1H NMR-based metabolite profiling of plasma in a rat model of chronic kidney disease

PLoS One. 2014 Jan 20;9(1):e85445. doi: 10.1371/journal.pone.0085445. eCollection 2014.

Abstract

Chronic kidney disease (CKD) is characterized by the gradual loss of the kidney function to excrete wastes and fluids from the blood. (1)H NMR-based metabolomics was exploited to investigate the altered metabolic pattern in rats with CKD induced by surgical reduction of the renal mass (i.e., 5/6 nephrectomy (5/6 Nx)), particularly for identifying specific metabolic biomarkers associated with early of CKD. Plasma metabolite profiling was performed in CKD rats (at 4- or 8-weeks after 5/6 Nx) compared to sham-operated rats. Principle components analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) score plots showed a significant separation between the groups. The resulting metabolic profiles demonstrated significantly increased plasma levels of organic anions, including citrate, β-hydroxybutyrate, lactate, acetate, acetoacetate, and formate in CKD. Moreover, levels of alanine, glutamine, and glutamate were significantly higher. These changes were likely to be associated with complicated metabolic acidosis in CKD for counteracting systemic metabolic acidosis or increased protein catabolism from muscle. In contrast, levels of VLDL/LDL (CH2)n and N-acetylglycoproteins were decreased. Taken together, the observed changes of plasma metabolite profiles in CKD rats provide insights into the disturbed metabolism in early phase of CKD, in particular for the altered metabolism of acid-base and/or amino acids.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Kidney / metabolism
  • Magnetic Resonance Spectroscopy / methods*
  • Male
  • Metabolome / physiology
  • Rats
  • Rats, Sprague-Dawley
  • Renal Insufficiency, Chronic / blood*
  • Renal Insufficiency, Chronic / metabolism*
  • Transcriptome / genetics

Grants and funding

This study was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning, Korea (2010-0019393, 2010-0019394, 2013R1A1A2007266, and 2013M3A9B6046418); the Korea Healthcare Technology R&D Project, Ministry of Health & Welfare, Korea (A111345), Korea Basic Science Institute (T33409), the Creative Allied Project (CAP), and Kyungpook National University Research Fund, 2012. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.