Literature DB >> 34241798

Two distinct skeletal muscle microRNA signatures revealing the complex mechanism of sporadic ALS.

Evrim Aksu-Menges1, Burcu Balci-Hayta1, Can Ebru Bekircan-Kurt2, Ayse Tulay Aydinoglu1, Sevim Erdem-Ozdamar2, Ersin Tan3.   

Abstract

Skeletal muscle pathology is thought to have an important role in the onset and/or progression of amyotrophic lateral sclerosis (ALS), which is a neurodegenerative disorder characterized by progressive muscle weakness. Since miRNAs are recognized as important regulatory factors of essential biological processes, we aimed to identify differentially expressed miRNAs in the skeletal muscle of sporadic ALS patients through the combination of molecular-omic technologies and bioinformatic tools. We analyzed the miRnome profiles of skeletal muscle biopsies acquired from ten sALS patients and five controls with Affymetrix GeneChip miRNA 4.0 Array. To find out differentially expressed miRNAs in patients, data were analyzed by The Institute for Genomic Research-Multi Experiment Viewer (MeV) and miRNAs whose expression difference were statistically significant were identified as candidates. The potential target genes of these miRNAs were predicted by miRWalk 2.0 and were functionally enriched by gene ontology (GO) analysis. The expression level of priority candidates was validated by quantitative real-time PCR (qRT-PCR) analysis. We identified ten differentially expressed miRNAs in patients with a fold change threshold ≥ 2.0, FDR = 0. We identified ten differentially expressed miRNAs in patients with a fold change threshold ≥ 2.0, FDR = 0. Nine out of the ten miRNAs were found to be related to top three enriched ALS-related terms. Based on the qRT-PCR validation of candidate miRNAs, patients were separated into two groups: those with upregulated miR-4429 and miR-1825 expression and those with downregulated miR-638 expression. The different muscle-specific miRNA profiles in sALS patients may indicate the involvement of etiologic heterogeneity, which may allow the development of novel therapeutic strategies.
© 2021. Belgian Neurological Society.

Entities:  

Keywords:  Bioinformatics analysis; Skeletal muscle; Sporadic amyotrophic lateral sclerosis; miRNA; miRNA microarray

Year:  2021        PMID: 34241798     DOI: 10.1007/s13760-021-01743-w

Source DB:  PubMed          Journal:  Acta Neurol Belg        ISSN: 0300-9009            Impact factor:   2.396


  42 in total

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