Evidence map›Paper›PMID 42800848›Full record

ArticleJournal of cardiothoracic surgery2026

Identification and validation of brown adipocyte-related key genes in ST-segment elevated myocardial infarction.

Hongmin Li, Xiaolin Chen, Changhui Ma, Yuanyuan Wang

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 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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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

Hongmin LiTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Xiaolin ChenTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Changhui MaTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Yuanyuan WangTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China. wangyuanyuan@tmu.edu.cn.ORCID http://orcid.org/0009-0002-8960-8225

Funding

the Scientific Research Program of Tianjin Municipal Education Commission 2021KJ226
6 · The paper itself

Abstract

ST-segment elevation myocardial infarction (STEMI), a critical manifestation of coronary artery disease, involves complex molecular mechanisms potentially linked to brown adipocyte (BA) biology. This study aimed to identify BA-related key genes and elucidate their roles in STEMI progression. Transcriptomic data from peripheral blood mononuclear cells (PBMCs) of STEMI patients and stable coronary artery disease (CAD) controls were obtained from the GEO database (GSE59867, GSE62646). A 102-gene brown adipocyte-related gene (BARG) set was curated from published literature. Differentially expressed genes (DEGs) were identified using limma, and weighted gene co-expression network analysis (WGCNA) combined with single-sample gene set enrichment analysis (ssGSEA) was applied to detect BARG-associated module genes. The intersection of DEGs and module genes yielded 20 candidate genes, which were further refined using LASSO regression and SVM-RFE machine learning algorithms, identifying ASGR2, MCEMP1, and PPARG as key genes consistently upregulated in STEMI across both datasets. A nomogram model incorporating these three genes achieved an area under the ROC curve (AUC) of 0.973, demonstrating excellent diagnostic performance. Gene set enrichment analysis (GSEA) revealed convergent enrichment of all three key genes in neutrophil degranulation and Toll-like receptor signaling cascades. Immune infiltration profiling using CIBERSORT identified significant increases in monocytes alongside decreases in resting NK cells and eosinophils in STEMI, with all three key genes showing significant correlations with these immune cell populations. Molecular docking identified shinpterocarpin as a candidate compound targeting PPARG with a suggestive binding affinity (-5.8 kcal/mol), warranting further experimental validation. RT-qPCR in an independent preliminary clinical cohort (n = 5 per group) demonstrated upregulation of all three key genes in STEMI patients (p < 0.05), consistent with bioinformatic predictions. This study identifies ASGR2, MCEMP1, and PPARG as BA-associated key genes in STEMI PBMC profiles and highlights their potential immune-metabolic relevance.

Indexed as

Adipocytes, BrownST Elevation Myocardial InfarctionGene Expression ProfilingHumansMalePPAR gammaPPAR gammaBiological pathwaysBrown adipocytesImmune infiltration analysisKey genesST-segment elevation myocardial infarction

Identifiers

PMID42800848
PMCPMC13615575

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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.