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MetabolomicsIntegrated Multi-omics Analysis Identifies Diagnostic Biomarkers for Acute Coronary Syndrome in Type 2 Diabetes Mellitus Patients

Biomarkers for the early identification of acute coronary syndrome (ACS) risk remain inadequately investigated, particularly in patients with type 2 diabetes mellitus (T2DM), for whom timely clinical intervention may substantially enhance prognostic outcomes. The gut microbiota and serum metaboli...

2026-03-19 | MTBLS14087 | MetaboLights
ProteomicsUrinary metabolomics analysis based on LC-MS for diagnosis and monitoring of Acute coronary syndrome
Acute coronary syndrome (ACS) is a kind of cardiovascular disease caused by acute myocardial ischemia. The aim of this study was to use urine metabolomics to explore the potential biomarkers for the diagnosis of ACS and the changes in metabolites during the development of the disease.
ORGANISM(S): Homo Sapiens 
2024-12-03 | PXD058501 |
TranscriptomicsExtracellular Vesicles in acute coronary syndrome: carrier of epigenetics marks
Background: Acute coronary syndromes (ACS) are associated with aberrant gene expression and epigenetic mechanisms. In particular, de novo DNA methylation is typically linked to gene silencing, but its role in heart disease remains not fully understood. Extracellular vesicles (EVs) are active compon...
ORGANISM(S): Homo sapiens 
2023-04-03 | E-MTAB-11641 | biostudies-arrayexpress
TranscriptomicsDifferential gene expression in thrombus-derived white blood cells of patients with acute coronary syndrome
Inflammatory mechanisms and immune cells are involved in acute coronary syndromes (ACS) and may lead to acute plaque rupture. However, the local expression of the different genes potentially involved is largely unknown. We therefore performed an Affymetrix analysis of genes expressed in white blood ...
ORGANISM(S): Homo sapiens 
2011-12-04 | E-GEOD-19339 | biostudies-arrayexpress
MetabolomicsOral-gut microbiome and plasma metabolome reveal incremental restratification of coronary artery disease from the clinical gray zone
Clinical prediction models have been widely applied for risk stratification of coronary artery disease (CAD), yet approximately 20% to 40% of screened individuals fall into the intermediate-risk interval and face a decision gap. Here, we adopted a two-stage validation design. In the first stage, a c...
2026-08-31 | MTBLS15425 | MetaboLights
TranscriptomicsPlatelet microRNA expression profiles of acute coronary syndrome patients with high and low platelet reactivity
To explore the diverse platelet microRNA (miRNA) expression between high platelet reactivity (HPR) and low platelet reactivity (LPR) patients with acute coronary syndromes (ACS), we enrolled a cohort of ACS patients and performed miRNA expression profiling of platelets from four HPR and four LPR pat...
ORGANISM(S): Homo sapiens 
2014-07-17 | E-GEOD-59488 | biostudies-arrayexpress
UnknownEarly and late new-onset of atrial fibrillation in acute coronary syndromes: Their differences in mortality and cardiac event.
Not available
S-EPMC9237295 | biostudies-literature
ProteomicsImmunoglobulin-Associated Proteome (IgAP) in Patients of Acute Myocardial Infarction and Chronic Coronary Syndromes
Immunoglobulin-Associated Proteome (IgAP) data of acute myocardial infarction (AMI), coronary syndromes (CCS) and non-CCS/AMI (NCA) individuals
ORGANISM(S): Homo Sapiens 
2021-11-20 | PXD029857 |
UnknownInflammation and its resolution as determinants of acute coronary syndromes.
Not available
S-EPMC4078767 | biostudies-literature
UnknownObjectives and Design of the Russian Acute Coronary Syndrome Registry (RusACSR).
Not available
S-EPMC6490746 | biostudies-literature
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