Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi 710069, China.
Department of Nephrology, Baoji Central Hospital, No. 8 Jiangtan Road, Baoji, Shaanxi 721008, China.
Clin Chim Acta. 2019 Dec;499:54-63. doi: 10.1016/j.cca.2019.08.030. Epub 2019 Aug 30.
Chronic kidney disease (CKD), characterized as renal dysfunction, is recognized as a major public health problem with high morbidity and mortality worldwide. Unfortunately, there are no obvious clinical symptoms in early stage disease until severe damage has occurred. Further complicating early diagnosis and treatment is the lack of sensitive and specific biomarkers. As such, novel biomarkers are urgently needed. Metabolomics has shown an increasing potential for identifying underlying disease mechanisms, facilitating clinical diagnosis and developing pharmaceutical treatments for CKD. Recent advances in metabolomics revealed that CKD was closely associated with the dysregulation of numerous metabolites, such as amino acids, lipids, nucleotides and glycoses, that might be exploited as potential biomarkers. In this review, we summarize recent metabolomic applications based on animal model studies and in patients with CKD and highlight several biomarkers that may play important roles in diagnosis, intervention and development of new therapeutic strategies.
慢性肾脏病(CKD)以肾功能障碍为特征,是一个全球性的主要公共卫生问题,其发病率和死亡率都很高。不幸的是,在疾病的早期阶段,直到发生严重损害,才会出现明显的临床症状。进一步增加早期诊断和治疗难度的是缺乏敏感和特异性的生物标志物。因此,急需新型生物标志物。代谢组学在确定潜在疾病机制、促进临床诊断和开发治疗 CKD 的药物方面显示出越来越大的潜力。代谢组学的最新进展表明,CKD 与许多代谢物的失调密切相关,如氨基酸、脂质、核苷酸和糖,这些代谢物可能被用作潜在的生物标志物。在这篇综述中,我们总结了基于动物模型研究和 CKD 患者的最新代谢组学应用,并强调了一些可能在诊断、干预和新治疗策略的开发中发挥重要作用的生物标志物。