No abstract available.
MicroRNAs*

No abstract available.
MicroRNAs

MicroRNAs (miRNAs) are short, single-stranded non-coding RNAs that control gene expression by annealing to complementary sequences in mRNAs. They are estimated to regulate at least one third of human transcripts and hence, manipulation of these miRNAs can profoundly affect the proteome and ultimately cellular phenotypes. A substantial amount of work has shed light on the crucial roles of miRNAs in diseases. miRNA expression profiles between normal and diseased tissues have identified miRNA signature patterns that correlate to disease development and progression. This review discusses some of the important miRNAs that are involved in endothelial cell senescence and dysfunction that contribute to the development and progression of cardiovascular diseases.
MicroRNAs

MicroRNAs

No abstract available.
MicroRNAs

Background: Heart failure (HF) is a complex clinical syndrome with signs and symptoms resulting from any structural dysfunction of ventricular filling or blood ejection. miRNAs were known as essential regulators and tissue-specifically expressed. MicroRNA-155 (miR-155) expression in macrophages is already well known to promote hypertrophy, cardiac inflammation, and failure due to pressure overload. In this study, we aim to identify the role of expression miR-155 as a potential biomarker for HF. Method: We incorporated search engines from Google Scholar, PubMed, EBSCO Host, and ProQuest to search the articles. Newcastle Ottawa Scale (NOS) was used to evaluate the bias risk in the case-control research. A systematic database search reveals 6 relevant studies. Results: This research found that miR-155 levels were significantly higher in heart failure patients than in the MI and control groups. MiR-155's plasma levels in heart failure are higher than the control group, with a cut-off value of 0.8591, a sensitivity value of 98.5%, and a specificity value of 64.6%. However, miRNA expression patterns do not appear to differ significantly between pf and cf LVAD. Most cardiac changes and clinical outcomes specific to each device are independent of differences in miRNA expression levels. According to one study, miR-155, a diagnostic biomarker for heart failure, had a specificity of 92.14% and a cutoff value of 1.77%. Conclusion Our systematic review showed that miR-155 could be a potential new diagnostic biomarker in HF patients.
MicroRNAs

No abstract available.
Irritable Bowel Syndrome* ; MicroRNAs*

To identify miRNA-mRNA interaction pairs associated with binary phenotypes, we propose a hierarchical structural component model for miRNA-mRNA integration (HisCoM-mimi). Information on known mRNA targets provided by TargetScan is used to perform HisCoM-mimi. However, multiple databases can be used to find miRNA-mRNA signatures with known biological information through different algorithms. To take these additional databases into account, we present our advanced application software for HisCoM-mimi for binary phenotypes. The proposed HisCoM-mimi supports both TargetScan and miRTarBase, which provides manually-verified information initially gathered by text-mining the literature. By integrating information from miRTarBase into HisCoM-mimi, a broad range of target information derived from the research literature can be analyzed. Another improvement of the new HisCoM-mimi approach is the inclusion of updated algorithms to provide the lasso and elastic-net penalties for users who want to fit a model with a smaller number of selected miRNAs and mRNAs. We expect that our HisCoM-mimi software will make advanced methods accessible to researchers who want to identify miRNA-mRNA interaction pairs related with binary phenotypes.
MicroRNAs ; Phenotype ; RNA, Messenger

Lipid Metabolism ; MicroRNAs

Cardiovascular Diseases ; Humans ; MicroRNAs