Pattern recognition analysis for 1H NMR spectra of plasma from hemodialysis patients

Anal Bioanal Chem. 2009 Jul;394(6):1655-60. doi: 10.1007/s00216-009-2830-9. Epub 2009 Jun 1.

Abstract

1H NMR spectroscopic and pattern recognition-based methods (NMR-PR) were applied to the metabolic profiling studies on hemodialysis (HD). Plasma samples were collected from 37 patients before and after HD and measured by 600 MHz NMR spectroscopy. Each spectrum was data-processed and subjected to principal component analysis for pattern recognition. Spectral patterns of plasma between pre- and post-dialyses were clearly discriminated, together with significant fluctuations in the levels of creatinine, trimethylamine-N-oxide, glucose, lactate, and acetate, which were quantitated. We have first observed the significant elevation of lactate levels in post-dialysis plasma. The present study has demonstrated the high feasibility of NMR-PR method for monitoring the dialysis condition and comprehensive profiling of the change of low-molecular-weight metabolites in HD.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acetates / blood
  • Adult
  • Aged
  • Aged, 80 and over
  • Blood Glucose / metabolism
  • Creatine / blood
  • Female
  • Humans
  • Lactic Acid / blood
  • Magnetic Resonance Spectroscopy / methods*
  • Male
  • Metabolome
  • Methylamines / blood
  • Middle Aged
  • Protons
  • Renal Dialysis*

Substances

  • Acetates
  • Blood Glucose
  • Methylamines
  • Protons
  • Lactic Acid
  • trimethyloxamine
  • Creatine