Evidence map›Paper›PMID 40269003›Full record

ArticleScientific reports2025

CDC6 as early biomarker for myocardial infarction with acute cellular senescence and repair mechanisms.

Yun Wen, Xiaofang Zhang, Jiaxin Wang, Caixia Ma, Liangyan Wu, Lihong Wang

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yun Wen *Department of Endocrinology and Metabolism, First Affiliated Hospital of Jinan University, Guangzhou, China.
Xiaofang Zhang *The Academician Cooperative Laboratory of Basic and Translational Research on Chronic Diseases, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Jiaxin Wang *Department of Endocrinology and Metabolism, First Affiliated Hospital of Jinan University, Guangzhou, China.
Caixia MaDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Jinan University, Guangzhou, China.
Liangyan WuDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Jinan University, Guangzhou, China.
Lihong WangDepartment of Endocrinology and Metabolism, First Affiliated Hospital of Jinan University, Guangzhou, China. nd6688@163.com.

Funding

National Natural Science Foundation of China 82200417Science and Technology Projects in Guangzhou 2023A04J1280the First Affiliated Hospital of Jinan University 808026
6 · The paper itself

Abstract

We aimed to the exploration of genes related to the cell cycle and the mechanisms of cardiac cell repair and senescence post-MI. The sequencing dataset of myocardial infarction in mice (GSE161427) was downloaded from the Gene Expression Omnibus (GEO) database, yielding 894 upregulated differentially expressed genes (DEGsup). Additionally, 494 senescence-related genes (SRGs) were obtained from the CellAge database. The overlapping differentially expressed genes (DEupSGs) between these two sets were identified using the R software. WGCNA using the GSE59867 dataset revealed a highly related module to MI. The intersection of core genes from the purple module and DEupSGs yielded 12 genes. Through machine learning and PPI analysis, two target genes related to MI and cellular senescence were identified: CDC6 and PLK1. ROC curve analysis using the MI animal myocardial sample dataset GSE775 and the patient blood sample dataset GSE60993 indicated that CDC6 expression has high diagnostic value for MI and cellular senescence, with differential expression levels at various times post-infarction.These results show that CDC6 is specifically upregulated in the early stages of MI, and both in vivo and ex vivo model results are consistent with bioinformatics findings. Additionally, overexpression of CDC6 in the early oxygen-glucose deprivation (OGD) model in vitro increased the expression of genes mediating cardiac repair. Interestingly, when ABT263 was used to clear senescent cells, the expression of genes mediating repair in primary cardiac cells decreased, suggesting that acute ischemic hypoxia early on, CDC6-mediated acute cardiac cell senescence may promote early cardiac repair. This finding may provide new insights into the monitoring and assessment of cardiac cell senescence and repair in the early stages of MI.

Indexed as

Cell Cycle ProteinsCellular SenescenceMyocardial InfarctionNuclear ProteinsAnimalsBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansMiceMyocytes, CardiacUp-RegulationBiomarkersCell Cycle ProteinsNuclear ProteinsAcute cellular senescenceCardiac repairCDC6Cell cycleEarly myocardial infarction

Identifiers

PMID40269003
PMCPMC12019133

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