Circulating small RNA signatures differentiate accurately the subtypes of muscular dystrophies: small-RNA next-generation sequencing analytics and functional insights

Kakouri, Andrea C.; Koutalianos, Demetris; Koutsoulidou, Andrie; Oulas, Anastasis; Tomazou, Marios; Nikolenko, Nikoletta; Turner, Chris; Roos, Andreas; Lusakowska, Anna; Janiszewska, Katarzyna; Papadimas, George K.; Papadopoulos, Constantinos; Kararizou, Evangelia; Papanicolaou, Eleni Zamba; Gorman, Grainne S.; Lochmüller, Hanns; Spyrou, George M.; Phylactou, Leonidas A.

doi:http://dx.doi.org/10.1080/15476286.2022.2058817

Circulating small RNA signatures differentiate accurately the subtypes of muscular dystrophies: small-RNA next-generation sequencing analytics and functional insights

Citation

Kakouri AC, Koutalianos D, Koutsoulidou A, Oulas A, Tomazou M, Nikolenko N et al. Circulating small RNA signatures differentiate accurately the subtypes of muscular dystrophies: small-RNA next-generation sequencing analytics and functional insights. RNA Biol. 2022;19(1):507-518. DOI:10.1080/15476286.2022.2058817

Abstract

Muscular dystrophies are a group of rare and severe inherited disorders mainly affecting the muscle tissue. Duchene Muscular Dystrophy, Myotonic Dystrophy types 1 and 2, Limb Girdle Muscular Dystrophy and Facioscapulohumeral Muscular Dystrophy are some of the members of this family of disorders. In addition to the current diagnostic tools, there is an increasing interest for the development of novel non-invasive biomarkers for the diagnosis and monitoring of these diseases. miRNAs are small RNA molecules characterized by high stability in blood thus making them ideal biomarker candidates for various diseases. In this study, we present the first genome-wide next-generation small RNA sequencing in serum samples of five different types of muscular dystrophy patients and healthy individuals. We identified many small RNAs including miRNAs, lncRNAs, tRNAs, snoRNAs and snRNAs, that differentially discriminate the muscular dystrophy patients from the healthy individuals. Further analysis of the identified miRNAs showed that some miRNAs can distinguish the muscular dystrophy patients from controls and other miRNAs are specific to the type of muscular dystrophy. Bioinformatics analysis of the target genes for the most significant miRNAs and the biological role of these genes revealed different pathways that the dysregulated miRNAs are involved in each type of muscular dystrophy investigated. In conclusion, this study shows unique signatures of small RNAs circulating in five types of muscular dystrophy patients and provides a useful resource for future studies for the development of miRNA biomarkers in muscular dystrophies and for their involvement in the pathogenesis of the disorders.