National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
To date, the development of biomarkers of schizophrenia still remains a challenge. Recently, alterations in the expression of microRNAs (miRNAs) from peripheral blood, serum and post-mortem brain tissue have been linked to schizophrenia and other neurodevelopmental disorders. It is well known that miRNAs are expressed by various cell types and can modulate broad physiological functions. On this basis it is assumed that miRNAs could be useful predictive biomarkers for the diagnosis or prognosis of pathological conditions, like schizophrenia. In order to observe an association between miRNAs and schizophrenia, this study was designed to investigate expression profiling of miRNAs in peripheral blood. The aim of this study was to test whether whole blood miR-320 family members display differential expression profile in schizophrenia patients. The relative expression levels of miR-320 members were analyzed by stem-loop qRT-PCR assay in acohort of 30 participants diagnosed with schizophrenia and 25 age- and gender-matched general population controls. The results indicated that miR-320b, miR-320c and miR-320d were expressed substantially higher in schizophrenia patients than in control subjects, and miR-320a showed thegreatest change. Furthermore, a statistically significant difference of mR-320a level was revealed in schizophrenia subjects compared to healthy controls (p =0,0076). Our results suggest that differentially expressed miR-320 family members might be involved in schizophrenia molecular pathways and blood-based miR-320 signature might be able to serve as potential prognostic biomarkers for schizophrenia. The results confirm that the blood-based miRNA profiling is a feasible way to identify biomarkers for schizophrenia.
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