Evidence map›Paper›PMID 42389194›Full record

ArticleClinical kidney journal2026

Multi-omics triangulation identifies complement factor H as a genetically supported protective factor in IgA nephropathy.

Ningjun Shao, Kuibi Tan, Ping Chen, Qun Luo

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ningjun ShaoDepartment of Nephrology, Ningbo No.2 Hospital, Wenzhou Medical University, Ningbo, Zhejiang Province, China.ORCID https://orcid.org/0009-0006-2550-8726
Kuibi TanDepartment of Nephrology, Ningbo No.2 Hospital, Wenzhou Medical University, Ningbo, Zhejiang Province, China.
Ping ChenDepartment of Nephrology, Ningbo No.2 Hospital, Wenzhou Medical University, Ningbo, Zhejiang Province, China.
Qun LuoDepartment of Nephrology, Ningbo No.2 Hospital, Wenzhou Medical University, Ningbo, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: IgA nephropathy is the most prevalent primary glomerulonephritis globally. Dysregulation of the complement system, specifically the alternative pathway, is a critical driver of its pathogenesis. While genome-wide association studies consistently map a primary susceptibility locus to the complement factor H gene cluster, extensive linkage disequilibrium and complex structural variations have historically obscured precise causal targets. Methods: We employed a multi-omics triangulation framework to evaluate the genetic association and potential protective effects of circulating complement proteins in IgA nephropathy. The analytical pipeline integrated large-scale plasma proteomics, blood-derived expression quantitative trait loci, Bayesian colocalization, computational clinical transcriptomics, and phenome-wide association studies. Two-sample, bidirectional, and multivariable Mendelian randomization analyses were performed using summary-level data from global genome-wide association studies. Results: Genetically predicted higher circulating levels of complement factor H were significantly associated with a lower risk of IgA nephropathy. Bayesian colocalization decoupled the complex locus, isolating this protective signal to a single missense variant within the complement factor H gene and demonstrating independence from the adjacent complement factor H-related 1 gene. Spatial profiling and clinical transcriptomics suggested a dual-compartment model: the liver supplies the systemic pool, while intrinsic renal cells mount a hypothesized severity-driven compensatory upregulation of complement factor H during active disease. Furthermore, phenome-wide association studies indicated that enhancing complement factor H offers dual protective benefits against IgA nephropathy and age-related macular degeneration without broad chronic systemic pleiotropy. Conclusions: This study provides convergent genomic and transcriptomic evidence supporting complement factor H as a genetically supported protective factor in IgA nephropathy. Genetic variation consistent with enhanced complement factor H-mediated regulation is associated with reduced disease susceptibility. These findings provide a theoretical framework for exploring direct recombinant supplementation therapies and offer genetic support for the ongoing clinical development of upstream alternative pathway inhibitors.

Indexed as

alternative pathwaycomplement factor HIgA nephropathyMendelian randomizationmulti-omics

Identifiers

PMID42389194
PMCPMC13320233

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.