ISSN 1006-298X      CN 32-1425/R

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肾脏病与透析肾移植杂志 ›› 2023, Vol. 32 ›› Issue (6): 558-562.DOI: 10.3969/j.issn.1006-298X.2023.06.012

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代谢组学在慢性肾脏病的应用与进展

  

  • 出版日期:2023-12-28 发布日期:2023-12-22

Advances and applications of metabolomics in chronic kidney disease

  • Online:2023-12-28 Published:2023-12-22

摘要: 慢性肾脏病(CKD)已成为全球公共卫生难题,与心血管等不良事件风险密切相关。对人群进行危险分层,早期识别CKD的危险因素并进行防治是临床关注的重点。代谢组学是一种无创、高通量的检测方法,通过定量或半定量分析代谢物的丰度及其所参与的代谢途径来阐述疾病的病理生理机制。研究提示,随着肾功能的恶化,CKD患者的代谢组学会出现显著差异;多种代谢物与患者肾功能恶化、恶性心血管事件甚至全因死亡风险密切相关。在CKD领域,代谢组学已成功应用于改善肾小球滤过率的评估及探寻CKD及其并发症风险的新型生物标志物。此外,代谢组学的应用拓展了对CKD进程及其并发症潜在病理生理机制的认识,加深了对肠道微生物及其代谢产物与CKD相互作用的理解。本文综述了代谢组学在CKD中的应用及研究进展,以期为CKD的临床诊治提供新的方向。

关键词: 慢性肾脏病, 代谢组学, 生物标志物

Abstract: Chronic kidney disease (CKD) has become a public health challenge worldwide and is closely associated with the risk of cardiovascular and other adverse events. How to identify the occurrence and progression of CKD early, stratify the risk of the population, and give early prevention and treatment is the focus of clinical attention. Metabolomics, a non-invasive, high-throughput assay elucidates the pathophysiological mechanisms of diseases by quantitative or semi-quantitative analysis of the abundance of metabolites and the metabolic pathways involved. Studies indicate that the metabolome of CKD patients can show significant differences with deteriorating renal function, and a variety of metabolites are closely associated with the deterioration of renal function, the risk of cardiovascular events, and even the risk of all-cause mortality in patients. Metabolomics has been successfully applied to improve the assessment of GFR and explore novel biomarkers for the risk of CKD and its complications. Furthermore, the application of metabolomics expands the understanding of the underlying pathophysiologic mechanisms of various complications during CKD and strengthens the understanding of the interactions of gut microbiome and their metabolites with CKD. This article reviews the research progression and application of metabolomics in CKD to provide novel directions for clinical diagnosis and treatment.


Key words: chronic kidney disease, metabolomics, biomarker