Application of NMR metabolomics to search for human disease biomarkers

Teklab Gebregiworgis, Robert Powers

Research output: Contribution to journalArticle

76 Citations (Scopus)

Abstract

Since antiquity, humans have used body fluids like saliva, urine and sweat for the diagnosis of diseases. The amount, color and smell of body fluids are still used in many traditional medical practices to evaluate an illness and make a diagnosis. The development and application of analytical methods for the detailed analysis of body fluids has led to the discovery of numerous disease biomarkers. Recently, mass spectrometry (MS), nuclear magnetic resonance spectroscopy (NMR), and multivariate statistical techniques have been incorporated into a multidisciplinary approach to profile changes in small molecules associated with the onset and progression of human diseases. The goal of these efforts is to identify metabolites that are uniquely correlated with a specific human disease in order to accurately diagnose and treat the malady. In this review we will discuss recent developments in sample preparation, experimental techniques, the identification and quantification of metabolites, and the chemometric tools used to search for biomarkers of human diseases using NMR.

Original languageEnglish (US)
Pages (from-to)595-610
Number of pages16
JournalCombinatorial Chemistry and High Throughput Screening
Volume15
Issue number8
DOIs
StatePublished - Sep 1 2012

Fingerprint

Metabolomics
Biomarkers
Nuclear magnetic resonance spectroscopy
Body Fluids
Magnetic Resonance Spectroscopy
Body fluids
Metabolites
Sweat
Smell
Saliva
Disease Progression
Mass Spectrometry
Color
Urine
Mass spectrometry
Molecules

Keywords

  • Biomarkers
  • Cmultivariate statistics
  • Metabolomics
  • NMR

ASJC Scopus subject areas

  • Drug Discovery
  • Computer Science Applications
  • Organic Chemistry

Cite this

Application of NMR metabolomics to search for human disease biomarkers. / Gebregiworgis, Teklab; Powers, Robert.

In: Combinatorial Chemistry and High Throughput Screening, Vol. 15, No. 8, 01.09.2012, p. 595-610.

Research output: Contribution to journalArticle

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