2008
DOI: 10.1002/nbm.1242
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Measurement of ischaemia–reperfusion in patients with intermittent claudication using NMR‐based metabonomics

Abstract: Intermittent claudication has proved to be a good in vivo model for ischaemia-reperfusion. For assessment of ischaemia-reperfusion damage, the known biochemical markers all have disadvantages with respect to sensitivity and interference with other physiological events. In this work, we studied the metabolic effects of ischaemia-reperfusion in patients with intermittent claudication, and the effects of vitamin C and E intervention, using both traditional biochemical measurements and 1H-NMR-based metabonomics on… Show more

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Cited by 13 publications
(15 citation statements)
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“…Such spectra, often called metabolic profile, constitute a ''fingerprint'' of the NMR detectable part of the whole metabolome. The potential of metabolomics for disease diagnosis, prognosis and, in a clinical trial setting, for monitoring drug therapy relies on its ability to extract a disease signature from the multivariate analysis of the metabolic profiles of statistically relevant ensembles of samples derived from different donors (Oakman et al 2010;Sreekumar et al 2009;Bertini et al 2009;Akira et al 2008;Holmes et al 2008;Bartsch et al 2008;Gao et al 2008;Fearnside et al 2008;Makinen et al 2008;Teichert et al 2008;Coolen et al 2008;Claudino et al 2007;Schnackenberg et al 2007;Marchesi et al 2007;Griffin et al 2007;Constantinou et al 2007;Coen et al 2005;Lindon et al 2004;Brindle et al 2002). Clearly, the reliability of the approach requires that the chemical nature and the relative concentration of all the metabolites present in the biofluids are neither affected by the preanalytical treatment used to store the samples nor by the analytical methodology.…”
Section: Introductionmentioning
confidence: 99%
“…Such spectra, often called metabolic profile, constitute a ''fingerprint'' of the NMR detectable part of the whole metabolome. The potential of metabolomics for disease diagnosis, prognosis and, in a clinical trial setting, for monitoring drug therapy relies on its ability to extract a disease signature from the multivariate analysis of the metabolic profiles of statistically relevant ensembles of samples derived from different donors (Oakman et al 2010;Sreekumar et al 2009;Bertini et al 2009;Akira et al 2008;Holmes et al 2008;Bartsch et al 2008;Gao et al 2008;Fearnside et al 2008;Makinen et al 2008;Teichert et al 2008;Coolen et al 2008;Claudino et al 2007;Schnackenberg et al 2007;Marchesi et al 2007;Griffin et al 2007;Constantinou et al 2007;Coen et al 2005;Lindon et al 2004;Brindle et al 2002). Clearly, the reliability of the approach requires that the chemical nature and the relative concentration of all the metabolites present in the biofluids are neither affected by the preanalytical treatment used to store the samples nor by the analytical methodology.…”
Section: Introductionmentioning
confidence: 99%
“…, to reveal the systemic aspects of biological processes. NMR 22–24 and MS methods hyphenated with chromatographic separation (LC, GC, etc. ) 25–28 are generally used in metabonomic studies.…”
Section: Introductionmentioning
confidence: 99%
“…The level of ketone bodies increases when acetylCoA derived from β-oxidation of free fatty acid exceeds the metabolic capacity of the TCA cycle. Acetate is also an end product of fatty acid oxidation (degradation of short-chain fatty acid: acetoacetate + acetyl-CoA → acetoacetyl-CoA + acetate) [17][18][19]. The levels of acetate in urine were increased at 21 days after 5 mW/cm 2 long-term microwave exposure, suggesting a shift in the balance of energy metabolism from ketone body formation toward utilization during this period.…”
Section: Long-term Microwave Exposure Induced Energy Metabolism Distumentioning
confidence: 95%