Back to search

Article

The diagnostic value of hyperlipidemia and lipophagy-related genes, PLAUR, IVNS1ABP, and QKI, in acute myocardial infarction

2024-12-06

Abstract excerpt

<h4>Background</h4> Hyperlipidemia (HLP) may intensify myocardial cell damage by disrupting lipophagy, a pivotal lipid metabolism pathway, thereby heightening the risk of acute myocardial infarction (AMI). This study aims to identify HLP- and lipophagy-associated biomarkers for AMI through a combined transcriptomic and mendelian randomization (MR) approach. <h4>Methods</h4> The mRNA expression data for AMI, along...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2b952dd6-12de-5ade-a4c0-8caa444dfecb
DOI
10.1101/2024.12.05.24318546
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The diagnostic value of hyperlipidemia and lipophagy-related genes, PLAUR, IVNS1ABP, and QKI, in acute myocardial infarctionDOI 10.1101/2024.12.05.24318546
Identification and Validation of Lipid Metabolism-related Key Genes as Novel Biomarkers in Acute Myocardial Infarction and Pan-cancer AnalysisSemantic proximity
ACSL1, CH25H, GPCPD1, and PLA2G12A as the potential lipid-related diagnostic biomarkers of acute myocardial infarctionSemantic proximity
Identification and Validation of Lipid-related Genes in Acute Myocardial InfarctionSemantic proximity
Expression characteristics of lipid metabolism-related genes and correlative immune infiltration landscape in acute myocardial infarctionSemantic proximity
Biomarkers identification for acute myocardial infarction detection via weighted gene co-expression network analysisSemantic proximity
Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker AlgorithmSemantic proximity
Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome AnalysisSemantic proximity
Identification and validation of mitochondrial dynamics-related genes in patients with acute myocardial infarction-a bioinformatics analysisSemantic proximity
Integrated analysis and validation of ferroptosis-related genes and immune infiltration in acute myocardial infarctionSemantic proximity
Identification of key genes associated with acute myocardial infarction using WGCNA and two-sample mendelian randomization studySemantic proximity
Proteome-wide Mendelian Randomization Analysis Identified Potential Drug Targets for Myocardial InfarctionSemantic proximity
The association between lipid metabolism and coronary artery disease: A systematic Mendelian randomization study combined with transcriptome analysis.Semantic proximity
Select a neighboring publication to make it the new centre.