Evidence map›Paper›PMID 38818463›Full record

ArticleInternational journal of medical sciences2024

A circular network of adenosine-mediated mitochondrial dysfunction as coregulators of acute myocardial infarction.

Yang Liu, Tianci Xiao, Zili Wang, Yangbin Ou, Ying Tan, Liting Chen, Na Zhou, Rongjun Zou

Abstract read
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In one paragraph

Article in International journal of medical sciences, 2024. 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

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yang LiuThe Traditional Chinese Medicine Department, Zhongshan Huangpu People's Hospital, Zhongshan,528429, Guangdong, China.
Tianci XiaoThe Traditional Chinese Medicine Department, Zhongshan Huangpu People's Hospital, Zhongshan,528429, Guangdong, China.
Zili WangThe Traditional Chinese Medicine Department, Zhongshan Huangpu People's Hospital, Zhongshan,528429, Guangdong, China.
Yangbin OuThe Traditional Chinese Medicine Department, Zhongshan Huangpu People's Hospital, Zhongshan,528429, Guangdong, China.
Ying TanSchool of Medicine, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Liting ChenThe Traditional Chinese Medicine Department, Zhongshan Huangpu People's Hospital, Zhongshan,528429, Guangdong, China.
Na ZhouHeart Center, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.
Rongjun ZouThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the molecular mechanisms and associated pathways of myocardial infarction (MI). We employed a variety of analytical methods, including Mendelian Randomization (MR) analysis, transcriptome microarray data analysis, gene function and pathway enrichment analysis, untargeted metabolomic mass spectrometry analysis, and gene-metabolite interaction network analysis. The MR analysis results revealed a significant impact of mitochondrial DNA copy number on MI and coronary artery bypass grafting. Transcriptome analysis unveiled numerous differentially expressed genes associated with myocardial ischemia, with enrichment observed in cardiac function and energy metabolism pathways. Metabolomic analysis indicated a significant downregulation of mitochondrial regulation pathways in ischemic myocardium. T500 metabolite quantification analysis identified 90 differential metabolites between MI and Sham groups, emphasizing changes in metabolites associated with energy metabolism. Gene-metabolite interaction network analysis revealed the significant roles of key regulatory molecules such as HIF1A, adenosine, TBK1, ATP, NRAS, and EIF2AK3, in the pathogenesis of myocardial ischemia. In summary, this study provides important insights into the molecular mechanisms of MI and highlights interactions at multiple molecular levels, contributing to the establishment of new theoretical foundations for the diagnosis and treatment of MI.

Indexed as

AdenosineMyocardial InfarctionDNA, MitochondrialEnergy MetabolismGene Expression ProfilingGene Regulatory NetworksHumansMendelian Randomization AnalysisMetabolomicsMitochondriaTranscriptomeAdenosineDNA, MitochondrialGene-metabolite interaction network analysisMendelian Randomization analysisMetabolomic mass spectrometry analysisMolecular mechanismsMyocardial infarctionTranscriptome analysis

Identifiers

PMID38818463
PMCPMC11134589

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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.