Evidence mapPaperPMID 41296393Full record

ArticleCurrent issues in molecular biology2025

Myocardium miRNA Analysis Reveals Potential Biomarkers of Sudden Coronary Death in Rats.

Chunmei Zhao, Xinyu Zhou, Yaqin Bai, Zhenxiang Zhao, Huaping Zhang, Cairong Gao, Keming Yun, Xiangjie Guo

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2025. 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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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

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4 · The record

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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

8 authors.

Chunmei ZhaoSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030606, China.ORCID 0000-0002-0052-6075
Xinyu ZhouSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030606, China.
Yaqin BaiSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030606, China.ORCID 0000-0001-5353-2949
Zhenxiang ZhaoTranslational Medicine Center, Shanxi Medical University, Jinzhong 030606, China.
Huaping ZhangTranslational Medicine Center, Shanxi Medical University, Jinzhong 030606, China.
Cairong GaoSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030606, China.
Keming YunSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030606, China.
Xiangjie GuoSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030606, China.

Funding

the National Natural Science Foundation of China, the Basic Research Program of Shanxi 82271925, 20210302123314, 202403021221159
6 · The paper itself

Abstract

This study aims to provide potential biomarkers and reveal the molecular mechanism of sudden coronary death (SCD). Rat models of atherosclerotic death (ASD), coronary atherosclerosis (AS), and acute myocardial ischemia (AMI) and sham groups were established via the gavage of high-fat emulsion and left coronary artery ligation. The myocardium was collected, and transcriptome sequencing was performed. Differentially expressed miRNAs (DEmiRNAs) were identified using edeR software. The target genes were predicted using TargetScan, and functional enrichment analysis was performed via KEGG. Then, an miRNA-mRNA interaction network was constructed using Cytoscape. The key miRNAs with biomarker potential were identified using LASSO regression. A total of 217, 224, and 86 DEmiRNAs were identified in the ASD, AS, and AMI groups compared with the sham group, respectively. The Ras and Rap1 pathways were mainly expressed in ASD. The β-alanine and sphingolipid metabolisms were expressed in AMI. Finally, miR-106b, miR-195, miR-33, miR-652, miR-466b, and miR-6321 were identified as biomarkers of ASD. MiR-205, miR-877, miR-325, and miR-344b were identified as biomarkers of AMI. miR542-Atg12 was involved in the RIG-I-like receptor signaling pathway, miR6328-Gstz1 was involved in tyrosine metabolism, and miR483-Dusp5 was involved in the MAPK signaling pathway. This study provides a reference for the identification of SCD in forensic pathology.

Indexed as

cause of deathforensic pathologymiRNA expressionnext-generation sequencingratssudden coronary death

Identifiers

PMID41296393
PMCPMC12651007

What Socratic holds

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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.