RNA-seq analysis of skeletal muscle in motor neurone disease cases and controls

Abstract

Background: Amyotrophic lateral sclerosis (ALS), the most predominant form of Motor Neuron Disease (MND), is a progressive and fatal neurodegenerative condition that spreads throughout the neuromotor system by afflicting upper and lower motor neurons. Lower motor neurons project from the central nervous system and innervate muscle fibres at motor endplates, which degrade over the course of the disease leading to muscle weakness. The direction of neurodegeration from or to the point of neuromuscular junctions and the role of muscle itself in pathogenesis has continued to be a topic of debate in ALS research. Methods: To assess the variation in gene expression between affected and nonaffected muscle tissue that might lead to this local degeneration of motor units, we generated RNA-seq skeletal muscle transcriptomes from 28 MND cases and 18 healthy controls and conducted differential expression analyses on gene-level counts, as well as an isoform switching analysis on isoform-level counts. Results: We identified 52 differentially-expressed genes (Benjamini-Hochberg-adjusted p<0.05) within this comparison, including 38 protein coding, 9 long non-coding RNA, and 5 pseudogenes. Of protein-coding genes, 31 were upregulated in cases including with notable genes including the collagenic COL25A1 (p=3.1×10-10), SAA1 which is released in response to tissue injury (p=3.6×10-5) as well as others of the SAA family, and the actin-encoding ACTC1 (p=2.3×10-5). Additionally, we identified 17 genes which exhibited a functional isoform switch with likely functional consequences between cases and controls. Conclusions: Our analyses provide evidence of increased tissue generation in MND cases, which likely serve to compensate for the degeneration of motor units and skeletal muscle.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

This research was supported through funding from the Scott Sullivan MND Research Fellowship to S.T.N. (2015-2020; MND and Me Foundation and RBWH Foundation), FightMND Mid-Career Fellowship (to S.T.N.), MNDRA Charcot Grant (GIA 1701 to S.T.N. and F.J.S.), the National Health and Medical Research Council Australia (1101085 to S.T.N. and F.J.S., 1113400 & 1173790 to N.R.W.) and the Australian Research Council (Future Fellowship 200100837 to A.F.M.).

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

All work performed in this study was approved by the Royal Brisbane and Women's Hospital and University of Queensland human research ethics committees. All participants provided written informed consent.

I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.

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I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

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Data Availability

The data that support the findings of this study are available on request from the corresponding author. The raw transcript data are not publicly available due to ethical restrictions; however, gene and transcript counts have been made available. The datasets generated during and/or analysed during the current study are available in the University of Queensland data collection repository.

https://doi.org/10.48610/b722f1f

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