Evidence map›Paper›PMID 40599279›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025

[Exploring the Causal Relationship Between Circulating Immune Cells and Autoimmune Hepatitis Through Mendelian Randomization Analysis].

Song Leng, Kefen Wang, Yujun Shi, Cheng Deng

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Song Leng（ 610041） Department of Respiratory and Critical Care Medicine/Center for High Altitude Medicine/Institutes for Systems Genetics/National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
Kefen Wang（ 610041） Department of Respiratory and Critical Care Medicine/Center for High Altitude Medicine/Institutes for Systems Genetics/National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
Yujun Shi（ 610041） Department of Respiratory and Critical Care Medicine/Center for High Altitude Medicine/Institutes for Systems Genetics/National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
Cheng Deng（ 610041） Department of Respiratory and Critical Care Medicine/Center for High Altitude Medicine/Institutes for Systems Genetics/National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To elucidate the causal relationship between specific immune cells and autoimmune hepatitis (AIH) using a two-sample Mendelian randomization (MR) approach. Methods: A bidirectional MR analysis was conducted using data from large publicly accessible Genome-Wide Association Study (GWAS) databases. The inverse variance weighted (IVW) method was employed as the primary method to evaluate the relationship between 731 immune cell traits and AIH. The false discovery rate (FDR) was controlled using the Benjamini-Hochberg correction. Additionally, pleiotropy and heterogeneity tests were performed, and a leave-one-out sensitivity analysis was conducted to further validate the robustness of the results. Results: At a significance level of 0.20, it was found that the absolute count of CD28 Conclusion: Four immune cell phenotypes associated with AIH risk are identified. Further investigation is needed to validate these findings and explore new therapeutic avenues.

Indexed as

Hepatitis, AutoimmuneMendelian Randomization AnalysisCD28 AntigensGenome-Wide Association StudyHumansT-Lymphocytes, RegulatoryCD28 AntigensAutoimmune hepatitisImmune cellsMendelian randomization

Identifiers

PMID40599279
PMCPMC12207039

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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.