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Plasma metabolomics identifies markers of impaired renal function: A meta-analysis of 3,089 persons with type 2 diabetes

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  1. Effects of Dapagliflozin in Patients With Kidney Disease, With and Without Heart Failure

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  • Nete Tofte
  • Nicole Vogelzangs
  • Dennis Mook-Kanamori
  • Adela Brahimaj
  • Jana Nano
  • Fariba Ahmadizar
  • Ko Willems van Dijk
  • Marie Frimodt-Møller
  • Ilja Arts
  • Joline W J Beulens
  • Femke Rutters
  • Amber A van der Heijden
  • Maryam Kavousi
  • Coen D A Stehouwer
  • Giel Nijpels
  • Marleen M J van Greevenbroek
  • Carla J H van der Kallen
  • Peter Rossing
  • Tarunveer S Ahluwalia
  • Leen M 't Hart
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Context: There is a need for novel biomarkers and better understanding of the pathophysiology of diabetic kidney disease. Objective: To investigate associations between plasma metabolites and kidney function in people with type 2 diabetes (T2D). Design: 3089 samples from individuals with T2D, collected between 1999 and 2015, from 5 independent Dutch cohort studies were included. Up to 7 years follow-up was available in 1100 individuals from 2 of the cohorts. Main outcome measures: Plasma metabolites (n = 149) were measured by nuclear magnetic resonance spectroscopy. Associations between metabolites and estimated glomerular filtration rate (eGFR), urinary albumin-to-creatinine ratio (UACR), and eGFR slopes were investigated in each study followed by random effect meta-analysis. Adjustments included traditional cardiovascular risk factors and correction for multiple testing.

Results: In total, 125 metabolites were significantly associated (P FDR = 1.5×10 –32 − 0.046; β = −11.98-2.17) with eGFR. Inverse associations with eGFR were demonstrated for branched-chain and aromatic amino acids (AAAs), glycoprotein acetyls, triglycerides (TGs), lipids in very low-density lipoproteins (VLDL) subclasses, and fatty acids (P FDR < 0.03). We observed positive associations with cholesterol and phospholipids in high-density lipoproteins (HDL) and apolipoprotein A1 (P FDR < 0.05). Albeit some metabolites were associated with UACR levels (P < 0.05), significance was lost after correction for multiple testing. Tyrosine and HDL-related metabolites were positively associated with eGFR slopes before adjustment for multiple testing (P Tyr = 0.003; P HDLrelated < 0.05), but not after. Conclusions: This study identified metabolites associated with impaired kidney function in T2D, implying involvement of lipid and amino acid metabolism in the pathogenesis. Whether these processes precede or are consequences of renal impairment needs further investigation.

Original languageEnglish
Article numberdgaa173
JournalThe Journal of clinical endocrinology and metabolism
Volume105
Issue number7
Pages (from-to)2275-2287
ISSN0021-972X
DOIs
Publication statusPublished - 1 Jul 2020

    Research areas

  • albuminuria, meta-analysis, metabolomics, NMR, renal function

ID: 59743401