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Record W4410548594 · doi:10.1093/ndt/gfaf086

Genotype–phenotype correlations and clinical outcomes of genetic <i>TRPC6</i> podocytopathies

2025· article· en· W4410548594 on OpenAlexaff
Susan McAnallen, Elhussein A. Elhassan, Sinéad Stoneman, Filippo Pinto e Vairo, Marie C. Hogan, Julia Hoefele, Michelle Clince, Poemlarp Mekraksakit, Silvia Titan, Sofía Jorge, Joaquim Calado, Stéphane Decramer, Éloïse Colliou, Stéphanie Tellier, Telma Francisco, Aude Servais, Joséphine Cornet, Jonathan de Fallois, Claire Dossier, Roberta Fenoglio, Alessandra Renieri, Anna Maria Pinto, Sergio Daga, Lorenzo Loberti, Marc Fila, Luís F. Quintana, Francesca Becherucci, Nathalie Guarnizo, Dubrasquet Astrid, B Alawi, Clodagh Sweeney, Michael Riordan, Maria Stack, Atif Awan, Ng Kar Hui, Hugh J. McCarthy, Erik Biroš, Trudie Harris, Kendrah Kidd, Stefanie Haeberle, Anthony J. Bleyer, Andrew Mallett, John A. Sayer, Franz Schäfer, Katherine A. Benson, Emma McCann, Peter J. Conlon

Bibliographic record

VenueNephrology Dialysis Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity of British Columbia
FundersMusculoskeletal Research Center, Washington University in St. LouisRoyal College of Physicians of IrelandNorthern Counties Kidney Research Fund
KeywordsMedicineFocal segmental glomerulosclerosisKidney diseaseTRPC6Internal medicineInterquartile rangeRenal functionHazard ratioCohortNephrotic syndromeOncologyKidneyGlomerulonephritis

Abstract

fetched live from OpenAlex

BACKGROUND AND HYPOTHESIS: Podocytopathy associated with likely pathogenic/pathogenic variants of Transient receptor potential cation channel subfamily C member 6 (TRPC6) (TRPC6-AP) has been recognized for about 20 years. As a result of its rarity however, the spectrum of clinical phenotypes and genotype-phenotype correlation of TRPC6-AP remains poorly understood. Here, we characterized clinical, histological and genetic correlates of familial and sporadic patients with TRPC6-AP. METHODS: In this multicentre observational study, an online questionnaire followed by a systematic literature review was performed to create a cohort with comprehensive data on genetic and clinical outcomes [age of onset, clinical presentation, treatment response, kidney biopsy findings and progression to kidney failure (KF)]. Logistic regression, Cox proportional hazards model and Kaplan-Meier analyses investigated the associations between genetic variants and disease progression. RESULTS: Among 87 families (96 familial and 45 sporadic cases), 31 distinct missense TRPC6 variants (including 2 novel) were identified, with c.2683C>T p.(Arg895Cys) and c.523C>T p.(Arg175Trp) the commonest variants. Proteinuric kidney disease/nephrotic syndrome was the most common clinical presentation (83.7%), while focal segmental glomerulosclerosis was the most common histological finding (89.4%). By 33 (interquartile range 17-40) years, 48.9% (69/141) of patients had progressed to KF. Sporadic TRPC6-AP demonstrated an earlier progression to KF than familial cases (P = .001) and were more likely to present with nephrotic syndrome [odds ratio 4.34 (1.85-10.15); P = .001]. Gain-of-function TRPC6 variants were more frequent in familial than sporadic TRPC6-AP (70.8% vs 44.4%; P = .004). Compared with patients with other TRPC6 variants, patients with TRPC6 p.R175W and p.R895C variants progressed to KF earlier [median kidney survival of 21 years, hazard ratio 2.985 (95% confidence interval 1.40-5.79); and 38 years, hazard ratio 1.65 (95% confidence interval 1.01-2.81), respectively, log-rank P = .005]. CONCLUSION: Our study shows unique clinical and genetic correlations of TRPC6-AP, which may enable personalized care and promising novel therapies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.296
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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