Programming of cardiac metabolism by miR-15b-5p, a miRNA released in cardiac extracellular vesicles following ischemia-reperfusion injury

Role of Maternal Obesity in Offspring Cardiovascular Development and Congenital Heart Defects

BACKGROUND

Congenital heart disease is a leading cause of death in newborns, yet many of its molecular mechanisms remain unknown. Both maternal obesity and diabetes increase the risk of congenital heart disease in offspring, with recent studies suggesting these conditions may have distinct teratogenic mechanisms. The global prevalence of obesity is rising, and while maternal obesity is a known risk factor for fetal congenital heart disease, the specific mechanisms are largely unexplored.

METHODS AND RESULTS

We used a murine model of diet-induced maternal obesity, without diabetes, to produce dams that were overweight but had normal blood glucose levels. Embryos were generated and their developing hearts analyzed. Transcriptome analysis was performed using single-nucleus and bulk RNA sequencing. Global and phospho-enriched proteome analysis was performed using tandem mass tag-mass spectroscopy. Immunobloting and histologic evaluation were also performed. Analysis revealed disrupted oxidative phosphorylation and reactive oxygen species formation, with reduced antioxidant capacity, evidenced by downregulation of genes Sod1 and Gp4x, and disrupted Hif1a signaling. Evidence of oxidative stress, cell death signaling, and alteration in Rho GTPase and actin cytoskeleton signaling was also observed. Genes involved in cardiac morphogenesis, including Hand2, were downregulated, and fewer mature cardiomyocytes were present. Histologic analysis confirmed increased cardiac defects in embryos exposed to maternal obesity.

CONCLUSIONS

These findings demonstrate that maternal obesity alone can result in cardiac defects through mechanisms similar to those associated with maternal hyperglycemia. This study provides valuable insight into the role of maternal obesity, a growing and modifiable risk factor, in the development of the most common birth defect, congenital heart disease.

Stem-Cell Derived Exosomal microRNAs as Biomarkers and Therapeutics for Pediatric Cardiovascular Disease

Purpose of Review

In recent years, several pre-clinical studies have demonstrated the therapeutic potential of stem cell-derived exosomes in the treatment of cardiovascular disease (CVD). Here, we evaluate their potential as biomarkers for the detection and monitoring of CVD, with a particular focus on pediatric heart disease.

Recent Findings

Exosomes isolated from stem cell sources, including mesenchymal stem cells (MSCs) and pluripotent stem cells (PSCs), benefit cardiovascular function, inflammatory responses, and angiogenesis in injured and diseased hearts. These exosomes carry a variety of cargo, such as proteins, lipids, and nucleic acids. However, the majority contain non-coding RNA molecules.

Summary

Review of the existing literature for several non-coding RNAs and their relationship to CVD suggests that exosomes containing microRNAs (miRNAs) can serve as promising biomarkers for CVD due to their presence in circulation, ease of isolation, and therapeutic potential. These biomarkers are especially promising as screening and diagnostic tools for the early detection of pediatric and congenital heart disease.

Expression of miR-15b-5p and toll-like receptor4 as potential novel diagnostic biomarkers for hepatitis C virus-induced hepatocellular carcinoma

Objectives

Globally, hepatocellular Carcinoma (HCC) ranks seventh in women's cancer and fifth in men's cancer. Early identification can minimize mortality and morbidity. MicroRNAs and Toll-like receptors have been suggested as potential new biomarkers for HCC; Therefore, we explored Toll-like receptor 4 (TLR-4) and miRNA 15b-5p as new non-invasive HCC biomarkers and early detection approaches.

Methodology

In this case-control study, four primary groups were formed from 400 patients who participated in this study: 100 hepatitis C (HCV) patients without cirrhosis or HCC, 100 HCV with cirrhosis patients, 100 HCC and HCV patients, and 100 healthy controls. The HCC diagnosis was confirmed according to the American Association for the Study of Liver Disease (AASLD) Practice Guidelines. Triphasic computed tomography was used to assess the HCC tumor size. Real-time PCR was used to analyze miRNA 15b-5p and Toll-like receptor 4 (TLR-4) expression profiles.

Results

Significant diagnostic performance was achieved by miRNA 15b-5p in differentiating the HCC group from the control group, with 90 % sensitivity and 88 % specificity (AUC] 0.935, p < 0.001), while TLR-4 had moderate diagnostic performance with 85 % sensitivity and 86 % specificity (AUC:0.885, p < 0.001).

Conclusions

The ability of miR-15b-5p to recognize HCC was positive and it outperformed Toll-like receptor4. MiR-15b-5p has the potential to be a more precise and predictive biological marker for HCC than Toll-like receptor4. Future studies exploring different miRNAs and HCC cases from various etiologies are required to better understand the role of miRNAs in this disease and allow for more effective strategies.

Heart-derived factors and organ cross-talk in settings of health and disease: new knowledge and clinical opportunities for multimorbidity

Cardiovascular disease affects millions of people worldwide and often presents with other conditions including metabolic, renal and neurological disorders. A variety of secreted factors from multiple organs/tissues (proteins, nucleic acids and lipids) have been implicated in facilitating organ cross-talk that may contribute to the development of multimorbidity. Secreted proteins have received the most attention, with the greatest body of research related to factors released from adipose tissue (adipokines), followed by skeletal muscle (myokines). To date, there have been fewer studies on proteins released from the heart (cardiokines) implicated with organ cross-talk. Early evidence for the secretion of cardiac-specific factors facilitating organ cross-talk came in the form of natriuretic peptides which are secreted via the classical endoplasmic reticulum-Golgi pathway. More recently, studies in cardiomyocyte-specific genetic mouse models have revealed cardiac-initiated organ cross-talk. Cardiomyocyte-specific modulation of microRNAs (miR-208a and miR-23-27-24 cluster) and proteins such as the mediator complex subunit 13 (MED13), G-protein-coupled receptor kinase 2 (GRK2), mutant α-myosin heavy-chain (αMHC), ubiquitin-like modifier-activating enzyme (ATG7), oestrogen receptor alpha (ERα) and fibroblast growth factor 21 (FGF21) have resulted in metabolic and renal phenotypes. These studies have implicated a variety of factors which can be secreted via the classical pathway or via non-classical mechanisms including the release of extracellular vesicles. Cross-talk between the heart and the brain has also been described (e.g. via miR-1 and an emerging concept, interoception: detection of internal neural signals). Here we summarize these studies taking into consideration that factors may be secreted in both settings of health and in disease.

CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA-Disease Association Prediction

Numerous biological experiments have demonstrated that microRNA (miRNA) is involved in gene regulation within cells, and mutations and abnormal expression of miRNA can cause a myriad of intricate diseases. Forecasting the association between miRNA and diseases can enhance disease prevention and treatment and accelerate drug research, which holds considerable importance for the development of clinical medicine and drug research. This investigation introduces a contrastive learning-augmented hypergraph neural network model, termed CLHGNNMDA, aimed at predicting associations between miRNAs and diseases. Initially, CLHGNNMDA constructs multiple hypergraphs by leveraging diverse similarity metrics related to miRNAs and diseases. Subsequently, hypergraph convolution is applied to each hypergraph to extract feature representations for nodes and hyperedges. Following this, autoencoders are employed to reconstruct information regarding the feature representations of nodes and hyperedges and to integrate various features of miRNAs and diseases extracted from each hypergraph. Finally, a joint contrastive loss function is utilized to refine the model and optimize its parameters. The CLHGNNMDA framework employs multi-hypergraph contrastive learning for the construction of a contrastive loss function. This approach takes into account inter-view interactions and upholds the principle of consistency, thereby augmenting the model's representational efficacy. The results obtained from fivefold cross-validation substantiate that the CLHGNNMDA algorithm achieves a mean area under the receiver operating characteristic curve of 0.9635 and a mean area under the precision-recall curve of 0.9656. These metrics are notably superior to those attained by contemporary state-of-the-art methodologies.

Pregnancy in obese women and mechanisms of increased cardiovascular risk in offspring

Pregnancy complicated by maternal obesity contributes to an increased cardiovascular risk in offspring, which is increasingly concerning as the rates of obesity and cardiovascular disease are higher than ever before and still growing. There has been much research in humans and preclinical animal models to understand the impact of maternal obesity on offspring health. This review summarizes what is known about the offspring cardiovascular phenotype, describing a mechanistic role for oxidative stress, metabolic inflexibility, and mitochondrial dysfunction in mediating these impairments. It also discusses the impact of secondary postnatal insults, which may reveal latent cardiovascular deficits that originated in utero. Finally, current interventional efforts and gaps of knowledge to limit the developmental origins of cardiovascular dysfunction in offspring of obese pregnancy are highlighted.

Leveraging metabolism for better outcomes in heart failure

Whilst metabolic inflexibility and substrate constraint have been observed in heart failure for many years, their exact causal role remains controversial. In parallel, many of our fundamental assumptions about cardiac fuel use are now being challenged like never before. For example, the emergence of sodium-glucose cotransporter 2 inhibitor therapy as one of the four 'pillars' of heart failure therapy is causing a revisit of metabolism as a key mechanism and therapeutic target in heart failure. Improvements in the field of cardiac metabolomics will lead to a far more granular understanding of the mechanisms underpinning normal and abnormal human cardiac fuel use, an appreciation of drug action, and novel therapeutic strategies. Technological advances and expanding biorepositories offer exciting opportunities to elucidate the novel aspects of these metabolic mechanisms. Methodologic advances include comprehensive and accurate substrate quantitation such as metabolomics and stable-isotope fluxomics, improved access to arterio-venous blood samples across the heart to determine fuel consumption and energy conversion, high quality cardiac tissue biopsies, biochemical analytics, and informatics. Pairing these technologies with recent discoveries in epigenetic regulation, mitochondrial dynamics, and organ-microbiome metabolic crosstalk will garner critical mechanistic insights in heart failure. In this state-of-the-art review, we focus on new metabolic insights, with an eye on emerging metabolic strategies for heart failure. Our synthesis of the field will be valuable for a diverse audience with an interest in cardiac metabolism.

Cell Type-Specific Extracellular Vesicles and Their Impact on Health and Disease

Extracellular vesicles (EVs), a diverse group of cell-derived exocytosed particles, are pivotal in mediating intercellular communication due to their ability to selectively transfer biomolecules to specific cell types. EVs, composed of proteins, nucleic acids, and lipids, are taken up by cells to affect a variety of signaling cascades. Research in the field has primarily focused on stem cell-derived EVs, with a particular focus on mesenchymal stem cells, for their potential therapeutic benefits. Recently, tissue-specific EVs or cell type-specific extracellular vesicles (CTS-EVs), have garnered attention for their unique biogenesis and molecular composition because they enable highly targeted cell-specific communication. Various studies have outlined the roles that CTS-EVs play in the signaling for physiological function and the maintenance of homeostasis, including immune modulation, tissue regeneration, and organ development. These properties are also exploited for disease propagation, such as in cancer, neurological disorders, infectious diseases, autoimmune conditions, and more. The insights gained from analyzing CTS-EVs in different biological roles not only enhance our understanding of intercellular signaling and disease pathogenesis but also open new avenues for innovative diagnostic biomarkers and therapeutic targets for a wide spectrum of medical conditions. This review comprehensively outlines the current understanding of CTS-EV origins, function within normal physiology, and implications in diseased states.