Gene ontology (GO)-driven inference of candidate proteomic markers associated with muscle atrophy conditions

Stalmach, A., Boehm, I., Fernandes, M., Rutter, A., Skipworth, R. J. E. and Husi, H. (2022) Gene ontology (GO)-driven inference of candidate proteomic markers associated with muscle atrophy conditions. Molecules, 27(17), 5514. (doi: 10.3390/molecules27175514) (PMID:36080280) (PMCID:PMC9457532)

Abstract

Skeletal muscle homeostasis is essential for the maintenance of a healthy and active lifestyle. Imbalance in muscle homeostasis has significant consequences such as atrophy, loss of muscle mass, and progressive loss of functions. Aging-related muscle wasting, sarcopenia, and atrophy as a consequence of disease, such as cachexia, reduce the quality of life, increase morbidity and result in an overall poor prognosis. Investigating the muscle proteome related to muscle atrophy diseases has a great potential for diagnostic medicine to identify (i) potential protein biomarkers, and (ii) biological processes and functions common or unique to muscle wasting, cachexia, sarcopenia, and aging alone. We conducted a meta-analysis using gene ontology (GO) analysis of 24 human proteomic studies using tissue samples (skeletal muscle and adipose biopsies) and/or biofluids (serum, plasma, urine). Whilst there were few similarities in protein directionality across studies, biological processes common to conditions were identified. Here we demonstrate that the GO analysis of published human proteomics data can identify processes not revealed by single studies. We recommend the integration of proteomics data from tissue samples and biofluids to yield a comprehensive overview of the human skeletal muscle proteome. This will facilitate the identification of biomarkers and potential pathways of muscle-wasting conditions for use in clinics.

• Item Type: Articles
• Additional Information: This research was funded by a grant from Highlands & Islands Enterprise, UK (AS and HH).
• Keywords: Proteomics, muscle wasting, sarcopenia, cancer cachexia, biomarker.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Husi, Dr Holger

Creator Roles

Husi, H.: Conceptualization, Methodology, Formal analysis, Investigation, Data curation, Writing – review and editing, Visualization, Supervision

• Authors: Stalmach, A., Boehm, I., Fernandes, M., Rutter, A., Skipworth, R. J. E., and Husi, H.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
• Journal Name: Molecules
• Publisher: MDPI
• ISSN: 1420-3049
• ISSN (Online): 1420-3049
• Published Online: 27 August 2022
• Copyright Holders: Copyright © 2022 The Authors
• First Published: First published in Molecules 27(17): 5514
• Publisher Policy: Reproduced under a Creative Commons License