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

小RNA 疾病 计算生物学 生物标志物 生物信息学 生物 鉴定(生物学) 医学 基因 遗传学 病理 植物
作者
Varruchi Sharma,Amisha Sharma,Mukesh Yadav,Nirmala Sehrawat,Vikas Kumar,Sunil Kumar,Ajay Gupta,Pooja Sharma,Sasanka Chakrabarti
出处
期刊:Current Pharmaceutical Biotechnology [Bentham Science Publishers]
卷期号:24 (10): 1213-1227 被引量:2
标识
DOI:10.2174/1389201024666221025114500
摘要

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.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.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.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 clinicomedical studies.

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