Literature DB >> 22823021

Practical metabolomics in drug discovery.

Keith M Wilcoxen1, Taisuke Uehara, Khin Than Myint, Yoshiaki Sato, Yoshiya Oda.   

Abstract

IMPORTANCE OF THE FIELD: Metabolomics is increasingly becoming an important field in the pharmaceutical industry to support the discovery and development of therapeutic agents. It allows the comprehensive and simultaneous profiling of hundreds of discrete biologically important molecules, including amino acids, sugars, lipids and exogenous substances from biological fluids and tissues. Metabolomics is the 'omics' field that most represents the interplay of internal biological regulation and external environmental influences on disease, thereby being of particular importance to disease mitigation and management. AREAS COVERED IN THIS REVIEW: Technological advances in the experimental work flow, analytical detection strategies and bioinformatics tools have enabled metabolomics studies to become increasingly comprehensive, robust and informative for the understanding of disease, drug action and the development of biomarkers. This review will focus on the practical aspects of metabolomics studies as they have been applied to the study of mammalian biological systems, specifically targeted to the steps of experimental design with regard to sample preparation, sample analysis and data analysis of both polar and non-polar metabolites. WHAT THE READER WILL GAIN: The reader will gain an overview of the field of metabolomics as it applies to drug development and the practical issues involved with experimental design. We will discuss the various methods of sample preparation and analysis as they apply to different classes of metabolites and highlight recent advances in the field that illustrate these methods. TAKE HOME MESSAGE: The field of metabolomics is a rapidly expanding discipline that is being applied to various aspects of drug development. The large diversity of metabolites found in nature dictates that different methods be developed for the investigation of different classes of metabolites. As the field of metabolomics continues to mature, it is likely that it will play an increasingly important role in the characterization of disease and the future development of biomarkers to assess drug efficacy and safety.

Entities:  

Year:  2010        PMID: 22823021     DOI: 10.1517/17460441003631854

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  6 in total

1.  Metabolomics technology and bioinformatics for precision medicine.

Authors:  Rajeev K Azad; Vladimir Shulaev
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

2.  Identification of a new plasma biomarker of Alzheimer's disease using metabolomics technology.

Authors:  Yoshiaki Sato; Ikumi Suzuki; Tatsuji Nakamura; Francois Bernier; Ken Aoshima; Yoshiya Oda
Journal:  J Lipid Res       Date:  2011-12-27       Impact factor: 5.922

3.  Comparative lipidomics of mouse brain exposed to enriched environment.

Authors:  Yoshiaki Sato; Francois Bernier; Ikumi Suzuki; Sadaharu Kotani; Makoto Nakagawa; Yoshiya Oda
Journal:  J Lipid Res       Date:  2013-07-06       Impact factor: 5.922

4.  Multivariate Analysis in Metabolomics.

Authors:  Bradley Worley; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

5.  Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration.

Authors:  Yoshihiro Izumi; Fumio Matsuda; Akiyoshi Hirayama; Kazutaka Ikeda; Yoshihiro Kita; Kanta Horie; Daisuke Saigusa; Kosuke Saito; Yuji Sawada; Hiroki Nakanishi; Nobuyuki Okahashi; Masatomo Takahashi; Motonao Nakao; Kosuke Hata; Yutaro Hoshi; Motohiko Morihara; Kazuhiro Tanabe; Takeshi Bamba; Yoshiya Oda
Journal:  Metabolites       Date:  2019-10-31

6.  Metabolomic profile of systemic sclerosis patients.

Authors:  Federica Murgia; Silvia Svegliati; Simone Poddighe; Milena Lussu; Aldo Manzin; Tatiana Spadoni; Colomba Fischetti; Armando Gabrielli; Luigi Atzori
Journal:  Sci Rep       Date:  2018-05-16       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.