Centre for Health Science, Division of Biomedical Sciences, Institute of Health Research and Innovation, School of Health, Social Care and Life Sciences, University of the Highlands and Islands, Inverness IV2 3JH, UK.
Edinburgh Cancer Research UK Tissue Group, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XR, UK.
Molecules. 2022 Aug 27;27(17):5514. doi: 10.3390/molecules27175514.
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.
骨骼肌的内稳态对于维持健康和积极的生活方式至关重要。肌肉内稳态失衡会导致严重后果，如萎缩、肌肉质量丧失以及功能逐渐丧失。与年龄相关的肌肉消耗、肌肉减少症以及疾病引起的萎缩（如恶病质）会降低生活质量，增加发病率，并导致整体预后不良。研究与肌肉萎缩疾病相关的肌肉蛋白质组学对于诊断医学具有很大的潜力，可以识别：(i) 潜在的蛋白质生物标志物，以及 (ii) 肌肉消耗、恶病质、肌肉减少症和衰老所共有的或独特的生物学过程和功能。我们对 24 项使用组织样本（骨骼肌和脂肪活检）和/或生物流体（血清、血浆、尿液）的人类蛋白质组学研究进行了基因本体 (GO) 分析的荟萃分析。虽然各研究之间的蛋白质方向性相似之处很少，但确定了与各种情况共同存在的生物学过程。在这里，我们证明了对已发表的人类蛋白质组学数据的 GO 分析可以识别单个研究未揭示的过程。我们建议整合组织样本和生物流体的蛋白质组学数据，以全面了解人类骨骼肌蛋白质组。这将有助于鉴定肌肉消耗疾病的生物标志物和潜在途径，以便在临床上使用。
