Mechanism of chronic kidney disease progression and novel biomarkers: A metabolomic analysis of experimental glomerulonephritis

Kyoung Hee Han, Bora Kim, Sang Chun Ji, Hee Gyung Kang, Hae Il Cheong, Joo Youn Cho, Il Soo Ha

Research output: Contribution to journalArticle

Abstract

While a complex network of cellular and molecular events is known to be involved in the pathophysiological mechanism of chronic kidney disease (CKD), the divergence point between reversal and progression and the event that triggers CKD progression are still unknown. To understand the different mechanisms between reversible and irreversible kidney disease and to search for urinary biomarkers that can predict prognosis, a metabolomic analysis was applied to compare acute and chronic experimental glomerulonephritis (GN) models. Four metabolites, namely, epoxyoctadecenoic acid (EpOME), epoxyeicosatetraenoic acid (EpETE), α-linolenic acid (ALA), and hydroxyretinoic acid, were identified as predictive markers after comparing the chronic nephritis model with acute nephritis and control groups (false discovery rate adjusted p-value (q-value) < 0.05). Renal mRNA expression of cytochrome P450 and epoxide hydrolase was also identified as being involved in the production of epoxide metabolites from these polyunsaturated fatty acids (p < 0.05). These results suggested that the progression of chronic kidney disease is associated with abnormally activated epoxide hydrolase, leading to an increase in EpOME and EpETE as pro-inflammatory eicosanoids.

Original languageEnglish
Article number169
JournalMetabolites
Volume10
Issue number4
DOIs
StatePublished - Apr 2020

Keywords

  • Chronic glomerulonephritis
  • Chronic kidney disease
  • Experimental
  • Untargeted metabolomics

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