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

Masako Fujiwara, Takeshi Kobayashi, Takahiro Jomori, Yutaka Maruyama, Yoshitomo Oka, Hiroshi Sekino, Yutaka Imai, Kazuhisa Takeuchi

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

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. [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)1655-1660
Number of pages6
JournalAnalytical and Bioanalytical Chemistry
Volume394
Issue number6
DOIs
Publication statusPublished - 2009 Jul

Keywords

  • Acetate
  • Lactate
  • Metabolomics
  • PCA
  • Renal failure
  • TMAO

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry

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