Evidence map›Paper›PMID 41560091›Full record

ArticleMedicine2026

Discovery of circadian rhythm-related hub genes in acute myocardial infarction: A two-sample Mendelian randomization study.

Song Peng, Yan Leng, Man-Hua Chen

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

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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

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5 · Who and what money

Authors and funding

3 authors.

Song PengDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0009-0007-7300-7122
Yan LengDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
Man-Hua ChenDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian rhythms have been reported in a variety of physiological processes that may influence cardiovascular disease, while little is known about the effects of circadian rhythm-related genes (CRRGs) on acute myocardial infarction (AMI). The genome-wide association study (GWAS) data of AMI (ukb-a-533) and expression quantitative trait loci (eQTL) data of CRRGs were downloaded from the integrative epidemiology unit Open GWAS database. The relationship between the CRRGs and AMI was assessed by the two-sample Mendelian randomization (TSMR) analysis. The hub genes that could directly affect AMI were identified based on the inverse variance weighted (IVW) algorithms. Subsequently, the TSMR results were evaluated via sensitivity analyses and MR-Steiger filtering. Then, the expression in immune cells and tissues was predicted from the Human Protein Atlas and Genotype-Tissue Expression databases. Finally, the molecular regulatory networks were generated based on the hub genes. In TSMR results, NR1H3 (IVW: odds ratio (OR) = 1.0009, 95% confidence interval (CI) = 1.0005-1.0013), SREBF1 (IVW: OR = 1.0015, 95% CI = 1.0007-1.0022), SIRT1 (IVW: OR = 1.0007, 95% CI = 1.0001-1.0013), and HIF1A (IVW: OR = 1.0022, 95% CI = 1.0004-1.0039) were risk factors for AMI patients, while NCOA1 (IVW: OR = 0.9984, 95% CI = 0.9969-0.9998) was a protective factor for AMI patients (P < .05). Importantly, the 5 hub genes could affect AMI occurrence in one direction. The expression levels of HIF1A, NCOA1, and SREBF1 were highest in neutrophils than the other immune cells. Also, HIF1A and SREBF1 had higher expression in the heart (left ventricle and atrial appendage) and artery (aorta, tibial, and coronary). Moreover, the transcription factor, NFKB1, might regulate the hub genes except for NCOA1. Generally, 4 risk genes (NR1H3, SREBF1, SIRT1, and HIF1A) and 1 protective gene (NCOA1) associated with circadian rhythm for AMI patients were identified, providing new insights into the diagnosis and treatment of AMI.

Indexed as

Circadian RhythmMyocardial InfarctionGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociSirtuin 1Sterol Regulatory Element Binding Protein 1Sirtuin 1SREBF1 protein, humanSterol Regulatory Element Binding Protein 1acute myocardial infarctioncircadian rhythmMendelian randomizationmolecular regulatory network

Identifiers

PMID41560091
PMCPMC12826203

What Socratic holds

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Registered trials

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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.