Evidence map›Paper›PMID 41307202›Full record

ArticleImmunity, inflammation and disease2025

Unraveling the Clinical and Molecular Landscape of Myocardial Infarction in Behçet's Syndrome: A Comprehensive Analysis.

Li-Yang Zhang, Chun-Hui She, Hu Dan, Jun Zou, Jian-Long Guan

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Li-Yang ZhangDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University Shanghai, China.
Chun-Hui SheDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University Shanghai, China.ORCID https://orcid.org/0000-0003-2328-8011
Hu DanDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University Shanghai, China.ORCID https://orcid.org/0000-0002-5396-1230
Jun ZouDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University Shanghai, China.ORCID https://orcid.org/0000-0001-9563-2702
Jian-Long GuanDepartment of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University Shanghai, China.ORCID https://orcid.org/0000-0002-6481-480X

Funding

This study is supported by Technical Standards Project of the Science and Technology Commission of Shanghai Municipality (STCSM) (No. 21DZ2201200).
6 · The paper itself

Abstract

objectivesBehçet's syndrome (BS) is a rare inflammatory disorder with life-threatening complications like myocardial infarction (MI), driven by vasculitis and immune-mediated thrombosis. This study unveils distinct clinical and molecular profiles in BS patients with MI, employing gene analysis and Weighted Gene Co-expression Network Analysis (WGCNA) to pinpoint critical pathways and therapeutic targets, enhancing diagnostic precision and treatment efficacy.

methodsA total of 2358 BS patients (25 with MI, 2333 without MI) were analyzed. Clinical characteristics were compared based on the cohort. Differential gene expression analysis was performed on four microarray datasets, by using GEO datasets, and WGCNA identified key gene modules. KEGG/GO enrichment revealed disease pathways, while diagnostic models (ROC curves, nomograms) evaluated predictive accuracy.

resultsBS patients with MI exhibited longer disease duration, higher smoking rates, and increased vascular and cardiac involvement. Gene analysis identified 605 BS- and 523 MI-related genes, with pathways linked to immune regulation and vascular remodeling. Three genes, TLR5, IL2RB, and KLRB1, showed strong diagnostic potential (AUC > 0.8). A nomogram integrating these genes achieved high predictive accuracy (AUC = 0.876).

conclusionsThis study reveals distinct clinical and molecular profiles in BS-associated MI, emphasizing inflammatory pathways and immune dysregulation. The findings provide a foundation for early diagnosis and personalized therapeutic strategies, advancing care for BS patients at risk for MI.

Indexed as

Behcet SyndromeMyocardial InfarctionAdultFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleMiddle AgedNomogramsBehçet's syndromebioinformatics analysisclinical manifestationdiagnostic biomarkermyocardial infarctionphenotype

Identifiers

PMID41307202
PMCPMC12658460

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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.