Literature DB >> 17311441

Pharmacometabonomic phenotyping reveals different responses to xenobiotic intervention in rats.

Houkai Li1, Yan Ni, Mingming Su, Yunping Qiu, Mingmei Zhou, Mingfeng Qiu, Aihua Zhao, Liping Zhao, Wei Jia.   

Abstract

In conventional pharmacological studies, intersubject differences within an animal strain are normally neglected, leading to variations in pharmacological outcomes in response to the same stimulus. Using two classical experimental models, the Streptozotocin (STZ)-induced diabetic model of Wistar rats and the high-energy, diet-induced obesity model of Sprague-Dawley rats, we demonstrate that the different outcomes of STZ or diet intervention are closely associated with variation in predose (baseline) urinary metabolic profiles of the rats. The pharmacometabonomic analysis of predose metabolic profiles indicates that the intersubject difference is, to a great extent, associated with gut-microbiota, which predisposes different pathophysiological outcomes upon diet alteration or chemical stimulus. We hypothesize that there may exist an important association between observations from these two models and the obese/diabetic human population in that subtle variations in metabolic phenotype may predetermine different systems' responses to xenobiotic perturbation, ultimately leading to varied pathophysiological processes. Results from two independent models also suggest that the pharmacometabonomics approach is of great importance in the study of pharmacology and clinical drug evaluations, where endogenous metabolite signatures of predose individuals should be taken into consideration to minimize intersubject difference and the resulting variation in the postdose pharmacological outcomes.

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Year:  2007        PMID: 17311441     DOI: 10.1021/pr060513q

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  16 in total

1.  Pharmacometabonomic identification of a significant host-microbiome metabolic interaction affecting human drug metabolism.

Authors:  T Andrew Clayton; David Baker; John C Lindon; Jeremy R Everett; Jeremy K Nicholson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-10       Impact factor: 11.205

2.  A practical approach to detect unique metabolic patterns for personalized medicine.

Authors:  Jennifer M Johnson; Tianwei Yu; Frederick H Strobel; Dean P Jones
Journal:  Analyst       Date:  2010-09-13       Impact factor: 4.616

3.  Community dynamics in the mouse gut microbiota: a possible role for IRF9-regulated genes in community homeostasis.

Authors:  Claire L Thompson; Markus J Hofer; Iain L Campbell; Andrew J Holmes
Journal:  PLoS One       Date:  2010-04-23       Impact factor: 3.240

4.  High-fat diet-induced obesity Rat model: a comparison between Wistar and Sprague-Dawley Rat.

Authors:  Cláudia Marques; Manuela Meireles; Sónia Norberto; Joana Leite; Joana Freitas; Diogo Pestana; Ana Faria; Conceição Calhau
Journal:  Adipocyte       Date:  2015-07-15       Impact factor: 4.534

5.  Symbiotic gut microbes modulate human metabolic phenotypes.

Authors:  Min Li; Baohong Wang; Menghui Zhang; Mattias Rantalainen; Shengyue Wang; Haokui Zhou; Yan Zhang; Jian Shen; Xiaoyan Pang; Meiling Zhang; Hua Wei; Yu Chen; Haifeng Lu; Jian Zuo; Mingming Su; Yunping Qiu; Wei Jia; Chaoni Xiao; Leon M Smith; Shengli Yang; Elaine Holmes; Huiru Tang; Guoping Zhao; Jeremy K Nicholson; Lanjuan Li; Liping Zhao
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-05       Impact factor: 11.205

6.  Application of metabolomics in traditional chinese medicine differentiation of deficiency and excess syndromes in patients with diabetes mellitus.

Authors:  Tao Wu; Ming Yang; Hua-Feng Wei; Song-Hua He; Shun-Chun Wang; Guang Ji
Journal:  Evid Based Complement Alternat Med       Date:  2012-06-13       Impact factor: 2.629

7.  Plasma metabolomic profiling of patients with diabetes-associated cognitive decline.

Authors:  Lin Zhang; Meng Li; Libin Zhan; Xiaoguang Lu; Lina Liang; Benli Su; Hua Sui; Zhengnan Gao; Yuzhong Li; Ying Liu; Benhui Wu; Qigui Liu
Journal:  PLoS One       Date:  2015-05-14       Impact factor: 3.240

8.  Metabonomic strategy to the evaluation of chinese medicine compound danshen dripping pills interfering myocardial ischemia in rats.

Authors:  Xue Xin; Haimiao Zou; Ningning Zheng; Xinchun Xu; Yinmin Liu; Xiaoxian Wang; Hongbing Wu; Lina Lu; Jing Su; Mingfeng Qiu; Xiaoyan Wang
Journal:  Evid Based Complement Alternat Med       Date:  2013-05-02       Impact factor: 2.629

9.  Pharmacometabolomic approach to predict QT prolongation in guinea pigs.

Authors:  Jeonghyeon Park; Keumhan Noh; Hae Won Lee; Mi-sun Lim; Sook Jin Seong; Jeong Ju Seo; Eun-Jung Kim; Wonku Kang; Young-Ran Yoon
Journal:  PLoS One       Date:  2013-04-04       Impact factor: 3.240

10.  Variation in Taxonomic Composition of the Fecal Microbiota in an Inbred Mouse Strain across Individuals and Time.

Authors:  Yana Emmy Hoy; Elisabeth M Bik; Trevor D Lawley; Susan P Holmes; Denise M Monack; Julie A Theriot; David A Relman
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

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