Literature DB >> 22114327

Metabolomics in drug target discovery.

J D Rabinowitz1, J G Purdy, L Vastag, T Shenk, E Koyuncu.   

Abstract

Most diseases result in metabolic changes. In many cases, these changes play a causative role in disease progression. By identifying pathological metabolic changes, metabolomics can point to potential new sites for therapeutic intervention. Particularly promising enzymatic targets are those that carry increased flux in the disease state. Definitive assessment of flux requires the use of isotope tracers. Here we present techniques for finding new drug targets using metabolomics and isotope tracers. The utility of these methods is exemplified in the study of three different viral pathogens. For influenza A and herpes simplex virus, metabolomic analysis of infected versus mock-infected cells revealed dramatic concentration changes around the current antiviral target enzymes. Similar analysis of human-cytomegalovirus-infected cells, however, found the greatest changes in a region of metabolism unrelated to the current antiviral target. Instead, it pointed to the tricarboxylic acid (TCA) cycle and its efflux to feed fatty acid biosynthesis as a potential preferred target. Isotope tracer studies revealed that cytomegalovirus greatly increases flux through the key fatty acid metabolic enzyme acetyl-coenzyme A carboxylase. Inhibition of this enzyme blocks human cytomegalovirus replication. Examples where metabolomics has contributed to identification of anticancer drug targets are also discussed. Eventual proof of the value of metabolomics as a drug target discovery strategy will be successful clinical development of therapeutics hitting these new targets.

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Year:  2011        PMID: 22114327      PMCID: PMC4084595          DOI: 10.1101/sqb.2011.76.010694

Source DB:  PubMed          Journal:  Cold Spring Harb Symp Quant Biol        ISSN: 0091-7451


  69 in total

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Journal:  Am J Physiol       Date:  1996-05

2.  Monoacylglycerol lipase exerts dual control over endocannabinoid and fatty acid pathways to support prostate cancer.

Authors:  Daniel K Nomura; Donald P Lombardi; Jae Won Chang; Sherry Niessen; Anna M Ward; Jonathan Z Long; Heather H Hoover; Benjamin F Cravatt
Journal:  Chem Biol       Date:  2011-07-29

3.  Inhibition of calmodulin-dependent kinase kinase blocks human cytomegalovirus-induced glycolytic activation and severely attenuates production of viral progeny.

Authors:  Jessica McArdle; Xenia L Schafer; Joshua Munger
Journal:  J Virol       Date:  2010-11-17       Impact factor: 5.103

4.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

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Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

5.  Branched tricarboxylic acid metabolism in Plasmodium falciparum.

Authors:  Kellen L Olszewski; Michael W Mather; Joanne M Morrisey; Benjamin A Garcia; Akhil B Vaidya; Joshua D Rabinowitz; Manuel Llinás
Journal:  Nature       Date:  2010-08-05       Impact factor: 49.962

6.  Glioma-derived mutations in IDH1 dominantly inhibit IDH1 catalytic activity and induce HIF-1alpha.

Authors:  Shimin Zhao; Yan Lin; Wei Xu; Wenqing Jiang; Zhengyu Zha; Pu Wang; Wei Yu; Zhiqiang Li; Lingling Gong; Yingjie Peng; Jianping Ding; Qunying Lei; Kun-Liang Guan; Yue Xiong
Journal:  Science       Date:  2009-04-10       Impact factor: 47.728

7.  Monoacylglycerol lipase regulates a fatty acid network that promotes cancer pathogenesis.

Authors:  Daniel K Nomura; Jonathan Z Long; Sherry Niessen; Heather S Hoover; Shu-Wing Ng; Benjamin F Cravatt
Journal:  Cell       Date:  2010-01-08       Impact factor: 41.582

8.  Oncometabolite 2-hydroxyglutarate is a competitive inhibitor of α-ketoglutarate-dependent dioxygenases.

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Journal:  Cancer Cell       Date:  2011-01-18       Impact factor: 38.585

Review 9.  Metabolic networks in motion: 13C-based flux analysis.

Authors:  Uwe Sauer
Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

10.  Single valproic acid treatment inhibits glycogen and RNA ribose turnover while disrupting glucose-derived cholesterol synthesis in liver as revealed by the [U-C(6)]-d-glucose tracer in mice.

Authors:  Richard D Beger; Deborah K Hansen; Laura K Schnackenberg; Brandie M Cross; Javad J Fatollahi; F Tracy Lagunero; Zoltan Sarnyai; Laszlo G Boros
Journal:  Metabolomics       Date:  2009-03-31       Impact factor: 4.290

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  28 in total

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2.  Untargeted metabolomics analysis of the upper respiratory tract of ferrets following influenza A virus infection and oseltamivir treatment.

Authors:  David J Beale; Ding Yuan Oh; Avinash V Karpe; Celeste Tai; Michael S Dunn; Danielle Tilmanis; Enzo A Palombo; Aeron C Hurt
Journal:  Metabolomics       Date:  2019-03-01       Impact factor: 4.290

3.  Metabolomic analysis of rat brain by high resolution nuclear magnetic resonance spectroscopy of tissue extracts.

Authors:  Norbert W Lutz; Evelyne Béraud; Patrick J Cozzone
Journal:  J Vis Exp       Date:  2014-09-21       Impact factor: 1.355

Review 4.  Metabolomic strategies to map functions of metabolic pathways.

Authors:  Melinda M Mulvihill; Daniel K Nomura
Journal:  Am J Physiol Endocrinol Metab       Date:  2014-06-10       Impact factor: 4.310

Review 5.  Innovation: Metabolomics: the apogee of the omics trilogy.

Authors:  Gary J Patti; Oscar Yanes; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2012-03-22       Impact factor: 94.444

6.  Human Cytomegalovirus pUL37x1 Is Important for Remodeling of Host Lipid Metabolism.

Authors:  Yuecheng Xi; Samuel Harwood; Lisa M Wise; John G Purdy
Journal:  J Virol       Date:  2019-10-15       Impact factor: 5.103

7.  Metabolomic profiling for identification of potential biomarkers in patients with dermatomyositis.

Authors:  Tie Zhang; Jing Xu; Yang Liu; Jia Liu
Journal:  Metabolomics       Date:  2019-05-13       Impact factor: 4.290

8.  Recent advances in CMV tropism, latency, and diagnosis during aging.

Authors:  Sean X Leng; Jeremy Kamil; John G Purdy; Niels A Lemmermann; Matthias J Reddehase; Felicia D Goodrum
Journal:  Geroscience       Date:  2017-07-05       Impact factor: 7.713

9.  Argininosuccinate synthetase 1 depletion produces a metabolic state conducive to herpes simplex virus 1 infection.

Authors:  Sarah L Grady; John G Purdy; Joshua D Rabinowitz; Thomas Shenk
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

Review 10.  Activity-based proteomic and metabolomic approaches for understanding metabolism.

Authors:  Devon Hunerdosse; Daniel K Nomura
Journal:  Curr Opin Biotechnol       Date:  2014-03-13       Impact factor: 9.740

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