Chicken consumption predisposes to diabetes through epigenetic modification by miRNAs: an in-silico prediction

Abstract

Diabetes is among the most worldwide occurring metabolic disorders. It has created a substantial socioeconomic burden because of no targeted therapy available to date. Epigenetic modifications are playing a significant role in its cause and cure. The food we eat can lead to epigenetic changes, which further can alter the expression of different genes. In the current research, we postulate that meat consumers might have a high risk of diabetes due to miRNA's ability to instigate epigenetic modifications of genes involved in diabetes. We performed bioinformatics analysis in which first we retrieved chicken miRNAs data from miRbase. Then we checked the interaction with target genes IGF2BP2, HNF1B, and TCF7L2 of obtained miRNAs utilizing miRanda and TargetScan databases. The interaction score obtained indicated good interaction between them. Based on the predicted miRNA-mRNA interactions score, we drew a miRNA network using miRNet software. The results obtained from this in-silico analysis suggest that chicken consumption may predispose diabetes through miRNAs associated with epigenetic modifications of the gene involved in diabetes. The outcome of this study can be further explored in cell-based, animal-based, and human-based studies.

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