Crossloads of metabolism and CKD

Research output: Contribution to journalComment/debate

3 Citations (Scopus)


Sensitive and useful biomarkers for predicting chronic kidney disease (CKD) and its prognosis are urgently needed. Using a nontargeted metabolomic approach, Hu et al. explored an established CKD cohort, Modification of Diet in Renal Disease, as well as a validation cohort, African American Study of Kidney Disease and Hypertension. They identified 3 serum metabolites (ribonate, fumarate, and allantoin) significantly associated with mortality in CKD even after statistical adjustment by multiple clinical covariates including glomerular filtration rate and urinary protein. Their finding develops a new aspect for diagnosing and predicting the prognosis of CKD.

Original languageEnglish
Pages (from-to)242-243
Number of pages2
JournalKidney International
Issue number2
Publication statusPublished - 2018 Aug


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