Evidence mapPaperPMID 39280093Full record

ArticleFrontiers in genetics2024

Causal role of gut microbiota, serum metabolites, immunophenotypes in myocarditis: a mendelian randomization study.

Kaiyuan Li, Peng Liu, Xiuqi Wang, Zhipeng Zheng, Miao Liu, Jun Ye, Li Zhu

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In one paragraph

Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Kaiyuan Li *Graduate School of Dalian Medical University, Dalian Medical University, Dalian, China.
Peng Liu *Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xiuqi Wang *Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Zhipeng Zheng *Graduate School of Dalian Medical University, Dalian Medical University, Dalian, China.
Miao LiuDepartment of Cardiovascular Medicine, Center Hospital of Shandong First Medical University, Jinan, China.
Jun YeGraduate School of Dalian Medical University, Dalian Medical University, Dalian, China.
Li ZhuGraduate School of Dalian Medical University, Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The intricate relationship among gut microbiota, serum metabolites, and immunophenotypes may significantly impact myocarditis. However, direct causal links between these domains and myocarditis are not well understood. Methods: The study performed Mendelian randomization (MR) analysis using genetic data from public sources. Exposure data included 211 gut microbiota, 486 serum metabolites, and 731 immunophenotypes from Mibiogen, the Metabolomics GWAS server, and GWAS catalog databases. Single nucleotide polymorphisms (SNPs) were selected as instrumental variables based on established criteria. Myocarditis data from GWAS (427,911 participants, 24, 180, 570 SNPs) were used as the outcome variable. MR analysis was conducted using Inverse Variance Weighting (IVW), with Cochran's Q test for heterogeneity and Egger's intercept to assess horizontal pleiotropy. Results: 9 gut microbiota, 10 serum metabolites, and 2 immunophenotypes were negatively associated with myocarditis risk. In contrast, 5 gut microbiota, 12 serum metabolites, and 7 immunophenotypes were positively associated with myocarditis risk (all, Conclusion: This MR study suggests that gut microbiota, serum metabolites, and immunophenotypes may causally influence myocarditis risk. These findings provide genetic evidence for myocarditis etiology and could inform future precision prevention and treatment strategies.

Indexed as

gut microbiotaimmunophenotypesmendelian randomization studymyocarditisserum metabolites

Identifiers

PMID39280093
PMCPMC11392795

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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 Socratic graph.