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Updated: Jul 12, 2025

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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
206
ASSESSING THE CAUSAL RELATIONSHIP BETWEEN SEPSIS AND AUTOIMMUNE: A MENDELIAN RANDOMIZATION STUDY
Ziyi Wang1, Zhe Guo, Xuesong Wang
1Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China.
Shock (Augusta, Ga.)
|October 19, 2023
Summary
This Mendelian randomization study found no causal link between most autoimmune disorders and sepsis risk. However, primary sclerosing cholangitis susceptibility may increase sepsis risk, suggesting targeted treatments.
Area of Science:
- Genetics
- Immunology
- Epidemiology
Background:
- Epidemiological studies suggest a link between sepsis and autoimmune disorders.
- The causal relationship remains unclear, necessitating further investigation.
Purpose of the Study:
- To investigate the potential causal relationship between sepsis and autoimmune disorders using Mendelian randomization (MR).
- To assess the genetic influence of autoimmune disease susceptibility on sepsis risk.
Main Methods:
- Utilized a two-sample MR framework with large-scale European genome-wide association studies (GWAS) data.
- Employed inverse-variance weighted MR, weighted median, and MR Egger analyses.
- Conducted sensitivity analyses and reverse MR to assess causality and pleiotropy.
Main Results:
- MR analysis indicated that susceptibility to most autoimmune diseases does not significantly impact sepsis risk.
- Reverse MR analysis did not support a causal effect of sepsis on autoimmune diseases.
- Primary sclerosing cholangitis susceptibility was identified as a potential risk factor for sepsis.
Conclusions:
- The study does not validate a widespread causal link between autoimmune disorder susceptibility and sepsis risk in Europeans.
- Observed epidemiological associations may be influenced by shared environmental or biological confounders.
- Primary sclerosing cholangitis presents a specific association with sepsis risk, potentially enabling future personalized treatments.
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