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Record W4409059170 · doi:10.34067/kid.0000000787

Clinical Significance of Immune Deposits and Complement System Activation in FSGS

2025· article· en· W4409059170 on OpenAlexaff
Yaşar Çalışkan, Virginie Royal, Stéphan Troyanov, Arnaud Bonnefoy, Clémence Merlen, Mark A. Schnitzler, John C. Edwards, Krista L. Lentine, Louis‐Philippe Laurin

Bibliographic record

VenueKidney360 · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineHôpital du Sacré-Cœur de MontréalUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMedicineFocal segmental glomerulosclerosisKidney diseaseProteinuriaGlomerulopathyPathologyGlomerulosclerosisCreatinineInternal medicineCohortGastroenterologyUrologyKidney

Abstract

fetched live from OpenAlex

Key Points Complement activation plays a critical role in FSGS pathogenesis and progression. The urine soluble C5b9 protein ratio is emerging as a significant biomarker for FSGS progression. Targeting complement pathways and monitoring urinary soluble C5b9 levels may improve risk stratification and therapeutic approaches in FSGS. Background The interplay between complement activation and the immune response in FSGS warrants further investigation. We investigated the association of glomerular C3 and IgM immunostaining with FSGS disease activity, complement system activation, chronicity on kidney biopsy, and initial and follow-up clinical data in the Cure Glomerulonephropathy Network FSGS cohort. Methods Data for patients with FSGS with available pathology assessment from the Cure Glomerulonephropathy Network cohort were reviewed. We tested associations between glomerular immunoglobulins and C3 staining intensity by immunofluorescence with the Columbia classification, the urinary membrane attack complex (soluble C5b9 [sC5b9]) level, proteinuria, and time to a composite outcome, defined by ESKD or a 40% decline in eGFR. Urinary sC5b9 levels, expressed as ratios to creatinine (sC5b9-to-creatinine ratio) and to protein (urine sC5b9-to-creatinine ratio-to-protein ratio [C5b9uPR]), were also examined. Results The study cohort comprised 175 patients with FSGS, including 63 (36%) incident subjects enrolled within 6 months of pathology review. Glomerular IgM, C3, and IgG deposits were found in 88 (50%), 48 (27.4%), and 27 (15.4%) patients, respectively. C3 deposition was correlated with global sclerosis ( r =0.27, P < 0.001), tubular microcystic changes ( r =0.19, P < 0.01), interstitial fibrosis (IF) tubular atrophy ( r =0.17, P = 0.03), interstitial inflammation ( r =0.17, P = 0.03), and tip lesion ( r =-0.16, P = 0.04). In incident patients, C5b9uPR correlated with total segmental sclerosis ( r =0.35, P < 0.01), IF ( r =0.33, P = 0.01), IF tubular atrophy ( r =0.35, P < 0.01), and interstitial inflammation ( r =0.29, P = 0.03). Only C5b9uPR (hazard ratio, 1.64 [95% confidence interval, 1.03 to 2.60; P = 0.03]) and age at enrollment (hazard ratio, 1.01 [95% confidence interval, 1.00 to 1.03; P = 0.02]) were significantly associated with the composite outcome in the adjusted Cox survival models. Conclusions C5b9uPR is emerging as a significant biomarker for FSGS progression, reflecting the complex interplay between complement activation, inflammation, and kidney injury. The evidence suggests that elevated C5b9uPR levels are associated with poor kidney outcomes and may serve as a valuable tool in the noninvasive assessment of kidney fibrosis and disease progression.

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 score0.005

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 studies0.0000.001
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 head0.019
GPT teacher head0.328
Teacher spread0.309 · 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".

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Citations7
Published2025
Admission routes1
Has abstractyes

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