Abstract

Background

Mechanisms linking herpes simplex virus type 2 (HSV-2) with human immunodeficiency virus (HIV) are not fully defined. We tested the hypothesis that HSV-2 and HIV dual infection is associated with cervicovaginal inflammation and/or vaginal dysbiosis.

Methods

Genital tract samples were obtained weekly over a 12-week period from 30 women seropositive (+) for HIV and HSV-2 and 15 women each who were seropositive for one or seronegative (−) for both viruses. Immune mediators, antimicrobial activity, and microbial composition and diversity were compared.

Results

Significant differences in the concentrations of interferon-γ (P = .002), tumor necrosis factor-α (P = .03), human beta defensin 1 (P = .001), secretory leukocyte protease inhibitor (P = .01), and lysozyme (P = .03) were observed across the 4 groups (Kruskal-Wallis). There were also significant differences in vaginal microbial alpha diversity (Simpson index) (P = .0046). Specifically, when comparing HIV-1+/HSV-2+ to HIV-1/HSV-2 women, a decrease in Lactobacillus crispatus and increase in diverse anaerobes was observed. The number of genital HSV outbreaks was greater in HIV+ versus HIV women (39 versus 12) (P = .04), but there were no significant differences when comparing outbreak to non-outbreak visits.

Conclusions

Increased microbial diversity and cervicovaginal inflammation in HIV and HSV-2 dually infected women may adversely impact genital health and, in the absence of antiretroviral therapy, facilitate HIV shedding.

The worldwide prevalence of herpes simplex virus type 2 (HSV-2) is greater than 400 million with an annual incidence of approximately 20 million cases including 11.8 million women [1]. Herpes simplex virus type 2 is one of the most significant factors fueling the human immunodeficiency virus (HIV) epidemic [2], and being seropositive for both HIV and HSV-2 is linked to higher HIV plasma viral loads (PVLs), accelerated HIV disease progression, and increased risk of HIV transmission. Conversely, higher rates of HSV-2 symptomatic or subclinical shedding are observed in HIV-infected (HIV+) compared with HIV-uninfected (HIV) individuals [3–6]. However, the biological mechanisms underlying this syndemic have not been fully defined.

Frequent sampling and sensitive polymerase chain reaction (PCR) assays have led to the realization that subclinical HSV-2 reactivation is common and may trigger local inflammatory responses [7–9]. This notion is supported by the finding of increased numbers and persistence of CD4+ and CD8αα+ T cells at sites of HSV-2 reactivation (vulvar and buttock skin biopsies) compared with the contralateral unaffected side [10]. It is possible that a similar inflammatory response to subclinical HSV reactivation may be present within the cervicovaginal environment, the presumed site of HIV acquisition and transmission.

We previously quantified the antiviral activity of cervicovaginal lavage (CVL) against HSV-2 ex vivo and the CVL concentrations of select immune mediators in HIV women with an active external genital herpetic lesion compared with doubly seronegative (HIV/HSV-2) controls. Samples were obtained at the time of a symptomatic HSV lesion, after 1 week of oral acyclovir, and 1 week after completing treatment. Increased concentrations of inflammatory molecules and higher anti-HSV activity were observed at the time of clinical outbreaks, which were primarily located on the vulva or buttocks, and persisted for at least 1 week [11]. These findings support the hypothesis that symptomatic skin recurrences might be associated with an inflammatory response within the cervicovaginal environment. The vaginal microbiome was not assessed, but, in other settings, a loss of protective lactobacilli and increase in microbial diversity have been associated with mucosal inflammation and increased HIV risk [12].

In a cross-sectional study, CVL antimicrobial activity and concentrations of immune molecules were compared in HIV+ women with relatively high PVL (>10 000 copies/mL), low PVL (<2600 copies/mL), or HIV women [13]. High PVL was associated with higher concentrations of proinflammatory cytokines and chemokines, less endogenous anti-Escherichia coli bactericidal activity, and higher Nugent scores. However, the study only measured mediators at a single time-point, did not include molecular testing for HSV shedding, or characterization of the vaginal microbiome. A few small studies suggest that recurrent genital HSV is associated with a higher Nugent score, decreases in protective lactobacilli, and/or increases in diverse anaerobes [14–16].

Building on this foundation, we conducted a 12-week longitudinal study and compared the vaginal microbiome and the concentrations of immune mediators and antimicrobial activity of genital tract secretions in HIV+/HSV-2+, HIV+/HSV-2, HIV/HSV-2+, and HIV/HSV-2 women. We hypothesized that, even in the setting of antiretroviral therapy (ART) and low PVL, HIV+/HSV-2+ coinfection would be associated with cervicovaginal inflammation, a decrease in CVL antimicrobial activity, loss of vaginal lactobacilli, and/or greater microbial diversity and speculated that such changes could promote HIV shedding in the absence of ART.

METHODS

Ethics Statement

The study was conducted according to the Declaration of Helsinki and approved by the Albert Einstein College of Medicine Institutional Review Board. All participants provided written informed consent.

Study Design

Thirty HIV-1+/HSV-2+ (dually infected), 15 HIV+/HSV-2, 15 HIV/HSV-2+, and 15 HIV-1/HSV-2 (control) women 18 years of age or older were recruited. Participants were excluded for pregnancy, use of suppressive herpes antiviral therapy, history of cervical cancer, hysterectomy, and high-grade intraepithelial neoplasia within the year before enrollment. The Focus HerpeSelect HSV-1 and HSV-2 serum antibody assay was performed at enrollment in all participants, and the OraQuick ADVANCE Rapid HIV-1/2 Antibody Test was performed in those who were not documented HIV-1+. Participants were followed for 12 weeks and, at weekly visits, vaginal pH was measured (Whatman pH paper, pH 3.8–5.5) and vaginal swabs were collected. Cervicovaginal lavage (10 mL normal saline) was obtained at enrollment (visit 1), week 6 (visit 7), and week 12 (visit 13). Women were also asked to return for additional sampling (CVL and swab) if they had a genital herpes outbreak as defined by presence of symptoms (pruritus, pain) and a discrete genital (vulva, vagina, cervix, perineum, buttocks) vesicle or ulcer. Nugent scores were assessed at enrollment, week 12, and during outbreaks [17].

Measurement of Immune Molecules and Antimicrobial Activity

Cervicovaginal lavages and swabs were transported to the laboratory on ice. Cervicovaginal lavages were clarified by centrifugation at 700 × gravity for 10 minutes at 4°C. Supernatants were divided into aliquots and stored at −80°C. An aliquot of unspun CVL was stored for HIV ribonucleic acid (RNA) quantification. The CVL protein concentration was measured by Micro-BCA Protein Assay kit (Thermo Scientific, Rockford, IL). Cervicovaginal lavage concentrations of interleukin (IL)-1 receptor antagonist (IL-1ra), IL-1α, IL-1β, IL-6, IL-8, macrophage inflammatory protein (MIP)-1α, MIP-1β, regulated upon activation, normal T-cell expressed and secreted (RANTES), interferon (IFN)-γ, and tumor necrosis factor (TNF)-α were quantified by multiplex proteome array with beads from Millipore (Billerica, MA), measured using Luminex 100 (Luminex Corp., Austin, TX) and analyzed using StarStation (Applied Cytometry Systems, Sacramento, CA). Commercial enzyme-linked immunosorbent assay kits were used to measure CVL concentrations of secretory leukocyte protease inhibitor (SLPI) (R&D Systems, Minneapolis, MN), lactoferrin (Calbiochem, San Diego, CA), lysozyme (ALPCO Diagnostics, Salem, NH), human neutrophil peptides 1–3 (HNP1-3) (HyCult Biotechnology, Uden, The Netherlands), human beta defensin (HBD) 1, HBD2, and HBD3 (Alpha Diagnostic International, San Antonio, TX), immunoglobulin (Ig)A, and IgG (Cygnus Technologies, Soundport, NC). These mediators were selected for their association with inflammation, HIV risk, and/or endogenous antimicrobial activity [13, 18]. The ability of CVL to inhibit or enhance HIV-1 infection of TZM-bl cells, HSV-2 infection of Vero cells, or E coli growth was measured as previously described and is presented as the mean percentage inhibition relative to control plates [19]. Values greater than 100% are indicative of enhancement of infection.

Human Immunodeficiency Virus Ribonucleic Acid and Herpes Simplex Virus-2 Deoxyribonucleic Acid Quantification

Human immunodeficiency virus-1 RNA was quantified in plasma and CVL and HSV-2 deoxyribonucleic acid (DNA) in vaginal swabs using the Abbott m2000 System (Abbott Molecular, Des Plaines, IL) [20, 21].

Vaginal Microbiome

Deoxyribonucleic acid was extracted from frozen vaginal swabs using a Powersoil DNA Isolation Kit (Mo Bio, Carlsbad, CA). The V1–V3 hypervariable regions of the bacterial 16S ribosomal (rRNA) gene were amplified by PCR using barcoded primers and sequenced using the Illumina MiSeq using 2 × 300 base-paired end technology (384 samples/run) [22]. Sequencing resulted in an average of 74 163 raw paired-reads/sample. The raw paired-end reads were preprocessed using the MeFiT pipeline [23], which merges the overlapping tails to generate the full V1–V3 amplicon and filters it for quality using a maximum expected error rate of 1 per 100 bases. The resulting high-quality amplicons were classified to species-level using STIRRPUS, which uses the USEARCH algorithm combined with a curated vaginal 16S rRNA gene database [18].

Statistical Analyses

A cross-sectional analysis using enrollment sampling was performed. For participants who had an HSV-2 outbreak at enrollment (4 HIV-1+/HSV-2+ and 1 HIV-1/HSV-2+ only), a non-outbreak sample was used. Concentrations of mediators below the lower limit of detection (LLOD) were set at the LLOD [24]. Differences in participant characteristics, concentrations of CVL immune mediators, and antimicrobial activity (HSV, E coli, and HIV) across all 4 groups were compared using χ2 or Fisher’s exact tests for categorical variables and analysis of variance or Kruskal-Wallis tests for continuous variables. Spearman’s correlation coefficients were estimated to assess associations between antimicrobial activity and concentrations of immune mediators. Additional comparisons between groups were assessed by regression for log-transformed immune mediators with adjustment for age, smoking, and douching. A regression model for testing main and interaction effects of HIV and HSV-2 was performed to assess whether differences were predominantly affected by HIV and/or HSV-2 serostatus. Repeated measures analyses were performed using linear mixed-effect models by including subject-specific random intercept to evaluate effects of HIV and HSV-2 over time and to compare HSV-2 outbreak to non-outbreak visits. Sensitivity analysis was also performed by removing postmenopausal women. Intraclass correlation coefficients (ICC) within participants were calculated for vaginal pH, Nugent score, and other mediators.

Read counts assigned by STIRRUPS at species-level above the identity threshold of 97% were converted to proportions to determine the percentage of the total microbiome contributed by each species. The predominant taxon in a sample refers to the taxon for which the largest number of reads were assigned taxonomic classification with confidence. Microbiomes were categorized by dominant taxa (vagitypes) as previously described [22, 25]. For example, in the Lactobacillus crispatus vagitype, L crispatus was predominant and proportionally ≥30%. A final vagitype included microbiomes in which there was no predominant taxon with ≥30% representation. This strategy is reproducible and has ~90% agreement with other clustering approaches [25], but it provides a higher resolution of vaginal microbiomes than earlier stratification strategies [26].

Linear discriminant analysis (LDA) effect size [27] was used to perform high-dimensional class comparisons to identify species that discriminate the HIV and HSV groups. It applies a Kruskal-Wallis rank-sum test for each bacterium, followed by LDA to estimate effect size of the contributing variable. Only bacterial species that are present in relative abundance of >0.1% in at least 25% of samples in either group were included in the analysis. The bar plots indicate effect size of bacterial species that correlate with HSV and HIV status with a minimum LDA score cutoff of 3.0.

RESULTS

Clinical and Demographic Characteristics

Most of the HIV+ women were on ART, had low or undetectable PVL, and had similar numbers of CD4+ T cells in the peripheral blood when comparing the HSV-2+ and HSV-2 participants (Table 1). The dually infected women were older, more likely to report being postmenopausal, had completed less formal education, were more likely to be current smokers, and to report a history of douching compared with the other groups. Most participants (58 of 75, 77%) completed at least 10 of the scheduled study visits; 5 completed only the baseline visit (2 in the HIV+/HSV-2 group and 1 in each of the other groups).

Table 1.

Demographic and Clinical Characteristics of Study Participants

CharacteristicHIV/HSV-2HIV/HSV-2+HIV+/HSV-2HIV+/HSV-2+P Value
(n = 15)(n = 15)(n = 15)(n = 30)
Age (years), mean ± SD36 ± 9.239.4 ± 8.232.8 ± 10.546.2 ± 10.5<.01
Race: White, Black, Other, Unknown4, 7, 4, 04, 7, 4, 01, 6, 6, 24, 18, 6, 2.46
Ethnicity: Hispanic, Non-Hispanic4, 116, 97, 89, 21.60
Education: <High school1 (7)1 (7)2 (13)9 (30).04
 High school3 (20)4 (27)4 (27)10 (33)
 Some college3 (20)7 (46)7 (46)8 (27)
 College or graduate8 (53)3 (20)2 (13)3 (10)
Current smoking3 (20)4 (27)7 (47)17 (57).06
Hormonal contraception2 (13)02 (13)3 (10).55
Postmenopausal1 (7)2 (13)1 (7)10 (30).06
History of douching3 (20)3 (20)6 (40)19 (63).01
Vaginal pH4.5 (4.4, 4.7)4.6 (4.4, 4.9)4.9 (4.6, 5.5)5.2 (4.7, 5.5)<.001
Nugent score: 0–39 (60)8 (57)3 (20)5 (29).14
 4–62 (13)1 (7)6 (40)3 (18)
 7–104 (27)5 (36)6 (40)9 (53)
HSV-1 IgG seropositive12 (80)8 (53)10 (67)19 (63).49
ART use12 (80)26 (87).56
CD4 count (cells/μL)499 (386, 665)512 (282, 729).80
HIV-1 RNA undetectable in plasma8 (53)13 (45).59
HIV-1 RNA detectable in CVL4 (27)12 (40).51
Symptomatic HSV outbreaksa.04
 0 (no. of outbreaks per participant)410
 186
 227
 305
 401
Total number of outbreaks1239
HSV DNA detected (enrollment)1/12 (8%)7/26 (27%).38
CharacteristicHIV/HSV-2HIV/HSV-2+HIV+/HSV-2HIV+/HSV-2+P Value
(n = 15)(n = 15)(n = 15)(n = 30)
Age (years), mean ± SD36 ± 9.239.4 ± 8.232.8 ± 10.546.2 ± 10.5<.01
Race: White, Black, Other, Unknown4, 7, 4, 04, 7, 4, 01, 6, 6, 24, 18, 6, 2.46
Ethnicity: Hispanic, Non-Hispanic4, 116, 97, 89, 21.60
Education: <High school1 (7)1 (7)2 (13)9 (30).04
 High school3 (20)4 (27)4 (27)10 (33)
 Some college3 (20)7 (46)7 (46)8 (27)
 College or graduate8 (53)3 (20)2 (13)3 (10)
Current smoking3 (20)4 (27)7 (47)17 (57).06
Hormonal contraception2 (13)02 (13)3 (10).55
Postmenopausal1 (7)2 (13)1 (7)10 (30).06
History of douching3 (20)3 (20)6 (40)19 (63).01
Vaginal pH4.5 (4.4, 4.7)4.6 (4.4, 4.9)4.9 (4.6, 5.5)5.2 (4.7, 5.5)<.001
Nugent score: 0–39 (60)8 (57)3 (20)5 (29).14
 4–62 (13)1 (7)6 (40)3 (18)
 7–104 (27)5 (36)6 (40)9 (53)
HSV-1 IgG seropositive12 (80)8 (53)10 (67)19 (63).49
ART use12 (80)26 (87).56
CD4 count (cells/μL)499 (386, 665)512 (282, 729).80
HIV-1 RNA undetectable in plasma8 (53)13 (45).59
HIV-1 RNA detectable in CVL4 (27)12 (40).51
Symptomatic HSV outbreaksa.04
 0 (no. of outbreaks per participant)410
 186
 227
 305
 401
Total number of outbreaks1239
HSV DNA detected (enrollment)1/12 (8%)7/26 (27%).38

Abbreviations: ART, antiretroviral therapy; CVL, cervicovaginal lavage; DNA, deoxyribonucleic acid; HSV, herpes simplex virus; IgG, immunoglobulin G; RNA, ribonucleic acid; SD, standard deviation; VL, viral load.

NOTE: Categorical variables reported as n (%) and continuous variables reported as median (25th%, 75th%), unless otherwise noted.

aThe HSV genital outbreaks were compared between the 2 groups by Cochran Armitage test for trend.

Table 1.

Demographic and Clinical Characteristics of Study Participants

CharacteristicHIV/HSV-2HIV/HSV-2+HIV+/HSV-2HIV+/HSV-2+P Value
(n = 15)(n = 15)(n = 15)(n = 30)
Age (years), mean ± SD36 ± 9.239.4 ± 8.232.8 ± 10.546.2 ± 10.5<.01
Race: White, Black, Other, Unknown4, 7, 4, 04, 7, 4, 01, 6, 6, 24, 18, 6, 2.46
Ethnicity: Hispanic, Non-Hispanic4, 116, 97, 89, 21.60
Education: <High school1 (7)1 (7)2 (13)9 (30).04
 High school3 (20)4 (27)4 (27)10 (33)
 Some college3 (20)7 (46)7 (46)8 (27)
 College or graduate8 (53)3 (20)2 (13)3 (10)
Current smoking3 (20)4 (27)7 (47)17 (57).06
Hormonal contraception2 (13)02 (13)3 (10).55
Postmenopausal1 (7)2 (13)1 (7)10 (30).06
History of douching3 (20)3 (20)6 (40)19 (63).01
Vaginal pH4.5 (4.4, 4.7)4.6 (4.4, 4.9)4.9 (4.6, 5.5)5.2 (4.7, 5.5)<.001
Nugent score: 0–39 (60)8 (57)3 (20)5 (29).14
 4–62 (13)1 (7)6 (40)3 (18)
 7–104 (27)5 (36)6 (40)9 (53)
HSV-1 IgG seropositive12 (80)8 (53)10 (67)19 (63).49
ART use12 (80)26 (87).56
CD4 count (cells/μL)499 (386, 665)512 (282, 729).80
HIV-1 RNA undetectable in plasma8 (53)13 (45).59
HIV-1 RNA detectable in CVL4 (27)12 (40).51
Symptomatic HSV outbreaksa.04
 0 (no. of outbreaks per participant)410
 186
 227
 305
 401
Total number of outbreaks1239
HSV DNA detected (enrollment)1/12 (8%)7/26 (27%).38
CharacteristicHIV/HSV-2HIV/HSV-2+HIV+/HSV-2HIV+/HSV-2+P Value
(n = 15)(n = 15)(n = 15)(n = 30)
Age (years), mean ± SD36 ± 9.239.4 ± 8.232.8 ± 10.546.2 ± 10.5<.01
Race: White, Black, Other, Unknown4, 7, 4, 04, 7, 4, 01, 6, 6, 24, 18, 6, 2.46
Ethnicity: Hispanic, Non-Hispanic4, 116, 97, 89, 21.60
Education: <High school1 (7)1 (7)2 (13)9 (30).04
 High school3 (20)4 (27)4 (27)10 (33)
 Some college3 (20)7 (46)7 (46)8 (27)
 College or graduate8 (53)3 (20)2 (13)3 (10)
Current smoking3 (20)4 (27)7 (47)17 (57).06
Hormonal contraception2 (13)02 (13)3 (10).55
Postmenopausal1 (7)2 (13)1 (7)10 (30).06
History of douching3 (20)3 (20)6 (40)19 (63).01
Vaginal pH4.5 (4.4, 4.7)4.6 (4.4, 4.9)4.9 (4.6, 5.5)5.2 (4.7, 5.5)<.001
Nugent score: 0–39 (60)8 (57)3 (20)5 (29).14
 4–62 (13)1 (7)6 (40)3 (18)
 7–104 (27)5 (36)6 (40)9 (53)
HSV-1 IgG seropositive12 (80)8 (53)10 (67)19 (63).49
ART use12 (80)26 (87).56
CD4 count (cells/μL)499 (386, 665)512 (282, 729).80
HIV-1 RNA undetectable in plasma8 (53)13 (45).59
HIV-1 RNA detectable in CVL4 (27)12 (40).51
Symptomatic HSV outbreaksa.04
 0 (no. of outbreaks per participant)410
 186
 227
 305
 401
Total number of outbreaks1239
HSV DNA detected (enrollment)1/12 (8%)7/26 (27%).38

Abbreviations: ART, antiretroviral therapy; CVL, cervicovaginal lavage; DNA, deoxyribonucleic acid; HSV, herpes simplex virus; IgG, immunoglobulin G; RNA, ribonucleic acid; SD, standard deviation; VL, viral load.

NOTE: Categorical variables reported as n (%) and continuous variables reported as median (25th%, 75th%), unless otherwise noted.

aThe HSV genital outbreaks were compared between the 2 groups by Cochran Armitage test for trend.

Although not statistically significantly different, the percentage of women with HIV detected in CVL was higher in the HIV+/HSV-2+ compared with the HIV+/HSV-2 women (12 of 30 [40%] versus 4 of 15 [27%], P = .51), and, conversely, the percentage of women with HSV-2 DNA detected in vaginal swabs at enrollment was higher in the HIV+ compared with HIV (7 of 26 [27%] versus 1 of 12 [8%], P = .38). Clinical HSV-2 recurrences (primarily on the labia or buttocks) were observed in a similar proportion of HIV+ and HIV-1 women (19 of 29 versus 10 of 14, respectively) during the study, but the total number of outbreaks was greater in the HIV+ compared with HIV women (39 versus 12). Specifically, among the 19 HIV+ women with recurrences, 1 had 4 outbreaks, 5 had 3 outbreaks, 7 had 2 outbreaks, and 6 had 1 outbreak compared with the 10 HIV participants where 2 had 2 recurrences and 8 had 1 (P = .04) (Table 1).

Differences in Concentrations of Immune Mediators and Antimicrobial Activity

Cervicovaginal lavage concentrations of mediators were compared at enrollment or, for the 4 HIV+/HSV-2+ who had an HSV-2 outbreak at enrollment, using CVL from visit 7. One HIV/HSV-2+ participant with an outbreak at enrollment did not have a subsequent CVL available for comparison. There was no difference in total protein; however, significant differences in CVL concentrations of IFN-γ (P = .002), TNF-α (P = .03), HBD1 (P = .001), SLPI (P = .01), and lysozyme (P = .03) were observed across the 4 groups (Table 2). To estimate whether differences were associated with HIV, HSV-2, or their interaction, regression models were first fitted to the data after adjusting for age, current smoking, and douching. When no statistically significant interaction was observed, the effects of HIV and HSV-2 were estimated from a model without the interaction term. Higher concentrations of IFN-γ were associated with HIV (P = .006), whereas higher levels of IgG (P = .03) and lower levels of HBD1 (P = .02) were associated with HSV-2 (Table 2). Because a greater proportion of the HIIV+/HSV-2+ women were postmenopausal, a sensitivity analysis excluding those women was also performed. Overall, the results were similar, although TNF-α and SLPI were less significant in this analysis, which may reflect the smaller sample size (Supplementary Table 1).

Table 2.

Comparison of Concentrations of Immune Mediators and Antimicrobial Activity Between Groups

Proteins and Anti-microbial activity Group 1Group 2Group 3Group 4P ValuebP Value Adjusted for Age, Smoking and Douchinga
HIV/HSV-2HIV/HSV-2aHIVa/HSV-2HIVa/HSV-2a
Median (IQR)Median (IQR)Median (IQR)Median (IQR)HIVHSVInteraction
Total Protein 288 (144)384 (234)315 (366)309 (282).710.860.390.52
IL-1ra 9821.5 (4072.1)10 001.0 (3601.4)7552.0 (3917.1)9505.3 (4894.3).760.990.350.86
IL-1α54.3 (113.4)66.5 (85.6)255.3 (423.2)82.7 (206.1).330.260.720.14
IL-1β2.6 (11.8)5.1 (47.6)6.8 (27.9)3.9 (12.9).630.090.420.61
IL-6 3.8 (10.5)3.6 (5.8)3.9 (11.5)2.2 (4.6).420.770.840.99
IL-8270.3 (849.1)468.0 (1757.2)379.4 (650.2)350.3 (993.6).770.980.830.50
MIP-1α4.5 (5.1)5.8 (8.9)6.2 (8.2)5.7 (9.4).990.580.900.90
MIP-1β2.3 (3.5)2.3 (3.2)6.7 (5.4)2.3 (3.0).660.410.870.64
RANTES0.5 (1.3)1.2 (4.3)2.3 (9.1)1.9 (5.8).260.060.910.38
IFN-γ0.1 (0.5)0.8 (2.9)1.7 (1.9)1.9 (3.1).0020.0060.090.41
TNF-α0.1 (0.1)0.2 (0.5)0.5 (0.8)0.3 (0.7).030.160.150.69
HBD13964 (8747)1478 (1645)1588 (2231)497 (981).0010.150.020.98
HBD23296 (14 110)1444 (6286)2031 (8192)1669 (5940).250.580.430.58
HBD3 1420 (1664)1050 (4231)1886 (4670)420 (1147).080.110.200.46
SLPI 377 417 (899 489)157 128 (367 621)319 307 (505 209)173 853 (151 828).010.390.130.34
HNP1–366 349 (156 503)102 284 (511 993)76 117 (371 280)157 342 (348 739).780.550.850.44
Lysozyme 443 (294)296 (319)270 (495)223 (226).030.080.190.93
Lactoferrin 2067 (1827)2500 (4308)897 (1760)1355 (3017).711.000.680.83
IgG 6931 (14 107)21 617 (27 283)6003 (6057)12 731 (20 891).160.910.030.75
IgA 2685 (3089)2895 (9375)2002 (1595)2798 (6029).610.430.310.41
Anti-HIV23.5 (55.3)19.5 (70.0)45 (50.8)70.6 (35.5).0040.120.130.32
Anti-HSV20.5 (40.0)47.0 (20.0)19.5 (30.6)19.5 (50.5).050.170.190,23
Anti-E coli30.0 (74.5)47.0 (67.0)20.0 (33.0)31.5 (45.5).490.780.300.98
Proteins and Anti-microbial activity Group 1Group 2Group 3Group 4P ValuebP Value Adjusted for Age, Smoking and Douchinga
HIV/HSV-2HIV/HSV-2aHIVa/HSV-2HIVa/HSV-2a
Median (IQR)Median (IQR)Median (IQR)Median (IQR)HIVHSVInteraction
Total Protein 288 (144)384 (234)315 (366)309 (282).710.860.390.52
IL-1ra 9821.5 (4072.1)10 001.0 (3601.4)7552.0 (3917.1)9505.3 (4894.3).760.990.350.86
IL-1α54.3 (113.4)66.5 (85.6)255.3 (423.2)82.7 (206.1).330.260.720.14
IL-1β2.6 (11.8)5.1 (47.6)6.8 (27.9)3.9 (12.9).630.090.420.61
IL-6 3.8 (10.5)3.6 (5.8)3.9 (11.5)2.2 (4.6).420.770.840.99
IL-8270.3 (849.1)468.0 (1757.2)379.4 (650.2)350.3 (993.6).770.980.830.50
MIP-1α4.5 (5.1)5.8 (8.9)6.2 (8.2)5.7 (9.4).990.580.900.90
MIP-1β2.3 (3.5)2.3 (3.2)6.7 (5.4)2.3 (3.0).660.410.870.64
RANTES0.5 (1.3)1.2 (4.3)2.3 (9.1)1.9 (5.8).260.060.910.38
IFN-γ0.1 (0.5)0.8 (2.9)1.7 (1.9)1.9 (3.1).0020.0060.090.41
TNF-α0.1 (0.1)0.2 (0.5)0.5 (0.8)0.3 (0.7).030.160.150.69
HBD13964 (8747)1478 (1645)1588 (2231)497 (981).0010.150.020.98
HBD23296 (14 110)1444 (6286)2031 (8192)1669 (5940).250.580.430.58
HBD3 1420 (1664)1050 (4231)1886 (4670)420 (1147).080.110.200.46
SLPI 377 417 (899 489)157 128 (367 621)319 307 (505 209)173 853 (151 828).010.390.130.34
HNP1–366 349 (156 503)102 284 (511 993)76 117 (371 280)157 342 (348 739).780.550.850.44
Lysozyme 443 (294)296 (319)270 (495)223 (226).030.080.190.93
Lactoferrin 2067 (1827)2500 (4308)897 (1760)1355 (3017).711.000.680.83
IgG 6931 (14 107)21 617 (27 283)6003 (6057)12 731 (20 891).160.910.030.75
IgA 2685 (3089)2895 (9375)2002 (1595)2798 (6029).610.430.310.41
Anti-HIV23.5 (55.3)19.5 (70.0)45 (50.8)70.6 (35.5).0040.120.130.32
Anti-HSV20.5 (40.0)47.0 (20.0)19.5 (30.6)19.5 (50.5).050.170.190,23
Anti-E coli30.0 (74.5)47.0 (67.0)20.0 (33.0)31.5 (45.5).490.780.300.98

Abbreviations: E coli, Escherichia coli; HBD, human beta defensin; HIV, human immunodeficiency virus; HNP, human neutrophil peptide; HSV, herpes simplex virus; IFN, interferon; Ig, immunoglobulin; IL, interleukin; IQR, interquartile range; MIP, macrophage inflammatory protein; SLPI, secretory leukocyte protease inhibitor; TNF, tumor necrosis factor.

NOTE: Concentrations of proteins are median (IQR) in μg/mL for total protein and pg/mL for all others. Antimicrobial activity is the mean percentage inhibition with standard deviations.

aRegression for log-transformed immune mediators with adjustment for age, smoking, and douching and testing main and interaction effects of HIV and HSV-2.

bKruskal-Wallis rank-sum test; bolded P value indicate P < 0.05.

Table 2.

Comparison of Concentrations of Immune Mediators and Antimicrobial Activity Between Groups

Proteins and Anti-microbial activity Group 1Group 2Group 3Group 4P ValuebP Value Adjusted for Age, Smoking and Douchinga
HIV/HSV-2HIV/HSV-2aHIVa/HSV-2HIVa/HSV-2a
Median (IQR)Median (IQR)Median (IQR)Median (IQR)HIVHSVInteraction
Total Protein 288 (144)384 (234)315 (366)309 (282).710.860.390.52
IL-1ra 9821.5 (4072.1)10 001.0 (3601.4)7552.0 (3917.1)9505.3 (4894.3).760.990.350.86
IL-1α54.3 (113.4)66.5 (85.6)255.3 (423.2)82.7 (206.1).330.260.720.14
IL-1β2.6 (11.8)5.1 (47.6)6.8 (27.9)3.9 (12.9).630.090.420.61
IL-6 3.8 (10.5)3.6 (5.8)3.9 (11.5)2.2 (4.6).420.770.840.99
IL-8270.3 (849.1)468.0 (1757.2)379.4 (650.2)350.3 (993.6).770.980.830.50
MIP-1α4.5 (5.1)5.8 (8.9)6.2 (8.2)5.7 (9.4).990.580.900.90
MIP-1β2.3 (3.5)2.3 (3.2)6.7 (5.4)2.3 (3.0).660.410.870.64
RANTES0.5 (1.3)1.2 (4.3)2.3 (9.1)1.9 (5.8).260.060.910.38
IFN-γ0.1 (0.5)0.8 (2.9)1.7 (1.9)1.9 (3.1).0020.0060.090.41
TNF-α0.1 (0.1)0.2 (0.5)0.5 (0.8)0.3 (0.7).030.160.150.69
HBD13964 (8747)1478 (1645)1588 (2231)497 (981).0010.150.020.98
HBD23296 (14 110)1444 (6286)2031 (8192)1669 (5940).250.580.430.58
HBD3 1420 (1664)1050 (4231)1886 (4670)420 (1147).080.110.200.46
SLPI 377 417 (899 489)157 128 (367 621)319 307 (505 209)173 853 (151 828).010.390.130.34
HNP1–366 349 (156 503)102 284 (511 993)76 117 (371 280)157 342 (348 739).780.550.850.44
Lysozyme 443 (294)296 (319)270 (495)223 (226).030.080.190.93
Lactoferrin 2067 (1827)2500 (4308)897 (1760)1355 (3017).711.000.680.83
IgG 6931 (14 107)21 617 (27 283)6003 (6057)12 731 (20 891).160.910.030.75
IgA 2685 (3089)2895 (9375)2002 (1595)2798 (6029).610.430.310.41
Anti-HIV23.5 (55.3)19.5 (70.0)45 (50.8)70.6 (35.5).0040.120.130.32
Anti-HSV20.5 (40.0)47.0 (20.0)19.5 (30.6)19.5 (50.5).050.170.190,23
Anti-E coli30.0 (74.5)47.0 (67.0)20.0 (33.0)31.5 (45.5).490.780.300.98
Proteins and Anti-microbial activity Group 1Group 2Group 3Group 4P ValuebP Value Adjusted for Age, Smoking and Douchinga
HIV/HSV-2HIV/HSV-2aHIVa/HSV-2HIVa/HSV-2a
Median (IQR)Median (IQR)Median (IQR)Median (IQR)HIVHSVInteraction
Total Protein 288 (144)384 (234)315 (366)309 (282).710.860.390.52
IL-1ra 9821.5 (4072.1)10 001.0 (3601.4)7552.0 (3917.1)9505.3 (4894.3).760.990.350.86
IL-1α54.3 (113.4)66.5 (85.6)255.3 (423.2)82.7 (206.1).330.260.720.14
IL-1β2.6 (11.8)5.1 (47.6)6.8 (27.9)3.9 (12.9).630.090.420.61
IL-6 3.8 (10.5)3.6 (5.8)3.9 (11.5)2.2 (4.6).420.770.840.99
IL-8270.3 (849.1)468.0 (1757.2)379.4 (650.2)350.3 (993.6).770.980.830.50
MIP-1α4.5 (5.1)5.8 (8.9)6.2 (8.2)5.7 (9.4).990.580.900.90
MIP-1β2.3 (3.5)2.3 (3.2)6.7 (5.4)2.3 (3.0).660.410.870.64
RANTES0.5 (1.3)1.2 (4.3)2.3 (9.1)1.9 (5.8).260.060.910.38
IFN-γ0.1 (0.5)0.8 (2.9)1.7 (1.9)1.9 (3.1).0020.0060.090.41
TNF-α0.1 (0.1)0.2 (0.5)0.5 (0.8)0.3 (0.7).030.160.150.69
HBD13964 (8747)1478 (1645)1588 (2231)497 (981).0010.150.020.98
HBD23296 (14 110)1444 (6286)2031 (8192)1669 (5940).250.580.430.58
HBD3 1420 (1664)1050 (4231)1886 (4670)420 (1147).080.110.200.46
SLPI 377 417 (899 489)157 128 (367 621)319 307 (505 209)173 853 (151 828).010.390.130.34
HNP1–366 349 (156 503)102 284 (511 993)76 117 (371 280)157 342 (348 739).780.550.850.44
Lysozyme 443 (294)296 (319)270 (495)223 (226).030.080.190.93
Lactoferrin 2067 (1827)2500 (4308)897 (1760)1355 (3017).711.000.680.83
IgG 6931 (14 107)21 617 (27 283)6003 (6057)12 731 (20 891).160.910.030.75
IgA 2685 (3089)2895 (9375)2002 (1595)2798 (6029).610.430.310.41
Anti-HIV23.5 (55.3)19.5 (70.0)45 (50.8)70.6 (35.5).0040.120.130.32
Anti-HSV20.5 (40.0)47.0 (20.0)19.5 (30.6)19.5 (50.5).050.170.190,23
Anti-E coli30.0 (74.5)47.0 (67.0)20.0 (33.0)31.5 (45.5).490.780.300.98

Abbreviations: E coli, Escherichia coli; HBD, human beta defensin; HIV, human immunodeficiency virus; HNP, human neutrophil peptide; HSV, herpes simplex virus; IFN, interferon; Ig, immunoglobulin; IL, interleukin; IQR, interquartile range; MIP, macrophage inflammatory protein; SLPI, secretory leukocyte protease inhibitor; TNF, tumor necrosis factor.

NOTE: Concentrations of proteins are median (IQR) in μg/mL for total protein and pg/mL for all others. Antimicrobial activity is the mean percentage inhibition with standard deviations.

aRegression for log-transformed immune mediators with adjustment for age, smoking, and douching and testing main and interaction effects of HIV and HSV-2.

bKruskal-Wallis rank-sum test; bolded P value indicate P < 0.05.

Antimicrobial Activity of Cervicovaginal Lavage

The ability of CVL to inhibit or enhance HIV and HSV-2 infection of cells or growth of E coli when added to cultures was quantified (Figure 1 and Table 2). The mean percentage inhibition of HIV differed across the groups (P = .004; Kruskal-Wallis), was highest in the HIV+/HSV-2+, and correlated only weakly (rho <0.2) with CVL protein or any of the individual mediators. The mean percentage inhibition of HSV-2 was highest in the HIV/HSV-2+ women across the 4 groups (P = .05) and when compared with the HIV+/HSV-2+ women, suggesting that HIV may be associated with loss of this activity. The anti-HSV-2 activity correlated modestly (rho >0.30) with total protein (r = 0.44), HNP1-3 (r = 0.35), lysozyme (r = 0.47), IgG (r = 0.45), IgA (r = 0.32), and IL-8 (r = 0.41) (P < .00001). There were no differences across the groups in E coli inhibitory activity, which correlated modestly with total protein (r = 0.48), lysozyme (r = 0.34), IgG (r = 0.33), and IgA (r = 0.288) (P < .001) and negatively with Nugent score (r = −0.254; P = .002).

Differences in antimicrobial activity of cervicovaginal lavage (CVL) in human immunodeficiency virus (HIV) and/or herpes simplex virus type 2 (HSV-2) seropositive women. Scatter dot plots showing the percentage inhibition of (A) HIV infection of TZM-bl cells, (B) HSV-2 infection of Vero cells, and (C) Escherichia coli growth in the presence of cervicovaginal lavage fluid relative to cells treated with control buffer. Values greater than 100% are indicative of enhancement of infection. Each individual point indicates results from duplicate wells for a single participant; the bar indicates the mean value for the group. The asterisk indicates P = .0049 comparing anti-HIV activity of CVL in HIV+/HSV-2+ versus HIV−/HSV-2− controls (Kruskal-Wallis with Dunn’s multiple comparisons).
Figure 1.

Differences in antimicrobial activity of cervicovaginal lavage (CVL) in human immunodeficiency virus (HIV) and/or herpes simplex virus type 2 (HSV-2) seropositive women. Scatter dot plots showing the percentage inhibition of (A) HIV infection of TZM-bl cells, (B) HSV-2 infection of Vero cells, and (C) Escherichia coli growth in the presence of cervicovaginal lavage fluid relative to cells treated with control buffer. Values greater than 100% are indicative of enhancement of infection. Each individual point indicates results from duplicate wells for a single participant; the bar indicates the mean value for the group. The asterisk indicates P = .0049 comparing anti-HIV activity of CVL in HIV+/HSV-2+ versus HIV/HSV-2 controls (Kruskal-Wallis with Dunn’s multiple comparisons).

Repeated Measures Over Time

We conducted an analysis of repeated measures over the course of the study for the effects of HIV or HSV-2 on immune mediators and antimicrobial activity and comparing outbreak and non-outbreak visits (Supplementary Table 2). The ICCs were relatively high except for anti-HIV activity, which showed substantial variability (ICC = 0.28). The repeated measure model strengthened the association between HIV and/or HSV-2 on several mucosal markers. After adjusting for age and smoking, higher levels of IFN-γ (P = .001) and RANTES (P = .019) and lower levels of lysozyme (P = .032) and anti-HSV activity (P = .02) were observed in association with HIV, whereas lower levels of HBD-1 were associated with both HIV and HSV-2 (P = .042 and P = .023, respectively). There were no significant differences in non-outbreak versus outbreak visits in the unadjusted or adjusted model.

Human Immunodeficiency Virus/Herpes Simplex Virus Dual Infection Is Associated With a More Diverse Microbiome

A cross-sectional comparison of the vaginal microbiome was conducted using the enrollment swab or, for the 4 HIV+/HSV-2+ and 1 HIV/HSV-2+ who had an outbreak at enrollment, a swab from Visit 10 (n = 4) or Visit 4 (n = 1). Samples with at least 2500 high-quality reads were included in the analysis (n = 21 HIV+/HSV-2+, n = 12 HIV+/HSV-2, n = 12 HIV/HSV-2+, and n = 13 double negative controls) (Figure 2). There were significant differences in alpha diversity (Simpson index) among the 4 groups (P = .0046; Kruskal-Wallis) (Figure 3) and, specifically, when comparing the HIV+/HSV-2+ to HIV/HSV-2 controls or to the HIV/HSV-2+ group (P = .02 and P = .03, respectively, post hoc pairwise comparison with false discovery rate adjustment). No difference in beta-diversity was observed.

Vaginal microbiome differs in dually infected women. Stacked bar plots showing vaginal microbial community profiles from samples within the 4 groups human immunodeficiency virus (HIV)−/herpes simplex virus type 2− (HSV-2−), HIV−/HSV-2+, HIV+/HSV-2−, and HIV+/HSV-2+ in the cross-sectional cohort. The color legend only shows selected taxons with a total of 197 species plotted. Samples are grouped by the most abundant species, and those within each community group are clustered on bray distances using Ward’s method. The distances were calculated using vegan R package and the figure was prepared using ggplot2.
Figure 2.

Vaginal microbiome differs in dually infected women. Stacked bar plots showing vaginal microbial community profiles from samples within the 4 groups human immunodeficiency virus (HIV)/herpes simplex virus type 2 (HSV-2), HIV/HSV-2+, HIV+/HSV-2, and HIV+/HSV-2+ in the cross-sectional cohort. The color legend only shows selected taxons with a total of 197 species plotted. Samples are grouped by the most abundant species, and those within each community group are clustered on bray distances using Ward’s method. The distances were calculated using vegan R package and the figure was prepared using ggplot2.

Alpha diversity is significantly higher in human immunodeficiency virus (HIV)+/herpes simplex virus type 2+ (HSV-2+) women. Boxplot showing differences in alpha diversity measures within each group of the cross-sectional cohort. Alpha diversity was measured as the inverse Simpson index, which considers the richness as well as the abundance of species within the sample. The diversity is significantly different among the groups (Kruskal-Wallis, P = .0046), with post hoc pairwise comparisons indicating significantly higher diversity in the HIV+/HSV-2+ group compared with HIV−/HSV-2− and HIV−/HSV-2+ groups (P = .02 and P = .03, respectively, false discovery rate adjustments).
Figure 3.

Alpha diversity is significantly higher in human immunodeficiency virus (HIV)+/herpes simplex virus type 2+ (HSV-2+) women. Boxplot showing differences in alpha diversity measures within each group of the cross-sectional cohort. Alpha diversity was measured as the inverse Simpson index, which considers the richness as well as the abundance of species within the sample. The diversity is significantly different among the groups (Kruskal-Wallis, P = .0046), with post hoc pairwise comparisons indicating significantly higher diversity in the HIV+/HSV-2+ group compared with HIV/HSV-2 and HIV/HSV-2+ groups (P = .02 and P = .03, respectively, false discovery rate adjustments).

Among 63 bacteria with a relative abundance >10% in at least 2% of samples, there were significant species differences comparing HIV+/HSV-2+ to HIV/HSV-2 (Figure 4A) and compared with HIV/HSV-2+ (Figure 4B). Specifically, there was a decrease in L crispatus and, conversely, increases in several bacterial vaginosis (BV)-associated species including Atopobium, Prevotella, Finegoldia, and Clostridiales in HIV+ compared with HIV women. After adjustment for age, smoking, and douching, a regression model indicated that the decrease in L crispatus and increase in Finegoldia were associated with HIV, whereas the increase in Clostridiaceae.1.OTU17 was associated with HSV-2 (all P = .04) (Supplemental Table 3).

Statistical association analysis using linear discriminant analysis effect size (LefSe). Bacterial species with significantly differential abundance between dually infected human immunodeficiency virus (HIV)+/herpes simplex virus type 2+ (HSV-2+) and HIV−/HSV-2− women (A), and HIV−/HSV-2+ women (B) were identified using LEfSe. Features with linear discriminant analysis (LDA) score greater than 3.0 are shown. The inner boxplots show relative abundance of select species within groups compared by LEfSe.
Figure 4.

Statistical association analysis using linear discriminant analysis effect size (LefSe). Bacterial species with significantly differential abundance between dually infected human immunodeficiency virus (HIV)+/herpes simplex virus type 2+ (HSV-2+) and HIV/HSV-2 women (A), and HIV/HSV-2+ women (B) were identified using LEfSe. Features with linear discriminant analysis (LDA) score greater than 3.0 are shown. The inner boxplots show relative abundance of select species within groups compared by LEfSe.

Repeated analysis demonstrated high ICC for most of the bacteria (Supplemental Table 4) as well as for vaginal pH (ICC = 0.92) and Nugent scores (ICC = 0.76). When the relative predominance of specific species was assessed for its association with HIV and/or HSV, and after adjusting for age and smoking, most of the changes were associated with HIV. Specifically, lower levels of L crispatus cluster and higher levels of BV-associated species were observed. There was little difference comparing outbreak to non-outbreak visits except for lower levels of L jensenii in the outbreak compared with non-outbreak visits (P = .03) (Supplementary Table 4). There were also no significant differences in mediators or microbiota in the HIV+/HSV-2+ women who did nor did not have HSV DNA detected in vaginal swabs (Supplementary Tables 5 and 6).

DISCUSSION

The high prevalence of HSV-2 in sub-Saharan Africa has been suggested to contribute more than any other factor to HIV transmission [28, 29]. In the current study, we explored the impact of HSV-2 on the cervicovaginal mucosa and identified modest increases in select inflammatory cytokines, decreases in antimicrobial proteins, and alterations in the vaginal microbiome in HSV-2+ women with the most significant differences observed comparing dually seropositive to dually seronegative women. These findings support the contention that HIV and HSV-2 coinfection negatively affects the female genital tract mucosal environment.

Several of the findings were predicted by preclinical studies. For example, studies with epithelial or immune cells have shown that HSV-2 triggers release of inflammatory cytokines such as TNF-α [30] and downregulates SLPI, which has inhibitory activity against HIV and HSV [31–34]. Similarly, in a humanized mouse model of persistent HIV-infection (JR-CSF/hu-cycT1 mice), intravaginal HSV-2 infection triggered an increase in inflammatory cells and cytokines, a decrease in SLPI, and an increase in HIV genital tract viral loads [35].

We also quantified the ability of CVL to inhibit E coli growth and to reduce HIV or HSV-2 infection of cells in culture. These assays may reflect the cumulative effects of soluble molecules produced by microbes or human cells, presence of HIV- or HSV-specific antibodies, and antiviral drugs. The mean percentage inhibition of HIV was significantly higher in CVL obtained from HIV+ compared with HIV women independent of HSV-2 serostatus, but it did not correlate with any of the immune molecules, suggesting that the higher activity likely reflects antiretroviral drugs and/or HIV-specific antibodies. In contrast, the anti-HSV activity of CVL, which correlated in the current and in prior studies with several immune molecules [36], was lower in the HIV+ compared with HIV women. The lower HSV-2 inhibitory activity could contribute to the increased number of outbreaks observed in HIV+ women. Although the E coli inhibitory activity did not differ between the 4 groups, the overall activity was lower than previously reported in healthy HIV women and may reflect the finding that only 4 of 13 (30.7%) of the HIV/HSV-2 had an L crispatus-dominant and none had an L jensenii-dominant microbiome. Prior studies suggest that E coli inhibitory activity is mediated, in part, by molecules secreted by these lactobacilli and is decreased in BV [13, 37, 38].

One of the most striking findings was the difference in vaginal microbial alpha diversity. The greatest differences were observed comparing the dually infected women to dually seronegative controls, suggesting a combined effect of HIV and HSV-2. None of the HIV+/HSV-2+ women had an L crispatus or L jensenii-dominant microbiome. The lack of lactobacillus dominance across the overall cohort may reflect the study population. Combining data from multiple studies indicates that although ~90% of healthy white North American women have vaginal bacterial communities dominated by lactobacilli, this decreases to 60%–65% of US black women and ranges from 37% to 62% of black women in sub-Saharan Africa [12, 26, 39–41]. Dysbiosis in the HIV+/HSV-2+ women may also have contributed to the modest differences in immune molecules. An increase in genital tract inflammatory cytokines and a decrease in SLPI and defensins have been described in patients with BV, although most studies have been conducted in HIV women [40, 42–44].

Vaginal dysbiosis has also been linked to HIV acquisition and transmission. However, there are few studies addressing the impact of HSV-2 on vaginal microbiome and, to our knowledge, no prior studies on HIV-HSV-2 coinfection. Several studies indicate that HSV-2 is associated with an increased risk of BV and, conversely, that BV is associated with increased HSV-2 shedding [45, 46]. Mechanistically, a more diverse, anaerobic microbiome may be associated with increased local inflammation, recruitment of CD4+ T cells (targets of HIV infection), loss of innate defensins, and a decrease in the epithelial barrier [12]. The specific species linked to the inflammatory response have varied across studies, but they include several identified in the current study [40, 47].

The observed differences in microbiome and in concentrations of select immune mediators in the dually infected compared with HIV+/HSV-2 women did not translate into a statistically significant increase in HIV shedding or PVL, although the percentage of women with HIV detected in CVL was higher in the HSV-2+ compared with HSV-2 women. Similarly, there were no significant differences in HSV-2 shedding at enrollment, but the total number of outbreaks was greater in the HIV+ compared with HIV participants. These findings likely reflect the inclusion of women with low or fully suppressed HIV PVL on ART. We speculate that, in the absence of ART (or incomplete adherence), HSV-2 coinfection may contribute to HIV shedding.

CONCLUSIONS

Limitations of the current study include the small sample size, infrequent sampling, and relatively short study period. However, results support the premise that HIV and HSV-2 have negative effects on mucosal immunity and highlight the importance of developing strategies to prevent both viral infections. This notion is further underscored by studies demonstrating adverse effects of HSV-2 on peripheral blood immune cell populations and possibly latent HIV viral reservoirs [48].

SUPPLEMENTARY DATA

Supplementary materials are available at The Journal of Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Notes

Acknowledgments. We thank Jenny Stanwix for assistance with recruitment and the Nucleic Acids Research Facilities at Virginia Commonwealth University for performing the sequencing.

Financial support. This work was funded by the National Institutes of Health (Grants U01 AI035004, R01 AI065309, UL1 TR00193, and P30 AI124414).

Potential conflicts of interest. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

References

1.

Looker
KJ
,
Magaret
AS
,
Turner
KM
,
Vickerman
P
,
Gottlieb
SL
,
Newman
LM
.
Global estimates of prevalent and incident herpes simplex virus type 2 infections in 2012
.
PLoS One
2015
;
10
:
e114989
.

2.

Barnabas
RV
,
Celum
C
.
Infectious co-factors in HIV-1 transmission herpes simplex virus type-2 and HIV-1: new insights and interventions
.
Curr HIV Res
2012
;
10
:
228
37
.

3.

Koelle
DM
,
Wald
A
.
Herpes simplex virus: the importance of asymptomatic shedding
.
J Antimicrob Chemother
2000
;
45
(
Suppl T3
):
1
8
.

4.

Patterson
J
,
Hitti
J
,
Selke
S
, et al.
Genital HSV detection among HIV-1-infected pregnant women in labor
.
Infect Dis Obstet Gynecol
2011
;
2011
:
157680
.

5.

Posavad
CM
,
Wald
A
,
Kuntz
S
, et al.
Frequent reactivation of herpes simplex virus among HIV-1-infected patients treated with highly active antiretroviral therapy
.
J Infect Dis
2004
;
190
:
693
6
.

6.

Schacker
T
,
Zeh
J
,
Hu
H
,
Shaughnessy
M
,
Corey
L
.
Changes in plasma human immunodeficiency virus type 1 RNA associated with herpes simplex virus reactivation and suppression
.
J Infect Dis
2002
;
186
:
1718
25
.

7.

Mark
KE
,
Wald
A
,
Magaret
AS
, et al.
Rapidly cleared episodes of herpes simplex virus reactivation in immunocompetent adults
.
J Infect Dis
2008
;
198
:
1141
9
.

8.

Schiffer
JT
,
Swan
D
,
Al Sallaq
R
, et al.
Rapid localized spread and immunologic containment define Herpes simplex virus-2 reactivation in the human genital tract
.
Elife
2013
;
2
:
e00288
.

9.

Tronstein
E
,
Johnston
C
,
Huang
ML
, et al.
Genital shedding of herpes simplex virus among symptomatic and asymptomatic persons with HSV-2 infection
.
JAMA
2011
;
305
:
1441
9
.

10.

Zhu
J
,
Hladik
F
,
Woodward
A
, et al.
Persistence of HIV-1 receptor-positive cells after HSV-2 reactivation is a potential mechanism for increased HIV-1 acquisition
.
Nat Med
2009
;
15
:
886
92
.

11.

Keller
MJ
,
Madan
RP
,
Shust
G
, et al.
Changes in the soluble mucosal immune environment during genital herpes outbreaks
.
J Acquir Immune Defic Syndr
2012
;
61
:
194
202
.

12.

Anahtar
MN
,
Byrne
EH
,
Doherty
KE
, et al.
Cervicovaginal bacteria are a major modulator of host inflammatory responses in the female genital tract
.
Immunity
2015
;
42
:
965
76
.

13.

Herold
BC
,
Keller
MJ
,
Shi
Q
, et al.
Plasma and mucosal HIV viral loads are associated with genital tract inflammation in HIV-infected women
.
J Acquir Immune Defic Syndr
2013
;
63
:
485
93
.

14.

Cherpes
TL
,
Hillier
SL
,
Meyn
LA
,
Busch
JL
,
Krohn
MA
.
A delicate balance: risk factors for acquisition of bacterial vaginosis include sexual activity, absence of hydrogen peroxide-producing lactobacilli, black race, and positive herpes simplex virus type 2 serology
.
Sex Transm Dis
2008
;
35
:
78
83
.

15.

Kaul
R
,
Nagelkerke
NJ
,
Kimani
J
, et al.
Prevalent herpes simplex virus type 2 infection is associated with altered vaginal flora and an increased susceptibility to multiple sexually transmitted infections
.
J Infect Dis
2007
;
196
:
1692
7
.

16.

Ursell
LK
,
Gunawardana
M
,
Chang
S
, et al.
Comparison of the vaginal microbial communities in women with recurrent genital HSV receiving acyclovir intravaginal rings
.
Antiviral Res
2014
;
102
:
87
94
.

17.

Nugent
RP
,
Krohn
MA
,
Hillier
SL
.
Reliability of diagnosing bacterial vaginosis is improved by a standardized method of gram stain interpretation
.
J Clin Microbiol
1991
;
29
:
297
301
.

18.

Masson
L
,
Passmore
JA
,
Liebenberg
LJ
, et al.
Genital inflammation and the risk of HIV acquisition in women
.
Clin Infect Dis
2015
;
61
:
260
9
.

19.

Keller
MJ
,
Madan
RP
,
Torres
NM
, et al.
A randomized trial to assess anti-HIV activity in female genital tract secretions and soluble mucosal immunity following application of 1% tenofovir gel
.
PLoS One
2011
;
6
:
e16475
.

20.

FDA Cleared IMDx HSV-1/2 for Abbott m2000 assay. June 2014;1–18. https://www.accessdata.fda.gov/cdrh_docs/reviews/K140198.pdf.

21.

Scott
LE
,
Noble
LD
,
Moloi
J
,
Erasmus
L
,
Venter
WD
,
Stevens
W
.
Evaluation of the Abbott m2000 RealTime human immunodeficiency virus type 1 (HIV-1) assay for HIV load monitoring in South Africa compared to the Roche Cobas AmpliPrep-Cobas Amplicor, Roche Cobas AmpliPrep-Cobas TaqMan HIV-1, and BioMerieux NucliSENS EasyQ HIV-1 assays
.
J Clin Microbiol
2009
;
47
:
2209
17
.

22.

Abdelmaksoud
AA
,
Girerd
PH
,
Garcia
EM
, et al.
Association between statin use, the vaginal microbiome, and Gardnerella vaginalis vaginolysin-mediated cytotoxicity
.
PLoS One
2017
;
12
:
e0183765
.

23.

Parikh
HI
,
Koparde
VN
,
Bradley
SP
,
Buck
GA
,
Sheth
NU
.
MeFiT: merging and filtering tool for Illumina paired-end reads for 16S rRNA amplicon sequencing
.
BMC Bioinformatics
2016
;
17
:
491
.

24.

Dezzutti
CS
,
Hendrix
CW
,
Marrazzo
JM
, et al.
Performance of swabs, lavage, and diluents to quantify biomarkers of female genital tract soluble mucosal mediators
.
PLoS One
2011
;
6
:
e23136
.

25.

Brooks
JP
,
Buck
GA
,
Chen
G
, et al.
Changes in vaginal community state types reflect major shifts in the microbiome
.
Microb Ecol Health Dis
2017
;
28
:
1303265
.

26.

Ravel
J
,
Gajer
P
,
Abdo
Z
, et al.
Vaginal microbiome of reproductive-age women
.
Proc Natl Acad Sci U S A
2011
;
108
(
Suppl 1
):
4680
7
.

27.

Segata
N
,
Izard
J
,
Waldron
L
, et al.
Metagenomic biomarker discovery and explanation
.
Genome Biol
2011
;
12
:
R60
.

28.

Chen
L
,
Jha
P
,
Stirling
B
, et al.
Sexual risk factors for HIV infection in early and advanced HIV epidemics in sub-Saharan Africa: systematic overview of 68 epidemiological studies
.
PLoS One
2007
;
2
:
e1001
.

29.

Freeman
EE
,
Weiss
HA
,
Glynn
JR
,
Cross
PL
,
Whitworth
JA
,
Hayes
RJ
.
Herpes simplex virus 2 infection increases HIV acquisition in men and women: systematic review and meta-analysis of longitudinal studies
.
AIDS
2006
;
20
:
73
83
.

30.

Marsden
V
,
Donaghy
H
,
Bertram
KM
, et al.
Herpes simplex virus type 2-infected dendritic cells produce TNF-α, which enhances CCR5 expression and stimulates HIV production from adjacent infected cells
.
J Immunol
2015
;
194
:
4438
45
.

31.

Fakioglu
E
,
Wilson
SS
,
Mesquita
PM
, et al.
Herpes simplex virus downregulates secretory leukocyte protease inhibitor: a novel immune evasion mechanism
.
J Virol
2008
;
82
:
9337
44
.

32.

John
M
,
Keller
MJ
,
Fam
EH
, et al.
Cervicovaginal secretions contribute to innate resistance to herpes simplex virus infection
.
J Infect Dis
2005
;
192
:
1731
40
.

33.

McNeely
TB
,
Dealy
M
,
Dripps
DJ
,
Orenstein
JM
,
Eisenberg
SP
,
Wahl
SM
.
Secretory leukocyte protease inhibitor: a human saliva protein exhibiting anti-human immunodeficiency virus 1 activity in vitro
.
J Clin Invest
1995
;
96
:
456
64
.

34.

Wahl
SM
,
McNeely
TB
,
Janoff
EN
, et al.
Secretory leukocyte protease inhibitor (SLPI) in mucosal fluids inhibits HIV-I
.
Oral Dis
1997
;
3
(
Suppl 1
):
S64
9
.

35.

Nixon
B
,
Fakioglu
E
,
Stefanidou
M
, et al.
Genital herpes simplex virus type 2 infection in humanized HIV-transgenic mice triggers HIV shedding and is associated with greater neurological disease
.
J Infect Dis
2014
;
209
:
510
22
.

36.

Shust
GF
,
Cho
S
,
Kim
M
, et al.
Female genital tract secretions inhibit herpes simplex virus infection: correlation with soluble mucosal immune mediators and impact of hormonal contraception
.
Am J Reprod Immunol
2010
;
63
:
110
9
.

37.

Kalyoussef
S
,
Nieves
E
,
Dinerman
E
, et al.
Lactobacillus proteins are associated with the bactericidal activity against E. coli of female genital tract secretions
.
PLoS One
2012
;
7
:
e49506
.

38.

Valore
EV
,
Park
CH
,
Igreti
SL
,
Ganz
T
.
Antimicrobial components of vaginal fluid
.
Am J Obstet Gynecol
2002
;
187
:
561
8
.

39.

Fredricks
DN
,
Fiedler
TL
,
Marrazzo
JM
.
Molecular identification of bacteria associated with bacterial vaginosis
.
N Engl J Med
2005
;
353
:
1899
911
.

40.

Gosmann
C
,
Anahtar
MN
,
Handley
SA
, et al.
Lactobacillus-deficient cervicovaginal bacterial communities are associated with increased HIV acquisition in young South African women
.
Immunity
2017
;
46
:
29
37
.

41.

Zhou
X
,
Brown
CJ
,
Abdo
Z
, et al.
Differences in the composition of vaginal microbial communities found in healthy Caucasian and black women
.
ISME J
2007
;
1
:
121
33
.

42.

Thurman
AR
,
Kimble
T
,
Herold
B
, et al.
Bacterial vaginosis and subclinical markers of genital tract inflammation and mucosal immunity
.
AIDS Res Hum Retroviruses
2015
;
31
:
1139
52
.

43.

Lennard
K
,
Dabee
S
,
Barnabas
SL
, et al.
Microbial
composition predicts genital tract inflammation and persistent bacterial vaginosis in South African adolescent females
.
Infect Immun
2018
;
86
(1): e00410-17.

44.

Shannon
B
,
Gajer
P
,
Yi
TJ
, et al.
Distinct effects of the cervicovaginal microbiota and herpes simplex type 2 infection on female genital tract immunology
.
J Infect Dis
2017
;
215
:
1366
75
.

45.

Esber
A
,
Vicetti Miguel
RD
,
Cherpes
TL
,
Klebanoff
MA
,
Gallo
MF
,
Turner
AN
.
Risk of bacterial vaginosis among women with herpes simplex virus type 2 infection: a systematic review and meta-analysis
.
J Infect Dis
2015
;
212
:
8
17
.

46.

Masese
L
,
Baeten
JM
,
Richardson
BA
, et al.
Incident herpes simplex virus type 2 infection increases the risk of subsequent episodes of bacterial vaginosis
.
J Infect Dis
2014
;
209
:
1023
7
.

47.

McClelland
RS
,
Lingappa
JR
,
Srinivasan
S
, et al.
Evaluation of the association between the concentrations of key vaginal bacteria and the increased risk of HIV acquisition in African women from five cohorts: a nested case-control study
.
Lancet Infect Dis
2018
;
18
:
554
64
.

48.

Mesquita
PM
,
Preston-Hurlburt
P
,
Keller
MJ
, et al.
Role of interleukin 32 in human immunodeficiency virus reactivation and its link to human immunodeficiency virus-herpes simplex virus coinfection
.
J Infect Dis
2017
;
215
:
614
22
.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Supplementary data