2007
DOI: 10.1021/pr070051w
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Metabolic Regulatory Network Alterations in Response to Acute Cold Stress and Ginsenoside Intervention

Abstract: Acute stress may trigger systemic biochemical and physiological changes in living organisms, leading to a rapid loss of homeostasis, which can be gradually reinstated by self-regulatory mechanisms and/ or drug intervention strategy. However, such a sophisticated metabolic regulatory process has so far been poorly understood, especially from a holistic view. Urinary metabolite profiling of SpragueDawley rats exposed to cold temperature (-10°C) for 2 h using GC/MS in conjunction with modern multivariate statisti… Show more

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Cited by 63 publications
(77 citation statements)
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“…The exposure to cold stress altered the urinary excretion level of some metabolites which are believed to be produced by the gut microbial community. 15,31) Human physiological responses to cold exposure are systemic and extensive.…”
Section: Discussionmentioning
confidence: 99%
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“…The exposure to cold stress altered the urinary excretion level of some metabolites which are believed to be produced by the gut microbial community. 15,31) Human physiological responses to cold exposure are systemic and extensive.…”
Section: Discussionmentioning
confidence: 99%
“…And, the above-mentioned changes of metabolic patterns by cold stress affect the composition of human intestinal bacteria. 15) Furthermore, a change of food intake which could affect the gastrointestinal microbiota by altering and/or …”
Section: Discussionmentioning
confidence: 99%
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“…Metabolic profiling of biological samples using GC/MS has been extensively used to evaluate the toxic/disease status and test the efficacy of drug treatment (Pan et al 2010;Qiu et al 2007;Wang et al 2007). This technology provides quantitative information on metabolite levels increase or decrease in response to xenobiotic interventions, especially in hepatotoxicity research (Chen et al 2009;Beger et al 2010;Sun et al 2009).…”
mentioning
confidence: 99%
“…P<0.05 was considered statistically significant. GC/MS data files were converted into NetCDF format via DataBridge (PerkinElmer, Inc.) and pretreatment was conducted as previously described (8). The mean-centered and autoscaled data were then introduced into SIMCA-P 11.5 Software (Umetrics, Umeå, Sweden) for multivariate statistical analysis.…”
Section: Methodsmentioning
confidence: 99%