Insilico Identification of LncRNA and CircRNAs with a Prospective Role in the Diabetic Retinopathy Diagnosis

Main Article Content

P. Swathi
S. Jyothi
D. M. Mamatha

Abstract

One of the serious complications of Type 2 Diabetes mellitus is Diabetic Retinopathy (DR) with fluctuating ranges of vision damage. DR is a polymorphic disorder with no complete information and understanding.  Earlier studies signified the relation of DR development with long noncoding RNAs (lncRNAs), and their expression levels may trigger DR indicating that lncRNAs are acting as the regulatory elements and further research studies are in progress. Considering this, long noncoding RNAs and circular RNAs related to Diabetic Retinopathy are retrieved from various databases which include NCBI, RNA Central, LNCSEA2.0, LncRNA disease V2.0 database, Mammalian ncRNA disease repository (MNDR V3.1). The data retrieved is pooled and analyzed. Accordingly, the accessed lncRNAs are assessed in PubMed and other bibliography databases. A total of forty-three lncRNAs and thirty-nine circular RNAs were retrieved. Insilico analyses are made to interpret the expression profiles of lncRNAs and circRNAs predicted in relation to DR. In addition, the regulatory levels of depicted lncRNAs and their targets are noted using respective databases. The detection of lncRNAs which play a major role in DR starting and progressing states, could be treated as probable biomarkers for early diagnosis of Diabetic Retinopathy leading to innovative therapeutic and medication strategies.

Article Details

How to Cite
P. Swathi, S. Jyothi, & D. M. Mamatha. (2022). Insilico Identification of LncRNA and CircRNAs with a Prospective Role in the Diabetic Retinopathy Diagnosis. Journal of Coastal Life Medicine, 10(3), 226–243. Retrieved from https://www.jclmm.com/index.php/journal/article/view/183
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