代谢组学
肾脏疾病
生物标志物
疾病
医学
生物信息学
重症监护医学
生物标志物发现
内科学
生物
蛋白质组学
生物化学
基因
作者
Yanni Wang,Shixing Ma,Yuanyuan Chen,Lin Chen,Baoli Liu,Qingquan Liu,Ying‐Yong Zhao
标识
DOI:10.1016/j.cca.2019.08.030
摘要
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.
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