ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005


The Latest on Twitter

Kidney Week

Abstract: PO2267

Characterization of Metabolome-Wide Biochemicals Associated with Kidney Function

Session Information

Category: CKD (Non-Dialysis)

  • 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention


  • Peng, Hongquan, Kiang Wu Hospital, Macau, Macau, Macao

Chronic kidney disease (CKD) is a global public health problem. Identifying sensitive filtration biomarkers is a key diagnostic value contributing to an understanding of CKD at the molecular level. A metabolomics study indicated a snapshot of the biochemical activity of the human body at a particular time in the progression of CKD. This metabolome-wide study verified whether blood metabolite profiles are significantly different in CKD at various stages and characterized potential markers to assess kidney function in Chinese population.


An analysis of plasma and serum metabolites using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was performed on 198 participants (53 serum samples and 145 plasma samples) based on their measured GFR (by iohexol plasma clearance).


A large number of metabolomics related to the mGFR were selected as the top 30 metabolites by the random forest method, and we found 15 amino acids, 8 nucleotides, and 2 carbohydrates strongly related to kidney function in the combined group (serum and plasma). Thirteen amino acids, 9 nucleotides, and 3 carbohydrates were identified in the plasma group, while 13 amino acids, 7 nucleotides, and 3 carbohydrates were found in the serum group. We observed that 10 of the top 15 ranked metabolites were concordant between the plasma and serum groups. Major differences in metabolite profiles with increasing stage of CKD were observed.


Our study identified 6 novel and potential metabolites that reproducibly strongly associate with mGFR, including pseudouridine, C-glycosyltryptophan, erythronate, N-acetylalanine, myo-inositol, and N-acetylcarnosine. However, pseudouridine may be an ideal biomarker that is nondependent on race.Specifically, a potential negative biomarker of kidney disease may be 1,5-anhydroglucitol (1,5-AG).Future studies will utilize the potential 3-5 novel biomarkers in estimating the glomerular filtration rate without race input.


  • Government Support – Non-U.S.