Article

Multinomial machine learning identifies independent biomarkers by integrated metabolic analysis of acute coronary syndrome

2023-07-24

Abstract excerpt

<title>Abstract</title> <p>Background Small-molecule metabolite variations may reflect etiologies of acute coronary syndrome (ACS) and serve as biomarkers of ACS. Major confounders may exert spurious effects on the relationship between metabolism and ACS. It aims to identify independent biomarkers for different types of ACS by integrating of serum and urinary metabolomics. Methods We performed liquid chromatogr...

Topics

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

Identifiers and source

Literature Corpus work: 74be635f-6acb-536e-9350-ea53989e925b
DOI: 10.21203/rs.3.rs-3146531/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multinomial machine learning identifies independent biomarkers by integrated metabolic analysis of acute coronary syndromeDOI 10.21203/rs.3.rs-3146531/v1Read

Circulating Metabolomic Profiling Detects Novel Markers of Myocardial Infarction among Cardiac-chest Pain CasesSemantic proximity Read

Metabolic predictors of COVID-19 mortality and severity: A Survival AnalysisSemantic proximity Read

Identification and Validation of Lipid Metabolism-related Key Genes as Novel Biomarkers in Acute Myocardial Infarction and Pan-cancer AnalysisSemantic proximity Read

Untargeted metabolomics unveils critical metabolic signatures in novel phenotypes of acute ischemic stroke.Semantic proximity Read

A Precision Medicine Approach to Stress Testing Using Metabolomics and Microribonucleic AcidsSemantic proximity Read

Long-Term Prognosis of Acute Myocardial Infarction Associated With Metabolic Health and Obesity Status.Semantic proximity Read

Validation of the association between a branched chain amino acid metabolite profile and extremes of coronary artery disease in patients referred for cardiac catheterization.Semantic proximity Read

Quantitative Metabolomics Reveals Heart Failure With Midrange Ejection Fraction as a Distinct Phenotype of Heart Failure.Semantic proximity Read

Identification of the biomarkers of ACS co-morbid T2DM in human serum through UHPLC/MS studySemantic proximity Read

Metabolomic profile for understanding heart failure classificationsSemantic proximity Read

Identification of Featured Metabolism-Related Genes in Patients with Acute Myocardial InfarctionSemantic proximity Read

Intestinal Microbial Metabolites Are Linked to Severity of Myocardial Infarction in Rats.Semantic proximity Read