Back to search

Article

Combining Circadian Rhythm-Related Gene Expression and Immune Infiltration to Identify Diagnostic Biomarkers in Acute Myocardial Infarction

2024-10-08

Abstract excerpt

<title>Abstract</title> <p>Current diagnostic biomarkers for acute myocardial infarction (AMI), such as troponins, often lack specificity, leading to false positives under non-cardiac conditions. Recent studies have implicated circadian rhythm and immune infiltration in the pathogenesis of AMI. This study hypothesizes that analyzing the interplay between circadian rhythm-related gene expression and immune infiltr...

Topics

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

Identifiers and source

Literature Corpus work
22b39783-61f4-5deb-a214-ca3b6c4bfd93
DOI
10.21203/rs.3.rs-4822907/v1
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.
Combining Circadian Rhythm-Related Gene Expression and Immune Infiltration to Identify Diagnostic Biomarkers in Acute Myocardial InfarctionDOI 10.21203/rs.3.rs-4822907/v1
Discovery of circadian rhythm-related hub genes in acute myocardial infarction: A two-sample Mendelian randomization study.Semantic proximity
Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohortSemantic proximity
Identification of RNA Modification-Related Differentially Expressed Genes in Acute Myocardial Infarction: Unraveling Diagnostic Perspectives and Immunological MicroenvironmentSemantic proximity
Integrated RNA gene expression analysis identified potential immune-related biomarkers and RNA regulatory pathways of acute myocardial infarctionSemantic proximity
Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome AnalysisSemantic proximity
Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart failure based on machine learningSemantic proximity
Single-cell transcriptomics and machine learning reveal RNF144B and C5AR1 as immune-related biomarkers and therapeutic targets in myocardial infarctionSemantic proximity
Identification and validation of mitochondrial dynamics-related genes in patients with acute myocardial infarction-a bioinformatics analysisSemantic proximity
Comprehensive analysis of diagnostic biomarkers related to histone acetylation in acute myocardial infarctionSemantic proximity
Identification of 6 cuproptosis- and ferroptosis-related genes linking immune infiltration as diagnostic biomarkers for acute myocardial infarctionSemantic proximity
Identification of Immune-Related Genes in Patients with Acute Myocardial Infarction Using Machine Learning MethodsSemantic proximity
Potential diagnostic biomarkers: 6 cuproptosis- and ferroptosis-related genes linking immune infiltration in acute myocardial infarctionSemantic proximity
Select a neighboring publication to make it the new centre.