Application of microRNA Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease

• Main Authors: Jennifer L. Major, Rushita A. Bagchi, Julie Pires da Silva
• Format: Article
• Language: English
• Published: MDPI AG 2021-12-01
• Series: Methods and Protocols
• Subjects: microRNA; HMDD v3.2; ischemia-reperfusion; obesity; coronary artery disease; stroke
• Online Access: https://www.mdpi.com/2409-9279/4/1/5

Over the past two decades, it has become increasingly evident that microRNAs (miRNA) play a major role in human diseases such as cancer and cardiovascular diseases. Moreover, their easy detection in circulation has made them a tantalizing target for biomarkers of disease. This surge in interest has led to the accumulation of a vast amount of miRNA expression data, prediction tools, and repositories. We used the Human microRNA Disease Database (HMDD) to discover miRNAs which shared expression patterns in the related diseases of ischemia/reperfusion injury, coronary artery disease, stroke, and obesity as a model to identify miRNA candidates for biomarker and/or therapeutic intervention in complex human diseases. Our analysis identified a single miRNA, hsa-miR-21, which was casually linked to all four pathologies, and numerous others which have been detected in the circulation in more than one of the diseases. Target analysis revealed that hsa-miR-21 can regulate a number of genes related to inflammation and cell growth/death which are major underlying mechanisms of these related diseases. Our study demonstrates a model for researchers to use HMDD in combination with gene analysis tools to identify miRNAs which could serve as biomarkers and/or therapeutic targets of complex human diseases.