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Dissecting the immune-metabolic axis in appendicitis: A Mendelian randomization mediation study
Haixia Zheng1, Kui Wang2, Dong Wang3
1Postgraduate Training Base in Shanghai Gongli Hospital, Ningxia Medical University, Shanghai, China.
Medicine
|June 16, 2026
Summary
This study explored immune cell traits and plasma metabolites in appendicitis using Mendelian randomization. Findings suggest an immune-metabolic axis role, but require further validation.
Area of Science:
- Immunology
- Metabolomics
- Gastroenterology
Background:
- Appendicitis development is linked to immune and metabolic dysregulation.
- Causal pathways connecting immune and metabolic factors to appendicitis remain unclear.
Purpose of the Study:
- To investigate the causal effect of immune cell traits on appendicitis risk.
- To assess the mediating role of plasma metabolites in this relationship.
Main Methods:
- Mendelian randomization (MR) analysis using genome-wide association study summary statistics from European cohorts.
- Included 731 immune cell traits, 1400 plasma metabolites, and appendicitis data.
- Employed inverse variance weighted method, mediation analysis, and reverse MR.
Main Results:
- Initially, three immune cell traits and 12 plasma metabolites showed significant associations with appendicitis risk.
- CD86+ plasmacytoid dendritic cells showed a protective effect; CD28+ T cells and CD27 on IgD+ memory B cells were linked to increased risk.
- 13-HODE + 9-HODE levels partially mediated the effect of CD28+ T cells on appendicitis (17.7% mediation).
- Sensitivity analyses found no evidence of heterogeneity, pleiotropy, or reverse causation.
- However, after FDR adjustment, no associations remained significant, indicating exploratory findings.
Conclusions:
- The study provides exploratory evidence for an immune-metabolic axis in appendicitis pathogenesis.
- Identified potential causal pathways and mediators warranting further investigation.
- Results are hypothesis-generating and require validation in independent datasets before clinical application.
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