Computational analysis to predict functional role of hsa-miR-3065-3p as an antiviral therapeutic agent for treatment of triple infections: HCV, HIV-1, and HBV
Background: Triple infection (TI) with HIV-1, HCV, and HBV (TI) is highly prevalent in intravenous drug users (IDUs). These TI patients have a faster progression to AIDS, and even after antiretroviral therapy (ART) the prognosis of their disease is poor. The use of microRNA (miRNA) to silence genes holds potential applications for anti-HCV therapy. Methods: We analyzed the role of human miRNAs (hsa-miRs) in TI by computational analyses for HCV, HIV-1, and HBV showing identity to these three viral genomes. Results: We identified one unique miRNA, hsa-miR-3065-3p, that shares significant mutual identity to these three viral genomes (6183%). In addition, hsa-miR-99, hsa-miR-548, and hsa-miR-122 also showed mutual identity with these three viral genomes, albeit at a lower degree (5288%). Conclusion: Here, we present evidence using essential components of bioinformatics tools, and hypothesize that utility of hsa-miR-3065-3p and perhaps miR-548 would be potential antiviral therapeutic agents in the treatment of TI patients because it shows near perfect alignment in the seed region for all three viruses. We also make an argument that current proposed therapy with hsa-miR-122 may not be the optimal choice for HCV patients since it lacks essential gene alignment and may be harmful for the patients.
Keywords: HBV; HCV; HIV-1; homology; identity; inhibition; microRNA-based therapy; RNAi; triple infection