Prediction Models based on miRNA-disease Relationship: Diagnostic Relevance to Multiple Diseases Including COVID-19

Background Small, non-coding microRNAs, usually of 20-25 nucleotides, are known to regulate the post-transcriptional gene expression, which has a significant role in human biological processes, including immune-biogenesis, homeostasis and infection control as differential expression of such miRNAs is responsible for fine-tuning the organismic development. Methods A search of bibliographic databases was carried out with a focused question on microRNA-Disease Prediction. A deductive qualitative content analysis approach was employed to assess the research's overall outcomes, review articles on prediction tools in miRNA-Diseases, and analyse the interventions. Results Diagnosis and therapeutics of diseases and miRNA prediction methods hold importance in identifying the regulatory mechanisms. Collections of efficient miRNA prediction methods to identify miRNA-mRNA-disease regulatory relationships have been presented through this review, consolidating the potential of miRNAs as a diagnostic and prognostic biomarker of multiple diseases, including COVID-19. Conclusion The role of miRNA in the aetiology and pathogenesis of wide-range of pathologies, including viral, bacterial to chronic diseases such as cancer, is quite feasible through the modern tools in bioinformatics which has been elaborated focusing upon miRNA-disease prediction methods and their application potential establishing miRNAs as a robust and reliable biomarker in clinico-medical studies.

Automated summary

MicroRNAs, small non-coding RNAs, play a significant role in regulating gene expression and have implications in various biological processes. This study presents an overview of miRNA prediction methods and their applications in diagnosing and treating diseases, establishing miRNAs as potential biomarkers for multiple diseases.