS, although adrenocorticotropic hormone (ACTH)-regulated adrenal androgen excess may contribute in approximately 25% who demonstrate enhanced 17-ketosteroid responses to ACTH (148-150). Intrinsic dysfunction within PCOS theca cells also contributes to ovarian hyperandrogenism (151, 152). Exaggerated ovarian antral follicle numbers observed in women with PCOS partly arise from theca cell hyperandrogenism, which promotes primary follicle recruitment, leading to increased numbers of gonadotropin-independent preantral and small antral follicles (153). LH hypersecretion in ~75% of women with PCOS (154) further stimulates theca cell hyperandrogenism, whereas relatively diminished follicle-stimulating hormone (FSH) levels inhibit expansion of follicular size and maturity, curtailing selection of a dominant, pre-ovulatory follicle and diminishing the likelihood of ovulation, as mechanistically illustrated in Figs. 1 and Figs. 2a and 2b. Importantly, normoandrogenic women with PCOM show increased androgen release to gonadotropin-releasing hormone (GnRH) agonist challenge and thus can also exhibit a hyperandrogenic ovarian response (155-157), but are not PCOS.

Hypothetical contribution of environmental, epigenetic, and genetic factors in the pathophysiology of PCOS. PCOS is a heterogeneous endocrine disorder and its pathogenesis is poorly understood. Current evidence supports gene-environment interactions and epigenetic regulation in the origins of PCOS. The inherited genetic component appears to span all organ systems and physiological function, with epigenetics capable of modifying the expression patterns of inherited genes. Environmental elements can influence all developmental components by impacting organ systems, physiological function and epigenetic regulation, with population-specific environmental elements thought to bring about ethnic differences in PCOS sub-phenotypes. While substantial gaps in knowledge still exist, further insights into our understanding of genetic and developmental contributions to the etiology of PCOS will significantly improve our ability to diagnose, treat, and prevent PCOS in the future.

Neuroendocrine mechanisms potentially involved in mediating the development of PCOS. Substantial evidence now supports a key role for the neuroendocrine system in the pathogenesis of PCOS. Panel (A) illustrate rodent and panel (B) primate hypothalamus-pituitary-gonadal feed-back loops. The elevated LH:FSH ratio observed in women with PCOS is likely due to increased activity and secretion from GnRH neurons in the rostral forebrain (mice) and mediobasal hypothalamus (NHP and humans). The resulting increase in LH pulsatility contributes to the development of PCOS ovarian features, including theca cell hyperplasia and elevated androgen production. Impaired gonadal steroid hormone negative feedback sensitivity is indicative of brain specific impairments in the regulation of GnRH neurons. Recent research using animal models has identified that alterations in GABA, KNDy, and AMH brain-specific signaling are likely involved in GnRH neuron hyperactivity in PCOS. In hyperandrogenized PCOS animal models GABA circuit abnormalities develop before PCOS symptoms emerge (97, 158), and adult females exhibit increased GABA transmission to GnRH neurons (93), together with increased innervation to GnRH neurons (95), and yet AR blockade restores normal GABA innervation and transmission (93, 97). KNDy neurons play a key role in pulse generation (159, 160), however, varied subtle and frequently absent differences in the KNDy circuit have been identified in hyperandrogenized PCOS animal models (52, 53, 56, 91, 132, 161, 162). AMH directly stimulates GnRH activity (163) and prenatal maternal AMH excess has been shown to induce PCOS characteristics in mice, including increased GABAergic appositions to GnRH neurons and increased GnRH neuron firing rate in adulthood (107).
Hyperinsulinemia from insulin resistance related to PCOS can accompany hyperandrogenism and implicates metabolic dysfunction in women with PCOS. Insulin synergizes with LH to enhance ovarian theca cell androgen production, while also reducing hepatic sex hormone–binding globulin (SHBG) synthesis, causing elevated circulating levels of total and free T (164, 165). Furthermore, insulin excess inhibits ovarian follicular maturation through premature luteinization, as evidenced by augmented gonadotropin-stimulated estradiol and progesterone release (153, 166). This is because hyperinsulinemia enhances FSH-induced upregulation of LH receptors in granulosa cells during differentiation, which arrests cell proliferation and subsequent follicle growth, while increasing granulosa cell ability to produce progesterone in response to LH (167). Consequently, cultured granulosa cells from small PCOS follicles show a premature response to LH and an exaggerated steroidogenic shift from estradiol to progesterone production (168).
Hyperinsulinemia from adiposity-dependent insulin resistance can further sensitize thecal cells to LH stimulation and, in doing so, disrupt follicle development through synergistic actions of insulin and LH on enhancing ovarian theca cell androgen production (Fig. 1) (169-171). These insulin-LH interactions coexist in the presence of adipose-derived leptin overproduction that can inhibit FSH- and/or insulin-like growth factor 1 (IGF1)-stimulated granulosa cell steroidogenesis (172, 173).
In addition to ovarian hyperandrogenism, women with PCOS have 2- to 3-times higher circulating levels of AMH than women with healthy ovaries (174-176). AMH is a complex regulator of folliculogenesis and has been implicated in diminishing both primordial follicle recruitment (177-182) and FSH-regulated antral follicle development. AMH and AMH type 2 receptor, however, are not expressed in primordial follicles from NHP (183) and women (184). Elevated circulating AMH levels in women with PCOS are mainly due to large numbers of secondary preantral and nondominant antral follicles. Within women with PCOS, circulating AMH levels reflect the severity of PCOS phenotype, being higher in anovulatory than in ovulatory PCOS patients (185, 186). Measures of circulating AMH have been suggested to replace more costly and less accessible vaginal ultrasound in PCOS diagnosis, but a recent systematic review calls for more reliable cutoff values for AMH, assay standardization, and improved assay quality (176). Of interest, AMH diminishes primordial follicle recruitment in rodents, while it enhances primary to secondary follicle recruitment in NHP (177-182) before diminishing FSH-dependent antral follicle development. This emphasizes the importance of animal models in exploring AMH action during folliculogenesis across species and their differing implications for understanding ovarian folliculogenesis in women.
Intraovarian factors such as transforming growth factor-β (TGF-β) superfamily members beyond AMH, including inhibin, activin, bone morphogenic proteins (BMPs) and growth differentiation factors (GDFs) may also contribute to abnormal follicle development in women with PCOS (187). New generation serum assays suggest BMP15 and GDF9 associations are aberrant in women with PCOS (188). Furthermore, there are intriguing interactions between oocyte and granulosa cell signaling systems producing many of these intraovarian factors (189).
Single-cell transcriptomics have revealed delayed oocyte development in women with PCOS, likely due to diminished expression of genes associated with meiosis, gap junctional communication, hormone receptor signaling, and secreted factors (190, 191). This was further supported by increased expression of genes linked to DNA repair which may reflect low quality of oocytes and a poor environment for oogenesis. Furthermore, hormone receptors are downregulated in metaphase II (MII) stage oocytes, including AMH type 2 receptor (AMHR2), luteinizing hormone/chorionic gonadotropin receptor (LHCGR), oxytocin receptor (OXTR) and K (lysine) acetyltransferase 2B (KAT2B) (190). An additional study of MII-stage oocytes from women with PCOS found a preponderance of upregulated genes with particular relevance to meiosis regulation, including spindle dynamics, homologous recombination/chromosome alignment, cell cycle checkpoints, and centrosome function (192). Altogether, women with PCOS have dysfunctional ovarian follicular development and hyperandrogenic steroidogenesis, together with diminished oocyte quality, all of which require further investigation since currently employed therapeutic approaches ameliorate, but do not eliminate, follicle and oocyte impairments. Because our knowledge of oocyte quality in PCOS is based upon indirect markers of oocyte development, including gene expression and follicular fluid hormone levels (both in vivo and in vitro), animal models and in vitro follicle cultures are required to further understand the adverse implications of PCOS-related metabolic versus reproductive dysfunction on oocyte physiology.
Hypothalamus-pituitary-gonadal axis
Increased LH pulse frequency, an elevated serum LH/FSH ratio, and greater pituitary LH responsiveness to GnRH in women with PCOS (31) are all likely due to an increased frequency of pulsatile GnRH secretion from neurons in the hypothalamus into the anterior pituitary portal venous drainage (3, 31, 193). The pulsatile secretory pattern for GnRH is regulated by feedback from the ovarian steroid hormones estradiol and progesterone (Figs. 2a and 2b). In contrast to women without PCOS, women with PCOS have an impaired negative feedback system, as evidenced by the need for higher doses of exogenously administered estradiol and progesterone to diminish elevated LH pulse frequency (194, 195). Since treatment of PCOS patients with the anti-androgen flutamide normalizes their estradiol and progesterone feedback regulation, elevated T may well act to diminish estradiol-mediated progesterone receptor expression within the hypothalamus of women with PCOS (Fig. 2b) (Marshall hypothesis) (196).
A recently noted AMH action at the hypothalamic level may additionally enhance GnRH release in women with PCOS (106). AMH receptors are expressed in human GnRH neurons and AMH can directly increase GnRH-dependent LH secretion (Fig. 2a, b) (163). These findings imply that high ovarian AMH levels in women with PCOS can regulate both ovarian follicle development and hypothalamic GnRH release (191). The brain represents another source of AMH production in rodents and humans, with GnRH neurons expressing both AMH and AMHR2 from early embryonic development to adulthood (197). It would be straightforward to measure AMH levels in the cerebrospinal fluid of women with and without PCOS and to use tissue-specific conditional AMH-knockout animals to examine ovarian versus neural AMH action on GnRH secretion (197).
Obesity and metabolic disease accompanying PCOS
Metabolic disease-related sequelae for PCOS include insulin resistance and T2D, cardiovascular disease, dyslipidemia, abdominal obesity together with altered adipose tissue morphology and function, as well as sleep apnea (1-3). These additional traits all add considerable clinical complexity to the management of PCOS. Obesity is well known to enhance the severity of the PCOS phenotype (26), highlighted by the finding that for each 1-point increment in BMI above the normal range, PCOS prevalence increases ~9%, resulting in an increase of PCOS prevalence from ~5% at normal BMI to ~15% in obese women (26). This association does not necessarily suggest causation. Obesity and hyperandrogenism may independently affect female reproductive function. Considering that 30% to 50% of PCOS patients are normal weight, distinct molecular targets may underlie the pathogenesis associated with lean and obese PCOS. Therefore, it is important to investigate PCOS-like models that reflect a range of metabolic phenotypes. Due to the complexity of the PCOS phenotype, understanding the major pathological mechanisms underlying PCOS pathogenesis is problematic to investigate in humans. Animal models, therefore, provide a versatile platform from which to assess how different factors, including obesity, contribute and interact to mediate the pathogenesis of PCOS and accompanying sequelae, allowing insights into key pathological mechanisms that will enable development of new treatments.
Familial and highly heritable
In a monozygotic twin study, the heritability of PCOS has been estimated as ~70% (18) which is almost double that in dizygotic twins ~40% (18) and suggests a genetic susceptibility to the disorder. A large-scale, genome-wide meta-analysis of PCOS found comparable genetic characteristics between self-reported PCOS and PCOS diagnosed by National Institutes of Health (NIH) or Rotterdam criteria (198), implicating shared genetic origins for the heterogenous phenotypes. At least 26 replicated PCOS risk genes have emerged from studies of human populations (6, 198-202) regulating a variety of reproductive functions, including gonadotropin secretion (FSHB), gonadotropin action and ovarian function (AMH and AMHR2; LHCGR, STON1 and GTF2A1L; FSHR; DENND1A; RAB5B and SUOX: HMGA2; C9orf3; YAP1; TOX3; RAD50; FBN3), as well as metabolic (THADA, GATA4 and NEIL2, ERBB2, ERBB3, ERBB4, SUMO1P1, INSR, KRR1) and neural (KCNA4) function (6, 198, 199, 202). PCOS risk genes are associated with hyperandrogenism, including T levels, along with abnormal gonadotropin regulation. Furthermore, following Mendelian randomization analyses, BMI, fasting insulin, age at menopause, and depression, together with male-pattern balding among close male relatives, are all implicated in PCOS etiopathogenesis, thus providing a causal link to depression among women with PCOS and the first genetic evidence for a “male phenotype” for PCOS. Despite this, susceptible loci identified by genome-wide association study (GWAS) have only a modest effect size and explain only a minor portion of the estimated heritability. One possible explanation is that common genetic variants detected by GWAS have small biological effects, whereas rare genetic variants identified with whole-genome sequencing (WGS) or whole-exome sequencing (WES), likely have larger biological effects in complex diseases such as PCOS (203). This hypothesis has been tested by using WGS together with targeted sequencing in which 18 PCOS-specific rare AMH variants were identified (6), as well as 32 rare DENNDA1A variants among 50% (32 out of 62) of PCOS families (5). These findings implicate both AMH and DENNDA1A in the pathogenesis of PCOS. Interestingly, the posttranscription truncated isoform of DENND1A (DENND1A.V2) is overexpressed in women with PCOS and is functionally implicated in ovarian theca cell hyperandrogenism (204).While there are currently only a few studies investigating the contribution of rare genetic variants, this field will undoubtedly evolve in the future.
Increasing evidence for developmental origins
Despite the progressive accumulation of evidence for PCOS risk genes (205), other factors increasing susceptibility to this complex disorder are likely involved, including environmental and epigenetic mechanisms. The developmental origin of adult disease (DoHAD) (206) or Barker hypothesis (207) refers to critical exposure(s) during gestation that permanently alter fetal physiology and/or morphology and fetal development, increasing the susceptibility to disease when adult, and likely influence phenotypic expression and transgenerational transmission of PCOS.
Circulating levels of T and other androgens are 3-fold higher in women with PCOS (208, 209), and the severity of reproductive and metabolic dysfunction, including pregnancy complications, are positively associated with maternal androgen levels (210-213). During pregnancy, such high levels of circulating androgens negatively affect placenta steroidogenesis and nutrient transport (214-216). In addition, women with PCOS are more often obese than women without PCOS, thus further increasing the risk of pregnancy complications, including miscarriage and gestational diabetes, as well as small or large for gestational age infants (210, 211). As discussed above, daughters of women with PCOS display 2 strong markers for in utero androgen exposure, a longer AGD and increased facial sebum production (19, 20). These clinical observations support the DoHAD hypothesis (206, 207) for fetal androgen excess contributing to developmental programming of PCOS. A population-based study has utilized maternal PCOS as a model of prenatal androgen exposure and demonstrates that daughters of women with PCOS are at increased risk of neuropsychiatric disorders, even when accounting for familial confounding, ie, genetic factors (217). This Swedish nationwide registry-based study with over ~29 700 daughters, of whom ~2300 were born to mothers diagnosed with PCOS, demonstrates that daughters of women with PCOS have a 5-fold increased risk of subsequent diagnosis with PCOS (10). These findings were further confirmed in daughters of women with PCOS from a separate case-control study in Chile. These PCOS daughters showed elevated circulating androgens, irregular menstrual cycles, and polycystic ovaries, as well as metabolic disturbances including elevated blood pressure, larger waist circumference indicating abdominal obesity, and higher BMI than daughters of women without PCOS. Of note, these findings cannot separate eventual confounding genetic factors from a causal association. Investigation into whether elevated maternal androgen influences transgenerational susceptibility to PCOS is not yet feasible in humans, and longitudinal studies following women with PCOS across several generations are logistically unrealistic. Therefore, PCOS animal models provide an opportunity to greatly increase our knowledge of how PCOS phenotypic expression is programmed by an altered maternal endocrine-metabolic environment, potentially through developmental epigenetic modifications that adversely affect long-term offspring health (organizational effects).
Animal Models of PCOS
Evolutionarily conserved mammalian physiological systems enable the use of experimentally manipulated or naturally occurring animal models to provide biological and clinically relevant insight into PCOS etiopathogenesis. Animal models allow highly invasive investigative procedures that are otherwise unethical in humans. Indeed, fundamental understanding of a human disorder is often only identified following insightful revelations from customized animal models. For example, estrogen resistance was considered incompatible with life until the first estrogen receptor knockout mouse was reported (218), a finding subsequently confirmed in humans. Further elucidation of PCOS etiopathogenesis utilizing animal models is imperative if we are to develop more effective strategies to manage and potentially cure PCOS.
What is a relevant animal PCOS model?
Animal models of relevance to PCOS must, by necessity, have comparability to women with PCOS by exhibiting 2 or more PCOS-like equivalents of the Rotterdam criteria, as illustrated in Tables 1-3 and Supplementary Table 2 (36). Such models stand in contrast to those illustrated in Supplementary Tables 1a and 1b (36) exhibiting (i) only a single PCOS-like trait, such as T-treated neonatal rats, (ii) 2 or more PCOS-like traits alongside PCOS endocrine-mimics (including hyperprolactinemia and hypogonadotropic amenorrhea), such as DHEA-treated peripubertal or adult female rodents, or (iii) 2 or more PCOS-like traits generated by non-PCOS like mechanisms, (such as testis Leydig cell-typical HSD17B3 contributing to ovarian theca cell hyperandrogenism) as found in estrogen receptor or aromatase knock-out female mice. In this review, a clear distinction is made between such animal models with potentially limited mechanistic relevance for PCOS, as illustrated in Supplementary Tables 1a and 1b (36), and those illustrated in Supplementary Table 2 (36), where genetically modified mice, that are themselves not PCOS-like models, have been combined with a rodent PCOS-like model and have clearly demonstrated their relevance towards PCOS mechanistic understanding. These latter animal models comprise peripubertal dihydrotestosterone (DHT)-induced PCOS-like mice combined with female mice genetically manipulated, including those with whole body or organ/cell specific gene knockout of androgen receptors (AR) (219). Such models are contributing immensely to our molecular understanding, as some are unresponsive to androgen programming of a PCOS-like adult phenotype, hence demonstrating the vital contribution of AR either during development and/or in a single organ system as the molecular foundation on which prenatal PCOS-like programming and the DoHAD hypothesis relevant to PCOS are built.
Prenatal models
Prenatally androgenized (PNA) female NHP, sheep, rats, and mice manifest reproductive and metabolic PCOS-like phenotypes in adulthood, as described in Table 1. Collectively, these animals provide unique perspectives of how hyperandrogenism and obesity interact to worsen the PCOS phenotype, as seen in Western societies due to the obesity epidemic. Furthermore, normal-weight women with PCOS, defined by NIH criteria, may or may not exhibit metabolic dysfunction (220-222). PNA models are derived from injecting their dams subcutaneously or intramuscularly with T, T propionate, DHT, DHT propionate, or AMH at various doses and at various gestational ages ranging from early-to-mid to late gestation. The doses used for NHP exceed those for nonprimates in order to overwhelm the NHP placenta’s extensive capacity to aromatize or inactivate androgen (41). NHP models provide the most comprehensive obese PCOS-like phenotypes, particularly early- to mid-gestation PNA NHP. Their genomic and epigenomic comparability to humans enables ready translation of understanding and therapeutic modeling. PNA sheep, which also represent a lean PCOS-like phenotype, have enabled multiple longitudinal studies aimed at careful characterization of PCOS-like traits at multiple developmental time points (223), identifying pre-PCOS-like traits and biomarkers of high translational interest to pediatricians. PNA female NHP and sheep also provide attractive model attributes, including precocial offspring, absence of litters (typical of rodents, but not humans), use of various surgical and experimental procedures and interventions, and relatively large body sizes for detailed and repetitive hormonal profiling and measurement of hypothalamic neuropeptides. Developmental trajectories of several organ systems in NHP and sheep also emulate their counterparts in humans, therefore providing strong translational relevance. In one sense, as habitual mono-ovulators, NHP and sheep models can truly emulate polycystic ovaries, in contrast to multi-ovular rodents, providing more directly translatable understanding regarding ovarian pathophysiology.
Several PNA mice models represent a lean PCOS-like phenotype by recapitulating the reproductive and neuroendocrine pathology of PCOS. Perhaps the most striking of all PNA mouse attributes, however, is the ability to commit genetically manipulated female mice to PNA programming to identify the molecular profile of PNA, and then develop potential therapeutic countermeasures. The PNA mouse model using DHT administration in late gestation enables elucidation of AR-mediated mechanisms involved in PCOS etiopathogenesis, avoiding the confounding effects of T aromatization to estradiol. PNA adult mice exhibit elevated plasma levels of T (hyperandrogenism), impaired estrous cyclicity (oligoovulation), and modified follicular wall morphology similar to PCOS, specifically decreased granulosa cell layer and increased theca cell layer thickness (93-96). PNA treatment of AR knockout (ARKO) mice does not cause hyperandrogenism, disrupted estrous cyclicity, or altered ovarian morphology, suggesting that the PNA-induced, PCOS-like mouse phenotype is dependent upon AR signaling (161).
Circulating AMH levels are significantly higher in naturally occurring hyperandrogenic female rhesus monkeys (Supplementary Table 3) (36), which mimics cardinal features of women with PCOS (37). Interestingly, 2 recent studies (107, 224) showed that pregnant women with PCOS maintain significantly higher serum AMH levels and a positive correlation exists between gestational AMH and androgen levels in humans during late pregnancy (107). Interestingly, this corresponds with a time window sensitive to triggering the PCOS-like phenotype in offspring of PNA models (224). This 2-fold increase in AMH levels compared with controls implicates AMH as another potential candidate in the prenatal androgen excess programming of PCOS. In support of this hypothesis, excess prenatal AMH exposure in mice engages a series of events in the dams, which leads to a fetal androgen excess programming of exposed female offspring into a PCOS-like reproductive and neuroendocrine phenotype in adulthood (Table 1) (107).
Neonatal, peripubertal, and adult models
Neonatal T and DHT treatments of female mice and rats, and neonatal and adult T treatments of NHP, all fail to induce sufficiently PCOS-like animal models (Supplementary Table 1) (36). In contrast, peripubertal DHT exposure of mice and rats by subcutaneous implantation of ~3- to 4-week-old females with an implant containing DHT for a period of 3 months (96, 114, 115, 122, 123, 225-227) elicits an adult phenotype that displays a breadth of endocrine, reproductive, and metabolic PCOS-like traits (Table 2). Continuous low-dose DHT exposure initiated in adulthood can also initiate PCOS-like reproductive dysfunction and some metabolic features, including insulin resistance and pancreatic B-cell defects (126-129).
The peripubertal letrozole-induced PCOS-like mouse and rat models are generated in an analogous way to the DHT-induced model. Letrozole is an aromatase inhibitor that causes endogenous hyperandrogenaemia, neuroendocrine alterations, and reproductive as well as metabolic abnormalities (115, 119, 120, 123, 132, 228) (Table 2 and Supplementary Table 1a and 1b) (36). Interestingly, adding anti-TNFα, anti-inflammatory therapy to continuing letrozole treatment largely reversed hyperandrogenemia as well as reproductive and metabolic PCOS-like traits (121). This model is based on the finding in hyperandrogenic PCOS women of rare genetic variants of CYP19A1, the aromatase gene converting androgens to estrogen, that are associated with lower aromatase activity (229-231). However, women with NIH-defined PCOS (but perhaps not all) are estrogen-replete, having circulating estrogen levels comparable to the midfollicular phase of the normal menstrual cycle (232, 233). Administration of letrozole to adult female mice results in a similar reproductive phenotype, but unlike the peripubertal letrozole-induced mice, adult female mice exposed to continuous letrozole do not develop obesity or insulin resistance (136). Therefore, this model represents the lean reproductive phenotype.
Peripubertal T induced PCOS-like NHP exhibit polyfollicular ovaries and diminished fertility and fecundity in the presence of continuous exogenous T (Table 2). Accompanying PCOS-like traits include LH hypersecretion. When combined with diet-induced obesity (DIO), peripubertal T NHP exhibit metabolic dysfunction, including metabolic compromise of the placenta during gestation. Collectively, these models demonstrate the powerful activational action of postnatal manipulations that can generate sufficient PCOS-like traits from females in the absence of organizational effects on gestational programming. In contrast to models induced by organizational actions of manipulations during development (Table 1), there is little or no evidence for permanently reprogrammed PCOS-like phenotypes following activational postnatal manipulation. In this latter regard, ~83% of female-to-male adolescent and adult transgender patients resumed menstrual cycles with normal circulating levels of estradiol, FSH and AMH at ~4 months following cessation of approximately 3 to 4 years of transgender androgen therapy (234), suggesting that adolescent or adult onset T treatment does not reorganize ovarian function.
Naturally occurring female hyperandrogenism occurs in adult female macaques with PCOS-like reproductive and metabolic traits (37, 144) and potentially has mid-gestation hyperandrogenic origins. Rhesus macaques share > 95% DNA sequence identity with humans at protein-coding exons, confirming a close evolutionary history. Studies of complex polygenic diseases in these NHP demonstrate how damaging mutations often generate pathological phenotypes almost indistinguishable from analogous diseases in humans (235-241). Therefore, gene variants in the rhesus macaque exome that resemble those previously identified in human PCOS candidate genes are likely to have comparable physiological consequences across primates.
Genetic models and combined PCOS-like and genetic models
The generation of customized genetically manipulated mouse models has provided a versatile and valuable tool for decisive mechanistic studies aimed at understanding the underlying pathogenic mechanisms involved in the development of PCOS. In recent studies, in which ARKO mouse models have been combined with DHT-induced mouse models of PCOS, significant advances have been made in deciphering the role of hyperandrogenism and its site of action in the organizational development of PCOS characteristics. Complete or partial AR insufficiency protects PNA female mice from developing characteristics of PCOS, including acyclicity, ovulatory dysfunction, and adipocyte hypertrophy (161). These results infer a key role for AR-mediated actions in the development of PCOS. Moreover, recent studies have used molecular modeling in global and cell-specific ARKO mouse models to begin deciphering key AR target sites involved in the pathogenesis of PCOS. Transgenic silencing of AR actions in the brain in peripubertal DHT-induced experimental PCOS mice either fully or partially prevent the development of most reproductive and metabolic PCOS traits normally observed, including ovulatory dysfunction, polyfollicular ovaries, adiposity, adipocyte hypertrophy, dyslipidemia, and hepatic steatosis (124). Additionally, a pituitary-specific loss of AR signaling protects against the development of cycle irregularity and ovulatory dysfunction (126) and when peripubertal DHT onset commences in ovariectomized global ARKO mice with transplanted control ovaries (ovaries have functioning AR), normal ovarian cycle patterns are maintained (124). In comparison, loss of AR function in granulosa cells alone did not protect mice from developing most PCOS characteristics (124). Similarly, inactivation of theca cell AR signaling in a hyperandrogenized PCOS mouse model only partially protected against the PCOS traits of acyclicity, ovulatory dysfunction, and infertility (242). Collectively, these findings emphasize the brain as a crucial site for androgen actions at the core of PCOS pathogenesis (219) (Supplementary Table 2) (36).
Adiponectin secreted from adipose tissue can be decreased in women with PCOS and low levels are strongly associated with insulin resistance (243). The adiponectin-overexpressing transgenic mouse has been used to study the causal relationship between adiponectin levels and reproductive as well as metabolic functions in the peripubertal DHT-induced PCOS mouse model (244). DHT exposure in wild-type mice decreases adiponectin levels, revealing that elevated adiponectin levels in these transgenic mice enables them to remain metabolically healthy despite DHT exposure. Reproductive function, however, is still impaired by peripubertal DHT exposure (Supplementary Table 2) (36).
Altered sympathetic activity has been proposed in the development of PCOS. Indirect and direct measurements of sympathetic nerve activity suggest sympathetic hyperactivation in PCOS. T levels are positively correlated with high sympathetic nerve activity in women with PCOS (245) and an increase in sympathetic outflow impairs metabolic and reproductive functions (245-249). Increased expression of nerve growth factor (NGF) has been found in ovaries from women with PCOS (137). Excess intraovarian NGF elevates sympathetic responses and may initiate ovarian pathology. Support for NGF overproduction as a contributor to pathological conditions of PCOS comes from transgenic mice that overexpress NGF in ovarian theca cells (17NF) and exhibit reproductive and metabolic characteristics of PCOS (137, 138) (Table 3).
Recent evidence points toward the brain as a key target site in the development of PCOS, with insights into potential underlying pathways involved coming from the examination of novel transgenic models. Specific deletion of insulin receptors (IR) and leptin receptors (LepR) from the pro-opiomelanocortin (POMC) neurons in a mouse model (IR/LepRPOMC) results in a PCOS phenotype with female mice displaying irregular cycles, dysfunctional ovulation, reduced fertility, elevated circulating T and insulin levels, increased fat mass and adipocyte hypertrophy, as well as reduced glucose tolerance and insulin resistance (140, 141). In addition, the JCR:LA-cp rodent model, which displays a malfunction of the leptin receptor, has been put forward as a potential model to study the etiology of metabolic disturbances associated with PCOS as it displays increased T concentrations, oligo-ovulation, obesity, insulin resistance, and dyslipidemia (142).
For future investigations into the underlying pathways involved in driving PCOS, the use of transgenic models has the advantage of providing a platform to study specific candidate genes, such as those variants identified from genetic studies of women with PCOS, in isolation or in combinations. Assessment of whether changes in the function of PCOS candidate genes lead to the development of or protection from PCOS-like traits in animal models will provide key insights into PCOS etiology and hence are vital tools for improving our knowledge of the pathogenesis of PCOS.
Reproduction
Neuroendocrinology
PNA and prenatal AMH (PAMH) models.
Hypersecretion of pituitary LH, evident in > 75% of women with PCOS (154), is an almost universal consequence of PNA modeling, from mice to NHP, strongly implicating PNA programming of this neuroendocrine trait. Late gestation PNA in NHP and sheep, however, are the exception, likely due to late gestation PNA occurring after the crucial early- to mid-gestation developmental window for hypothalamic differentiation, following which fetal females no longer respond to reproductive neuroendocrine reprogramming (42). Mechanistic components of this developmental organization have been identified in adult PNA models from characterizing accelerated LH pulse dynamics and associated steroid hormone regulation, providing evidence for disruption of 3 hypothalamic-pituitary feedback systems regulating (GnRH) LH release, namely: negative feedback mediated by estradiol in PNA early- to mid-gestation NHP, sheep, rats, and mice (46, 47, 94, 250) and by progesterone in PNA NHP, sheep, and mice (48, 49, 95, 97, 251), together with positive feedback mediated by estradiol in PNA sheep and rat (50, 51, 252), but not in PNA NHP model or PNA mice (43, 94, 250), the latter emulating women with PCOS (253). Interestingly, since both PNA sheep and mice produced by DHT treatment (31) demonstrate normal positive feedback LH responses to estradiol (94), they provide a clear contrast to PNA sheep produced by T treatment that fail to show positive feedback LH responses to estradiol (47, 254). Programming of impaired positive feedback in nonprimate PNA models may therefore likely involve estrogen receptor (ER)-α–mediated mechanisms.
PNA sheep and PNA rodent models display changes in hypothalamic kisspeptin/neurokinin B/dynorphin (KNDy) expression and circuitry (52-55, 91, 132, 162), implicating the KNDy system as an attractive therapeutic target for modulating AR-driven, pathological neuroendocrine activity in women with PCOS. Indeed, increased circulating levels of kisspeptin have been reported in several populations of PCOS women (255-257), supporting the notion of specific alterations to hypothalamic circuits that may underlie disrupted neuroendocrine regulation of fertility in PCOS. Kisspeptin in the systemic circulation, however, is likely produced from the pituitary and the pancreas. Neuroanatomical evidence implicates kisspeptin/ neurokinin-B/dynorphin and gamma-aminobutyric acid (GABA)ergic neuronal populations in diminished progesterone negative feedback sensitivity on GnRH release (53), including increased neurokinin B receptor, GABAergic input and projections onto GnRH neurons (52, 54-56, 93, 95, 193, 258). At the level of the gonadotrope, pituitary responsiveness to GnRH is increased in early- to mid-gestation PNA NHP and sheep (42, 57) as in women with PCOS. Notably, in PNA sheep, these studies are undertaken after ablation of endogenous GnRH action. PNA-induced developmental changes in female sheep pituitary mRNA expression of GnRH receptor and estrogen receptor α (ESR1), regulators of pituitary sensitivity to both estradiol negative and positive feedback, are implicated in the differential control of LH and FSH (57), partially through hypothalamic AR-mediated inhibition of ESR1-mediated progesterone receptor (PR) expression as evidenced in rodents (259). PR expression is indeed markedly reduced throughout the hypothalamus of PNA female mice, including the anteroventral periventricular (AVPV) nucleus, and, most dramatically in the arcuate nucleus, while ESR1 expression is largely unchanged (95). Within the female arcuate nucleus, PR expression is particularly reduced within GABA neurons (95), suggesting a role for arcuate GABA neurons in mediating diminished progesterone negative feedback in PCOS women and early- to mid-gestation PNA NHP (251). It remains to be determined whether PR expression is diminished in KNDy neurons, key components of the GnRH pulse generator (260) however, the kisspeptin-GnRH/LH system, dynorphin mRNA expression, and kisspeptin cell number are largely unchanged within the arcuate nucleus of PNA mice (161, 261). Taken together, these results suggest that PNA-induced LH hypersecretion is likely the consequence of reduced hypothalamic sensitivity to steroid hormone negative feedback, potentially from diminished neuronal PR expression, together with dysregulated pituitary responsiveness to GnRH (Fig. 2a, b).
Mouse models of PCOS can employ transgenic approaches (262) to dissect the intricate neural regulation of GnRH release. Transgenic mice expressing green fluorescent protein (GFP), specifically in hypothalamic GnRH neurons (GnRH-GFP mice) (263, 264), have facilitated previously unachievable discoveries about the anatomical and functional changes in neuroendocrine circuitry associated with PCOS-like features. These novel mouse models have enabled the first identification of pronounced hypothalamic GnRH neuronal afferent remodeling and altered development and activity of GnRH neurons that accompany LH (and GnRH) hypersecretion. Studies of spontaneous GABAergic events in GnRH neurons found increased GABAergic post-synaptic currents in GnRH neurons of PNA mice (93, 158). They also exhibit anatomical evidence for elevated dendritic spine density and increased GABAergic afferent innervation to GnRH neurons (95, 97), originating largely from the arcuate nucleus (95), a hypothalamic region exquisitely involved in GnRH regulation in all female mammals (265, 266). While widely regarded as the primary inhibitory neurotransmitter in the adult brain, GABA transmission typically depolarizes GnRH neurons (265-267). Thus, increased GABAergic innervation and transmission to GnRH neurons in PNA females likely reflects greater potential to excite these neurons. This finding is quite contrary to prevailing understanding of GABAergic input as hyperpolarizing neurons and stands in marked contrast to the previously well-established inhibitory role of GABAergic-mediated inhibition of GnRH release responsible for the prepubertal “brake” on female reproductive maturation in female NHP (159). Excitatory GABAergic input is dependent upon chloride ion (Cl-) extrusion through the GABAA receptor (266, 267). GnRH neurons in mice maintain a higher [Cl-]i in adulthood by maintaining expression of the Na+-K+-Cl- cotransporter 1, NKCC1 (55, 265-269). PNA female sheep exhibit increased NKCC1 expression on preoptic area GnRH neurons (the most relevant population of GnRH neurons regulating female reproduction in nonprimates, as illustrated in Fig. 2), and increased NKCC1 expression on arcuate nucleus KNDy neurons intimately involved in regulating GnRH release (55).
In this regard, women receiving valproic acid, an anti-epileptic medication that increases central GABA levels, develop PCOS-like symptoms (270), and women with PCOS exhibit increased cerebrospinal fluid concentrations of GABA (271). These clinical correlates further support the notion that PNA programs LH hypersecretion in > 75% of women with PCOS by increasing GnRH neuron depolarization through increased GnRH and KNDy neuronal expression of GABAA receptor–regulated chloride ion transporters. Such novel appreciation of GABA neuronal regulation of GnRH neurons reveals a potential neural therapeutic target for women with PCOS. Recently, acute activation of GABA neurons in the arcuate nucleus of the female mice hypothalamus with opto- or pharmaco-genetics was shown to elicit a long-lasting increase in LH secretion, while chronic activation was found to disrupt reproductive cycling and promote elevation of T levels, a functional induction of PCOS-like reproductive traits resembling those in PNA models (98).
Interestingly, postnatal anti-androgen treatment in PNA female mice normalizes neuroendocrine and ovulatory function (93, 97), while in PNA sheep, anti-androgen treatment normalizes timing of pubertal onset and restores preovulatory follicle growth (272) together with preovulatory LH surges (273). Gestational anti-androgen treatment, alone, restores LH surges, albeit of low amplitude (273). In some women with PCOS, 6 months of anti-androgen therapy also improves fertility, menstrual cyclicity, and LH levels (274), while 7 to 10 days of anti-androgen normalizes progesterone negative feedback regulation of episodic GnRH/LH release (194, 195). In agreement with these findings, normalization of LH pulsatility through intermittent administration of a GnRH antagonist has also been shown to normalize neuroendocrine and ovulatory function in adult PAMH mice (107).
These therapeutic findings strongly suggest that PCOS and PCOS-like traits require ongoing hyperandrogenic action mediated through AR at the hypothalamo-pituitary and/or ovarian levels to maintain PCOS pathophysiology. By no means does this eliminate important roles for ESR1 and PR in PCOS pathogenic mechanisms, but these findings together with those from the “PCOS rescue” ARKO models (Supplementary Table 2) (36), place ESR1 and PR downstream of AR in the pathogenic induction of PCOS-like traits. In line with this, DHT increases and progesterone decreases GABA-mediated post synaptic currents in GnRH neurons (275) and DHT interferes with progesterone inhibition of GABA activity (276). The specific mechanisms by which androgens impact ER/PR actions and expression are not clear, but likely involve androgen-mediated suppression of PR transcription. Acute T administration to female rats reduces hypothalamic PR mRNA and prevents an estradiol-induced rise in PR mRNA expression (252). DHT can also reduce progesterone-induced PR transcriptional activity in preovulatory gonadotropes in vitro (252, 277). Work done in breast cancer line lines, in which DHT downregulates PR expression, suggests that androgens interfere with ER complexes (278, 279). Another possibility includes epigenetic modification of the PR gene directly.
Gestational treatment with an insulin sensitizer does little to alter PCOS-like neuroendocrine and reproductive traits in PNA sheep (273), whereas postnatal treatment with an insulin sensitizer improves reproductive endocrine parameters and normalizes cycles in both female PNA NHP and sheep (280, 281). PNA NHP and humans, however, provide salient lessons against gestational intervention designed to counteract PCOS-like programming. In NHP, gestational anti-androgen therapy induces subtle cognitive dysfunction and behavioral changes in adult female offspring (282) and in humans, gestational metformin treatment of women with PCOS worsens metabolic dysfunction and weight gain in their prepubertal daughters (283). Such understanding counsels for development of novel therapies or interventions postpartum, to avoid the high risks of gestational manipulations.
Another prenatal exposure model that mirrors PCOS features was achieved by elevating dam AMH levels during late gestation (PAMH) which generates a 3-fold increase in maternal T levels (Table 1), thus closely mimicking the hyperandrogenic environment of human PCOS pregnancies (107). AMH-induced hyperandrogenism in both dams and their female fetuses is likely responsible for rewiring fetal female hypothalamic circuitry to enable excessive excitatory inputs onto GnRH neurons, leading to acquisition of hyperandrogenic PCOS-like traits in adult female offspring (Table 1). Consistent with a crucial role for PNA as a major driver of these PCOS-like traits, protracted changes in GnRH neuronal morphology (increased dendritic spine density) and increased excitatory (GABAergic) appositions onto GnRH neurons in adult PAMH offspring have been reported (107), closely mimicking the aberrant neurocircuitry of PNA mice (93, 95, 97) and further reinforcing the notion of hypothalamic GABAergic activation as a programmed driver of LH hypersecretion. Marked masculinization of the sexually dimorphic brain regions regulating reproduction are found in PAMH female offspring, including kisspeptin and tyrosine hydroxylase neurons in the AVPV, and vasopressin neurons in the bed nucleus of the stria terminalis and medial amygdala. Notably, GnRH neurons of PAMH mice have a robust 3-fold increase in their spontaneous action potential firing rate (neuronal hyperactivity), as compared with controls (107), increasing their resemblance of PNA mice (158). In addition, and closely mimicking women with PCOS, PAMH mice also exhibit a higher LH pulse frequency, reflecting their increased upstream hypothalamic GnRH neuronal firing rate. It remains to be determined, however, whether impairments are also present in the homeostatic feedback mechanism between the gonads and the central brain circuits regulating fertility in PAMH female mice, as found in PNA animal models and in women with PCOS. Interestingly, PCOS-like traits in PAMH female pups are prevented by concurrent GnRH antagonist administration to pregnant dams, indicating that PCOS-like traits in female offspring are programmed in utero by fetal and/or maternal androgen excess (107). The work of Tata and colleagues (107) thus raises the intriguing hypothesis as to whether the origin of gestational hyperandrogenism in women with PCOS resides with elevated maternal AMH levels during pregnancy, although a causal relationship between AMH and T during human gestation remains to be established.
Peripubertal and genetic models.
Female transgenic mice models with loss of AR signaling in the brain and pituitary (NeurARKO) exhibit aberrant neuroendocrine control with females displaying elevated LH levels at diestrus, a diminished serum LH response to ovariectomy and E2 priming, and reduced kisspeptin mRNA expression in the AVPV, but elevated kisspeptin and neurokinin B mRNA expression in the arcuate nucleus at proestrus (52-55, 91, 132, 162, 255-257, 284).
Hypothalamic neuroendocrine regulation of GnRH release in females, however, may be additionally susceptible to hyperandrogenic dysregulation at puberty. Peripubertal onset of T excess in female NHP induces LH hypersecretion in adulthood (110) and a transient, peripubertal acceleration in episodic LH release (111). It is unclear whether ovarian hyperandrogenism is induced by this LH excess since exogenous T treatment of the NHP is unremitting. Peripubertal DHT-exposure in mice certainly leads to increased pituitary gene expression of LH, GnRH receptors, and kisspeptin receptors (244). Despite these changes in pituitary gene expression, the circulating LH and LH/FSH ratio is unaltered in peripubertally DHT-exposed mice, suggesting that GnRH signaling is not increased in this model (96, 122, 244); however, LH pulse frequency remains to be determined. Peripubertal letrozole exposure increases circulating LH and LH pulse frequency and amplitude like in women with PCOS, together with increased Lhb expression, and decreases circulating FSH and Fshb expression in the pituitary (132, 133). Furthermore, peripubertal letrozole-exposure leads to upregulation of Kiss1r gene expression in the rostral preoptic area and Pgr expression is lower in the mediobasal hypothalamus region that includes the arcuate nucleus, and is associated with progesterone negative feedback in this model (132). In addition, elevated Kiss1, Tac2 and Pdyn gene expression, and increased Kiss1 neuronal activation, in the hypothalamic arcuate nucleus have been observed (133).
More in-depth investigations of the hypothalamic circuitry implicated in controlling female reproduction, and its regulation by mechanisms governing energy homeostasis, are urgently needed to better understand how numerous neuroendocrine functions integrate metabolic feedback in PCOS-like animal models.
Ovarian morphology, estrus cycle, and ovulatory function
Intermittent or absent ovulatory cycles are an almost universal PCOS-like trait, found in PNA, peripubertal and genetically manipulated animal models of PCOS (Tables 1-3). Notable exceptions are models of peripubertal onset DHEA excess in mice and T excess in NHP, adult-onset androgen excess in NHP and naturally occurring adult female hyperandrogenism among NHP. DHEA is a weak androgen and requires target organ enzymatic conversion to more potent androgens (285), while exhibiting specific action through a variety of nuclear and G-coupled receptors (286). Adult onset androgen excess and naturally occurring adult hyperandrogenism may reflect omission or insufficient androgen excess during relevant developmental “windows.” A predominance of intermittent or absent ovulatory cycles in PCOS-like females may thus require developmental reorganization, including structural and functional changes in hypothalamic neurocircuitry that can be therapeutically reversed in adulthood, as discussed in the neuroendocrine section above.
There are, however, 2 important caveats regarding developmental PNA programming of ovulatory function. First, in nonprimates, but not in primates, aromatizable androgen-mediated developmental reprogramming of regular ovulatory function involves eradication of hypothalamic neuroendocrine ability to generate an ovulation-inducing LH surge, whereas nonaromatizable androgen fails to do this (94, 254). In other words, PNA eradication of positive feedback in nonprimates requires the combined action of both AR and ER in the fetal female hypothalamus. Positive feedback in primates, including humans, is however unaffected by exposure to either androgen during gestation. Secondly, in NHP, unlike nonprimates, PNA and naturally hyperandrogenic PCOS-like models exhibit all 4 PCOS-like phenotypes, including ovulatory PCOS (type C). Thus, statistically significant expression of intermittent or absent ovulatory cycles, or its absence, in a PCOS-like model does not preclude a diversity of ovulatory function or lack thereof. Interestingly, PNA NHP models exhibit a majority of more severe, oligo-ovulatory PCOS-like phenotypes, emulating clinically referred women with PCOS, whereas, conversely, adult female NHP exhibiting natural hyperandrogenism manifest a majority of the milder, ovulatory PCOS-like phenotypes (37), emulating women with PCOS from unselected populations.
Large, polyfollicular ovaries are found in only early- to mid-gestation PNA NHP and sheep (Table 1), suggesting that developmental androgen-mediated reorganization is required for such morphologically-relevant ovarian enlargement and maybe unique to female hyperandrogenism in commonly mono-ovular species. In contrast, increased ovarian antral follicle count (AFC) or circulating AMH levels (as a biomarker for increased AFC), indicative of polyfollicular ovaries, but not necessarily PCOM or ovarian cysts, occurs in many PCOS-like models, including PNA NHP, sheep and rat, peripubertal onset DHT mice and T NHP, transgenic NGF/17NF mice and naturally hyperandrogenic NHP (Table 1). PNA, peripubertal, and subsequent adult female hyperandrogenism, however, may be sufficient for increased ovarian follicle recruitment into the growing pool, consistent with AR-mediated stimulation of ovarian primordial and primary preantral follicle growth (287-290).
Enlarged theca cell layer or enhanced ovarian androgenic response to human chorionic gonadotropin (hCG) challenge are demonstrated by PNA NHP (Table 1), as well as by mouse genetic models overexpressing LH-β, hCG-β and plasminogen activator inhibitor type 1 (PAI-1) (Table 3). Increased theca cell gene expression for the androgenic enzyme CYP17A1 and increased androstenedione response to theca cell LH stimulation in vitro, however, are reported for PNA sheep, but only in late gestation retrieved fetuses (291), not adults.
At the ovarian level, PNA results in polyfollicular ovarian morphology in sheep (58, 59). Detailed stereological and sonographic surveillance at multiple developmental time points in sheep have provided documentation of increased ovarian follicular recruitment/depletion and persistence (60, 61), emulating the dynamic ovarian follicle findings in women with PCOS from recent, longitudinal, ultrasonography studies (292). Sheep, like humans, are precocial with follicular differentiation completed in utero. In-depth evaluations carried out with ovaries of PNA sheep have revealed disruptions in AR/ER ratios (62), growth factor expression such as activin and follistatin (58), and insulin receptor signaling (293), AMH expression levels (63), apoptotic factors (294), steroidogenesis (64), angiogenesis (295), and cell-specific changes in epigenetic modifying enzymes (296).
PAMH mouse female offspring exhibit delayed onset of puberty and severely disrupted estrous cyclicity (oligo-anovulation) and impaired fertility in adulthood (107). Consistent with the anovulatory phenotype, prenatal treatment with AMH results in a polyfollicular ovary (107, 131), characterized by diminished postovulation corpora lutea. This polyfollicular phenotype is likely the consequence of arrested antral follicular development as suggested by observations that prenatal AMH treatment lowers the percentage of late antral follicles in the ovaries of adult offspring. While the ovaries of PNA mice are not polyfollicular, developing follicles display reduced granulosa cell layer thickness and increased theca cell layer thickness. Consistent with their severely impaired estrous cyclicity, PNA mice have significantly fewer preovulatory follicles and few to no corpora lutea (97).
Peripubertal and genetic models.
Postnatal exposure of female mice and rats to DHT from 3 weeks of age for 3 months leads to the development of ovulatory dysfunction as ovaries lack or show few corpora lutea (96, 115, 122, 124). Peripubertal onset T in female NHP supplemented with a high fat diet (T+DIO), however, does lead to luteal insufficiency (112), suggesting impaired dominant follicle maturation prior to ovulation and a potential for subsequent cycle disruption. These changes are associated with diminished ovarian vascular perfusion likely compromising function of both the preovulatory dominant follicle and the subsequent corpus luteum (110). Histologically, ovaries display the classic polycystic appearance with numerous atretic cyst-like follicles present, but opposite to what is seen with women with PCOS, ovarian weight is unaltered or decreased (96, 115, 122, 124, 244). Additional ovarian PCOS-associated features include an increase in the proportion of morphologically unhealthy follicles, and within large antral follicles a reduction in granulosa cell-layer thickness, but an increase in theca cell-layer area, presumably a consequence of the reduction in corpora lutea populations (96, 115, 122, 124).
Letrozole exposure prepubertally in mice and rats for 3 months leads to the formation of ovarian cysts, thickening of the theca cell layer and a thin granulosa cell layer. This is accompanied by an increased ovarian weight and complete disruption of estrous cyclicity with a constant pseudodiestrus and few or no corpora lutea in the ovaries (119, 120, 123, 132, 134, 228).
Ovaries from transgenic mice overexpressing NGF in thecal-interstitial cells produce more NGF than wild-type ovaries and are hyperinnervated by sympathetic nerves. Adult mice overexpressing NGF display ovulatory dysfunction, with more time spent in estrus and less time spent in diestrus. The ovarian morphology is characterized by granulosa cell apoptosis, arrested antral follicle growth, and an increased number of antral follicles, many of which are atretic (137, 138, 297)
Ovarian steroidogenesis
Prenatal models.
Functional ovarian hyperandrogenism has only been identified in PNA NHP from intramuscular injection of recombinant hCG during the follicular phase or anovulatory period resulting in an LH-receptor–mediated elevated increase in T (298). Baseline circulating levels of T, however, are elevated in PNA NHP, sheep, and mice, as well as in PAMH mice (Table 1), and estradiol levels can diminish in the late reproductive years of PNA NHP (299). Hyperandrogenism in PNA sheep is sufficiently manifest as to induce hirsutism (65), an aspect not yet addressed in other PCOS models. In addition, PNA NHP exhibit adrenal androgen excess (298, 300), emulating that found in women with PCOS (301).
Peripubertal and genetic models.
Consistent with anovulation, circulating progesterone and estradiol levels in adulthood are significantly reduced in postnatal DHT-induced PCOS-like mice (96, 244), while T can be decreased, likely due to negative feedback from estrogenic metabolites of DHT (96, 302). Furthermore, androgen exposure in this model intrinsically disrupts ovarian steroidogenesis. After isolation of antral follicles and 5 day in vitro culture DHT-exposed follicles secreted elevated levels of progesterone (125) In the ovary, DHT exposure increases CYP17A1 and HSD3B2 expression and decreases CYP19A1 expression. This may further enhance androgen production and lead to less androgen being converted to estrogen by aromatase, but it is not known which cell type contributes to the difference in gene expression (244). In isolated follicles from DHT-exposed mice, gene expression for the steroidogenic enzymes Cyp11a1 and Cyp17a1 is upregulated and downregulated, respectively (125). Interestingly, NGF overexpression in mouse granulosa cells causes increased circulating T, progesterone and estradiol levels in adulthood (138, 297), suggesting that upregulation of one or more ovarian growth factors may contribute to PCOS-like ovarian hyperandrogenism. The increased steroid production is associated with increased expression of Hsd17b, Cyp17a1, and Cyp19a1, which enhance steroidogenesis (297).
Oocyte and fertility
Impaired oocyte quality is inconsistent among women with PCOS, likely due to variations in specific PCOS phenotype and associated comorbidities observed between PCOS patients which differentially alter oocyte quality (303). Women with classic PCOS are most likely to exhibit abnormal intrafollicular environments and impaired oocyte development (304), possibly related to androgen and insulin excess or other metabolic disruptors. This is important, as hyperandrogenic follicles of classic PCOS women undergoing ovarian stimulation for in vitro fertilization (IVF) (305) contain morphologically normal MII oocytes with abnormal gene expression (192). These genes often contain promoter sequences with putative binding sites for AR and peroxisome proliferating receptor gamma, which link androgen excess with insulin resistance during oocyte development. With androgen and insulin levels in the follicles of patients with IVF determined by PCOS and BMI, respectively (305, 306), normal-appearing embryo transfers from obese patients with PCOS have a high miscarriage rate after transfer into a surrogate uterus of a woman without PCOS (307). On the other hand, oocytes from nonobese IVF patients with PCOS by Rotterdam criteria are smaller and less likely to mature than oocytes from nonobese IVF patients with male factor infertility, despite similar clinical pregnancy and live-birth rates/cycle in the 2 female groups (308). Given the necessary ethical constraints on manipulating human oocytes, PCOS-like animal models provide unique opportunities to explore the underlying mechanisms governing oocyte developmental competence.
Prenatal models.
Subfertility exists in early- to mid-gestation PNA NHP, sheep, and mice, as well as PAMH mice (Table 1). In PNA sheep, increased recruitment of primordial follicles and increased size of oocytes within them (59), suggest that altered preantral granulosa cell-oocyte signaling may contribute to diminished oocyte quality at the very onset of follicle growth and oocyte development within growing follicles. This is reflected as reduced breeding success in PNA sheep (66). In PNA NHP undergoing ovarian stimulation for IVF, morphologically normal MII oocytes and their fertilization rates are comparable to age- and BMI-matched controls (168), but oocyte developmental competency is diminished, particularly in early- to mid-PNA NHP (see “Preimplantation embryo” below). It is unknown whether dysfunctional ovarian follicle development in PAMH mice contributes to infertility through diminished oocyte quality.
Peripubertal and genetic models.
Culture of isolated preantral and antral follicles from DHT-exposed PCOS mice results in slower growth rates and reduced follicle health and survival rates compared with controls (125). In contrast, preovulatory follicles from DHT-exposed mice exhibit a significant increase in growth rate, but also with reduced health and survival rates. The impaired oocyte function in DHT-exposed mice is also evident by increased levels of reactive oxygen species, a poorer response to hyperstimulation, and a reduction in on-time embryo development (125). Comparable fertility deficits appear in peripubertal T-onset NHP with delays in first age to conceive and diminished quality of oocytes obtained following ovarian stimulation for IVF (110).
Transgenic NGF mice exhibit delayed puberty as assessed by a delayed vaginal opening and delayed first estrus. They also exhibit reduced fertility, as assessed by a prolonged interval between litters, a reduction in the number of litters born, and a reduced number of pups per litter (137). Other genetically modified models such as Lhb, hCGb subunit and prohibitin overexpressing, and IR/LepRPOMC knockout mice, also exhibit decreased fertility or fecundity (Supplementary Table 1a) (36).
Adult and naturally hyperandrogenic models.
T administration to adult female NHP increases the number of primary, growing preantral and small antral follicles and the proliferation of granulosa cells within them (288, 290). Androgen treatment in such monkeys upregulates mRNA expression of FSH receptor, IGF1 receptor, and IGF1 in granulosa cells (287, 289), and enhances IGF1 and IGF1 receptor mRNA expression in primordial follicle oocytes (309). The ability of such T-exposed oocytes to mature and acquire developmental competence following ovulation is unknown. But given the findings from peripubertal T-onset NHP models, above, it is likely that such qualities are compromised. Such diminished oocyte quality is further supported by naturally hyperandrogenic female NHP with the highest circulating T levels being subfertile, although it is unclear whether this is an issue of impaired oocyte quality or altered endometrial development (37).
Preimplantation embryo
Prenatal models.
Successful oocytes in PNA NHP only develop to blastocyst after IVF when they originate from dominant follicles exhibiting follicular fluid levels of estradiol relative to the progesterone-to-estradiol ratio within the 95% confidence interval for the relationship in control females (42). The percentage of successful oocytes obtained from early- to mid-gestation PNA NHP, however, was < 20%, suggesting considerable impairment of developmental competency and diminished embryonic genome activation at the 5- to 8-cell stage (168). Thus, within a PCOS-like NHP ovary, there is considerable variation in compromised follicle function such that some follicles appear functionally normal and will yield successful oocytes. Although oocyte quality has not been examined in PNA sheep, reduced fertility in mating studies are suggestive of compromised oocyte quality in this model as well (66). Together, these findings may provide one explanation for the inconsistency in oocyte quality found in women with PCOS.
Peripubertal and genetic models.
Oocytes from peripubertal DHT-exposed mice appear morphologically normal after collection following ovarian stimulation and IVF (125). Hyperandrogenism, however, leads to aberrant embryo development as fertilization rates are decreased after IVF and a reduction in on-time embryo development is observed compared to oocytes collected from control females (125). Peripubertal T onset in female NHP results in poor embryo quality from oocytes obtained following ovarian stimulation for IVF in comparison to controls (110). Fertilized oocytes exhibit poor rates of progression to morula and blastocyst stages. Mild uterine endometrial progesterone resistance may also contribute to pregnancy delay and pregnancy loss, particularly when peripubertal T onset monkeys are supplemented with high-fat Western-style diet (T+DIO) (110).
Pregnancy
PNA and PAMH models.
Pregnant women with PCOS are at increased risk for various pregnancy complications, including gestational diabetes and life-threatening pre-eclampsia (210-212). Their placentae exhibit structural and molecular dysfunction (213, 310, 311), including increased signal transducers and activators of transcription 3 (STAT3) phosphorylation, indicating that specific metabolic pathways are activated by increased maternal androgen concentrations (215). Diminished placental expression of aromatase (CYP19A1) and HSD3B1 likely impairs its ability to metabolize androgens (216). Not surprisingly, therefore, maternal and fetal environments of all PNA and PAMH animal models are compromised. Pathophysiological and morphological insults vary, however, depending on species and when during gestation T or DHT exposure occurs (Tables 1-2), and are more pronounced in early- to mid-gestation PNA NHP models, at least when maternal BMI is higher before conception (312). For one example, the hyperandrogenic maternal environment of early- to mid-gestation PNA female Suffolk sheep manifests progesterone insufficiency, together with hyperinsulinemia and decreased circulating levels of medium chain acylcarnitine (67). The latter finding suggests some maternal counter-adjustment to metabolic compromise, since elevated acylcarnitines commonly accompany metabolically compromised pregnancies in humans (313). Not surprisingly, placental efficiency in PNA sheep is reduced (68) and early placental defects are evident by 65 days of gestation in a 147-day pregnancy, including increased placental accumulation of lipid and collagen together with female fetus-specific disruptions in proinflammatory markers and hypoxia inducible factor 1 (69).
Analogous placental compromise is found in the PAMH mouse model. Dam AMH treatment during late gestation likely acts through placental AMHR2 (314) to inhibit placental expression of CYP19A1 and HSD3B1, exaggerating maternal increases in T bioavailability and decreasing circulating estradiol and progesterone levels. In line with these observations, dams of PNA rats develop increased STAT3 protein signaling in the placenta, likely diminishing placental amino acid transport and enabling fetal growth restriction (86). PAMH fetuses certainly experience a higher incidence of abortion. Maternal progesterone and estradiol levels in dams of PNA NHP, in contrast, are not perturbed by maternal hyperandrogenism; transient maternal postprandial hyperglycemia, however, accompanies excessive mid-gestation weight gain (312). PNA/PAMH promise to be excellent models in which to investigate androgen-induced placental dysfunction, including placental cell-specific expression of GFP, as already utilized when investigating neuroendocrine function (263, 264).
Fetal female endocrine environments in early- to mid-gestation PNA NHP and sheep, as well as PNA and PAMH mice, are hyperandrogenic (T levels are typical of male fetuses), but only those in PNA sheep (67, 70) and PAMH mice exhibit additional estrogenic perturbations. The more robust NHP placenta with its greater aromatase expression may better equip it to endure maternal hyperandrogenism and accompanying metabolic sequelae (41). In addition, fetal female early- to mid-gestation PNA NHP and sheep experience hyperglycemia combined with hypolipidemia, and yet this environment accompanies components of fetal growth restriction in PNA sheep (71) compared to normal or increased fetal growth in PNA NHP (312). Like PNA sheep (68), PNA mice and rats have decreased placenta and fetal weight (99, 315), together with fetal growth restriction (86). Dam hyperandrogenemia thus not only provides fetal androgenic endocrine disruption, but also perturbs nutrient provision across a compromised placenta.
As pregnant women with PCOS are often obese, 2 mouse (and 2 NHP, see below) models were combined: maternal DIO and PNA (99, 100). These DIO PNA mice develop maternal and fetal liver dysfunction with high triglyceride content and altered expression of transcription factors and enzymes involved in de novo lipogenesis and fat storage (99). PNA, but not maternal DIO fetuses, have a higher male, but not female, fetus/placenta weight ratio. Furthermore, total and phosphorylated proteomic analyses of placenta and fetal liver of DIO and/or PNA female mice identified a novel target, the phosphorylation of catechol-O-methyltransferase (COMT) (100). Maternal obesity apparently increases the activation of catecholamine metabolism whereas maternal androgen exposure decreases it.
Peripubertal models.
Peripubertal T onset in female NHP models compromises their subsequent pregnancies, particularly when supplemented with a peripubertal Western-style diet-induced obesity, T+DIO (Table 2). While fecundity was 100% in control and T-treated female groups, it fell to < 50% in T+DIO females (110), but there were no accompanying significant increases in gestational weight gain in either T-treated group. Placental blood flow was reduced in T-treated females, yet surprisingly, both fetal weight and abdominal circumference were greater relative to maternal weight in T+DIO females. Interestingly in this regard, T+DIO females exhibited gestational hyperinsulinemia and hyperglycemia as a result of gestational insulin resistance. Circulating lipids, nevertheless, were normal in both T-treated groups, except for elevated HDL levels (110). Circulating estradiol and androstenedione levels increased late in gestation in T+DIO females, while progesterone levels were unremarkable in T-treated groups. Thus, similar to T-treated dams of PNA female NHP, when peripubertal-onset T-treated females become pregnant, their female offspring are exposed to compromised placental function (but without the accompanying reductions in estradiol and progesterone found in nonprimates) and dysfunctional maternal glucoregulation and lipids. Not surprisingly, female offspring of T-treated dams show signs of increased fetal growth and adiposity in late gestation, again resembling PNA female NHP fetal and infant findings, but contrasting with those from PNA female nonprimates.
Metabolic Dysfunction
Independent of body weight and fat mass, women with PCOS are more likely to be insulin resistant and to have compensatory hyperinsulinemia, placing them at an increased risk of impaired glucose tolerance and T2D (3, 316). Women with PCOS also have dyslipidemia, abdominal obesity, and altered adipose tissue morphology and function (3). Additionally, women with PCOS may also have pancreatic β-cell defects since their insulin secretion does not change proportionally in response to glucose (317).
Insulin resistance in women with PCOS is still not completely understood. Obesity is the most common cause of insulin resistance, and the prevalence rates of PCOS diagnosis increases with obesity (15, 169). However, as discussed above, insulin resistance in women with PCOS occurs independently of obesity, as previously reviewed (3, 169, 316).
Another factor linked to metabolic dysfunction is nonalcoholic fatty liver disease (NAFLD) and clinical studies and meta-analyzes indicate higher prevalence of NAFLD and nonalcoholic steatohepatitis (NASH) in women with PCOS (318-321). There seems to be an interplay between insulin resistance, hyperandrogenism, increased abdominal fat, and NAFLD and NASH in women with PCOS, but the mechanisms are largely unknown.
Metabolic neural regulation
PNA models.
Both the ventromedial nucleus and the arcuate nucleus within the mediobasal hypothalamus play crucial roles in the neural regulation of metabolic function. In female rodents, estrogen signaling via ESR1 in the ventromedial nucleus regulates thermogenesis and locomotory activity, and thus adiposity, involving leptin responsive neurons expressing steroid factor-1 (SF1) (322). In the arcuate nucleus, in contrast, ESR-1–mediated signaling regulates calorie intake, and thus appetite, involving POMC and agouti-related peptide (AgRP), expressing neurons. AgRP neurons co-localize another orexigenic peptide, neuropeptide Y (NPY), whereas POMC neurons co-localize the anorexigenic peptide, cocaine and amphetamine-regulated transcript (CART). AgRP ⁄ NPY and POMC ⁄ CART neurons have also been shown to express receptors for both insulin and leptin (322), and interestingly, most AgRP ⁄ NPY and POMC ⁄ CART neurons in the arcuate nucleus express AR (323). At least in female rodents, T- or DHT-mediated hypothalamic AR action diminishes ESR1-mediated signaling. The potential for developmental hypothalamic programming of metabolic regulation was realized in PNA sheep when Lehman and colleagues demonstrated increased numbers of arcuate nucleus AgRP ⁄ NPY neurons, suggesting a possible substrate through which T may directly influence energy balance at the level of the hypothalamus in these PCOS-like PNA ewes (323). Since co-treatment with the AR antagonist flutamide blocks T- or DHT-mediated increase in number of AgRP-immunoreactive neurons, PNA may predominantly exert its action on AgRP neurons through AR rather than ER.
In the PNA mouse model, NPY and beta-endorphin (POMC) neuron cell numbers in the arcuate nucleus are not different (261). In addition to their well-known role in promoting food intake, NPY neurons in the arcuate nucleus are also implicated in coordinating energy homeostasis with fertility by responding to peripheral metabolic cues and signaling within the GnRH neuronal network (324). Optogenetic and chemogenetic activation of arcuate nucleus NPY neurons reduces pulsatile LH secretion in both PNA mice and healthy controls (325), through a mechanism that likely involves kisspeptin neurons (326). Whether hypersecretion of LH is linked to impaired NPY signaling within the GnRH neuronal network remains to be determined, but this work highlights activation of NPY as a potential mechanism for slowing the hyperactive GnRH/LH axis.
Insulin resistance, compromised glucose homeostasis, and pancreatic β-cell dysfunction
PNA and PAMH models.
Metabolic perturbations in PNA sheep include systemic increases in peripheral insulin resistance, resulting in postnatal compensatory hyperinsulinemia in gestation days 30-90 and 60-90 PNA Suffolk sheep (72) and postnatal dyslipidemia in gestation days 30-90 PNA sheep (73, 74). Metabolic defects in gestation 30-90 day PNA sheep include tissue-specific changes in insulin resistance with liver and muscle being insulin-resistant (327), reduced adipogenesis and increased proportion of small adipocytes (73, 328), and compromised fetal pancreatic differentiation (75). Comparable glucoregulatory pathophysiology is also found in early- to mid-gestation PNA NHP, with dysregulation detectable during infancy (312, 329). Specific changes in insulin-target tissues in PNA sheep include increased lipid accumulation in liver and muscle, an increase in nitrotyrosine (an oxidative stress marker in liver and visceral adipose tissue) (74), and disrupted intracrine steroid balance in visceral adipocytes (330). Lipid accumulation in the liver is suggestive of NAFLD-like hepatic phenotype, while the increased distribution of small adipocytes is similar to that observed in early- to mid-gestation PNA NHP (331) and lean PCOS subjects (220, 331).
In concert, these studies provide a possible linkage for tissue-specific defects contributing to PCOS-like metabolic phenotype, including hyperandrogenism-mediated, adipogenic constraint (331), that likely promotes insulin resistance and pancreatic β-cell defects through lipotoxicity (221). Specifically, androgen inhibits early-stage human subcutaneous (SC) abdominal adipogenesis in vitro(332). A similar event in vivo could therefore constrain SC fat storage to promote insulin resistance through lipotoxicity from ectopic lipid accumulation in nonadipose tissues (332). This mechanism agrees with findings in normal-weight PCOS patients of altered SC abdominal adipocyte stem cell gene expression of adipogenic/angiogenic functions involving T through TGF-β signaling (221), as well as in infant and adult visceral adipose tissue from early- to mid-gestation PNA NHP of differentially methylated genes involving TGF-β signaling (333), supporting a role for epigenomic programming in the etiology of PCOS.
PNA mice present a mild metabolic phenotype, including increased fasting glucose level and impaired glucose tolerance but normal insulin sensitivity, and an early form of islet dysfunction in the pancreas (96, 101). Furthermore, the PNA mouse model also displays hepatic steatosis with increased hepatic triglyceride and lipid content, and dysregulated expression of enzymes involved in lipogenesis (99, 102). These aberrant metabolic findings are present despite a lack of change in glucose metabolism. When combining the PNA model with maternal DIO, it becomes evident that the metabolic phenotype is largely due to PNA exposure and, to a lesser extent, maternal DIO (102).
PNA rat offspring, on the other hand, are insulin-resistant as measured with the highly sensitive euglycemic hyperinsulinemic clamp method (87). Decreased insulin sensitivity was prevented when flutamide or tamoxifen was administered simultaneously with prenatal T, indicating that both AR and ER are involved in the mechanism regulating whole-body glucose homeostasis (87). Of note, the dose of T and timing of administration are key factors. When a 10-times higher dose of T was given to pregnant dams, offspring did not develop insulin resistance (315), but they did develop lipid disturbances and hepatic steatosis (315).
Peripubertal and genetic models.
Peripubertal DHT-induced PCOS female rats and mice exhibit elevated fasting blood glucose levels (116, 124, 125), decreased glucose tolerance (116, 244), and development of insulin resistance at adult age as measured by euglycemic hyperinsulinemic clamp, oral glucose tolerance test, and insulin tolerance test (96, 115, 122-125, 244). In line with increased fasting plasma insulin levels, insulin expression tends to be increased in pancreatic β-cells from adult DHT-exposed mice, and in combination with decreased expression of Glut2, this may be an early indicator of β-cell dysfunction (244). In an initial effort to dissect out the key sites of AR action, one study assessed fasting glucose levels in a DHT-induced PCOS model combined with global ARKO mice, or mice lacking AR in the brain and/or granulosa cells. Apart from the global AR knockout mouse, however, no other model has so far been able to protect against the development of increased fasting glucose levels (Supplementary Table 2) (36). Further investigations are required to elucidate the mechanisms driving insulin resistance in PCOS, including the role of AR actions in skeletal muscle, liver, and adipocytes, as well as the interplay of diet (334). For example, in a recent study combining the adult DHT-induced model in pancreatic β-cell specific (βARKORIP) and neuron specific (nARKO) models together with a Western diet (DIO) as a metabolic stress, it was shown that DHT exposure predisposes to T2D via activation of hypothalamic AR causing hepatic insulin resistance, and activation of pancreatic β-cell AR leading to increased insulin secretion and β-cell failure (130).
Adiponectin-overexpressing mice are protected against peripubertal onset DHT-induced insulin resistance and glucose intolerance, supporting the idea that adiponectin plays a crucial role in whole-body glucose homeostasis in PCOS (244). Continuous DHT exposure, however, does not increase pancreas β-cell insulin expression in mice overexpressing adiponectin (244). In adult mice, continuous DHT exposure initiated in adulthood drives metabolic dysfunction and causes hepatocyte insulin resistance by increasing gluconeogenesis via transcriptional regulation of gluconeogenic coactivators and enzymes (128). Administration of flutamide reverses DHT-induced hepatocyte insulin resistance, supporting an AR-driven mechanism (128).
Peripubertal letrozole-induced PCOS rats and mice also have increased fasting glucose and insulin levels and develop insulin resistance in adulthood as measured by insulin tolerance test and euglycemic hyperinsulinemic clamp (119, 120, 123, 132, 134, 135, 228). In contrast to elevated fasting insulin levels, peripubertal letrozole-induced PCOS mice display a blunted response to glucose-stimulated insulin release, suggesting β-cell dysfunction (135).
Ovarian NGF overexpression leads to hyperinsulinemia and insulin resistance, but with a preserved hepatic insulin sensitivity and normal glucose production (138). Sympathetic overactivity has adverse effects on glucose homeostasis with impaired glucose tolerance in NGF overexpressing mice (138).
Body composition and adipose tissue function and whole-body metabolism
PNA and PAMH models.
PNA models, except for NHP, have low birthweights. At weaning, nevertheless, PNA sheep, together with PNA and PAMH mice, display normal body weight, while PNA rat offspring weigh more than controls, with no difference in weight at adult age, indicating that PNA sheep and rat manifest postnatal catch-up growth (10, 76, 87, 102, 107). In analogous fashion to postnatal catch-up growth, early- to mid-gestation PNA NHP exhibit increased postnatal weight gain despite a normal birthweight (312), possibly mimicking an altered developmental trajectory that is associated with increased risk for PCOS in humans (335). When adult, early- to mid-gestation PNA NHP exhibit increased intra-abdominal visceral adiposity, hyperlipidemia, relative increases in small adipocytes (constrained adipogenesis) in subcutaneous adipose, and visceral adiposity positively correlated with basal insulin levels (280, 331, 336), while late gestation PNA NHP in adulthood demonstrate increased whole body adiposity in the absence of insulin resistance (337). In addition, early- to mid-gestation PNA NHP adults exhibit increased subcutaneous abdominal adipose Zfp423 gene expression, but decreased C/EBPalpha expression, suggesting PNA-driven organizational increases in commitment of adipogenic stem cells to preadipocytes together with their subsequent diminished progression to mature adipocytes, thus constraining safe lipid storage with increasing BMI (331). Such a mechanism could result in early- to mid-gestation PNA NHP hyperlipidemia-induced increases in visceral fat accumulation, insulin resistance and pancreatic β-cell failure, culminating in increased T2D (331), and all would be consistent with an accompanying positive correlation between visceral fat and basal insulin levels (337).
Conflicting data exist whether PNA mice have more body fat with one study demonstrating more fat mass (measured with EchoMRI) and enlarged adipocytes (101), whereas another study found no difference in fat mass and adipocyte size (102). Furthermore, markers involved in adipogenesis, such as ZfP423, Cebpa, and Cebpb, have been found to be differently expressed, suggesting that PNA mice can be used to investigate adipose tissue function reflecting daughters of women with PCOS.
Using indirect calorimetry for metabolic phenotyping, PNA mice demonstrate reduced energy expenditure and lower respiratory exchange ratio, likely reflecting preferential fatty acid instead of carbohydrate consumption, and likely also reflect their increased fat mass.
Peripubertal and genetic models.
NHP exposed to peripubertal T onset, and supplemented with a high fat diet (T + DIO), partially emulate the metabolic outcomes of early- to mid-gestation PNA NHP. Peripubertal onset T + DIO NHP demonstrate increased abdominal “android” fat and abdominal circumference indicative of increased visceral adiposity (110). Diminished basal lipolysis in both subcutaneous and visceral abdominal fat depots co-occurs with augmented insulin-mediated FFA uptake into visceral adipocytes, alone, contributing to enlarged visceral, but not subcutaneous, adipocytes (113). Since adrenergic (sympathetic nervous system noradrenalin) stimulation of lipolysis is also diminished, but only in subcutaneous adipocytes, unaffected adrenergic stimulation of lipolysis in enlarged visceral adipocytes likely contributes to increased lipid release into the liver, with subsequent adiposity-associated insulin resistance and compensatory hyperinsulinemia (113). T + DIO NHP thus demonstrate the need for the onset of both T and DIO during adolescence to evoke an equivalent of the metabolic derangements engaged by early- to mid-gestation PNA, alone (Tables 1 and 2). Peripubertal T onset without DIO does not induce metabolic dysfunction and weight gain in female NHP (110, 113). Taken together, these peripubertal T findings in female NHP may provide support for early clinical intervention with young women with PCOS: prevent or counteract diet-enabled weight gain, and any remaining hyperandrogenism may pose little metabolic risk.
The peripubertal DHT-induced PCOS mouse model has a higher body weight, percentage body fat and lean body mass, but a decrease in bone mineral density (96). Adipocyte size is increased while adipocyte function is defective, as reflected by decreased circulating adiponectin levels (124, 244). Furthermore, DHT-exposed adipose tissue shows decreased expression of genes involved in metabolic pathways such as adiponectin receptor, insulin receptor, Ppar gamma, and Chrebp in the DHT-exposed mice (244). There are, however, no alterations in these parameters in adiponectin-overexpressing mice exposed to DHT and in mice with a brain-specific loss of AR. Adiponectin transgenic mice appear to be protected against DHT-induced adipocyte hypertrophy by virtue of smaller adipocytes (124, 244).
Peripubertal letrozole-induced mice or rat models have higher body weight, lean mass, and fat mass, with a pronounced increase in subcutaneous obesity in rats, and also increased visceral fat in letrozole-exposed mice (119, 120, 132, 134, 228). The increased fat mass in letrozole-exposed rats and mice is accompanied by enlarged adipocytes in both the visceral and subcutaneous fat depots (120, 134). Circulating levels of adiponectin are decreased, while leptin and serum triglycerides are elevated (135, 228). These findings, combined with an upregulation of several genes involved in regulating whole-body insulin sensitivity and lipogenesis in subcutaneous fat in letrozole-treated rats, along with increased expression levels of several inflammatory factors and cytokines in letrozole-treated mice, indicate an adipose tissue dysfunction in the letrozole-exposed PCOS model (132, 228). Furthermore, letrozole treatment is associated with dyslipidemia, including elevated total cholesterol, triglycerides, and free fatty acids (135). Indirect calorimetry of the peripubertal letrozole-induced PCOS model revealed no significant difference for food intake, day and night oxygen consumption, carbon dioxide expulsion, and respiratory quotient (120, 228). Nighttime locomotor activity was decreased in the letrozole model (rodents are nocturnally active) (135). The variable metabolic phenotypes observed with peripubertal DHT and letrozole-induced PCOS-like animal models compared with PNA emphasize the need to recognize contributions from activational signals that occur throughout postnatal life (ie, pubertal events, dietary choices, stress, and exposure to environmental chemicals), and that these play crucial roles in inducing pathophysiology, modifying the expression of any programmed (ie, re-organized) phenotype, and/or amplifying the severity of phenotypic expression.
Overexpression of NGF in the ovary results in increased body weight at 5 weeks of age and onwards, accompanied by increased fat mass with a higher visceral fat distribution (138). Analysis of body composition also shows an increase in lean mass and bone mineral content and density (138).
Cardiac Dysfunction
All factors listed above are linked to cardiovascular disease and studies have demonstrated that women with PCOS can have increased left ventricular mass (338, 339), endothelial dysfunction (339), arterial stiffness (340), and coagulation and fibrinolytic disturbances (341), all surrogate markers of cardiovascular disease. Despite these dysfunctions, there are limited data demonstrating whether women with PCOS are at an increased risk of cardiovascular disease events and the underlying pathophysiology is largely unknown (342, 343).
PNA and peripubertal models
Telemetry studies carried out in Suffolk sheep found PNA from days 30 to 90 of gestation leads to hypertension (77), adverse left ventricular remodeling that includes increased expression of genes and proteins involved in left ventricular hypertrophy and stress, together with histological evidence of focal myocardial disarray and an increase in cardiomyocyte size (78).
In adult PNA mice, despite cardiac hypertrophy, there is no difference in heart rate or blood pressure (102). The expression of genes involved in cardiac hypertrophy is upregulated in the adult PNA offspring, while neonatal PNA hearts display an upregulation of transcription factors involved in cardiac hypertrophic remodeling and of genes related to calcium signaling and oxidative stress (102). Also, peripubertal DHT exposure in mice leads to adverse left ventricular remodeling, and increased vasocontractile responses (102), as well as an increase in systolic blood pressure (124). Peripubertal DHT–exposed rats also have endothelial dysfunction assessed by vasodilatory response of preconstructed arteries to acetylcholine, even when controlling for increased body weight/fat by pair feeding (344). Simultaneous administration of flutamide from peripuberty (102), or treatment with flutamide or metformin in adulthood after developing the PCOS phenotype, partly reversed these effects demonstrating the involvement of AR (102, 344). Altogether, these observations point towards an androgenic mechanism that is independent from age at administration, although peripubertal onset DHT and letrozole PCOS-like models, with continuous treatment through puberty and adulthood, can result in distinct phenotypes that are not observed in PNA offspring and vice versa.
Behavior
Women with PCOS are at an increased risk for a wide range of psychiatric disorders (345). The most prevalent symptoms in women with PCOS are depression and anxiety independent of obesity (346, 347). Despite the high prevalence, the cause of depressive and anxiety symptoms is not fully elucidated (347). Clinical signs of hyperandrogenism including acne and hirsutism, as well as infertility and high BMI, have been linked to symptoms of anxiety and depression (347). Recent studies highlight the role of the prenatal period in the etiology of neuropsychiatric disorders in children (217, 345, 348-350). Women with PCOS have elevated maternal androgens and thereby increase the potential risk of exposing the developing fetus to androgens. These findings need further mechanistic studies.
PNA models
Suffolk PNA sheep manifest behavioural changes such as male-typical courting and mating behaviours consistent with defeminisation/masculinization (79) leading to increase in mounting behavior (79, 80). PNA NHP exhibit comparable alterations to female behavior prepubertally and in adulthood (351), and in NHP, such PNA re-organization of behavior is AR- and not ER-mediated (352). Using the PNA model with T exposure in rats, increased anxiety-like behavior could be prevented by simultaneous treatment with flutamide and partly also by tamoxifen, implicating that AR, and partly ER, mediate alterations in behavior (87). The anxiety-like behavior coincides with changes in gene expression involving steroid receptors in key brain areas, in particular the amygdala (87). AR expression is decreased in the amygdala, suggestive of a downregulation of androgen signaling, while the serotonin 2c and GABAA receptors are elevated in PNA females of PCOS-like dams. These data highlight the amygdala as a potentially important site for developmental changes that lead to long-term behavioral consequences downstream from PNA exposure and PCOS-like development.
Studies implicating subtle cognitive impairments in women with PCOS (353, 354) have implicated hyperandrogenism and metabolic dysfunction, respectively, as causal mechanisms. In addition, recent findings in mice have functionally associated hippocampal expression of both AMH and AMHR2 with neuronal function essential for memory acquisition, retention, and recall in both males and females, with greater hippocampal AMH expression in females (355). Given that gene variants of AMH and AMHR2 with diminished bioactivity have recently been associated with ~3% of familial PCOS (5, 6), that neuronal AMH and AMHR2 expression have been associated with embryonic neuronal differentiation in both humans and mice (106), and that PAMH female mice exhibit many PCOS-like traits (197), altered AMH signaling may also contribute to cognitive differences in women with PCOS. Animal models expressing altered AMH or AMHR2 expression, including genetically manipulated and PAMH mice, together with naturally occurring PCOS-like NHP, potentially promise valuable mechanistic insights.
As obesity is a common comorbidity in women with PCOS, the PNA mouse model, with DHT exposure to specifically target the AR receptor, was combined with maternal DIO to investigate the impact of these 2 factors. Independent of diet, female PNA-exposed offspring develop an anxiety-like behaviour, whereas male offspring from only obese dams also develop an anxiety-like behavior. Differential expression of genes demonstrates that female anxiety-like behavior is linked to upregulation of adrenergic receptor α1b in the amygdala and corticotrophin releasing hormone receptor 2 in the hypothalamus (103), supporting the finding of altered placenta COMT expression (100). Males, on the other hand, display upregulation of genes linked to epigenetic mechanisms in amygdala and corticotrophin-releasing hormone in hypothalamus (103). Taken together, these findings demonstrate sexually dimorphic effects of PNA and maternal DIO on behavior function and gene expression in key brain regions in exposed offspring.
Transgenerational Perspectives of Androgen Exposure
Pregnant women with PCOS provide the ideal opportunity to investigate the impact of PNA exposure on their female offspring since it has recently been demonstrated that daughters of women with PCOS are at increased risk of developing the diagnosis of PCOS (10). While there is, however, no safe and ethical way to accomplish this, PNA and PAMH animal models provide translatable alternatives. PNA and PAMH mouse models with or without DIO to mimic a key maternal PCOS condition (99, 100) provide key models to investigate transgenerational effects, and whether exposed lineages have increased susceptibility to a PCOS-like reproductive and metabolic phenotype in F1 to F3 offspring. These studies are analogous to those mimicking maternal metabolic syndrome in mice and the transgenerational transmission of metabolic and mitochondrial dysfunction in F1 to F3 offspring (356).
Recently, for the first time, it was demonstrated that PNA mice derived from F0 dams exposed to DHT during late pregnancy, but not maternal DIO, display both reproductive and metabolic PCOS-like phenotypes which are transmitted across generations, that is, transgenerational transmission (10). More specifically, the PNA but not DIO lineage, exhibits longer anogenital distance, irregular cycles, increased fat mass, enlarged adipocytes, and liver triglyceride content, as well as lower respiratory exchange ratio and energy expenditure. PNA lineage female mice may therefore demonstrate constrained switching between lipids and other carbon sources for energy metabolism during fasting, emulating a degree of metabolic inflexibility found in women with PCOS (357). These data show that PCOS-like phenotypic changes are transgenerationally transmitted, F1 to F3, whereas only F1 female offspring from DIO-exposed F0 dams develop a metabolic phenotype, with only minor metabolic consequences in F2 and F3 female offspring.
Of note is that the combination of PNA + DIO in F0 females result in severely compromised fetal development of second generation (F2) offspring. To investigate why the combined PNA + DIO lineage delivers only 1 F2 female offspring, litter size and fetal growth were measured at embryonic day (E)12.5 and E18.5 in a second transgenerational experiment. Fewer and smaller F2 embryos at E12.5 were found in the PNA + DIO lineage as well as in the PNA lineage. By E18.5, all PNA + DIO lineage pregnancies miscarried, whereas fetuses in the PNA lineage were only smaller in body size. There were no alterations in germ cell markers in E12.5 fetal gonads that could explain the detrimental effects. Placental gene expression of transcription factor AP-2, gamma (Tfap2c), however, involved in placenta growth and linked to fetal death, was decreased in the PNA + DIO lineage indicating that placenta dysfunction may trigger late miscarriage of F2 pregnancies (10). These findings support clinical studies demonstrating that pregnant women with PCOS are at increased risk for pregnancy complications, including miscarriage (210-214).
To understand the underlying mechanisms of transgenerational transmission of PCOS-like traits, single-cell RNA sequencing of MII oocytes from F1 to F3 female offspring in each lineage was performed and differential gene expression analyses were obtained for all lineages except PNA + DIO lineage. A large number of differentially expressed genes (DEGs) were identified across generations involved in ovarian function, metabolism, and DNA repair, as well as imprinted genes, genes involved in mitochondrial activity and epigenetic regulation. There are no available RNA sequencing or omics data of MII oocytes from daughters of women with and without PCOS to investigate the implication of DEGs in the PNA mouse MII oocytes. Selected DEGs with the largest expression differences across generations in MII oocytes of PNA mice, however, were analyzed in serum of daughters from women with and without PCOS, identifying overexpression of TIAL1 encoding for a member of a family of RNA-binding proteins that are important in a large number of biological functions relevant for PCOS. Other upregulated genes in mouse MII oocytes and human serum were FABP5, RNF141, and INIP (10). These identified risk-associated genes could potentially be used to identify whether future generations could develop a PCOS phenotype, although further mechanistic research are required.
These transgenerational findings clearly indicate that intrauterine and/or germ cell factors contribute to the development and transmission of PCOS-like traits. The multiomic area of research is developing rapidly and the fact that it now is possible to sequence not just the transcriptome but also the methylome and nucleosome from the same cell will open up new avenues and likely uncover common molecular features that are altered transgenerationally. To further explore the field of transgenerational transmission of PCOS, other models need to be tested, including the PAMH model.
Translational Aspects
Animal models that emulate PCOS-like traits have provided and will continue to provide unparalleled opportunities to develop novel therapeutic approaches to PCOS. As currently demonstrated, therapeutic approaches towards ameliorating PCOS in women are equally successful in ameliorating PCOS-like traits in animal models. Insulin sensitizers, for example, are proven therapeutics for improving metabolic and reproductive dysfunction in women with PCOS. They are also effective in improving cycles and androgen and LH levels in PNA mice (358), improving cycles and insulin-mediated glucoregulation in PNA sheep (281), and normalizing cycles while diminishing androgenic responsiveness to an hCG challenge and improving glucoregulation and lipids in PNA NHP (280), establishing a common insulin-driven mechanism exaggerating or causing metabolic and reproductive PCOS-like traits in animal models and PCOS traits in women.
In addition, 7 to 10 days of antiandrogen therapy normalizes progesterone negative feedback on LH pulse frequency in women with PCOS (359), 6 months of antiandrogen therapy normalizes menstrual cycles and reproductive hormones (274), and longer duration of application, commonly with other therapies including insulin sensitizers and oral contraceptives, have proven efficacious in improving menstrual cycle regularity and reproductive hormones (360) and hirsutism (361), respectively. Intriguingly, employing peripubertal or adult blockade of AR signaling in PNA mice has revealed an unanticipated mechanism underlying one aspect of PNA programming, rewired neuronal circuitry of the neuroendocrine hypothalamus driving hypergonadotropism that contributes to hyperandrogenism. This rewiring defect in the PNA female mouse hypothalamus persists from prepuberty and into adulthood (97). Antiandrogen therapy in adulthood normalizes hypothalamic neuronal circuitry and restores normal gonadotropin function and estrous cyclicity (93, 97), demonstrating that prevailing hypothalamic androgen action is required to maintain PNA programmed neuroendocrine pathology through ovary-quiescent prepubertal life. This PNA mouse finding holds potential for the development of antiandrogen therapy in PCOS women that targets the hypothalamus alone, thus avoiding hepatoxicity concerns from systemic administration. Such an approach also has potential for prepubertal administration to prevent the onset of PCOS signs and symptoms. The selective peripubertal DHT onset, ARKO mouse models support this notion, as they clearly demonstrate the key roles for AR in discrete organs, such as the brain, in facilitating the induction of many PCOS-like traits (Supplementary Table 2) (36).
The more recent PAMH model provides evidence suggesting that exacerbation of GnRH neuronal activity/secretion can be the basis for neuroendocrine and neural anomalies that accompany PCOS. Indeed, since the prenatal co-treatment of AMH with a GnRH antagonist successfully prevents the appearance of all PCOS-like neuroendocrine traits in female PAMH offspring, the finding suggests a critical pathogenic role for excess GnRH in developmental programming of PCOS and its maintenance (107). Along this line, Tata and colleagues have provided compelling evidence that intermittent delivery of a GnRH antagonist to adult PAMH mice, successfully restores normal gonadotropin function, LH pulsatility, T levels, ovarian morphology, and estrous cyclicity (107). Thus, based on these findings, pharmacological antagonism aimed at tempering GnRH–LH secretion is an attractive therapeutic strategy to restore ovulation and fertility in women with PCOS characterized by high LH levels (> 75% of women with PCOS), given the fact that GnRH antagonists are already used in the clinic in adult subjects without reported deleterious side effects.
Taken together, animal models consistently implicate androgen excess in the etiopathogenesis of PCOS-like traits in females, from fetal life to adolescence. Developmental programming, whether genetic, environmental (epigenetic), or a combination of both, such as androgen excess-induced epigenetic amplification of genotype, appears key. The variable phenotypes observed with DHT- and letrozole-induced PCOS-like models compared to PNA emphasize the contribution of activational signals that occur during critical times in life, including puberty, and are mediated through diet, stress, and environmental chemical exposure to modify any programmed (re-organized) phenotype and alter its severity of expression. Naturally hyperandrogenic PCOS-like female NHP raise the possibility that not only might PCOS risk genes be highly conserved and have ancient origins in human populations, but they may in fact also have more distant origins in ancestral primates, bestowing survival and pro-fertility traits. Thus, both genetically modified mouse models and familial whole genome sequencing in naturally hyperandrognic female NHP are appearing as elegant animal model techniques enabling molecular understanding of PCOS-like etiopathogenesis that can target or regulate specific tissues and body regions. Such emerging models will provide excellent tools with which to further investigate mechanisms of reproductive dysfunction, insulin resistance in target tissues, constrained adipose storage capacity, fatty liver, pancreatic decompensation and cognitive changes. Additionally, cross-talk between tissues and species will likely be important, particularly when possible sequencing data of tissue from animal models can be overlapped with sequenced data from humans using 1:1 orthologue genes.
Abbreviations
- AGD
anogenital distance
- AgRP
agouti-related peptide
- AMH
anti-Müllerian hormone
- AR
androgen receptor
- ARKO
androgen receptor knockout
- AVPV
anteroventral periventricular
- BMI
body mass index
- BMP
bone morphogenic protein
- CART
cocaine and amphetamine- regulated transcript
- DEG
differentially expressed gene
- DHEA
dehydroepiandrosterone
- DHT
dihydrotestosterone
- DIO
diet-induced obesity
- DoHAD
developmental origin of adult disease
- ER
estrogen receptor
- ESR1
estrogen receptor alpha
- FSH
follicle-stimulating hormone
- GABA
gamma-aminobutyric acid
- GDF
growth differentiation factor
- GFP
green fluorescent protein
- GnRH
gonadotropin-releasing hormone
- GWAS
genome-wide association study
- hCG
human chorionic gonadotropin
- IVF
in vitro fertilization
- KNDy
kisspeptin/neurokinin B/dynorphin
- LepR
leptin receptor
- LH
luteinizing hormone
- MII
metaphase II
- NAFLD
nonalcoholic fatty liver disease
- NASH
nonalcoholic steatohepatitis
- NGF
nerve growth factor
- NHP
nonhuman primates
- NKCC1
sodium–potassium–chloride cotransporter 1
- NPY
neuropeptide Y
- PCOM
polycystic ovary morphology
- PCOS
polycystic ovary syndrome
- POMC
pro-opiomelanocortin
- PR
progesterone receptor
- T2D
type 2 diabetes
- TGF-β
transforming growth factor-β
Acknowledgments
We thank Maria Manti, PhD candidate at Karolinska Institutet, Sweden, for help preparing the tables.
Financial Support: This work was supported by the Swedish Medical Research Council (Project No. 2018-02435 ESV), the Novo Nordisk Foundation (NNF19OC0056647 ESV), and the SRP in Diabetes at Karolinska Institutet to E.S.V.; the Regional agreement on medical training and clinical research (ALF) between Stockholm County Council and Karolinska Institutet to E.S.V.; the National Institutes of Health, in support of V.P. (HD041098, HD044232), D.A.D. (P50HD071836), and D.H.A. (HD044405, HD028934, OD011106, DK121559); P.G. was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC-2016-CoG to P.G. grant agreement n° 725149/REPRODAMH); the National Health and Medical Research Council, Australia (APP1022648, APP1158540), the NHMRC Centre for Research Excellence (CRE) in PCOS, and the Endocrine Society of Australia (ESA) in support of K.A.W.; R.E.C. was supported by the Health Research Council of New Zealand (18-671) and the Royal Society Marsden Fund (17-064).
Additional Information
Disclosure: Authors have nothing to disclose.
References