Evidence map›Paper›PMID 42780117›Full record

ArticleFrontiers in immunology2026

Multi-omics analyses demonstrate complement dysregulation is involved in focal segmental glomerulosclerosis.

Yingxue Xu, Sipei Chen, Yong Zhang, Yi Li, Guisen Li

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yingxue XuDepartment of Nephrology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Clinical Research Center for Kidney Diseases, Chengdu, China.
Sipei ChenDepartment of Nephrology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Clinical Research Center for Kidney Diseases, Chengdu, China.
Yong ZhangInstitutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China.
Yi LiDepartment of Nephrology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Clinical Research Center for Kidney Diseases, Chengdu, China.
Guisen LiDepartment of Nephrology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Clinical Research Center for Kidney Diseases, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The complement system is increasingly recognized as a contributor to the pathogenesis of focal segmental glomerulosclerosis (FSGS). However, a comprehensive, tissue-based characterization of complement dysregulation in human FSGS kidneys remains lacking. Methods: We performed an integrative multi-omics analysis combined with histological validation. Proteomic (LC-MS/MS) profiling was conducted on renal cortical tissues from 11 patients with FSGS and 12 healthy controls from our institution, while transcriptomic (RNA-seq) analysis was performed using publicly available datasets comprising 100 FSGS and 30 normal samples. Results: Multi-omics analyses consistently identified the complement and coagulation cascades among the most significantly enriched pathways in FSGS. Transcriptomic data revealed upregulation of C1QB, C1R, C1S, C2, C3, and CFB mRNA, whereas proteomic profiling showed upregulation of C4BPA, C5, C8B, C8G, and CFHR5, along with downregulation of C1R, C1S, C2, CFB, and CFH. In Tmem30a knocked down mouse podocytes, complement pathway enrichment was observed, but core components including C3, C1r, C1s, and CFB were downregulated. Immunofluorescence confirmed frequent glomerular C3c deposition (43.75%), with lower positivity rates for C1q (15.63%), CFB (12.5%), and CFH (12.5%); MBL deposition was rare. Patients with glomerular deposition of C3c, C1q, CFB, or CFH exhibited significantly lower probabilities of achieving complete remission. Conclusions: This study systematically demonstrates concurrent dysregulation of the classical and alternative complement pathways in FSGS. The deposition of specific complement components in renal tissue strongly correlates with disease activity, treatment resistance, and poor prognosis, suggesting their potential as pathological biomarkers and therapeutic targets. These findings enhance the understanding of FSGS immunopathogenesis and support the strategy of complement-targeted therapies.

Indexed as

Complement System ProteinsGlomerulosclerosis, Focal SegmentalAdultAnimalsComplement ActivationFemaleGene Expression ProfilingHumansMaleMiceMiddle AgedMultiomicsPodocytesProteomicsTranscriptomeComplement System Proteinscomplementfocal segmental glomerulosclerosisoutcomeproteomicstranscriptomic

Identifiers

PMID42780117
PMCPMC13597383

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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.