Literature DB >> 29486297

Muscle microRNA signatures as biomarkers of disease progression in amyotrophic lateral sclerosis.

Ying Si1, Xianqin Cui2, David K Crossman3, Jiaying Hao2, Mohamed Kazamel4, Yuri Kwon4, Peter H King5.   

Abstract

ALS is a fatal neurodegenerative disorder of motor neurons leading to progressive atrophy and weakness of muscles. Some of the earliest pathophysiological changes occur at the level of skeletal muscle and the neuromuscular junction. We previously identified distinct mRNA patterns, including members of the Smad and TGF-β family, that emerge in muscle tissue at the earliest (pre-clinical) stages. These patterns track disease progression in the mutant SOD1 mouse and are present in human ALS muscle. Because miRNAs play a direct regulatory role in mRNA expression, we hypothesized in this study that there would be distinct miRNA patterns in ALS muscle appearing in early stages that could track disease progression. We performed next-generation miRNA sequencing on muscle samples from G93A SOD1 mice at early (pre-clinical) and late (symptomatic) stages, and identified distinct miRNA patterns at both stages with some overlap. An Ingenuity Pathway Analysis predicted effects on a number of pathways relevant to ALS including TGF-β signaling, axon guidance signaling, and mitochondrial function. A subset of miRNAs was validated in the G93A SOD1 mouse at four stages of disease, and several appeared to track disease progression, including miR-206. We assessed these miRNAs in a large cohort of human ALS and disease control samples and found that some had similar changes but were not specific for ALS. Surprisingly, miR-206 levels did not change overall compared to normal controls, but did correlate with changes in strength of the muscle biopsied. In summary, we identified distinct miRNA patterns in ALS muscle that reflected disease stage which could potentially be used as biomarkers of disease activity. Published by Elsevier Inc.

Entities:  

Keywords:  G93A SOD1 mouse; Human ALS muscle biopsies; Ingenuity pathway analysis; Myomirs; miRNA sequencing

Mesh:

Substances:

Year:  2018        PMID: 29486297      PMCID: PMC5891369          DOI: 10.1016/j.nbd.2018.02.009

Source DB:  PubMed          Journal:  Neurobiol Dis        ISSN: 0969-9961            Impact factor:   5.996


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