Two distinct skeletal muscle microRNA signatures revealing the complex mechanism of sporadic ALS.
Evrim Aksu-MengesBurcu Balci-HaytaCan Ebru Bekircan-KurtAyse Tulay AydinogluSevim Erdem ÖzdamarErsin TanPublished in: Acta neurologica Belgica (2021)
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.
Keyphrases
- skeletal muscle
- end stage renal disease
- amyotrophic lateral sclerosis
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- poor prognosis
- long non coding rna
- prognostic factors
- insulin resistance
- multiple sclerosis
- dna methylation
- adipose tissue
- metabolic syndrome
- big data
- patient reported
- artificial intelligence
- deep learning
- transcription factor
- mass spectrometry
- single cell
- climate change
- ultrasound guided
- electronic health record
- drug induced
- data analysis