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Record W4415476105 · doi:10.1681/asn.2025r6hkeyqz

Unraveling the Lectin Complement Pathway Dynamics in Childhood IgAN

2025· article· en· W4415476105 on OpenAlexaff
Srishti Sahu, Kévin Côté, Lison Lachize Neanne, Amandine Badie, Hélène Mathieu, Diane Leenhardt, Olivia Boyer, Anne‐Laure Lapeyraque, Arnaud Bonnefoy, Cambier Alexandra

Bibliographic record

VenueJournal of the American Society of Nephrology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsLectin pathwayComplement (music)LectinComplement systemDynamics (music)FicolinMannan-binding lectinRenal glomerulus

Abstract

fetched live from OpenAlex

Background: The lectin complement pathway is pivotal in the pathogenesis of IgA nephropathy (IgAN), yet the precise triggers of its activation remain unknown. Collectin11 (C11), a novel initiator of this pathway, has emerged as a focus of recent research. Concurrently, soluble CD89 (sCD89) has been implicated in kidney inflammation among childhood IgAN (cIgAN) patients. For the first time, this study unveils the intricate interplay between sCD89 and C11 as key drivers of lectin pathway activation, culminating in C5b-9 formation and triggering kidney inflammation. Methods: We conducted a prospective study on one of the largest cIgAN cohorts (n=52), alongside 80 controls. Plasma and urinary C11 and soluble C5b-9 (sC5b-9) levels were quantified via ELISA and correlated with biological, histological, and clinical parameters. Kidney biopsies were analyzed for C5b-9 deposition. Human mesangial cells (HMCs) were assessed for C11 expression and secretion via western blotting, immunofluorescence, and ELISA following stimulation with cIgAN plasma or recombinant sCD89 (rsCD89). HPLC and immunoprecipitation identified C11 in circulating immune complexes (CICs). Results: Elevated sC5b-9 levels correlated with proteinuria severity (r=0.558, p<0.005) and reliably predicted glomerulosclerosis (AUC=0.812, p<0.005), surpassing proteinuria. sC5b-9 levels were linked to glomerular inflammation (p<0.005), crescents (p=0.012), and capillary C5b-9 deposition (p=0.008). Plasma C11 levels were significantly higher in cIgAN patients (p<0.0001), contributing to proteinuria (r=0.520, p<0.005), inflammation (p=0.001), glomerulosclerosis (p=0.006), and crescents (p=0.013). Plasma sC5b-9, C11, sCD89, and IgA-CD89 complex levels showed strong positive correlations, indicating their role in cIgAN. For the first time, we identified C11 in CICs and confirmed its expression and secretion by HMCs. Its upregulation was induced by cIgAN plasma and rsCD89 stimulation, with colocalization alongside C3, supporting lectin pathway activation in cIgAN. Conclusion: Plasma sC5b-9 levels above 250 ng/ml predict severe cIgAN, potentially reducing the need for invasive kidney biopsies. The interplay between C11 and sCD89 provides mechanistic insights into complement pathway activation and offers potential for targeted 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)0.001
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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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Citations0
Published2025
Admission routes1
Has abstractyes

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