Abstract
Type 2 Diabetes Mellitus (T2DM) and cardiac hypertrophy (CH) are among the top ten leading cause of deaths, worldwide. T2DM and cardiac hypertrophy are the chronic diseases, have close association and direct life-threatening complications like stroke, myocardial infarction, retinopathy, nephropathy, and limb amputation. In addition to other medical approaches, miRNAs-based strategy is considered most efficient for early detection of chronic diseases and also has potential for the treatment of T2DM and cardiac hypertrophy like it is being used for cancer in clinical trials. MicroRNAs (miRNAs) are single stranded (non-coding) of 20 to 22 nucleotides sequences which bind to their target mRNA upon the complimentary basis, to silence the protein expression at post transcriptional level. Bioinformatic databases are used like online mendelian inheritance in man (OMIM), gene testing registry (GTR), TargetScan and ShinyGO for validation of disease linked genes and sorting the common miRNAs in both diseases, such as miR-30-5p/ 101-3p.2/ 190-5p/ 506-3p/ 9-5p/ 128-3p/ 137/ 96-5p/ 7-5p/ 107/ 101-3p.1/ 98-5p/ 124-3p.2/ 124-3p.1/ 16-5p/ 15-5p/ 497-5p/ 424-5p/ 195-5p/ 1271-5p, let-7-5p. Aforementioned databases were also used for the miRNAs which have more than one disease linked genes target in each pathological condition. Such miRNAs for cardiac hypertrophy are: miR-19-3p/ 183-5p.2/ 153-3p/ 372-3p/ 302-3p/ 520-3p/ 373-3p/ 129-5p/ 144-3p/ 139-5p and for T2DM are: miR-27-3p/ 206/ 1-3p/ 181-5p. This finding would be helpful for the appropriate selection of miRNAs and to design applicable research project in future. It will require more validation by using the miRNAs expression analysis, mimic, and anti-miRNA approach to check their potential against cardiac hypertrophy and T2DM.
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