Exosomal microRNA‑4516, microRNA‑203 and SFRP1 are potential biomarkers of acute myocardial infarction

The diagnostic and prognostic value of serum miR-199a-5p combined with echocardiography in acute myocardial infarction

BACKGROUND

Diagnosis and prognostic evaluation of acute myocardial infarction (AMI) are crucial for patients.

OBJECTIVE

The clinical significance of serum miR-199a-5p combined with echocardiography in AMI was investigated to provide some reference for clinical treatment.

METHODS

The study subjects were 90 AMI patients and 50 acute chest pain patients (control). All patients were examined by echocardiography and recorded LVEDV, LVESV, and LVEF. RT-qPCR was performed to detect the serum miR-199a-5p level. Pearson analysis was used to analyze the correlation of miR-199a-5p with LVEF and cTnI. The diagnostic value of miR-199a-5p combined with LVEDV, LVESV, and LVEF was assessed by the ROC curve. The occurrence of major adverse cardiovascular events (MACE) was recorded to analyze the prognostic value of miR-199a-5p by the Kaplan-Meier curve and Cox regression.

RESULTS

Serum miR-199a-5p was elevated in AMI, positively correlated with cTnI and negatively correlated with LVEF. The combination of miR-199a-5p with LVEDV, LVESV, and LVEF enhanced the sensitivity and specificity for the diagnosis of AMI. Patients with high miR-199a-5p expression were more likely to develop MACE. The combination of miR-199a-5p with LVEF improved the prediction of MACE.

CONCLUSIONS

The combination of miR-199a-5p with echocardiography improved the diagnostic efficiency of AMI and provided prognostic information.

Engineering extracellular vesicles for targeted therapeutics in cardiovascular disease

Extracellular vesicles (EVs) are nanosized particles secreted by cells that play crucial roles in intercellular communication, especially in the context of cardiovascular diseases (CVDs). These vesicles carry complex cargo, including proteins, lipids, and nucleic acids, that reflects the physiological or pathological state of their cells of origin. Multiomics analysis of cell-derived EVs has provided valuable insights into the molecular mechanisms underlying CVDs by identifying specific proteins and EV-bound targets involved in disease progression. Recent studies have demonstrated that engineered EVs, which are designed to carry specific therapeutic molecules or modified to enhance their targeting capabilities, hold promise for treating CVDs. Analysis of the EV proteome has been instrumental in identifying key proteins that can be targeted or modulated within these engineered vesicles. For example, proteins involved in inflammation, thrombosis, and cardiac remodeling have been identified as potential therapeutic targets. Furthermore, the engineering of EVs to increase their delivery to specific tissues, such as the myocardium, or to modulate their immunogenicity and therapeutic efficacy is an emerging area of research. By leveraging the insights gained from multiomics analyses, researchers are developing EV-based therapies that can selectively target pathological processes in CVDs, offering a novel and potentially more effective treatment strategy. This review integrates the core findings from EV multiomics analysis in the context of CVDs and highlights the potential of engineered EVs in therapeutic applications.

An exploration into the diagnostic capabilities of microRNAs for myocardial infarction using machine learning

BACKGROUND

MicroRNAs (miRNAs) have shown potential as diagnostic biomarkers for myocardial infarction (MI) due to their early dysregulation and stability in circulation after MI. Moreover, they play a crucial role in regulating adaptive and maladaptive responses in cardiovascular diseases, making them attractive targets for potential biomarkers. However, their potential as novel biomarkers for diagnosing cardiovascular diseases requires systematic evaluation.

METHODS

This study aimed to identify a miRNA biomarker panel for early-stage MI detection using bioinformatics and machine learning (ML) methods. miRNA expression data were obtained for early-stage MI patients and healthy controls from the Gene Expression Omnibus. Separate datasets were allocated for training and independent testing. Differential expression analysis was performed to identify dysregulated miRNAs in the training set. The least absolute shrinkage and selection operator (LASSO) was applied for feature selection to prioritize relevant miRNAs associated with MI. The selected miRNAs were used to develop ML models including support vector machine, Gradient Boosted, XGBoost, and a hard voting ensemble (HVE).

RESULTS

Differential expression analysis discovered 99 dysregulated miRNAs in the training set. LASSO feature selection prioritized 21 miRNAs. Ten miRNAs were identified in both the LASSO subset and independent test set. The HVE model trained with the selected miRNAs achieved an accuracy of 0.86 and AUC of 0.83 on the independent test set.

CONCLUSIONS

An integrated framework for robust miRNA selection from omics data shows promise for developing accurate diagnostic models for early-stage MI detection. The HVE model demonstrated good performance despite differences between training and test datasets.

Multi-omics analysis identified extracellular vesicles as biomarkers for cardiovascular diseases

Cell-derived extracellular vesicles (EVs) have emerged as a promising non-invasive liquid biopsy technique due to their accessibility and their ability to encapsulate and transport diverse biomolecules. EVs have garnered substantial research interest, notably in cardiovascular diseases (CVDs), where their roles in pathophysiology and as diagnostic and prognostic biomarkers are increasingly recognized. This review provides a comprehensive overview of EVs, starting with their origins, followed by the techniques used for their isolation and characterization. We explore the diverse cargo of EVs, including nucleic acids, proteins, lipids, and metabolites, highlighting their roles in intercellular communication and as potential biomarkers. We then delve into the application of genomics, transcriptomics, proteomics, and metabolomics in the analysis of EVs, particularly within the context of CVDs. Finally, we discuss how integrated multi-omics approaches are unveiling novel biomarkers, offering fresh insights into the diagnosis and prognosis of CVDs. This review underscores the growing importance of EVs in clinical diagnostics and the potential of multi-omics to propel future advancements in CVD biomarker discovery.

Impact of microRNAs on cardiovascular diseases and aging

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality for both men and women among all ethnicities worldwide. Although significant improvements in the management of CVD occurred in the 20th century, non-invasive, universal, early diagnostic biomarkers and newer therapeutic drugs are needed for clinical treatment by physicians. MicroRNAs (miRNAs) are a class of endogenous, non-coding, single-stranded, small RNA molecules that are critically controlled by all human biological processes. Moreover, dysregulated miRNA expression is directly involved in various CVDs, including stable coronary artery disease and acute coronary syndrome. Several miRNAs that are enriched in the plasma of CVD patients have potential as clinical biomarkers, and overexpression or inhibition of specific miRNAs has novel therapeutic significance in the management of CVD. Aging is a multifactorial physiological process that gradually deteriorates tissue and organ function and is considered a non-modifiable major risk factor for CVDs. Recently, several studies established that various miRNAs essentially regulate aging and aging-related disease processes. This narrative review briefly discusses the recently updated molecular involvement of miRNAs in CVDs, their possible diagnostic, prognostic, and therapeutic value, and their relationship to the aging process.

Circulating extracellular vesicles as biomarkers in the diagnosis, prognosis and therapy of cardiovascular diseases

Cardiovascular disease (CVD) ranks among the primary contributors to worldwide mortality. Hence, the importance of constant research on new circulating biomarkers for the improvement of early diagnosis and prognostication of different CVDs and the development and refinement of therapeutic measures is critical. Extracellular vesicles (EV) have a great potential as diagnostic and prognostic markers, as they represent their parent cell by enclosing cell-specific molecules, which can differ in quality and quantity based on cell state. Assuming that all cell types of the cardiovascular system are capable of releasing EV into circulation, an emerging body of evidence has investigated the potential role of serum- or plasma-derived EV in CVD. Comprehensive research has unveiled alterations in EV quantity and EV-bound cargo in the form of RNA, proteins and lipids in the context of common CVDs such as coronary artery disease, atrial fibrillation, heart failure or inflammatory heart diseases, highlighting their diagnostic and prognostic relevance. In numerous in vitro and in vivo models, EV also showed promising therapeutic potential. However, translation of EV studies to a preclinical or clinical setting has proven to be challenging. This review is intended to provide an overview of the most relevant studies in the field of serum or plasma-derived EV.

Detailed role of mesenchymal stem cell (MSC)-derived exosome therapy in cardiac diseases

Coronary heart disease (CHD) continues to be the leading cause of morbidity and mortality. There are numerous therapeutic reperfusion methods, including thrombolytic therapy, primary percutaneous coronary intervention, and anti-remodeling drugs like angiotensin-converting enzyme inhibitors and beta-blockers. Despite this, there is no pharmacological treatment that can effectively stop cardiomyocyte death brought on by myocardial ischemia/reperfusion (I/R) injury. For the purpose of regenerating cardiac tissue, mesenchymal stem cell (MSC) therapy has recently gained more attention. The pleiotropic effects of MSCs are instead arbitrated by the secretion of soluble paracrine factors and are unrelated to their capacity for differentiation. One of these paracrine mediators is the extracellular vesicle known as an exosome. Exosomes deliver useful cargo to recipient cells from MSCs, including peptides, proteins, cytokines, lipids, miRNA, and mRNA molecules. Exosomes take part in intercellular communication processes and help tissues and organs that have been injured or are ill heal. Exosomes alone were found to be the cause of MSCs' therapeutic effects in a variety of animal models, according to studies. Here, we have focused on the recent development in the therapeutic capabilities of exosomal MSCs in cardiac diseases.

Unraveling the Signaling Dynamics of Small Extracellular Vesicles in Cardiac Diseases

Effective intercellular communication is essential for cellular and tissue balance maintenance and response to challenges. Cellular communication methods involve direct cell contact or the release of biological molecules to cover short and long distances. However, a recent discovery in this communication network is the involvement of extracellular vesicles that host biological contents such as proteins, nucleic acids, and lipids, influencing neighboring cells. These extracellular vesicles are found in body fluids; thus, they are considered as potential disease biomarkers. Cardiovascular diseases are significant contributors to global morbidity and mortality, encompassing conditions such as ischemic heart disease, cardiomyopathies, electrical heart diseases, and heart failure. Recent studies reveal the release of extracellular vesicles by cardiovascular cells, influencing normal cardiac function and structure. However, under pathological conditions, extracellular vesicles composition changes, contributing to the development of cardiovascular diseases. Investigating the loading of molecular cargo in these extracellular vesicles is essential for understanding their role in disease development. This review consolidates the latest insights into the role of extracellular vesicles in diagnosis and prognosis of cardiovascular diseases, exploring the potential applications of extracellular vesicles in personalized therapies, shedding light on the evolving landscape of cardiovascular medicine.