Suppr超能文献

代谢组学驱动的癌症恶病质治疗靶点发现。

Metabolomics-driven discovery of therapeutic targets for cancer cachexia.

机构信息

College of Food and Pharmacy, Xuchang University, Xuchang, China.

Xuchang Central Hospital, Xuchang, China.

出版信息

J Cachexia Sarcopenia Muscle. 2024 Jun;15(3):781-793. doi: 10.1002/jcsm.13465. Epub 2024 Apr 21.

Abstract

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.

摘要

癌症恶病质(CC)是一种破坏性的代谢综合征,其特征是骨骼肌减少和体重下降,对癌症患者的健康和生存造成重大负担。尽管在不断努力,但 CC 的有效治疗方法仍然缺乏。代谢组学是一种先进的组学技术,提供了对细胞代谢中涉及的小分子代谢物的全面分析。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有价值的工具。实施了全面的搜索策略,从包括 Web of Science、Google Scholar、Scopus 和 PubMed 在内的主要数据库中检索与 CC 和代谢组学相关的文章。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。通过靶向包括葡萄糖代谢、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在内的关键代谢途径,有可能恢复代谢平衡并缓解 CC 症状。本综述全面总结了 CC 的代谢组学研究,重点介绍了潜在治疗靶点的发现和调节特定代谢途径治疗 CC 的评估。通过利用代谢组学提供的见解,可以开发针对 CC 的新干预措施,从而改善患者的预后和提高生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beeb/11154780/cf8a56c9b072/JCSM-15-781-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验