Mendelian randomization and AlphaFold3 analysis suggest putative causal plasma proteins in graves’ disease

Graves' disease (GD) is a common autoimmune disorder. However, the circulating proteins that causally drive its pathogenesis remain largely unconfirmed by genetic evidence. Identifying such proteins is critical for developing novel therapeutics. <b>Methods:</b> We performed a two-sample Mendelian randomization (MR) analysis using genetic instruments for 4907 plasma proteins and summary statistics from a GD genome-wide association study (GWAS) of European ancestry to identify causal proteins. We subsequently conducted protein-protein interaction (PPI) network analysis and used AlphaFold3 to model the structural impact of a key variant, rs41271951, in the top candidate protein, cathepsin S (CTSS). <b>Results:</b> MR analysis identified 23 plasma proteins with putative causal effects on GD risk. Among these, CD5L showed the strongest evidence for colocalization (posterior [Formula: see text]), suggesting a shared causal variant. Network analysis revealed that these proteins converge on a novel complement-ECM-coagulation axis in GD pathogenesis. CTSS emerged as a central hub in this network. AlphaFold3 modeling suggested that the CTSS variant rs41271951 (p.Val7Ala), located within the signal peptide, induces subtle structural perturbations. The primary and most plausible consequence is a reduction in CTSS secretion and circulating levels, as supported by the pQTL data. <b>Conclusion:</b> This multi-omics analysis proposes a novel complement-ECM-coagulation axis in GD. By structurally and functionally linking reduced CTSS abundance and secretion to genetic variation, we identify CTSS as a potential candidate for therapeutic repurposing in GD.

Authors

Institutions

Publication Details

Journal
Journal of Bioinformatics and Computational Biology
Published
2025-11-28
DOI
https://doi.org/10.1142/s0219720025500234
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mendelian randomization and AlphaFold3 analysis suggest putative causal plasma proteins in graves’ disease

Shuai Zhong, Liangzhi Huang, Ting Chen, Zhigang Huang et al.
Journal of Bioinformatics and Computational Biology
Genetic Associations and Epidemiology
article

Mendelian randomization and AlphaFold3 analysis suggest putative causal plasma proteins in graves’ disease

Shuai Zhong, Liangzhi Huang, Ting Chen, Zhigang Huang, Qiao Chen, Zhanlin Liao, Bixin Deng
article en

Abstract

Graves' disease (GD) is a common autoimmune disorder. However, the circulating proteins that causally drive its pathogenesis remain largely unconfirmed by genetic evidence. Identifying such proteins is critical for developing novel therapeutics. <b>Methods:</b> We performed a two-sample Mendelian randomization (MR) analysis using genetic instruments for 4907 plasma proteins and summary statistics from a GD genome-wide association study (GWAS) of European ancestry to identify causal proteins. We subsequently conducted protein-protein interaction (PPI) network analysis and used AlphaFold3 to model the structural impact of a key variant, rs41271951, in the top candidate protein, cathepsin S (CTSS). <b>Results:</b> MR analysis identified 23 plasma proteins with putative causal effects on GD risk. Among these, CD5L showed the strongest evidence for colocalization (posterior [Formula: see text]), suggesting a shared causal variant. Network analysis revealed that these proteins converge on a novel complement-ECM-coagulation axis in GD pathogenesis. CTSS emerged as a central hub in this network. AlphaFold3 modeling suggested that the CTSS variant rs41271951 (p.Val7Ala), located within the signal peptide, induces subtle structural perturbations. The primary and most plausible consequence is a reduction in CTSS secretion and circulating levels, as supported by the pQTL data. <b>Conclusion:</b> This multi-omics analysis proposes a novel complement-ECM-coagulation axis in GD. By structurally and functionally linking reduced CTSS abundance and secretion to genetic variation, we identify CTSS as a potential candidate for therapeutic repurposing in GD.

Journal of Bioinformatics and Computational BiologyVol. 23(06)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
Openalex Percentile: Top 61%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.