2008
DOI: 10.1159/000123842
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Metabonomics Study of Intestinal Transplantation Using Ultrahigh-Performance Liquid Chromatography Time-of-Flight Mass Spectrometry

Abstract: Background: Intestinal transplantation is a potential treatment for patients with irreversible intestinal failure. However, the long-term outcome is still unsatisfactory compared with transplantation of other solid organs because of transplantation rejection. Therefore, early detection and accurate diagnosis of rejection is essential. Recently, metabonomics has become a platform for monitoring of the process of organ transplantation. Methods: The metabolite profiling in the plasma was measured by ultrahigh-per… Show more

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Cited by 8 publications
(2 citation statements)
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References 53 publications
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“…This technology has been successfully applied to profile proteins from different forms of clinical specimens (16), and protein combinations provide potentially innovative biomarkers which are useful in diagnosis or disease monitoring. In the search of biomarkers for ACR, various metabolites and proteins have been suggested as potential biomarkers for allograft monitoring in both human and mouse study (6, 17, 18). …”
mentioning
confidence: 99%
“…This technology has been successfully applied to profile proteins from different forms of clinical specimens (16), and protein combinations provide potentially innovative biomarkers which are useful in diagnosis or disease monitoring. In the search of biomarkers for ACR, various metabolites and proteins have been suggested as potential biomarkers for allograft monitoring in both human and mouse study (6, 17, 18). …”
mentioning
confidence: 99%
“…Metabolomics approaches have been employed in organ transplantations 39 41 . NMR spectroscopy-based metabolomics analysis of the whole blood samples from a patient who underwent two consecutive liver transplantations showed distinctive metabolic changes 2 h after the first transplant surgery when no other variable or conventional laboratory tests indicated poor graft function, indicating the great value of metabolomics in the identification of transplantation-related biomarkers 42 44 .…”
Section: Discussionmentioning
confidence: 99%