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Predicting idiopathic toxicity of cisplatin by a pharmacometabonomic approach

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dc.contributor.authorKwon, Hyuk Nam-
dc.contributor.authorKim, Mina-
dc.contributor.authorWen, He-
dc.contributor.authorKang, Sunmi-
dc.contributor.authorYang, Hye-ji-
dc.contributor.authorChoi, Myung-Joo-
dc.contributor.authorLee, Hee Seung-
dc.contributor.authorChoi, DalWoong-
dc.contributor.authorPark, In Suh-
dc.contributor.authorSuh, Young Ju-
dc.contributor.authorHong, Soon-Sun-
dc.contributor.authorPark, Sunghyouk-
dc.date.accessioned2021-09-07T14:24:28Z-
dc.date.available2021-09-07T14:24:28Z-
dc.date.created2021-06-14-
dc.date.issued2011-03-
dc.identifier.issn0085-2538-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/112889-
dc.description.abstractCisplatin has been one of the most widely used anticancer agents, but its nephrotoxicity remains a dose-limiting complication. Here, we evaluated the idiopathic nature and the predose prediction of cisplatin-induced nephrotoxicity using a nuclear magnetic resonance (NMR)-based pharmacometabonomic approach. Cisplatin produced serious toxic responses in some animals (toxic group), but had little effect in others (nontoxic group), as judged by hematological and histological results. The individual metabolic profiles, assessed by urine NMR spectra, showed large differences between the post-administration profiles of the two groups, indicating the relevance of the NMR approach. Importantly, multivariate analysis of the NMR data showed that the toxic and nontoxic groups can be differentiated based on the pretreatment metabolite profiles. Leave-one-out analysis, performed to evaluate the practical performance of our approach, gave a 66% accuracy rate in predicting toxic responses based on the pretreatment metabolite profiles. Hence, we provide a working model that can explain the idiopathic toxicity mechanism based on marker metabolites found by NMR analysis consistent with tissue NADH measurements. Thus, a pharmacometabonomic approach using pretreatment metabolite profiles may help expedite personalized chemotherapy of anticancer drugs. Kidney International (2011) 79, 529-537; doi: 10.1038/ki.2010.440; published online 27 October 2010-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE INC-
dc.subjectTOTAL CORRELATION SPECTROSCOPY-
dc.subjectRAT-LIVER MITOCHONDRIA-
dc.subjectCELL LUNG-CANCER-
dc.subjectPERSONALIZED MEDICINE-
dc.subjectINFORMATION RECOVERY-
dc.subjectINDUCED NEPHROTOXICITY-
dc.subjectMETABOLOMICS APPROACH-
dc.subjectKIDNEY-TRANSPLANTS-
dc.subjectOXIDATIVE STRESS-
dc.subjectDRUG-TREATMENT-
dc.titlePredicting idiopathic toxicity of cisplatin by a pharmacometabonomic approach-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, DalWoong-
dc.identifier.doi10.1038/ki.2010.440-
dc.identifier.scopusid2-s2.0-79951678399-
dc.identifier.wosid000287353000008-
dc.identifier.bibliographicCitationKIDNEY INTERNATIONAL, v.79, no.5, pp.529 - 537-
dc.relation.isPartOfKIDNEY INTERNATIONAL-
dc.citation.titleKIDNEY INTERNATIONAL-
dc.citation.volume79-
dc.citation.number5-
dc.citation.startPage529-
dc.citation.endPage537-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaUrology & Nephrology-
dc.relation.journalWebOfScienceCategoryUrology & Nephrology-
dc.subject.keywordPlusTOTAL CORRELATION SPECTROSCOPY-
dc.subject.keywordPlusRAT-LIVER MITOCHONDRIA-
dc.subject.keywordPlusCELL LUNG-CANCER-
dc.subject.keywordPlusPERSONALIZED MEDICINE-
dc.subject.keywordPlusINFORMATION RECOVERY-
dc.subject.keywordPlusINDUCED NEPHROTOXICITY-
dc.subject.keywordPlusMETABOLOMICS APPROACH-
dc.subject.keywordPlusKIDNEY-TRANSPLANTS-
dc.subject.keywordPlusOXIDATIVE STRESS-
dc.subject.keywordPlusDRUG-TREATMENT-
dc.subject.keywordAuthoranticancer-
dc.subject.keywordAuthorcisplatin-
dc.subject.keywordAuthorpharmacometabonomics-
dc.subject.keywordAuthorprediction-
dc.subject.keywordAuthortoxicity-
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