
Clinical application of circulating microRNAs in Parkinson's disease: The challenges and opportunities as diagnostic biomarker
Author(s) -
Palaniswamy Ramaswamy,
Ravi Yadav,
Pramod Kumar Pal,
Rita Christopher
Publication year - 2020
Publication title -
annals of indian academy of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 31
eISSN - 1998-3549
pISSN - 0972-2327
DOI - 10.4103/aian.aian_440_19
Subject(s) - biomarker , microrna , disease , medicine , parkinson's disease , diagnostic biomarker , biomarker discovery , bioinformatics , computational biology , gene , biology , genetics , proteomics , pathology
Discovery of evolutionarily conserved, nonprotein-coding, endogenous microRNAs has induced a paradigm shift in the overall understanding of gene regulation. Now, microRNAs are considered and classified as master regulators of gene expression as they regulate a wide range of processes - gene regulation, splicing, translation and posttranscriptional modifications. Besides, dysregulated microRNAs have been related to many diseases, including Parkinson's and related disorders. Several studies proposed that differentially expressed microRNAs as a potential biomarker. So far, there is no accepted clinical diagnostic test for Parkinson's disease based on biochemical analysis of biological fluids. However, circulating microRNAs possess many vital features typical of reliable biomarkers and discriminates Parkinson's patients from healthy control with much higher sensitivity and specificity. Though they show tremendous promise as a putative biomarker, translating these research findings to clinical application is often met with many obstacles. Most of the candidate microRNAs reported as a diagnostic biomarker is not organ-specific, and their overlap is low between studies. Therefore this review aimed to highlight the challenges in the application of microRNA in guiding disease discrimination decisions and its future prospects as a diagnostic biomarker in Parkinson's Disease.