Chemometric analysis of metabolism disorders in blood plasma of S180 and H22 tumor-bearing mice by high performance liquid chromatography- diode array detection.
Department甘肃省天然药物重点实验室
Sun XM(孙小明); Liu Y(刘芸); Di DL(邸多隆); Wu GT(吴国泰); Guo HY(郭红芸)
2011
Source PublicationJournal of Chemometrics
ISSN0886-9383
AbstractThe aim of this paper is to characterize metabolism disorders in Kunming mice induced by S180 and H22 tumor cells.Metabolic fingerprint based on high performance liquid chromatography-diode array detector (HPLC-DAD) was developed to map the disturbed metabolic responses. In vivo testing of the antitumor activity of paclitaxel (Taxol) was carried out by inhibiting the growth of S180 and H22 tumor cells. Based on 27 common peaks, principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to distinguish the abnormal from control and to find significant endogenous compounds (SECs) which have significant contributions to classification.The tumor growth inhibition ratios (TIRs) of Taxol groups were used to validate the predictive accuracies of the PLS-DA models. The predictive accuracies of PLS-DA models for S180 and H22 tumor model groups were 97.6 and 100%,respectively. Nine (S180) and seven (H22) SECs were discovered, including uric acid and cytidine. In addition, the correlations between relative tumor weights (RTWs) and chromatographic data for the SECs were significant (p<0.05). Investigations on the stability and precision of the established metabolic fingerprints demonstrate that the experiment is well controlled and reliable. This work shows that the platform of HPLC-DAD coupled with chemometric methods provides a promising method for the study of metabolism disorders induced by tumor cells.
KeywordMetabonomics Metabolic Fingerprints Multivariate Statistical Analysis Biomarkers High Performance Liquid Chromatography-diode Array Detector
Subject Area分析化学与药物化学
Funding Organizationthe “Hundred Talents Program” of Chinese Academy of Sciences (CAS) in 2007;the National Natural Sciences Foundation of China (NSFC no. 20775083)
Indexed BySCI
Language英语
Funding Project药物工艺标准研究组
Document Type期刊论文
Identifierhttp://ir.licp.cn/handle/362003/2228
Collection中科院西北特色植物资源化学重点实验室/甘肃省天然药物重点实验室
Corresponding AuthorDi DL(邸多隆)
Recommended Citation
GB/T 7714
Sun XM,Liu Y,Di DL,et al. Chemometric analysis of metabolism disorders in blood plasma of S180 and H22 tumor-bearing mice by high performance liquid chromatography- diode array detection.[J]. Journal of Chemometrics,2011.
APA 孙小明,刘芸,邸多隆,吴国泰,&郭红芸.(2011).Chemometric analysis of metabolism disorders in blood plasma of S180 and H22 tumor-bearing mice by high performance liquid chromatography- diode array detection..Journal of Chemometrics.
MLA 孙小明,et al."Chemometric analysis of metabolism disorders in blood plasma of S180 and H22 tumor-bearing mice by high performance liquid chromatography- diode array detection.".Journal of Chemometrics (2011).
Files in This Item:
File Name/Size DocType Version Access License
Chemometric analysis(0KB) 开放获取LicenseView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[孙小明]'s Articles
[刘芸]'s Articles
[邸多隆]'s Articles
Baidu academic
Similar articles in Baidu academic
[孙小明]'s Articles
[刘芸]'s Articles
[邸多隆]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[孙小明]'s Articles
[刘芸]'s Articles
[邸多隆]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Chemometric analysis of metabolism disorders in blood plasma of S180 and H22 tumor-bearing mice by high performance liquid chromatography- diode array detection.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.