Kidney Res Clin Pract.  2023 Jul;42(4):445-459. 10.23876/j.krcp.22.152.

Urine myo-inositol as a novel prognostic biomarker for diabetic kidney disease: a targeted metabolomics study using nuclear magnetic resonance

Affiliations
  • 1Department of Internal Medicine, Chung-Ang University Heukseok Hospital, Seoul, Republic of Korea
  • 2Department of Clinical Medical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
  • 3Western Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea
  • 4Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
  • 5Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
  • 6Department of Critical Care Medicine, Yanbian University Hospital, Yanji, China
  • 7Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
  • 8Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
  • 9Kidney Research Institute, Seoul National University Medical Research Center , Seoul, Republic of Korea
  • 10Institute of Life and Death Studies, Hallym University, Chuncheon, Republic of Korea
  • 11Department of Chemistry and Nano Science, Ewha Womans University, Seoul, Republic of Korea
  • 12Division of Nephrology, Department of Internal Medicine-Nephrology, Seoul National University Boramae Medical Center, Seoul, Republic of Korea

Abstract

Background
As a leading cause of chronic kidney disease, clinical demand for noninvasive biomarkers of diabetic kidney disease (DKD) beyond proteinuria is increasing. Metabolomics is a popular method to identify mechanisms and biomarkers. We investigated urinary targeted metabolomics in DKD patients. Methods: We conducted a targeted metabolomics study of 26 urinary metabolites in consecutive patients with DKD stage 1 to 5 (n = 208) and healthy controls (n = 26). The relationships between estimated glomerular filtration rate (eGFR) or urine protein-creatinine ratio (UPCR) and metabolites were evaluated. Multivariate Cox analysis was used to estimate relationships between urinary metabolites and the target outcome, end-stage renal disease (ESRD). C statistics and time-dependent receiver operating characteristics (ROC) were used to assess diagnostic validity. Results: During a median 4.5 years of follow-up, 103 patients (44.0%) progressed to ESRD and 65 (27.8%) died. The median fold changes of nine metabolites belonged to monosaccharide and tricarboxylic acid (TCA) cycle metabolites tended to increase with DKD stage. Myo-inositol, choline, and citrates were correlated with eGFR and choline, while mannose and myo-inositol were correlated with UPCR. Elevated urinary monosaccharide and TCA cycle metabolites showed associations with increased morality and ESRD progression. The predictive power of ESRD progression was high, in the order of choline, myo-inositol, and citrate. Although urinary metabolites alone were less predictive than serum creatinine or UPCR, myo-inositol had additive effect with serum creatinine and UPCR. In time-dependent ROC, myo-inositol was more predictive than UPCR of 1-year ESRD progression prediction. Conclusion: Myo-inositol can be used as an additive biomarker of ESRD progression in DKD.

Keyword

Diabetic nephropathies; End-stage renal disease; Metabolomics; Myo-inositol
Full Text Links
  • KRCP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr