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Metabolomics‐driven discovery of therapeutic targets for cancer cachexia
Journal of Cachexia, Sarcopenia and Muscle ( IF 8.9 ) Pub Date : 2024-04-22 , DOI: 10.1002/jcsm.13465
Pengfei Cui 1 , Xiaoyi Li 2 , Caihua Huang 3 , Donghai Lin 4
Affiliation  

Cancer cachexia (CC) is a devastating metabolic syndrome characterized by skeletal muscle wasting and body weight loss, posing a significant burden on the health and survival of cancer patients. Despite ongoing efforts, effective treatments for CC are still lacking. Metabolomics, an advanced omics technique, offers a comprehensive analysis of small‐molecule metabolites involved in cellular metabolism. In CC research, metabolomics has emerged as a valuable tool for identifying diagnostic biomarkers, unravelling molecular mechanisms and discovering potential therapeutic targets. A comprehensive search strategy was implemented to retrieve relevant articles from primary databases, including Web of Science, Google Scholar, Scopus and PubMed, for CC and metabolomics. Recent advancements in metabolomics have deepened our understanding of CC by uncovering key metabolic signatures and elucidating underlying mechanisms. By targeting crucial metabolic pathways including glucose metabolism, amino acid metabolism, fatty acid metabolism, bile acid metabolism, ketone body metabolism, steroid metabolism and mitochondrial energy metabolism, it becomes possible to restore metabolic balance and alleviate CC symptoms. This review provides a comprehensive summary of metabolomics studies in CC, focusing on the discovery of potential therapeutic targets and the evaluation of modulating specific metabolic pathways for CC treatment. By harnessing the insights derived from metabolomics, novel interventions for CC can be developed, leading to improved patient outcomes and enhanced quality of life.

中文翻译:

代谢组学驱动的癌症恶病质治疗靶点的发现

癌症恶病质(CC)是一种破坏性的代谢综合征,其特征是骨骼肌消耗和体重减轻,给癌症患者的健康和生存带来重大负担。尽管不断努力,但仍然缺乏针对 CC 的有效治疗方法。代谢组学是一种先进的组学技术,可对细胞代谢中涉及的小分子代谢物进行全面分析。在 CC 研究中,代谢组学已成为识别诊断生物标志物、揭示分子机制和发现潜在治疗靶点的宝贵工具。实施了全面的搜索策略,从主要数据库(包括 Web of Science、Google Scholar、Scopus 和 PubMed)中检索 CC 和代谢组学的相关文章。代谢组学的最新进展通过揭示关键代谢特征和阐明潜在机制加深了我们对 CC 的理解。通过针对葡萄糖代谢、氨基酸代谢、脂肪酸代谢、胆汁酸代谢、酮体代谢、类固醇代谢和线粒体能量代谢等关键代谢途径,恢复代谢平衡并缓解CC症状成为可能。本综述对 CC 的代谢组学研究进行了全面总结,重点是发现潜在的治疗靶点以及评估调节 CC 治疗的特定代谢途径。通过利用代谢组学的见解,可以开发针对 CC 的新干预措施,从而改善患者的治疗结果并提高生活质量。
更新日期:2024-04-22
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