4.5 Article

Comprehensive metabolomic profiling in early IgA nephropathy patients reveals urine glycine as a prognostic biomarker

Journal

JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
Volume 25, Issue 11, Pages 5177-5190

Publisher

WILEY
DOI: 10.1111/jcmm.16520

Keywords

glomerulonephritis; glycine; IgA nephropathy; metabolomics; prognosis

Funding

  1. Ministry of Trade, Industry Energy [10077474]
  2. Korea Basic Science Institute [C060200]
  3. National Research Council of Science & Technology (NST), Republic of Korea [C060200] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The study identified urinary glycine as a potential biomarker for the diagnosis and prognosis of IgAN. Higher levels of urinary glycine were associated with a lower risk of kidney function decline in IgAN patients. Experimental validation in human kidney tubular epithelial cells showed that glycine could ameliorate inflammatory signals induced by tumor necrosis factor-alpha.
Identification of a urinary metabolite biomarker with diagnostic or prognostic significance for early immunoglobulin A nephropathy (IgAN) is needed. We performed nuclear magnetic resonance-based metabolomic profiling and identified 26 metabolites in urine samples. We collected urine samples from 201, 77, 47, 36 and 136 patients with IgAN, patients with membranous nephropathy, patients with minimal change disease, patients with lupus nephritis and healthy controls, respectively. We determined whether a metabolite level is associated with the prognosis of IgAN through Cox regression and continuous net reclassification improvement (cNRI). Finally, in vitro experiments with human kidney tubular epithelial cells (hTECs) were performed for experimental validation. As the results, the urinary glycine level was higher in the IgAN group than the control groups. A higher urinary glycine level was associated with lower risk of eGFR 30% decline in IgAN patients. The addition of glycine to a predictive model including clinicopathologic information significantly improved the predictive power for the prognosis of IgAN [cNRI 0.72 (0.28-0.82)]. In hTECs, the addition of glycine ameliorated inflammatory signals induced by tumour necrosis factor-alpha. Our study demonstrates that urinary glycine may have diagnostic and prognostic value for IgAN and indicates that urinary glycine is a protective biomarker for IgAN.

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