Literature DB >> 22248264

Longitudinal pharmacometabonomics for predicting patient responses to therapy: drug metabolism, toxicity and efficacy.

Jeremy K Nicholson, Jeremy R Everett, John C Lindon.   

Abstract

Pharmacometabonomics describes the use of metabolic profiling of biofluids, tissues and tissue extracts to predict, prior to dosing, the beneficial and adverse effects of an intervention such as drug administration. The approach not only is analogous to pharmacogenomics but also is sensitive to environmental factors such as the gut microbiome. Recent applications of pharmacometabonomics are presented and the extension to the use of longitudinal sampling is introduced. Clinical and other human applications of pharmacometabonomics are highlighted and possible future clinical applications of pharmacometabonomics and longitudinal pharmacometabonomics are discussed. These include clinical trials of new drugs either at the first-into-man stage or later in Phase II and III trials, and assessment of individual patients or groups of patients for particular therapies (personalised and stratified medicine approaches). Since metabonomics approaches are sensitive to both the host genome effects and the gut microbiome, pharmacometabonomics has particular utility for studying the host-microbiome interactions and for assessing new therapies that target the gut bacteria. Since the microbiome also has implications for nutrition and drug pharmacokinetics, such metabolic profiling approaches are likely to of use in such studies. It is anticipated that as metabonomics analytical and statistical technologies continue to develop, more applications will be realised and these should find use in real clinical situations, even monitoring patients in real time.

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Year:  2012        PMID: 22248264     DOI: 10.1517/17425255.2012.646987

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  20 in total

Review 1.  Review: toxicometabolomics.

Authors:  Mounir Bouhifd; Thomas Hartung; Helena T Hogberg; Andre Kleensang; Liang Zhao
Journal:  J Appl Toxicol       Date:  2013-05-30       Impact factor: 3.446

2.  Molecular phenotyping of a UK population: defining the human serum metabolome.

Authors:  Warwick B Dunn; Wanchang Lin; David Broadhurst; Paul Begley; Marie Brown; Eva Zelena; Andrew A Vaughan; Antony Halsall; Nadine Harding; Joshua D Knowles; Sue Francis-McIntyre; Andy Tseng; David I Ellis; Steve O'Hagan; Gill Aarons; Boben Benjamin; Stephen Chew-Graham; Carly Moseley; Paula Potter; Catherine L Winder; Catherine Potts; Paula Thornton; Catriona McWhirter; Mohammed Zubair; Martin Pan; Alistair Burns; J Kennedy Cruickshank; Gordon C Jayson; Nitin Purandare; Frederick C W Wu; Joe D Finn; John N Haselden; Andrew W Nicholls; Ian D Wilson; Royston Goodacre; Douglas B Kell
Journal:  Metabolomics       Date:  2014-07-25       Impact factor: 4.290

3.  Integration of pharmacometabolomics with pharmacokinetics and pharmacodynamics: towards personalized drug therapy.

Authors:  Vasudev Kantae; Elke H J Krekels; Michiel J Van Esdonk; Peter Lindenburg; Amy C Harms; Catherijne A J Knibbe; Piet H Van der Graaf; Thomas Hankemeier
Journal:  Metabolomics       Date:  2016-12-19       Impact factor: 4.290

4.  Metabolomics enables precision medicine: "A White Paper, Community Perspective".

Authors:  Richard D Beger; Warwick Dunn; Michael A Schmidt; Steven S Gross; Jennifer A Kirwan; Marta Cascante; Lorraine Brennan; David S Wishart; Matej Oresic; Thomas Hankemeier; David I Broadhurst; Andrew N Lane; Karsten Suhre; Gabi Kastenmüller; Susan J Sumner; Ines Thiele; Oliver Fiehn; Rima Kaddurah-Daouk
Journal:  Metabolomics       Date:  2016-09-02       Impact factor: 4.290

Review 5.  Applying metabolomics to cardiometabolic intervention studies and trials: past experiences and a roadmap for the future.

Authors:  Naomi J Rankin; David Preiss; Paul Welsh; Naveed Sattar
Journal:  Int J Epidemiol       Date:  2016-10-27       Impact factor: 7.196

6.  The human plasma-metabolome: Reference values in 800 French healthy volunteers; impact of cholesterol, gender and age.

Authors:  Séverine Trabado; Abdallah Al-Salameh; Vincent Croixmarie; Perrine Masson; Emmanuelle Corruble; Bruno Fève; Romain Colle; Laurent Ripoll; Bernard Walther; Claire Boursier-Neyret; Erwan Werner; Laurent Becquemont; Philippe Chanson
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

7.  Metabolic phenotyping and systems biology approaches to understanding neurological disorders.

Authors:  Marc-Emmanuel Dumas; Laetitia Davidovic
Journal:  F1000Prime Rep       Date:  2013-06-03

Review 8.  Pharmacometabolomics-aided Pharmacogenomics in Autoimmune Disease.

Authors:  Theodora Katsila; Evangelia Konstantinou; Ioanna Lavda; Harilaos Malakis; Ioanna Papantoni; Lamprini Skondra; George P Patrinos
Journal:  EBioMedicine       Date:  2016-02-02       Impact factor: 8.143

Review 9.  From Metabonomics to Pharmacometabonomics: The Role of Metabolic Profiling in Personalized Medicine.

Authors:  Jeremy R Everett
Journal:  Front Pharmacol       Date:  2016-09-08       Impact factor: 5.810

Review 10.  Pharmacometabolomics in Early-Phase Clinical Development.

Authors:  T Burt; S Nandal
Journal:  Clin Transl Sci       Date:  2016-04-29       Impact factor: 4.689

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