Literature DB >> 24819582

How lipidomics provides new insight into drug discovery.

Antonin Lamaziere1, Claude Wolf, Peter J Quinn.   

Abstract

INTRODUCTION: Automated lipidomic methods based on mass spectrometry (MS) are now proposed to screen a large variety of candidate drugs available that inhibit de novo lipid synthesis and replace tedious methods based on radiotracer incorporation. A major new interest in inhibitors of de novo lipogenesis is their proapoptotic effect observed in cancerous cells. AREAS COVERED: In this review, the authors focus on the screening methods of antilipogenic inhibitors targeting the synthesis of malonylCoA (carbonic anhydrase, acetylCoA carboxylase), palmitylCoA (fatty acid synthase condensing and thioesterase subunits) and monounsaturated fatty acids (Δ9-desaturase). The consequences of inhibition depend on how the pathway deviates above the blockade: accelerated mitochondrial fatty acid oxidation following the decreased malonylCoA level, accumulation of ketone bodies and increased cholesterol synthesis following the increased acetylCoA level. Side effects such as anorexia and skin defects may critically decrease therapeutic indices in the long term. The authors emphasize the need for assessment of toxicity in short-term treatments inducing proapoptotic effects observed in aggressive hormone-dependent malignancies. EXPERT OPINION: The activity of lipogenesis inhibitors can be recognised in lipid profiles established by a combination of MS-based measurements and multivariate analysis processing hundreds of lipid molecular species. Because the method can be automated, it is suitable for screening large chemical libraries, with particular focus on anticancer activities.

Entities:  

Keywords:  anticancer drug; inhibitors of lipogenesis; obesity; pharmacological screening; toxicology

Mesh:

Substances:

Year:  2014        PMID: 24819582     DOI: 10.1517/17460441.2014.914026

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


  4 in total

1.  Local fat treatments: classification proposal.

Authors:  Hernán Pinto
Journal:  Adipocyte       Date:  2015-06-26       Impact factor: 4.534

Review 2.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

Review 3.  Fatty Acids and Breast Cancer: Make Them on Site or Have Them Delivered.

Authors:  William B Kinlaw; Paul W Baures; Leslie E Lupien; Wilson L Davis; Nancy B Kuemmerle
Journal:  J Cell Physiol       Date:  2016-02-16       Impact factor: 6.384

Review 4.  The Potential of Metabolomics in Biomedical Applications.

Authors:  Vanessa Gonzalez-Covarrubias; Eduardo Martínez-Martínez; Laura Del Bosque-Plata
Journal:  Metabolites       Date:  2022-02-19
  4 in total

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