Evidence map›Paper›PMID 42071857›Full record

ArticleMedicine2026

Causal relationship between circulating immune cells, cytokines and different types of autoimmune liver diseases: A univariable and multivariable Mendelian randomization study.

Chunli Li, Qilong Zhai, Hongyu Wu, Changjie Du, Jiajun Yuan, Jialun Peng, Yu You, Jinzheng Li, Tao Zhong

Abstract read
In one paragraph

Article in Medicine, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Chunli LiDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qilong Zhai
Hongyu Wu
Changjie Du
Jiajun Yuan
Jialun Peng
Yu You
Jinzheng Li

Funding

Chongqing Municipal Science and Health Joint Medical Research Project 2024QNXM003Chongqing Natural Science Foundation NO:CSTB2022NSCQ-MSX0821Chongqing Natural Science Foundation NO: CSTB2023NSCQ-MSX0150Joint project of Chongqing Health Commission and Science and Technology Bureau NO:2022GDRC004Kuanren Talents Program of the second affiliated hospital of Chongqing Medical University NO.kryc-gg-2206Kuanren Talents Program of the second affiliated hospital of Chongqing Medical University No. kryc-yq-2208
6 · The paper itself

Abstract

Autoimmune liver diseases (AILDs) are a group of liver diseases characterized by immune dysfunction. Recent studies have proposed a potential correlation among immune cells, cytokines, and AILDs. However, the causal nature of this relationship remains to be elucidated. Summary-level Genome-Wide Association Studies (GWAS) statistical data for primary biliary cholangitis and primary sclerosing cholangitis were obtained from FinnGen, while autoimmune hepatitis and immune trait statistics were sourced from the GWAS Catalog. GWAS data for 41 inflammatory cytokines were acquired from the University of Bristol. The inverse-variance weighted method was the primary Mendelian randomization (MR) analysis method, with sensitivity and inverse MR analyses performed to assess result stability. Under the premise of satisfying the MR hypothesis, our analysis supported the existence of potential causal relationships between different immunophenotypes, cytokines, and AILDs. 10 immune cell phenotypes and 7 cytokines with potential causal relationships with AILDs were identified. For different types of AILDs, 4 immune phenotypes and 4 cytokines were found to be associated with primary biliary cholangitis, 4 immune phenotypes and 2 immune factors were associated with primary sclerosing cholangitis, and 3 immune phenotypes and 1 cytokine were associated with autoimmune hepatitis. However, we did not find any evidence of reverse causality between immunophenotypes, cytokines, and AILDs. MR analysis found a potential causal relationship between several immune phenotypes, cytokines, and AILDs, suggesting differences in immune responses across various types of AILDs.

Indexed as

Autoimmune DiseasesCholangitis, SclerosingCytokinesHepatitis, AutoimmuneLiver Cirrhosis, BiliaryLiver DiseasesGenome-Wide Association StudyHumansMendelian Randomization AnalysisCytokinesautoimmune liver diseases (AILDs)circulating immune cellscytokinesmultivariable Mendelian randomization (MVMR)two-sample Mendelian randomization (TSMR)

Identifiers

PMID42071857
PMCPMC13124431

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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.