Objectives: This study sought to explore the association between baseline levels of microRNAs (miRNAs) (1995) and incident myocardial infarction (1995 to 2005) in the Bruneck cohort and determine their cellular origin.

Background: Circulating miRNAs are emerging as potential biomarkers. We previously identified an miRNA signature for type 2 diabetes in the general population.

Methods: A total of 19 candidate miRNAs were quantified by real-time polymerase chain reactions in 820 participants.

Results: In multivariable Cox regression analysis, 3 miRNAs were consistently and significantly related to incident myocardial infarction: miR-126 showed a positive association (multivariable hazard ratio: 2.69 [95% confidence interval: 1.45 to 5.01], p = 0.002), whereas miR-223 and miR-197 were inversely associated with disease risk (multivariable hazard ratio: 0.47 [95% confidence interval: 0.29 to 0.75], p = 0.002, and 0.56 [95% confidence interval: 0.32 to 0.96], p = 0.036). To determine their cellular origin, healthy volunteers underwent limb ischemia-reperfusion generated by thigh cuff inflation, and plasma miRNA changes were analyzed at baseline, 10 min, 1 h, 5 h, 2 days, and 7 days. Computational analysis using the temporal clustering by affinity propagation algorithm identified 6 distinct miRNA clusters. One cluster included all miRNAs associated with the risk of future myocardial infarction. It was characterized by early (1 h) and sustained activation (7 days) post-ischemia-reperfusion injury and consisted of miRNAs predominantly expressed in platelets.

Conclusions: In subjects with subsequent myocardial infarction, differential co-expression patterns of circulating miRNAs occur around endothelium-enriched miR-126, with platelets being a major contributor to this miRNA signature.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jacc.2012.03.056DOI Listing

Publication Analysis

Top Keywords

myocardial infarction
20
[95% confidence
12
confidence interval
12
incident myocardial
8
determine cellular
8
circulating mirnas
8
mirna signature
8
multivariable hazard
8
hazard ratio
8
mirnas
7

Similar Publications

Ventricular arrhythmias induced by ischemia/reperfusion injury limits the therapeutic effect of early reperfusion therapy for acute myocardial infarction. This study investigated the protective effects of the β2-adrenergic receptor (β2-AR) agonist clenbuterol against ischemia/reperfusion-induced arrhythmias and the underlying mechanism. Anesthetized rats were subjected to 10-min left coronary artery occlusion and 10-min reperfusion in vivo.

View Article and Find Full Text PDF

Background: Primary percutaneous coronary intervention (PPCI) and fibrinolytic or thrombolytic therapy are common treatments for ST-elevation myocardial infarction (STEMI). Primary percutaneous coronary intervention is more effective than thrombolytic therapy, but fibrinolytic therapy is still a preferable option for patients with limited access to healthcare. Alteplase is a tissue plasminogen activator (tPA) used to treat acute myocardial infarction, acute ischemic stroke, and pulmonary embolism.

View Article and Find Full Text PDF

The concomitant use of IMPELLA and veno-arterial extracorporeal membrane oxygenation (V-A ECMO) (ECPELLA) has been increasingly used to treat severe cardiogenic shock. However, the relationship between severity of heart failure on admission and prognosis based on differences in the mechanical circulatory support (MCS) is not fully understood. This study evaluated the association between lactate levels on admission and clinical outcomes based on differences in MCS.

View Article and Find Full Text PDF

Fast and interpretable mortality risk scores for critical care patients.

J Am Med Inform Assoc

January 2025

Department of Computer Science, Duke University, Durham, NC 27708, United States.

Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.

Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.

View Article and Find Full Text PDF

Background: Acute myocardial infarction (AMI), a subset of acute coronary syndrome, remains the major cause of mortality worldwide. Mitochondrial dysfunction is critically involved in AMI progression, and mitophagy plays a vital role in eliminating damaged mitochondria. This study aimed to explore mitophagy-related biomarkers and their potential molecular basis in AMI.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!