Uncovering potential differentially expressed miRNAs and targeted mRNAs in myocardial infarction based on integrating analysis

Bioinformatics strategies to identify differences in molecular biomarkers for ischemic stroke and myocardial infarction

Ischemic strokes (ISs) are commonly treated by intravenous thrombolysis using a recombinant tissue plasminogen activator; however, successful treatment can only occur within 3 hours after the stroke. Therefore, it is crucial to determine the causes and underlying molecular mechanisms, identify molecular biomarkers for early diagnosis, and develop precise preventive treatments for strokes. We aimed to clarify the differences in gene expression, molecular mechanisms, and drug prediction approaches between IS and myocardial infarction (MI) using comprehensive bioinformatics analysis. The pathogenesis of these diseases was explored to provide directions for future clinical research. The IS (GSE58294 and GSE16561) and MI (GSE60993 and GSE141512) datasets were downloaded from the Gene Expression Omnibus database. IS and MI transcriptome data were analyzed using bioinformatics methods, and the differentially expressed genes (DEGs) were screened. A protein-protein interaction network was constructed using the STRING database and visualized using Cytoscape, and the candidate genes with high confidence scores were identified using Degree, MCC, EPC, and DMNC in the cytoHubba plug-in. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the DEGs were performed using the database annotation, visualization, and integrated discovery database. Network Analyst 3.0 was used to construct transcription factor (TF) - gene and microRNA (miRNA) - gene regulatory networks of the identified candidate genes. The DrugBank 5.0 database was used to identify gene-drug interactions. After bioinformatics analysis of IS and MI microarray data, 115 and 44 DEGS were obtained in IS and MI, respectively. Moreover, 8 hub genes, 2 miRNAs, and 3 TFs for IS and 8 hub genes, 13 miRNAs, and 2 TFs for MI were screened. The molecular pathology between IS and MI presented differences in terms of GO and KEGG enrichment pathways, TFs, miRNAs, and drugs. These findings provide possible directions for the diagnosis of IS and MI in the future.

From multi-omics approaches to personalized medicine in myocardial infarction

Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.

Silencing of Hsa_circ_0055440 Alleviates Hypoxia-Induced Cardiomyocyte Injury by Regulating the MiR-499b-5p/ACSL1 Axis

Circular RNAs (circRNAs) are a new type of regulatory RNAs, which are involved in various cardiac processes. However, the role of circRNA hsa_circ_0055440 (circ-USP39) in acute myocardial infarction regulation has not been studied yet.This study aims to explore the effect of circ-USP39 on hypoxia-induced cardiomyocyte injury.The head-to-tail splicing of circ-USP39 was verified by agarose gel electrophoresis. AC16 cell viability was detected using 3- (4,5-dimethylthiazol-2-yl) -2,5-diphenyltetrazolium bromide assays. The apoptosis of the AC16 cell was determined by flow cytometry and detection of caspase-3 activity. The levels of creatine kinase-muscle/brain and cTnl were evaluated by specific detection kits. The interactions between miR-499b-5p and circ-USP39 (or acyl-CoA synthetase long-chain family member-1 (ACSL1) ) were verified by luciferase reporter assays.After confirming the circular characteristics of circ-USP39, we further found that the circ-USP39 expression was upregulated in hypoxia-induced cardiomyocytes and the circ-USP39 knockdown facilitated the viability of hypoxia-induced AC16, while suppressing cardiomyocyte apoptosis and injury. Importantly, circ-USP39 negatively regulated miR-499b-5p expression. As a downstream target of miR-499b-5p, ACSL1 partially counteracted the protective effect of circ-USP39 depletion on cardiomyocyte injury.Silencing of circ-USP39 alleviates hypoxia-induced cardiomyocyte injury via the miR-499b-5p/ACSL1 axis.

Identification of a dysregulated CircRNA-associated gene signature for predicting prognosis, immune landscape, and drug candidates in bladder cancer

Increasing evidences have demonstrated that circular RNA (circRNAs) plays a an essential regulatory role in initiation, progression and immunotherapy resistance of various cancers. However, circRNAs have rarely been studied in bladder cancer (BCa). The purpose of this research is to explore new circRNAs and their potential mechanisms in BCa. A novel ceRNA-regulated network, including 87 differentially expressed circRNAs (DE-circRNAs), 126 DE-miRNAs, and 217 DE-mRNAs was constructed to better understanding the biological processes using Cytoscape 3.7.1 based on our previously high-throughput circRNA sequencing and five GEO datasets. Subsequently, five randomly selected circRNAs (upregulated circ_0001681; downregulated circ_0000643, circ_0001798, circ_0006117 and circ_0067900) in 20 pairs of BCa and paracancerous tissues were confirmed using qRT-PCR. Functional analysis results determined that 772 GO functions and 32 KEGG pathways were enriched in the ceRNA network. Ten genes (PFKFB4, EDNRA, GSN, GAS1, PAPPA, DTL, TGFBI, PRSS8, RGS1 and TCF4) were selected for signature construction among the ceRNA network. The Human Protein Atlas (HPA) expression of these genes were consistent with the above sequencing data. Notably, the model was validated in multiple external datasets (GSE13507, GSE31684, GSE48075, IMvigor210 and GSE32894). The immune-infiltration was evaluated by 7 published algorithms (i.e., TIMER, CIBERSORT, CIBERSORT-ABS, QUANTISEQ, MCPCOUNTER, XCELL and EPIC). Next, Correlations between riskscore or risk groups and clinicopathological data, overall survival, recognized immunoregulatory cells or common chemotherapeutic agents of BCa patients were performed using wilcox rank test, chi-square test, cox regression and spearman’s correlation analysis; and, these results are significant. According to R package “GSVA” and “clusterProfiler”, the most significantly enriched HALLMARK and KEGG pathway was separately the ‘Epithelial Mesenchymal Transition’ and ‘Ecm Receptor Interaction’ in the high- vs. low-risk group. Additionally, the functional experiments in vitro also revealed that the overexpression of has_circ_0067900 significantly impaired the proliferation, migration, and invasion capacities of BCa cells. Collectively, the results of the current study provide a novel landscape of circRNA-associated ceRNA-regulated network in BCa. The ceRNA-associated gene model which was constructed presented a high predictive performance for the prognosis, immunotherapeutic responsiveness, and chemotherapeutic sensitivity of BCa. And, has_circ_0067900 was originally proposed as tumor suppressor for patients with BCa.

Transcription factor JDP2 activates PDE4B to participate in hypoxia/reoxygenation‑induced H9c2 cell injury

Myocardial ischemia/reperfusion (I/R) injury is a clinical challenge in the treatment of acute myocardial infarction (AMI). Phosphodiesterase 4B (PDE4B) expression is upregulated in AMI tissues. Thus, the present study aimed to investigate the role of PDE4B in myocardial I/R injury. H9c2 cardiomyocytes were subjected to hypoxia/reoxygenation (H/R) to establish an in vitro myocardial I/R model. PDE4B expression was detected via reverse transcription-quantitative PCR (RT-qPCR) and western blotting before and after transfection with PDE4B interference plasmids in H/R-stimulated H9c2 cells. Cell viability and cytotoxicity were assessed using the Cell Counting Kit-8 and lactate dehydrogenase assays, respectively. Furthermore, oxidative stress was assessed using malondialdehyde, superoxide dismutase and glutathione/glutathione oxidized ratio detection kits. Cell apoptosis was detected via a TUNEL assay and western blotting. c-Jun dimerization protein 2 (JDP2) expression was also detected via RT-qPCR and western blotting. The dual luciferase reporter and chromatin immunoprecipitation assays were performed to verify the interaction between JDP2 and PDE4B. Following co-transfection with PDE4B interference plasmid and JDP2 overexpression plasmid, cell viability, cytotoxicity, oxidative stress and cell apoptosis were assessed. The results demonstrated that PDE4B knockdown reversed H/R-induced loss of viability and cytotoxicity of H9c2 cells. H/R-induced oxidative stress and cardiomyocyte apoptosis were also alleviated by PDE4B knockdown. In addition, the transcription factor JDP2 was expressed at high levels in H/R-stimulated H9c2 cells, and JDP2 overexpression upregulated PDE4B expression. Notably, JDP2 overexpression partly reversed the ameliorative effect of PDE4B knockdown on H/R-induced H9c2 injury. Taken together, the results of the present study suggested that JDP2-activated PDE4B contributed to H/R-induced H9c2 cell injury.

JDP2, a Novel Molecular Key in Heart Failure and Atrial Fibrillation?

Heart failure (HF) and atrial fibrillation (AF) are two major life-threatening diseases worldwide. Causes and mechanisms are incompletely understood, yet current therapies are unable to stop disease progression. In this review, we focus on the contribution of the transcriptional modulator, Jun dimerization protein 2 (JDP2), and on HF and AF development. In recent years, JDP2 has been identified as a potential prognostic marker for HF development after myocardial infarction. This close correlation to the disease development suggests that JDP2 may be involved in initiation and progression of HF as well as in cardiac dysfunction. Although no studies have been done in humans yet, studies on genetically modified mice impressively show involvement of JDP2 in HF and AF, making it an interesting therapeutic target.