ABSTRACT

Background

Idiopathic nephrotic syndrome (NS) in children poses treatment challenges, with a subset developing steroid-resistant nephrotic syndrome (SRNS). Genetic factors play a role, yet data on paediatric SRNS genetics in India are scarce. We conducted a prospective study using whole-exome sequencing to explore genetic variants and their clinical correlations.

Methods

A single-centre prospective study (October 2018–April 2023) enrolled children with SRNS, undergoing renal biopsy and genetic testing per institutional protocol. Clinical, histological, and genetic data were recorded. DNA isolation and next-generation sequencing were conducted for genetic analysis. Data collection included demographics, clinical parameters, and kidney biopsy findings. Syndromic features were evaluated, with second-line immunosuppressive therapy administered. Patient and renal outcomes are presented for patients with and without genetic variants.

Results

A total of 680 paediatric NS patients were analysed, with 121 (17.8%) having SRNS and 96 consent to genetic analysis. 69 (71.9%) had early SRNS, 27 (28.1%) late. Among participants, 62 (64.58%) had reportable genetic variants. The most common were in COL4A genes, with 20 (31.7%) positive. Renal biopsy showed focal segmental glomerulosclerosis in 31/42 (74%) with variants, 16/28 (57.1%) without variants. Second-line immunosuppressions varied, with CNIs the most common. Outcomes varied, with partial or complete remission achieved in some while others progressed to ESRD.

Conclusion

The study underscores the importance of genetic analysis in paediatric SRNS, revealing variants in 65.7% of cases. COL4A variants were predominant. Variants correlated with varied renal outcomes, highlighting potential prognostic implications. These findings emphasize the value of personalized approaches and further research in managing paediatric SRNS.

KEY LEARNING POINTS

What was known:

  • Paediatric steroid-resistant nephrotic syndrome (SRNS) presents therapeutic challenges, with genetic factors implicated in some cases. However, comprehensive genetic studies in the Indian population are lacking, necessitating further exploration into the genetic landscape of SRNS in this demographic.

This study adds:

  • This study provides novel insights into the genetic basis of paediatric SRNS in India, identifying variants in 65.7% of cases. Col4A variants emerged as prominent, with implications for renal outcomes. The findings underscore the importance of genetic analysis in guiding personalized treatment strategies for SRNS.

Potential impact:

  • By elucidating the genetic underpinnings of paediatric SRNS in the Indian population, this study lays the foundation for tailored therapeutic interventions and prognostic assessments. The identification of prevalent variants and their association with clinical outcomes holds promise for enhancing patient care and informing future research directions in the field of nephrology.

INTRODUCTION

Idiopathic nephrotic syndrome (NS) is the most common glomerular disease in children. Although most (85%–90%) respond to the steroid, 10%–15% remain non-responsive to the steroid during the initial presentation, and 14%–36% of patients become secondary non-responders during the course of the disease [1, 2]. Steroid-resistant nephrotic syndrome (SRNS) constitutes a therapeutically challenging and heterogeneous group of kidney disorders with persisting proteinuria, hypalbuminaemia, and oedema despite standard immunosuppressive therapy [3]. About 30%–50% of the SRNS patients progress to end-stage kidney diseases (ESKD) within 10 years [4, 5].

While the pathogenesis of SRNS is multifactorial, one-third of cases have a genetic basis involving mutations in various genes critical for podocyte structure and function [6, 7]. Advancements in genomic technologies, particularly whole-exome sequencing (WES), have provided unprecedented opportunities to explore the genetic landscape of rare and complex diseases, including SRNS [6]. WES allows for comprehensive analysis of the protein-coding regions of the genome, enabling the identification of potentially pathogenic variants and shedding light on the genetic underpinnings of SRNS in the paediatric population. Several genetic mutations and variants have been implicated in the pathogenesis of SRNS, affecting genes encoding key components of the glomerular filtration barrier, podocyte structure, and signalling pathways. Like most genetic disorders, hereditary SRNS shows ethnic and geographic differences [8]. The monogenic mutations associated with SRNS vary from different populations. Studies from the eastern and western parts of India did not show NPHS1 and NPHS2 gene mutation as common monogenic reasons for SRNS, as reported in the Western literature [9, 10]. There have been no large-scale genetic studies on paediatric patients with SRNS in the Indian population.

Moreover, a comprehensive understanding of the genotype–phenotype correlations in paediatric SRNS patients and the exact relationships between specific genetic variants and distinct clinical phenotypes, disease severities, and treatment responses have not been fully elucidated. Although expert opinion recommends against immunosuppression in patients with SRNS and proven genetic variants, anecdotal evidence suggests partial remission following treatment [11]. It is still uncertain whether second-line immunosuppression may retard the progression in these patients.

In this prospectively collected data, we aimed to identify and characterize genetic variants, including rare or novel ones, using WES, and examine their associations with various clinical phenotypes, disease severities, and compare renal outcomes of patients with genetic variants in comparison with those who did not have genetic variants.

MATERIALS AND METHODS

We conducted a single-centre, prospective, pragmatic study of children with SRNS from October 2018 to April 2023. As per the institutional protocol, all SRNS patients underwent renal biopsy and genetic testing for clinical care. For this study, clinical and kidney histological findings and genetic test information were recorded. Patients unwilling to undergo genetic testing were excluded from the study. The parents/guardians of the children signed informed consent forms for genetic studies. Each study participant was given sufficient information to make a fully informed decision on the need for genetic analysis. The privacy and confidentiality of the reports were maintained. The Institute Ethics Committee approved the study.

Definitions

SRNS was defined as failure to achieve complete remission after 6 weeks of treatment with 60 mg/m2/day or a maximum of 60 mg/day oral prednisolone therapy according to the KDIGO (Kidney Disease: Improving Global Outcomes) clinical practice guidelines 2021 and the Indian Society of Paediatric Nephrology (ISPN, 2009) [12, 13]. It was ensured that patients who had been receiving corticosteroid therapy initiated outside of the institute by paediatricians had received adequate doses of corticosteroids or had been challenged with proper doses of corticosteroids before declaring SRNS. A response to treatment was defined as being complete remission (CR) if there had been three consecutive days of urine dipstick readings negative or trace, or a urine protein-to-creatinine ratio (UPCR) ≤0.2, and partial remission (PR) defined as a UPCR between 0.2 and 2 and a serum albumin concentration ≥ 3 g/dl. Steroid resistance was defined as ‘lack of CR at 4 weeks of therapy with daily prednisone or prednisolone at standard doses’ [13]. Early steroid resistance was defined as ‘SRNS occurring in a patient during his first episode of nephrotic syndrome’, while late SRNS was defined as ‘SRNS occurring in subsequent episodes’ [14].

Genetic analysis

DNA isolation and next-generation sequencing were performed at the genetic laboratory approved for genetic testing. Four millilitres of whole blood were taken from patients and transferred into tubes containing 200 μl of EDTA for DNA isolation. DNA was isolated, and exome library preparation was performed using an Ion AmpliSeq™ Exome RDY Kit (Thermo Fisher Scientific, Inc.), which enabled high-efficiency enrichment, with >90% of the target bases covered at 20× and >90% uniformity. The target regions were amplified using the Ion AmpliSeq™ Exome RDY Library Preparation. Template-positive ISPs were enriched and sequenced on an Ion Proton™ according to the manufacturer's instructions. Ampliseq exome libraries were sequenced using the Ion Torrent platform and a Proton sequencer. Primary and secondary data analyses were performed with Torrent Suite v.5.0.5. The generated data were mapped to the GRCh37/hg19 genome sequence. Several final refinements, such as soft-clipping and adapter trimming, were routinely performed by the Torrent Suite on the server. Variant calling was performed by the inbuilt plugin Variant Caller vc 5.0–13. Annotation of this variant information was performed using Ion Reporter software.

All disease-causing variants reported in HGMD and ClinVar, as well as all variants with minor allele frequencies <0.05 in the gnomAD database, were considered. The investigation of relevant variants focused on coding exons and UTR regions. All potential modes of inheritance patterns are considered. In silico, nonsynonymous variants were predicted using multiple algorithms, such as PolyPhen-2, SIFT, MutationTaster, and Mutation Assessor. In addition, the provided family history and clinical information were used to evaluate identified variants concerning their pathogenicity and causality and were categorized into classes 1–5 according to ACMG guidelines. All variants related to the patient's phenotype, except benign or probably benign ones, were reported. Independent evaluation of the pathogenicity of the reported variants was performed by one co-author (K.M.) who specialized in medical genetics.

Data collection

All patients had their weight, height, body mass index, and blood pressure (BP) recorded, and nutritional status was graded according to IAP growth charts. Office BP was measured, and hypertension was defined as systolic and/or diastolic BP ≥ 95th percentile for age, sex, or height recorded on three or more occasions. The estimated glomerular filtration rate creatinine was calculated using the modified Schwartz formula [15]. Chronic kidney disease was staged according to the Kidney Disease Outcome Quality Initiative Guidelines [16]. All patients with SRNS were counselled for and, if consented, had undergone kidney biopsy after clinical stabilization and kidney tissue specimens were subjected to light microscopy, immunofluorescence (IF), and electron microscopy. Other supportive care was given accordingly, and the details related to the second-line immunosuppression drugs used and their duration were noted during OPD follow-up.

All the SRNS patients were examined for obvious syndromic features, such as deafness, pupillary abnormalities, absence of patella and abnormal nails, and obesity. A significant family history was sought. Those with correlating syndromic features with positive genetic tests or family history were given further second-line immunosuppression drugs as per treating clinician's discretion.

Statistical analysis

Quantitative data are expressed as the mean ± standard deviation (SD). Categorical values are expressed as numbers and percentages. To analyse the significant differences between groups with or without pathogenic variants, categorical variables were analysed using the chi-square test or Fisher's exact test, and continuous variables were compared using the t-test or Mann–Whitney U-test. The statistical analysis was performed using SPSS v.25.0 (SPSS, Armonk, NY, USA).

RESULTS

A total of 680 paediatric NS patients aged between 1 and 18 years were analysed during the study period. Among them, 121 (17.8%) patients had SRNS and were advised to undergo genetic analysis; however, only 96 of them provided consent for genetic analysis. These 96 patients were included in the analysis. Among these patients, 69 (71.9%) had early SRNS, while 27 (28.1%) had late steroid resistance.

Among the 96 participants included in the study, reportable variants in single genes were present in 62 (64.58%) patients. After collation of data, the variants were reclassified as per ACMG 2015 criteria [17]. An effort was made to determine how many variants can explain the disease. Among them, pathogenic (P) or likely pathogenic variant (LP) was detected in 23 (23.95%), while variants of uncertain significance (VUS) or likely benign (LB) were detected in 39 (40.62%) (Figure 1). A comparative analysis of various characteristics between participants with identified genetic variants (P or LP), identified genetic variants (VUS or LB) and those without any detected variant, including demographic, clinical, and laboratory parameters, is presented in Table 1.

Study participants with SRNS.
Figure 1:

Study participants with SRNS.

Table 1:

Clinicopathological characteristics of patients in the study.

Total (n = 96)Genetic variants detected (P/LP) (n = 23)Genetic variants detected (VUS/LB) (n = 39)No genetic variants identified (n = 34)
Gender, male n (%)69 (71.9)18 (78.3)27 (69.2)24 (70.6)
Age in months, median (IQR)132 (63.25–208)201 (112–214)116 (51–192)127 (74–99)
Age of onset of NS, months median (IQR)57.5 (26.5–158)152 (63–194)78 (23–145)42 (22.5–101.5)
Hypertension n (%)61 (63.5)18 (78.3)21 (53.8)21 (61.8)
Early SRNS, n (%)69 (71.9)18 (78.3)29 (74.4)22 (64.7)
Late SRNS, n (%)27 (28.1)5 (21.7)10 (25.6)12 (35.3)
Parents consanguineous marriage10 (10.4)6 (26)4 (10.3)0
Family history23 (24)15 (65.2)7 (17.9)1 (2.9)
Syndromic features18 (18.8)13 (56.5)4 (10.3)0
Baseline eGFR, median (IQR)83 (57–102)54 (44–83)87 (70–106)84.5 (74–99)
Hb, g%, median (IQR)11.5 (10.1–13)10.7 (9.6–11.9)11.7 (10.7–13.4)11.3 (10.0–13.4)
Albumin, g% mean (SD)2.7 (0.95)3.1 (1.05)2.6 (0.9)2.2 (1.75–2.90)
Creatinine, mg%, median (IQR)0.7 (0.5–1.7)1.3 (0.7–3.0)0.6 (0.4–1.3)0.6 (0.5–1.5)
Triglycerides, mg% mean (SD)200 (130–325)147 (110–291)213 (147–324)227 (150–411)
Total cholesterol, mg% median (IQR)236 (155–385)164 (141–396)246 (158–391)309 (210–390)
Follow-up, months median (IQR)27 (17–60)27 (19–57)20 (12–26)44 (38.5–92.5)
ACEi/ARB use, n%56 (58.3)13 (56.5)22 (56.4)21 (61.8)
Total (n = 96)Genetic variants detected (P/LP) (n = 23)Genetic variants detected (VUS/LB) (n = 39)No genetic variants identified (n = 34)
Gender, male n (%)69 (71.9)18 (78.3)27 (69.2)24 (70.6)
Age in months, median (IQR)132 (63.25–208)201 (112–214)116 (51–192)127 (74–99)
Age of onset of NS, months median (IQR)57.5 (26.5–158)152 (63–194)78 (23–145)42 (22.5–101.5)
Hypertension n (%)61 (63.5)18 (78.3)21 (53.8)21 (61.8)
Early SRNS, n (%)69 (71.9)18 (78.3)29 (74.4)22 (64.7)
Late SRNS, n (%)27 (28.1)5 (21.7)10 (25.6)12 (35.3)
Parents consanguineous marriage10 (10.4)6 (26)4 (10.3)0
Family history23 (24)15 (65.2)7 (17.9)1 (2.9)
Syndromic features18 (18.8)13 (56.5)4 (10.3)0
Baseline eGFR, median (IQR)83 (57–102)54 (44–83)87 (70–106)84.5 (74–99)
Hb, g%, median (IQR)11.5 (10.1–13)10.7 (9.6–11.9)11.7 (10.7–13.4)11.3 (10.0–13.4)
Albumin, g% mean (SD)2.7 (0.95)3.1 (1.05)2.6 (0.9)2.2 (1.75–2.90)
Creatinine, mg%, median (IQR)0.7 (0.5–1.7)1.3 (0.7–3.0)0.6 (0.4–1.3)0.6 (0.5–1.5)
Triglycerides, mg% mean (SD)200 (130–325)147 (110–291)213 (147–324)227 (150–411)
Total cholesterol, mg% median (IQR)236 (155–385)164 (141–396)246 (158–391)309 (210–390)
Follow-up, months median (IQR)27 (17–60)27 (19–57)20 (12–26)44 (38.5–92.5)
ACEi/ARB use, n%56 (58.3)13 (56.5)22 (56.4)21 (61.8)

eGFR, estimated glomerular filtration rate; Hb, haemoglobin; ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker.

Table 1:

Clinicopathological characteristics of patients in the study.

Total (n = 96)Genetic variants detected (P/LP) (n = 23)Genetic variants detected (VUS/LB) (n = 39)No genetic variants identified (n = 34)
Gender, male n (%)69 (71.9)18 (78.3)27 (69.2)24 (70.6)
Age in months, median (IQR)132 (63.25–208)201 (112–214)116 (51–192)127 (74–99)
Age of onset of NS, months median (IQR)57.5 (26.5–158)152 (63–194)78 (23–145)42 (22.5–101.5)
Hypertension n (%)61 (63.5)18 (78.3)21 (53.8)21 (61.8)
Early SRNS, n (%)69 (71.9)18 (78.3)29 (74.4)22 (64.7)
Late SRNS, n (%)27 (28.1)5 (21.7)10 (25.6)12 (35.3)
Parents consanguineous marriage10 (10.4)6 (26)4 (10.3)0
Family history23 (24)15 (65.2)7 (17.9)1 (2.9)
Syndromic features18 (18.8)13 (56.5)4 (10.3)0
Baseline eGFR, median (IQR)83 (57–102)54 (44–83)87 (70–106)84.5 (74–99)
Hb, g%, median (IQR)11.5 (10.1–13)10.7 (9.6–11.9)11.7 (10.7–13.4)11.3 (10.0–13.4)
Albumin, g% mean (SD)2.7 (0.95)3.1 (1.05)2.6 (0.9)2.2 (1.75–2.90)
Creatinine, mg%, median (IQR)0.7 (0.5–1.7)1.3 (0.7–3.0)0.6 (0.4–1.3)0.6 (0.5–1.5)
Triglycerides, mg% mean (SD)200 (130–325)147 (110–291)213 (147–324)227 (150–411)
Total cholesterol, mg% median (IQR)236 (155–385)164 (141–396)246 (158–391)309 (210–390)
Follow-up, months median (IQR)27 (17–60)27 (19–57)20 (12–26)44 (38.5–92.5)
ACEi/ARB use, n%56 (58.3)13 (56.5)22 (56.4)21 (61.8)
Total (n = 96)Genetic variants detected (P/LP) (n = 23)Genetic variants detected (VUS/LB) (n = 39)No genetic variants identified (n = 34)
Gender, male n (%)69 (71.9)18 (78.3)27 (69.2)24 (70.6)
Age in months, median (IQR)132 (63.25–208)201 (112–214)116 (51–192)127 (74–99)
Age of onset of NS, months median (IQR)57.5 (26.5–158)152 (63–194)78 (23–145)42 (22.5–101.5)
Hypertension n (%)61 (63.5)18 (78.3)21 (53.8)21 (61.8)
Early SRNS, n (%)69 (71.9)18 (78.3)29 (74.4)22 (64.7)
Late SRNS, n (%)27 (28.1)5 (21.7)10 (25.6)12 (35.3)
Parents consanguineous marriage10 (10.4)6 (26)4 (10.3)0
Family history23 (24)15 (65.2)7 (17.9)1 (2.9)
Syndromic features18 (18.8)13 (56.5)4 (10.3)0
Baseline eGFR, median (IQR)83 (57–102)54 (44–83)87 (70–106)84.5 (74–99)
Hb, g%, median (IQR)11.5 (10.1–13)10.7 (9.6–11.9)11.7 (10.7–13.4)11.3 (10.0–13.4)
Albumin, g% mean (SD)2.7 (0.95)3.1 (1.05)2.6 (0.9)2.2 (1.75–2.90)
Creatinine, mg%, median (IQR)0.7 (0.5–1.7)1.3 (0.7–3.0)0.6 (0.4–1.3)0.6 (0.5–1.5)
Triglycerides, mg% mean (SD)200 (130–325)147 (110–291)213 (147–324)227 (150–411)
Total cholesterol, mg% median (IQR)236 (155–385)164 (141–396)246 (158–391)309 (210–390)
Follow-up, months median (IQR)27 (17–60)27 (19–57)20 (12–26)44 (38.5–92.5)
ACEi/ARB use, n%56 (58.3)13 (56.5)22 (56.4)21 (61.8)

eGFR, estimated glomerular filtration rate; Hb, haemoglobin; ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker.

Genetic variants

The genetic variants detected in the cohort

The details of patients with pathogenic and LP variants are detailed in (Table 2) while details of patients with VUS or LB are presented in (Supplementary Table S1). We encountered logistical constraints that prevented us from conducting genetic analyses on all the other family members. Still, all reports were analysed, and variant calling was done independently by two medical geneticists. We found a prevalence of autosomal dominant variants in genes, including INF2, LMX1B, CD2AP, PAX2, ACTN4, EHHADH, GAPVD1, SIX5, and COL4A3, ordered by frequency from highest to lowest. Autosomal recessive mutations, observed in descending order of frequency, were identified in genes such as COL4A4, COL4A3, COQ8B, LAMB2, NPHS2, NPHS1, NUP160, PLCE1, BBS12, SGPL1, SMARCAL1, MYOE1, LAMA5, FAT1, KIRREL1, FAT1, and COQ2. The X-linked mutations observed were COL4A5 and TBC1D8B.

Table 2:

Genetic profile of patients with genetic variant classified as P or LP.

S. NumberAge at onset/genderGene in which variant detected/inheritance patternClinical details (syndromic/non-syndromic) presentationType of mutation/zygosityVariant descriptionAmino acid changePathogenecityACMG evidence of pathogenecityRenal BiopsyOutcome (patient/renal)
19/MBBS12/ARBardet Biedl SyndromeMissense/Homozygouschr4:123663297G>Ap.Gly84ArgLPPM3, PP3Not doneAlive/PR
217/FLMX1B/ADNail Patella SyndromeMissense/Compound heterozygouschr9:129455566, c.705G>Cp.Leu226Arg; p.Lys235AsnLPPP3, PM2Alive/PR
36/MCOL4A4/ARNoFrameshift/HeterozygousExon 30/chr2:227920745p.Pro878fsLPPVS1, PMAlive/PR
416/MCOL4A3/ADYesSplice site/Heterozygoussplicesite_3:c.547–1delGLPPVS1, PMFSGSAlive/PR
517/MCOL4A5/XRYesNonsense/HemizygousExon 1,chrX:g108440189C>T, c.64C>Tp.Gln22TerLPPVS1, PMNot doneAlive/NR
617/MCOL4A5/XRYesFrameshift deletion/HemizygousExon 36,chrX:10786989, c.3158delCp.Pro1053LeufsTer99LPPVS1, PMAlive/PR
713/MCOL4A5/XRNoMissense/HemizygousExon 29, chrX:g.108606874G>A, c.2377G>Ap.Gly793ArgLPPP3, PM2FSGSAlive/PR
88/MCOL4A5/XRNoMissense/HemizygousExon 40, ChrX:g.108667183G>C c.3604G>Cp.Gly1202ArgLPPP3, PM2FSGSAlive/ESRD
96/FCOL4A4/ARNoMissense/HomozygousExon 45, Chr2:g227012226C>T c.4288G>Ap.Gly1430ArgLPPP3, PM2FSGSAlive/ESRD
109/MNPHS2NoMissense/HeterozygousExon 7, chr1:g.179552604C>T c.872G>Ap.Arg291GlnLPPM2, PM5FSGSAlive/CR
1117/MCOL4A4YesMissense/compound heterozygousExon 39, chr2:227896932 c.3638G>A;p.Gly1213Glu;LPPP3, PM2Not doneAlive/PR
1217/MPAX2/ADNoMissense/HeterozygousExon 3, chr10: 102510464, c.226G>Ap.Gly76SerPPS4, PP1MCDAlive/PR
1317/FLMX1BNoMissense/HeterozygousExon 4, chr9:129455529, c.668G>Ap.Arg223GlnPPS3, PP3FSGSAlive/PR
1417/MCOL4A5/XRYesSplice site/HemizygousExon 24, chrX:107840799PPVS1, PMNot doneAlive/ESRD
154/MCOQ2NoFrameshift/HeterozygousExon 1, chr4:84206019, c.48dupCp.Ala17fsPPS4, PVSNot doneAlive/CR
1616/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD
1717/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD (RTR)
182/FNPHS1/ARNoMissense/Double heterozygousExon 9, chr19:36339610, c.1099C>Tp.Arg367CysPPM3, PS3Not doneAlive/CR
1916/MLMX1B/ADYesMissense/heterozygousExon 8 , chr9:129458594, c.1085A>Gp.Asp362GlyLPPM2, PP3FSGSAlive/ESRD
208/MCOL4A5/XRYesFrameshift deletion/HemizygousP MCDAlive/PR
2116/MCOL4A5/XRYesFrameshift deletion/HemizygousPFSGSAlive/ESRD
2212/MCOL4A5/XRYesFrameshift deletion/HemizygousP FSGSAlive/CR
231.5/FCOL4A5/XRNoMissense/hemizygousExon 38, ChrX:g.108457183G>C c.3604G>CLP MCDAlive/PR
S. NumberAge at onset/genderGene in which variant detected/inheritance patternClinical details (syndromic/non-syndromic) presentationType of mutation/zygosityVariant descriptionAmino acid changePathogenecityACMG evidence of pathogenecityRenal BiopsyOutcome (patient/renal)
19/MBBS12/ARBardet Biedl SyndromeMissense/Homozygouschr4:123663297G>Ap.Gly84ArgLPPM3, PP3Not doneAlive/PR
217/FLMX1B/ADNail Patella SyndromeMissense/Compound heterozygouschr9:129455566, c.705G>Cp.Leu226Arg; p.Lys235AsnLPPP3, PM2Alive/PR
36/MCOL4A4/ARNoFrameshift/HeterozygousExon 30/chr2:227920745p.Pro878fsLPPVS1, PMAlive/PR
416/MCOL4A3/ADYesSplice site/Heterozygoussplicesite_3:c.547–1delGLPPVS1, PMFSGSAlive/PR
517/MCOL4A5/XRYesNonsense/HemizygousExon 1,chrX:g108440189C>T, c.64C>Tp.Gln22TerLPPVS1, PMNot doneAlive/NR
617/MCOL4A5/XRYesFrameshift deletion/HemizygousExon 36,chrX:10786989, c.3158delCp.Pro1053LeufsTer99LPPVS1, PMAlive/PR
713/MCOL4A5/XRNoMissense/HemizygousExon 29, chrX:g.108606874G>A, c.2377G>Ap.Gly793ArgLPPP3, PM2FSGSAlive/PR
88/MCOL4A5/XRNoMissense/HemizygousExon 40, ChrX:g.108667183G>C c.3604G>Cp.Gly1202ArgLPPP3, PM2FSGSAlive/ESRD
96/FCOL4A4/ARNoMissense/HomozygousExon 45, Chr2:g227012226C>T c.4288G>Ap.Gly1430ArgLPPP3, PM2FSGSAlive/ESRD
109/MNPHS2NoMissense/HeterozygousExon 7, chr1:g.179552604C>T c.872G>Ap.Arg291GlnLPPM2, PM5FSGSAlive/CR
1117/MCOL4A4YesMissense/compound heterozygousExon 39, chr2:227896932 c.3638G>A;p.Gly1213Glu;LPPP3, PM2Not doneAlive/PR
1217/MPAX2/ADNoMissense/HeterozygousExon 3, chr10: 102510464, c.226G>Ap.Gly76SerPPS4, PP1MCDAlive/PR
1317/FLMX1BNoMissense/HeterozygousExon 4, chr9:129455529, c.668G>Ap.Arg223GlnPPS3, PP3FSGSAlive/PR
1417/MCOL4A5/XRYesSplice site/HemizygousExon 24, chrX:107840799PPVS1, PMNot doneAlive/ESRD
154/MCOQ2NoFrameshift/HeterozygousExon 1, chr4:84206019, c.48dupCp.Ala17fsPPS4, PVSNot doneAlive/CR
1616/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD
1717/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD (RTR)
182/FNPHS1/ARNoMissense/Double heterozygousExon 9, chr19:36339610, c.1099C>Tp.Arg367CysPPM3, PS3Not doneAlive/CR
1916/MLMX1B/ADYesMissense/heterozygousExon 8 , chr9:129458594, c.1085A>Gp.Asp362GlyLPPM2, PP3FSGSAlive/ESRD
208/MCOL4A5/XRYesFrameshift deletion/HemizygousP MCDAlive/PR
2116/MCOL4A5/XRYesFrameshift deletion/HemizygousPFSGSAlive/ESRD
2212/MCOL4A5/XRYesFrameshift deletion/HemizygousP FSGSAlive/CR
231.5/FCOL4A5/XRNoMissense/hemizygousExon 38, ChrX:g.108457183G>C c.3604G>CLP MCDAlive/PR
Table 2:

Genetic profile of patients with genetic variant classified as P or LP.

S. NumberAge at onset/genderGene in which variant detected/inheritance patternClinical details (syndromic/non-syndromic) presentationType of mutation/zygosityVariant descriptionAmino acid changePathogenecityACMG evidence of pathogenecityRenal BiopsyOutcome (patient/renal)
19/MBBS12/ARBardet Biedl SyndromeMissense/Homozygouschr4:123663297G>Ap.Gly84ArgLPPM3, PP3Not doneAlive/PR
217/FLMX1B/ADNail Patella SyndromeMissense/Compound heterozygouschr9:129455566, c.705G>Cp.Leu226Arg; p.Lys235AsnLPPP3, PM2Alive/PR
36/MCOL4A4/ARNoFrameshift/HeterozygousExon 30/chr2:227920745p.Pro878fsLPPVS1, PMAlive/PR
416/MCOL4A3/ADYesSplice site/Heterozygoussplicesite_3:c.547–1delGLPPVS1, PMFSGSAlive/PR
517/MCOL4A5/XRYesNonsense/HemizygousExon 1,chrX:g108440189C>T, c.64C>Tp.Gln22TerLPPVS1, PMNot doneAlive/NR
617/MCOL4A5/XRYesFrameshift deletion/HemizygousExon 36,chrX:10786989, c.3158delCp.Pro1053LeufsTer99LPPVS1, PMAlive/PR
713/MCOL4A5/XRNoMissense/HemizygousExon 29, chrX:g.108606874G>A, c.2377G>Ap.Gly793ArgLPPP3, PM2FSGSAlive/PR
88/MCOL4A5/XRNoMissense/HemizygousExon 40, ChrX:g.108667183G>C c.3604G>Cp.Gly1202ArgLPPP3, PM2FSGSAlive/ESRD
96/FCOL4A4/ARNoMissense/HomozygousExon 45, Chr2:g227012226C>T c.4288G>Ap.Gly1430ArgLPPP3, PM2FSGSAlive/ESRD
109/MNPHS2NoMissense/HeterozygousExon 7, chr1:g.179552604C>T c.872G>Ap.Arg291GlnLPPM2, PM5FSGSAlive/CR
1117/MCOL4A4YesMissense/compound heterozygousExon 39, chr2:227896932 c.3638G>A;p.Gly1213Glu;LPPP3, PM2Not doneAlive/PR
1217/MPAX2/ADNoMissense/HeterozygousExon 3, chr10: 102510464, c.226G>Ap.Gly76SerPPS4, PP1MCDAlive/PR
1317/FLMX1BNoMissense/HeterozygousExon 4, chr9:129455529, c.668G>Ap.Arg223GlnPPS3, PP3FSGSAlive/PR
1417/MCOL4A5/XRYesSplice site/HemizygousExon 24, chrX:107840799PPVS1, PMNot doneAlive/ESRD
154/MCOQ2NoFrameshift/HeterozygousExon 1, chr4:84206019, c.48dupCp.Ala17fsPPS4, PVSNot doneAlive/CR
1616/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD
1717/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD (RTR)
182/FNPHS1/ARNoMissense/Double heterozygousExon 9, chr19:36339610, c.1099C>Tp.Arg367CysPPM3, PS3Not doneAlive/CR
1916/MLMX1B/ADYesMissense/heterozygousExon 8 , chr9:129458594, c.1085A>Gp.Asp362GlyLPPM2, PP3FSGSAlive/ESRD
208/MCOL4A5/XRYesFrameshift deletion/HemizygousP MCDAlive/PR
2116/MCOL4A5/XRYesFrameshift deletion/HemizygousPFSGSAlive/ESRD
2212/MCOL4A5/XRYesFrameshift deletion/HemizygousP FSGSAlive/CR
231.5/FCOL4A5/XRNoMissense/hemizygousExon 38, ChrX:g.108457183G>C c.3604G>CLP MCDAlive/PR
S. NumberAge at onset/genderGene in which variant detected/inheritance patternClinical details (syndromic/non-syndromic) presentationType of mutation/zygosityVariant descriptionAmino acid changePathogenecityACMG evidence of pathogenecityRenal BiopsyOutcome (patient/renal)
19/MBBS12/ARBardet Biedl SyndromeMissense/Homozygouschr4:123663297G>Ap.Gly84ArgLPPM3, PP3Not doneAlive/PR
217/FLMX1B/ADNail Patella SyndromeMissense/Compound heterozygouschr9:129455566, c.705G>Cp.Leu226Arg; p.Lys235AsnLPPP3, PM2Alive/PR
36/MCOL4A4/ARNoFrameshift/HeterozygousExon 30/chr2:227920745p.Pro878fsLPPVS1, PMAlive/PR
416/MCOL4A3/ADYesSplice site/Heterozygoussplicesite_3:c.547–1delGLPPVS1, PMFSGSAlive/PR
517/MCOL4A5/XRYesNonsense/HemizygousExon 1,chrX:g108440189C>T, c.64C>Tp.Gln22TerLPPVS1, PMNot doneAlive/NR
617/MCOL4A5/XRYesFrameshift deletion/HemizygousExon 36,chrX:10786989, c.3158delCp.Pro1053LeufsTer99LPPVS1, PMAlive/PR
713/MCOL4A5/XRNoMissense/HemizygousExon 29, chrX:g.108606874G>A, c.2377G>Ap.Gly793ArgLPPP3, PM2FSGSAlive/PR
88/MCOL4A5/XRNoMissense/HemizygousExon 40, ChrX:g.108667183G>C c.3604G>Cp.Gly1202ArgLPPP3, PM2FSGSAlive/ESRD
96/FCOL4A4/ARNoMissense/HomozygousExon 45, Chr2:g227012226C>T c.4288G>Ap.Gly1430ArgLPPP3, PM2FSGSAlive/ESRD
109/MNPHS2NoMissense/HeterozygousExon 7, chr1:g.179552604C>T c.872G>Ap.Arg291GlnLPPM2, PM5FSGSAlive/CR
1117/MCOL4A4YesMissense/compound heterozygousExon 39, chr2:227896932 c.3638G>A;p.Gly1213Glu;LPPP3, PM2Not doneAlive/PR
1217/MPAX2/ADNoMissense/HeterozygousExon 3, chr10: 102510464, c.226G>Ap.Gly76SerPPS4, PP1MCDAlive/PR
1317/FLMX1BNoMissense/HeterozygousExon 4, chr9:129455529, c.668G>Ap.Arg223GlnPPS3, PP3FSGSAlive/PR
1417/MCOL4A5/XRYesSplice site/HemizygousExon 24, chrX:107840799PPVS1, PMNot doneAlive/ESRD
154/MCOQ2NoFrameshift/HeterozygousExon 1, chr4:84206019, c.48dupCp.Ala17fsPPS4, PVSNot doneAlive/CR
1616/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD
1717/MCOL4A3YesStop gain/HomozygousExon 51, chr2:228175548, c.4812C>Ap.Cys1604PPM3, PVSNot doneAlive/ESRD (RTR)
182/FNPHS1/ARNoMissense/Double heterozygousExon 9, chr19:36339610, c.1099C>Tp.Arg367CysPPM3, PS3Not doneAlive/CR
1916/MLMX1B/ADYesMissense/heterozygousExon 8 , chr9:129458594, c.1085A>Gp.Asp362GlyLPPM2, PP3FSGSAlive/ESRD
208/MCOL4A5/XRYesFrameshift deletion/HemizygousP MCDAlive/PR
2116/MCOL4A5/XRYesFrameshift deletion/HemizygousPFSGSAlive/ESRD
2212/MCOL4A5/XRYesFrameshift deletion/HemizygousP FSGSAlive/CR
231.5/FCOL4A5/XRNoMissense/hemizygousExon 38, ChrX:g.108457183G>C c.3604G>CLP MCDAlive/PR

Homozygous or hemizygous variants in COL4A3/4/5 genes (‘The Alport sub-cohort’)

The most common genetic variant detected in our cohort was in the COL4A genes. Twenty of the 62 (32.3%) with reportable variants were positive for COL4A-related genes (five in COL4A3, five in COL4A4, 10 in COL4A5). On variant calling, six had pathogenic, nine LP, and five VUS (Table 2 and Supplementary Table S1). The mean age in this sub-cohort was 10.05 (±5.8) years, and 15 (75%) were males, five (25%) had initial steroid responsiveness and developed late steroid resistance, 10 (50%) had developed other syndromic features suggestive of Alport syndrome during subsequent follow-up, while the remaining 50% did not develop any such features, which may be because of shorter follow-up of the cohort.

Renal biopsy in patients with steroid-resistant nephrotic syndrome

Renal biopsy was performed in 67 (69.2%) patients. Among them, FSGS was noted in 39 (40.6%) while MCD in 26 (27.1%). In patients with pathogenic or LP genetic variants, FSGS was seen in 13 (56.5%) and was more frequent than MCD, seen in 8.7% (Table 3).

Table 3:

Renal biopsy, immunosuppression use, renal, and patient outcomes of patients with SRNS.

Characteristics, n (%)Total (n = 96)Genetic variant detected (P/LP) (n = 23)Genetic variant detected (VUS/LB) (n = 39)No genetic variant identified (n = 34)P value
Renal biopsy performed67 (69.2)15 (65.2)25 (64.1)27 (79.4)
Renal biopsy pattern
 Minimal change disease26 (27.1)2 (8.7)12 (30.8)12 (35.3)
 FSGS39 (40.6)13 (56.5)11 (28.2)15 (44.1)
 Others1 (1.04)01 (2.6)0
Second-line immunosuppression
 Cyclosporine16 (16.6)4 (17.3)5 (12.8)7 (20.6)
 Tacrolimus45 (46.9)6 (26.1)16 (41)11 (67.6)
 MMF11 (11.4)06 (15.4)5 (14.7)
 Cyclophosphamide10 (10.4)1 (4.3)3 (7.6)6 (17.6)
 Levamisole10 (10.4)1 (4.3)4 (10.3)5 (14.7)
 Rituximab10 (10.4)06 (15.4)4 (11.8)
Renal outcome at end of follow-up
 Partial remission53 (55.2)14 (60.9)19 (48.7)20 (58.8).565
 Complete remission17 (17.8)3 (13)11 (28.2)3 (8.8).07
 No response/progressive renal failure23 (24)6 (26.1)7 (17.9)10 (29.4).668
Patient outcome at the end of follow-up
 Mortality3 (3.1)02 (5.1)1 (2.9)0.532
Characteristics, n (%)Total (n = 96)Genetic variant detected (P/LP) (n = 23)Genetic variant detected (VUS/LB) (n = 39)No genetic variant identified (n = 34)P value
Renal biopsy performed67 (69.2)15 (65.2)25 (64.1)27 (79.4)
Renal biopsy pattern
 Minimal change disease26 (27.1)2 (8.7)12 (30.8)12 (35.3)
 FSGS39 (40.6)13 (56.5)11 (28.2)15 (44.1)
 Others1 (1.04)01 (2.6)0
Second-line immunosuppression
 Cyclosporine16 (16.6)4 (17.3)5 (12.8)7 (20.6)
 Tacrolimus45 (46.9)6 (26.1)16 (41)11 (67.6)
 MMF11 (11.4)06 (15.4)5 (14.7)
 Cyclophosphamide10 (10.4)1 (4.3)3 (7.6)6 (17.6)
 Levamisole10 (10.4)1 (4.3)4 (10.3)5 (14.7)
 Rituximab10 (10.4)06 (15.4)4 (11.8)
Renal outcome at end of follow-up
 Partial remission53 (55.2)14 (60.9)19 (48.7)20 (58.8).565
 Complete remission17 (17.8)3 (13)11 (28.2)3 (8.8).07
 No response/progressive renal failure23 (24)6 (26.1)7 (17.9)10 (29.4).668
Patient outcome at the end of follow-up
 Mortality3 (3.1)02 (5.1)1 (2.9)0.532
Table 3:

Renal biopsy, immunosuppression use, renal, and patient outcomes of patients with SRNS.

Characteristics, n (%)Total (n = 96)Genetic variant detected (P/LP) (n = 23)Genetic variant detected (VUS/LB) (n = 39)No genetic variant identified (n = 34)P value
Renal biopsy performed67 (69.2)15 (65.2)25 (64.1)27 (79.4)
Renal biopsy pattern
 Minimal change disease26 (27.1)2 (8.7)12 (30.8)12 (35.3)
 FSGS39 (40.6)13 (56.5)11 (28.2)15 (44.1)
 Others1 (1.04)01 (2.6)0
Second-line immunosuppression
 Cyclosporine16 (16.6)4 (17.3)5 (12.8)7 (20.6)
 Tacrolimus45 (46.9)6 (26.1)16 (41)11 (67.6)
 MMF11 (11.4)06 (15.4)5 (14.7)
 Cyclophosphamide10 (10.4)1 (4.3)3 (7.6)6 (17.6)
 Levamisole10 (10.4)1 (4.3)4 (10.3)5 (14.7)
 Rituximab10 (10.4)06 (15.4)4 (11.8)
Renal outcome at end of follow-up
 Partial remission53 (55.2)14 (60.9)19 (48.7)20 (58.8).565
 Complete remission17 (17.8)3 (13)11 (28.2)3 (8.8).07
 No response/progressive renal failure23 (24)6 (26.1)7 (17.9)10 (29.4).668
Patient outcome at the end of follow-up
 Mortality3 (3.1)02 (5.1)1 (2.9)0.532
Characteristics, n (%)Total (n = 96)Genetic variant detected (P/LP) (n = 23)Genetic variant detected (VUS/LB) (n = 39)No genetic variant identified (n = 34)P value
Renal biopsy performed67 (69.2)15 (65.2)25 (64.1)27 (79.4)
Renal biopsy pattern
 Minimal change disease26 (27.1)2 (8.7)12 (30.8)12 (35.3)
 FSGS39 (40.6)13 (56.5)11 (28.2)15 (44.1)
 Others1 (1.04)01 (2.6)0
Second-line immunosuppression
 Cyclosporine16 (16.6)4 (17.3)5 (12.8)7 (20.6)
 Tacrolimus45 (46.9)6 (26.1)16 (41)11 (67.6)
 MMF11 (11.4)06 (15.4)5 (14.7)
 Cyclophosphamide10 (10.4)1 (4.3)3 (7.6)6 (17.6)
 Levamisole10 (10.4)1 (4.3)4 (10.3)5 (14.7)
 Rituximab10 (10.4)06 (15.4)4 (11.8)
Renal outcome at end of follow-up
 Partial remission53 (55.2)14 (60.9)19 (48.7)20 (58.8).565
 Complete remission17 (17.8)3 (13)11 (28.2)3 (8.8).07
 No response/progressive renal failure23 (24)6 (26.1)7 (17.9)10 (29.4).668
Patient outcome at the end of follow-up
 Mortality3 (3.1)02 (5.1)1 (2.9)0.532

Second-line immunosuppression use and response to calcineurin inhibitors and experience with specific therapy

Clinicians exercised discretion in administering second-line immunosuppressants to patients with SRNS. Notably, documentation accounted for patients who had previously received these agents before genetic testing or when they presented to our facility. Importantly, some patients received multiple immunosuppressive agents. The use of second-line immunosuppressive therapy is shown in Table 4 for all three groups.

Table 4:

Clinicopathological profile of patients with pathogenic/LP variant and response to calcineurin inhibitors.

S. NumberAge at onset/genderGenetic variantRenal biopsySpot UPCa (g/g)Serum albumina (g/dl)ACEi/ARBCNI agent usedCR/PRTime to first response (months)Duration of CNI use (months)
11.5/MCOL4A4 (LP)Not done5.11.6YesTacPR424a
213/MCOL4A5 (LP)FSGS7.52.0YesTacPR313a
32/MNPHS2 (LP)FSGS111.7YesTacCR224a
417/MPAX2 (LP)MCD8.22.0YesCycPR811a
517/FLMX1B (P)FSGS4.72.6NoTacPR330a
62/FNPHS1 (P)Not done3.82.7YesTacCR4.526a
712/MCOL4A5 (P)FSGS5.72.5NoTacPR312a
S. NumberAge at onset/genderGenetic variantRenal biopsySpot UPCa (g/g)Serum albumina (g/dl)ACEi/ARBCNI agent usedCR/PRTime to first response (months)Duration of CNI use (months)
11.5/MCOL4A4 (LP)Not done5.11.6YesTacPR424a
213/MCOL4A5 (LP)FSGS7.52.0YesTacPR313a
32/MNPHS2 (LP)FSGS111.7YesTacCR224a
417/MPAX2 (LP)MCD8.22.0YesCycPR811a
517/FLMX1B (P)FSGS4.72.6NoTacPR330a
62/FNPHS1 (P)Not done3.82.7YesTacCR4.526a
712/MCOL4A5 (P)FSGS5.72.5NoTacPR312a

M, male; F, female; UPCR, urinary spot protein creatinine ratio; Tac, tacrolimus; Cyc, cyclosporine; ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blockade; CR, complete response; PR, partial response.

‘duration’ indicates the duration of CNI usage since the last follow-up.

aThe ongoing usage of the CNI at the last follow-up.

Table 4:

Clinicopathological profile of patients with pathogenic/LP variant and response to calcineurin inhibitors.

S. NumberAge at onset/genderGenetic variantRenal biopsySpot UPCa (g/g)Serum albumina (g/dl)ACEi/ARBCNI agent usedCR/PRTime to first response (months)Duration of CNI use (months)
11.5/MCOL4A4 (LP)Not done5.11.6YesTacPR424a
213/MCOL4A5 (LP)FSGS7.52.0YesTacPR313a
32/MNPHS2 (LP)FSGS111.7YesTacCR224a
417/MPAX2 (LP)MCD8.22.0YesCycPR811a
517/FLMX1B (P)FSGS4.72.6NoTacPR330a
62/FNPHS1 (P)Not done3.82.7YesTacCR4.526a
712/MCOL4A5 (P)FSGS5.72.5NoTacPR312a
S. NumberAge at onset/genderGenetic variantRenal biopsySpot UPCa (g/g)Serum albumina (g/dl)ACEi/ARBCNI agent usedCR/PRTime to first response (months)Duration of CNI use (months)
11.5/MCOL4A4 (LP)Not done5.11.6YesTacPR424a
213/MCOL4A5 (LP)FSGS7.52.0YesTacPR313a
32/MNPHS2 (LP)FSGS111.7YesTacCR224a
417/MPAX2 (LP)MCD8.22.0YesCycPR811a
517/FLMX1B (P)FSGS4.72.6NoTacPR330a
62/FNPHS1 (P)Not done3.82.7YesTacCR4.526a
712/MCOL4A5 (P)FSGS5.72.5NoTacPR312a

M, male; F, female; UPCR, urinary spot protein creatinine ratio; Tac, tacrolimus; Cyc, cyclosporine; ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blockade; CR, complete response; PR, partial response.

‘duration’ indicates the duration of CNI usage since the last follow-up.

aThe ongoing usage of the CNI at the last follow-up.

Among the 23 patients with pathogenic or LP genetic variants, 10 had received further immunosuppression with calcineurin inhibitors (CNI), either cyclosporine or tacrolimus. Of these, two patients achieved CR and five patients achieved PR. The genetic variants associated with CR were NPHS1 and NPHS2, while those associated with PR were LMX1B, COL4A5, COL4A4, and PAX2. Notably, except for two patients, all were on ACE inhibitors (ACEi) or angiotensin receptor blockers (ARB), and all were on low-dose steroids (Table 4).

Patient and renal outcomes

Of all the 96 patients, CR and PR were achieved in 55.2% and 17.8%, respectively, while 24% had no response and/or progressive renal failure. Among those with a pathogenic/LP variant, CR and PR were achieved in 13% and 60.9%, respectively, while 26.1% had no response (Table 3).

Three patients died at the end of the median follow-up of 27 months: two in the VUS/LB group and one in the ‘no detected variant’ group. The cause of death was due to infections in all three, and two of them had ESKD.

In the ‘Alport sub-cohort’, at the end of follow-up, five (25%) developed ESRD, one had no response, while one and 12 patients achieved CR and PR, respectively, with supportive care.

DISCUSSION

In this study, we observed a differing pattern of monogenic mutations responsible for the SRNS compared to the conventionally reported from Western literature. We observed that collagen gene mutation COL 4–3/4/5 mutations in a higher proportion of SRNS patients. The clinical presentation of COL 4 mutation as the NS is uncommon. The gene encoding podocin, NPHS2, has been traditionally identified as a significant contributor to SRNS and is the most common monogenic cause of SRNS in European and North American cohorts [18]. Our study corroborated the infrequent occurrence of podocin gene involvement; only three out of 96 within our cohort had this genetic mutation, and in two of them, it was either pathogenic or LP. The observation was aligned with other Indian studies from the eastern part of India by Sinha et al., where COL4A variants were identified as the predominant mutations leading to SRNS [10]. Our cohort found a higher prevalence of monogenic genetic variants (64.58%) in SRNS patients than that of 10%–35% reported in other studies [19, 20]. The reason for the higher prevalence may be mainly because of the selective referral of difficult-to-treat NS patients to this tertiary care institute. The other possible reason could be the higher incidence (16% of those with a genetic variant) of consanguineous marriage among the parents and founder mutation in the studied population.

Genetic mutations

The findings of our study shed light on the genetic landscape of paediatric patients with SRNS, providing valuable insights into the prevalence, spectrum, and clinical implications of genetic variants in this population. First, our study revealed a significant proportion of paediatric SRNS patients harbouring reportable genetic variants, with 64.56% of participants exhibiting one of such variants. This underscores the importance of genetic analysis in the diagnostic workup of SRNS, as genetic factors play a pivotal role in the pathogenesis of the disease [13]. Our findings are consistent with previous studies highlighting the genetic heterogeneity of SRNS and the diversity of underlying genetic mutations contributing to its aetiology [7, 21].

Immunosuppression

The KDIGO and IPNA guidelines [13, 22] recommend discontinuing immunosuppression for individuals with the monogenic form of SRNS. Nonetheless, a growing body of evidence suggests a positive response to CNI treatment, as observed in a study by Malakasioti et al. [23]. However, no specific mutation consistently demonstrated responsiveness to CNIs. In this context, a possible mechanism of CNI action is podocyte cytoskeletal stabilization [24]. CNI decreases IL-2 and IL-4, inhibiting the activation of a nuclear factor of an activated T cell (NFAT), a substrate of calcineurin (CN) in T cells [25]. Besides immunosuppressive effects, CNI has a direct effect on podocytes. CNI ameliorates podocyte injury by preventing the dephosphorylation of synaptopodin and stabilizes the podocyte cytoskeleton by upregulating the expression of cofilin, which was independent of its effect on synaptopodin [26].

Although genetic variant identification does not always indicate the stoppage of immunosuppressive therapy, one can expect a higher nonresponse rate in those with positive genetic variants. There is a need to balance the immunosuppression and the side effects of the drug. The varied genetic profile of the SRNS children in our cohort can pave the way for future research using other drugs for proteinuria reduction, and a widespread population-based study can further add to the knowledge regarding the same.

Further exploration of biomarkers indicative of CNI response in monogenic SRNS patients warrants comprehensive investigation. Considering that patients lack evident syndromic features or existing contraindications to these medications, a trial of CNIs might be considered feasible. Larger studies to address this question more comprehensively are needed to assess the potential utility of CNIs in this patient subset.

Outcomes

The Western and Indian literature reports a higher incidence of ESRD and nonresponse in patients with monogenic SRNS. We found that patients with monogenic and idiopathic forms of SRNS had similar outcomes. The possible reasons could be, first, due to the short duration of follow-ups of the present cohort; second, because of the differing frequency of genetic mutations from the Western studies; and third, our study sheds light on the fact that COL4A genes could be the most common forms of monogenic SRNS, as also reported from other Indian studies [9, 10]. It has been well identified that Alport kidney diseases need not always present with classic Alport syndrome(AS), and they may well with SRNS, and in this specific subgroup, renal failure may be slowly progressive to develop ESKD on longer follow-up; however, it is not universal [27, 28]. It is possible that many non-genetic forms of SRNS may respond to more prolonged treatment and may achieve remission [4, 5].

The most devastating diseases for patients and their families are those for which clinicians have no definite treatment available except for conservative care. After all, monogenic SRNS may not be a single disease, and an optimized trial of CNI combined with RAAS blockers may offer hope for at least some of these patients.

Strength and limitations

This study represents the largest single-centre investigation conducted in India, focusing on genetic variants identified in children with SRNS. The data collected prospectively underwent thorough examination by distinct medical geneticists, enhancing the reliability and robustness of variant calling. Nonetheless, our study is not without limitations, and we acknowledge that not all SRNS patients could be tested because logistics, consent for genetic testing, and financial constraints were factors in deciding whether to perform genetic testing and renal biopsy. The parents were not tested to determine the inheritance. This is unlikely to have influenced the results of this study because >80% of the patients had undergone genetic analysis. The pathogenicity of the variant observed could not be fully ascertained because the laboratory required samples from parents for genetic analysis. This could not be done due to cost limitations.

CONCLUSION

We present the most extensive genetic analysis data on SRNS in children, collected within a single centre. Our findings reveal a notable 64.56% incidence of monogenic causes, with 23.95% of cases exhibiting pathogenic or LP mutations. Specifically, our findings highlight the significant occurrence of COL4A variants leading to monogenic SRNS and unveil diverse phenotypic manifestations associated with these genetic mutations, which are not exclusively linked to Alport syndrome, and many such patients may develop clinical manifestations on extended follow-up.

Contrary to prevailing guidelines, our observations suggest the potential efficacy of a CNI in certain forms of monogenic SRNS, indicating promising clinical responses. However, larger-scale, multicentre studies with extended follow-up periods are essential to grasp these findings comprehensively.

ACKNOWLEDGEMENTS

The authors acknowledge the nursing staff, Medgenome Labs Pvt Ltd and Lalpath Labs Pvt Ltd, for their contribution to the study and their cooperation.

DATA AVAILABILITY STATEMENT

The data associated with the study is available with the corresponding authors. However, they cannot be made public because of ethical issues and institute policy.

CONFLICT OF INTEREST STATEMENT

None declared.

REFERENCES

1.

Kim
 
JS
,
Bellew
 
CA
,
Silverstein
 
DM
 et al.  
High incidence of initial and late steroid resistance in childhood nephrotic syndrome
.
Kidney Int
 
2005
;
68
:
1275
81
.

2.

Banaszak
 
B
,
Banaszak
 
P.
 
The increasing incidence of initial steroid resistance in childhood nephrotic syndrome
.
Pediatr Nephrol
 
2012
;
27
:
927
32
.

3.

Lee
 
JM
,
Kronbichler
 
A
,
Shin
 
JI
 et al.  
Current understandings in treating children with steroid-resistant nephrotic syndrome
.
Pediatr Nephrol
 
2021
;
36
:
747
61
.

4.

Zagury
 
A
,
de Oliveira
 
AL
,
Montalvão
 
JAA
 et al.  
Steroid-resistant idiopathic nephrotic syndrome in children: long-term follow-up and risk factors for end-stage renal disease
.
J Bras Nefrol
 
2013
;
35
:
191
9
.

5.

Mekahli
 
D
,
Liutkus
 
A
,
Ranchin
 
B
 et al.  
Long-term outcome of idiopathic steroid-resistant nephrotic syndrome: a multicenter study
.
Pediatr Nephrol
 
2009
;
24
:
1525
32
.

6.

Jiao
 
J
,
Wang
 
L
,
Ni
 
F
 et al.  
Whole-exome sequencing of a multicenter cohort identifies genetic changes associated with clinical phenotypes in pediatric nephrotic syndrome
.
Genes Dis
 
2022
;
9
:
1662
73
.

7.

Trautmann
 
A
,
Bodria
 
M
,
Ozaltin
 
F
 et al.  
Spectrum of steroid-resistant and congenital nephrotic syndrome in children: the PodoNet registry cohort
.
Clin J Am Soc Nephrol
 
2015
;
10
:
592
600
.

8.

Chanchlani
 
R
,
Parekh
 
RS
.
Ethnic differences in childhood nephrotic syndrome
.
Front Pediatr
 
2016
;
4
:
39
.

9.

Siji
 
A
,
Karthik
 
KN
,
Pardeshi
 
VC
 et al.  
Targeted gene panel for genetic testing of south Indian children with steroid resistant nephrotic syndrome
.
BMC Med Genet
 
2018
;
19
:
200
.

10.

Sinha
 
R
,
Ray Chaudhury
 
A
,
Sarkar
 
S
 et al.  
High incidence of COL4A genetic variants among a cohort of children with steroid-resistant nephrotic syndrome From Eastern India
.
Kidney Int Rep
 
2022
;
7
:
913
5
.

11.

Trautmann
 
A
,
Schnaidt
 
S
,
Lipska-Ziętkiewicz
 
BS
 et al.  
Long-term outcome of steroid-resistant nephrotic syndrome in children
.
JASN
 
2017
;
28
:
3055
65
.

12.

Vasudevan
 
A
,
Thergaonkar
 
R
,
Mantan
 
M
 et al.  
Consensus guidelines on management of steroid-resistant nephrotic syndrome
.
Indian Pediatr
 
2021
;
58
:
650
66
.

13.

Rovin
 
BH
,
Adler
 
SG
,
Barratt
 
J
 et al.  
KDIGO 2021 Clinical Practice Guideline for the management of glomerular diseases
.
Kidney Int
 
2021
;
100
:
S1
S276
.

14.

Tullus
 
K
,
Webb
 
H
,
Bagga
 
A
.
Management of steroid-resistant nephrotic syndrome in children and adolescents
.
Lancet Child Adolesc Health
 
2018
;
2
:
880
90
.

15.

Muhari-Stark
 
E
,
Burckart
 
GJ
.
Glomerular filtration rate estimation formulas for pediatric and neonatal use
.
J Pediatr Pharmacol Ther
 
2018
;
23
:
424
31
.

16.

Hallan
 
SI
,
Orth
 
SR
.
The KDOQI 2002 classification of chronic kidney disease: for whom the bell tolls
.
Nephrol Dial Transplant
 
2010
;
25
:
2832
6
.

17.

Richards
 
S
,
Aziz
 
N
,
Bale
 
S
 et al.  
Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology
.
Genet Med
 
2015
;
17
:
405
24
.

18.

Bierzynska
 
A
,
McCarthy
 
HJ
,
Soderquest
 
K
 et al.  
Genomic and clinical profiling of a national nephrotic syndrome cohort advocates a precision medicine approach to disease management
.
Kidney Int
 
2017
;
91
:
937
47
.

19.

Preston
 
R.
,
Stuart
 
HM
,
Lennon
 
R
.
Genetic testing in steroid-resistant nephrotic syndrome: why, who, when and how?
 
Pediatr Nephrol
 
2019
;
34
:
195
210
.

20.

Varner
 
JD
,
Chryst-Stangl
 
M
,
Esezobor
 
CI
 et al.  
Genetic testing for steroid-resistant-nephrotic syndrome in an outbred population
.
Front. Pediatr
 
2018
;
6
:
307
.

21.

Weber
 
S
,
Gribouval
 
O
,
Esquivel
 
EL
 et al.  
NPHS2 mutation analysis shows genetic heterogeneity of steroid-resistant nephrotic syndrome and lowpost-transplant recurrence
.
Kidney Int
 
2004
;
66
:
571
9
.

22.

Trautmann
 
A
,
Vivarelli
 
M
,
Samuel
 
S
 et al.  
IPNA clinical practice recommendations for the diagnosis and management of children with steroid-resistant nephrotic syndrome
.
Pediatr Nephrol
 
2020
;
35
:
1529
61
.

23.

Lane
 
BM
,
Gbadegesin
 
RA.
 
The case for treatment of monogenic SRNS with calcineurin inhibitors
.
Kidney Int
 
2023
;
103
:
839
41
.

24.

Wakamatsu
 
A
,
Fukusumi
 
Y
,
Hasegawa
 
E
 et al.  
Role of calcineurin (CN) in kidney glomerular podocyte: CN inhibitor ameliorated proteinuria by inhibiting the redistribution of CN at the slit diaphragm
.
Physiol Rep
 
2016
;
4
:
e12679
.

25.

Shin
 
S-Y
,
Kim
 
M-W
,
Cho
 
K-H
 et al.  
Coupled feedback regulation of nuclear factor of activated T-cells (NFAT) modulates activation-induced cell death of T cells
.
Sci Rep
 
2019
;
9
:
10637
.

26.

Faul
 
C
,
Donnelly
 
M
,
Merscher-Gomez
 
S
 et al.  
The actin cytoskeleton of kidney podocytes is a direct target of the antiproteinuric effect of cyclosporine A
.
Nat Med
 
2008
;
14
:
931
8
.

27.

Puapatanakul
 
P
,
Miner
 
JH
.
Alport syndrome and Alport kidney diseases—elucidating the disease spectrum
.
Curr Opin Nephrol Hypertens
 
2024
;
33
:
283
.

28.

Gast
 
C
,
Pengelly
 
RJ
,
Lyon
 
M
 et al.  
Collagen (COL4A) mutations are the most frequent mutations underlying adult focal segmental glomerulosclerosis
.
Nephrol Dial Transplant
 
2016
;
31
:
961
70
.

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