Literature DB >> 21543640

Identification of a potential biomarker for FABP4 inhibition: the power of lipidomics in preclinical drug testing.

Karsten Suhre1, Werner Römisch-Margl, Martin Hrabé de Angelis, Jerzy Adamski, Gerd Luippold, Robert Augustin.   

Abstract

The fatty acid binding protein 4 (FABP4) belongs to the family of lipid chaperones that control intracellular fluxes and compartmentalization of their respective ligands (e.g., fatty acids). FABP4, which is almost exclusively expressed in adipocytes and macrophages, contributes to the development of insulin resistance and atherosclerosis in mice. Lack of FABP4 protects against the development of insulin resistance associated with genetic or diet-induced obesity in mice. Furthermore, total or macrophage-specific FABP4 deficiency is protective against atherosclerosis in apolipoprotein E-deficient mice. The FABP4 small-molecule inhibitor BMS309403 has demonstrated efficacy in mouse models for type 2 diabetes mellitus and atherosclerosis, resembling phenotypes of mice with FABP4 deficiency. However, despite the therapeutically attractive long-term effects of FABP4 inhibition, an acute biomarker for drug action is lacking. The authors applied mass spectrometry lipidomics analysis to in vitro and in vivo (plasma and adipose tissue) samples upon inhibitor treatment. They report the identification of a potential biomarker for acute in vivo FABP4 inhibition that is applicable for further investigations and can be implemented in simple and fast-flow injection mass spectrometry assays. In addition, this approach can be considered a proof-of-principle study that can be applied to other lipid-pathway targeting mechanisms.

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Year:  2011        PMID: 21543640     DOI: 10.1177/1087057111402200

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  10 in total

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Journal:  J Am Soc Nephrol       Date:  2015-06-05       Impact factor: 10.121

Review 2.  Key elements of metabolomics in the study of biomarkers of diabetes.

Authors:  Jerzy Adamski
Journal:  Diabetologia       Date:  2016-10-06       Impact factor: 10.122

Review 3.  Genetic variation in metabolic phenotypes: study designs and applications.

Authors:  Karsten Suhre; Christian Gieger
Journal:  Nat Rev Genet       Date:  2012-10-03       Impact factor: 53.242

4.  Dietary fat differentially influences the lipids storage on the adipose tissue in metabolic syndrome patients.

Authors:  Antonio Camargo; Maria E Meneses; Pablo Perez-Martinez; Javier Delgado-Lista; Yolanda Jimenez-Gomez; Cristina Cruz-Teno; Francisco J Tinahones; Juan A Paniagua; Francisco Perez-Jimenez; Helen M Roche; Maria M Malagon; Jose Lopez-Miranda
Journal:  Eur J Nutr       Date:  2013-08-07       Impact factor: 5.614

5.  On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies.

Authors:  Ann-Kristin Petersen; Jan Krumsiek; Brigitte Wägele; Fabian J Theis; H-Erich Wichmann; Christian Gieger; Karsten Suhre
Journal:  BMC Bioinformatics       Date:  2012-06-06       Impact factor: 3.169

6.  Tianma modulates blood vessel tonicity.

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Journal:  Open Biochem J       Date:  2012-06-14

7.  Metabolomics of Ramadan fasting: an opportunity for the controlled study of physiological responses to food intake.

Authors:  Sweety Mathew; Susanne Krug; Thomas Skurk; Anna Halama; Antonia Stank; Anna Artati; Cornelia Prehn; Joel A Malek; Gabi Kastenmüller; Werner Römisch-Margl; Jerzy Adamski; Hans Hauner; Karsten Suhre
Journal:  J Transl Med       Date:  2014-06-06       Impact factor: 5.531

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Journal:  Int J Mol Sci       Date:  2017-08-04       Impact factor: 5.923

9.  Inhibition of Fatty Acid Binding Protein 4 in Obese Male Mice Adversely Affects Reproductive Parameters.

Authors:  Tevfik Balci; Rahim Kocabas; Gokhan Cuce; Mehmet Akoz
Journal:  J Reprod Infertil       Date:  2021 Jan-Mar

10.  Methylxanthines Induce a Change in the AD/Neurodegeneration-Linked Lipid Profile in Neuroblastoma Cells.

Authors:  Daniel Janitschke; Anna Andrea Lauer; Cornel Manuel Bachmann; Jakob Winkler; Lea Victoria Griebsch; Sabrina Melanie Pilz; Elena Leoni Theiss; Heike Sabine Grimm; Tobias Hartmann; Marcus Otto Walter Grimm
Journal:  Int J Mol Sci       Date:  2022-02-18       Impact factor: 5.923

  10 in total

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