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Exploration of the causal relationship between inflammatory cytokines and type 2 diabetes via mendelian randomization and polygenic score

Jul 2026 · Frontiers in Immunology · Vol 17 · 0 citations · 54 references
Medicine

TL;DR

This study identified nine inflammatory cytokines with potential causal associations with T2D in European populations and in a Mongolian cohort, a PGS for genetically predicted cytokine levels showed a modest yet independent association with T2D risk after controlling for population stratification.

Abstract

Background To investigate the potential causal relationship between inflammatory cytokines and type 2 diabetes (T2D) using two-sample Mendelian randomization (MR) and to explore the transferability of inflammatory genetic susceptibility in a Mongolian population through polygenic score (PGS) analysis. Methods A two-sample MR analysis was conducted using genome-wide association study (GWAS) summary statistics. Inflammatory cytokine data were obtained from protein quantitative trait locus GWAS datasets (GCST90274758–GCST90274848), and T2D summary statistics were derived from the IEU Open GWAS database (ebi-a-GCST006867). The inverse variance weighted method was used as the primary MR approach, complemented by sensitivity analyses. In an independent Mongolian cohort (N = 351), a PGS was constructed from directly genotyped cytokine-associated SNPs. We assessed PGS-T2D associations using logistic regression adjusted for age, sex, and principal components (PCs), with sensitivity analyses to determine the optimal PC number. Results In the European population, genetically predicted higher FGF-21 levels were associated with an increased risk of T2D (OR = 1.141, 95% CI: 1.032–1.261, P = 0.010), and IL-5 also showed a positive association with T2D risk (OR = 1.114, 95% CI: 1.004–1.237, P = 0.042). In contrast, ARTN, CD5, CSF-1, CXCL10, CXCL9, FGF-19, and SLAMF1 were associated with lower T2D risk. In the Mongolian population, the PGS for inflammation-related cytokine levels demonstrated a significant association with T2D status across models adjusting for 0 to 6 principal components (all P< 0.05). In the full model (adjusted for age, sex, and the first 4 PCs), each 1-SD increase in the PGS corresponded to a 25.4% increase in the odds of T2D (OR = 1.254, 95% CI: 1.005–1.575, P = 0.048; AUC = 0.625). These findings are suggestive and exploratory, necessitating further validation in independent cohorts. Conclusion This study identified nine inflammatory cytokines with potential causal associations with T2D in European populations. Notably, in a Mongolian cohort, a PGS for genetically predicted cytokine levels showed a modest yet independent association with T2D risk after controlling for population stratification. These cross-population findings warrant replication in larger-scale studies.

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