Literature DB >> 24348278

The complete targeted profile of the organic acid intermediates of the citric acid cycle using a single stable isotope dilution analysis, sodium borodeuteride reduction and selected ion monitoring GC/MS.

Orval Mamer1, Simon-Pierre Gravel2, Luc Choinière1, Valérie Chénard2, Julie St-Pierre3, Daina Avizonis4.   

Abstract

The quantitative profiling of the organic acid intermediates of the citric acid cycle (CAC) presents a challenge due to the lack of commercially available internal standards for all of the organic acid intermediates. We developed an analytical method that enables the quantitation of all the organic acids in the CAC in a single stable isotope dilution GC/MS analysis with deuterium-labeled analogs used as internal standards. The unstable α-keto acids are rapidly reduced with sodium borodeuteride to the corresponding stable α-deutero-α-hydroxy acids and these, along with their unlabeled analogs and other CAC organic acid intermediates, are converted to their tert-butyldimethylsilyl derivatives. Selected ion monitoring is employed with electron ionization. We validated this method by treating an untransformed mouse mammary epithelial cell line with well-known mitochondrial toxins affecting the electron transport chain and ATP synthase, which resulted in profound perturbations of the concentration of CAC intermediates.

Entities:  

Keywords:  Citric acid cycle; GC/MS; Metabolite profiling; Mitochondrial toxins

Year:  2013        PMID: 24348278      PMCID: PMC3855487          DOI: 10.1007/s11306-013-0521-1

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  24 in total

1.  Sample preparation related to the intracellular metabolome of yeast methods for quenching, extraction, and metabolite quantitation.

Authors:  Warwick B Dunn; Catherine L Winder
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

2.  Gas chromatographic separation and determination of microquantities of the esters of the tricarboxylic acid cycle acids and related compounds.

Authors:  M A Harmon; H W Doelle
Journal:  J Chromatogr       Date:  1969-06-17

3.  Simultaneous determination of multiple intracellular metabolites in glycolysis, pentose phosphate pathway and tricarboxylic acid cycle by liquid chromatography-mass spectrometry.

Authors:  Bing Luo; Karsten Groenke; Ralf Takors; Christian Wandrey; Marco Oldiges
Journal:  J Chromatogr A       Date:  2007-02-16       Impact factor: 4.759

4.  Measurement of urinary lactic, 3-hydroxybutyric, pyruvic and acetoacetic acids in a single analysis using selected ion monitoring and stable isotope labelling techniques.

Authors:  O A Mamer
Journal:  Biomed Environ Mass Spectrom       Date:  1988-01-01

5.  Metabolic profiles show specific mitochondrial toxicities in vitro in myotube cells.

Authors:  Qiuwei Xu; Heather Vu; Liping Liu; Ting-Chuan Wang; William H Schaefer
Journal:  J Biomol NMR       Date:  2011-02-26       Impact factor: 2.835

6.  Simultaneous analysis of amino acids and carboxylic acids by capillary electrophoresis-mass spectrometry using an acidic electrolyte and uncoated fused-silica capillary.

Authors:  Masataka Wakayama; Naohiro Aoki; Haruto Sasaki; Ryu Ohsugi
Journal:  Anal Chem       Date:  2010-11-16       Impact factor: 6.986

7.  Quantitative metabolome analysis using capillary electrophoresis mass spectrometry.

Authors:  Tomoyoshi Soga; Yoshiaki Ohashi; Yuki Ueno; Hisako Naraoka; Masaru Tomita; Takaaki Nishioka
Journal:  J Proteome Res       Date:  2003 Sep-Oct       Impact factor: 4.466

8.  Stable isotope dilution assay for branched chain alpha-hydroxy-and alpha-ketoacids: serum concentrations for normal children.

Authors:  O A Mamer; N S Laschic; C R Scriver
Journal:  Biomed Environ Mass Spectrom       Date:  1986-10

9.  Hypoxia promotes isocitrate dehydrogenase-dependent carboxylation of α-ketoglutarate to citrate to support cell growth and viability.

Authors:  David R Wise; Patrick S Ward; Jessica E S Shay; Justin R Cross; Joshua J Gruber; Uma M Sachdeva; Jesse M Platt; Raymond G DeMatteo; M Celeste Simon; Craig B Thompson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 12.779

10.  Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks.

Authors:  O Fiehn
Journal:  Comp Funct Genomics       Date:  2001
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  17 in total

1.  A comprehensive protocol for multiplatform metabolomics analysis in patient-derived skin fibroblasts.

Authors:  Jordan Wilkins; Dhananjay Sakrikar; Xuan-Mai Petterson; Ian R Lanza; Eugenia Trushina
Journal:  Metabolomics       Date:  2019-05-23       Impact factor: 4.290

Review 2.  Review of recent developments in GC-MS approaches to metabolomics-based research.

Authors:  David J Beale; Farhana R Pinu; Konstantinos A Kouremenos; Mahesha M Poojary; Vinod K Narayana; Berin A Boughton; Komal Kanojia; Saravanan Dayalan; Oliver A H Jones; Daniel A Dias
Journal:  Metabolomics       Date:  2018-11-17       Impact factor: 4.290

3.  Biochemical and anaplerotic applications of in vitro models of propionic acidemia and methylmalonic acidemia using patient-derived primary hepatocytes.

Authors:  M Sol Collado; Allison J Armstrong; Matthew Olson; Stephen A Hoang; Nathan Day; Marshall Summar; Kimberly A Chapman; John Reardon; Robert A Figler; Brian R Wamhoff
Journal:  Mol Genet Metab       Date:  2020-05-11       Impact factor: 4.797

4.  Mapping of the circulating metabolome reveals α-ketoglutarate as a predictor of morbid obesity-associated non-alcoholic fatty liver disease.

Authors:  E Rodríguez-Gallego; M Guirro; M Riera-Borrull; A Hernández-Aguilera; R Mariné-Casadó; S Fernández-Arroyo; R Beltrán-Debón; F Sabench; M Hernández; D del Castillo; J A Menendez; J Camps; R Ras; L Arola; J Joven
Journal:  Int J Obes (Lond)       Date:  2014-03-28       Impact factor: 5.095

Review 5.  Metabolomics and diabetes: analytical and computational approaches.

Authors:  Kelli M Sas; Alla Karnovsky; George Michailidis; Subramaniam Pennathur
Journal:  Diabetes       Date:  2015-03       Impact factor: 9.461

6.  STAT1 potentiates oxidative stress revealing a targetable vulnerability that increases phenformin efficacy in breast cancer.

Authors:  Stephanie P Totten; Young Kyuen Im; Eduardo Cepeda Cañedo; Ouafa Najyb; Alice Nguyen; Steven Hébert; Ryuhjin Ahn; Kyle Lewis; Benjamin Lebeau; Rachel La Selva; Valérie Sabourin; Constanza Martínez; Paul Savage; Hellen Kuasne; Daina Avizonis; Nancy Santos Martínez; Catherine Chabot; Adriana Aguilar-Mahecha; Marie-Line Goulet; Matthew Dankner; Michael Witcher; Kevin Petrecca; Mark Basik; Michael Pollak; Ivan Topisirovic; Rongtuan Lin; Peter M Siegel; Claudia L Kleinman; Morag Park; Julie St-Pierre; Josie Ursini-Siegel
Journal:  Nat Commun       Date:  2021-06-03       Impact factor: 17.694

7.  Oxidative metabolism enables Salmonella evasion of the NLRP3 inflammasome.

Authors:  Meghan A Wynosky-Dolfi; Annelise G Snyder; Naomi H Philip; Patrick J Doonan; Maya C Poffenberger; Daina Avizonis; Erin E Zwack; Amber M Riblett; Baofeng Hu; Till Strowig; Richard A Flavell; Russell G Jones; Bruce D Freedman; Igor E Brodsky
Journal:  J Exp Med       Date:  2014-03-17       Impact factor: 14.307

8.  Metformin directly acts on mitochondria to alter cellular bioenergetics.

Authors:  Sylvia Andrzejewski; Simon-Pierre Gravel; Michael Pollak; Julie St-Pierre
Journal:  Cancer Metab       Date:  2014-08-28

9.  Stable isotope tracer analysis in isolated mitochondria from mammalian systems.

Authors:  Simon-Pierre Gravel; Sylvia Andrzejewski; Daina Avizonis; Julie St-Pierre
Journal:  Metabolites       Date:  2014-04-10

10.  The oncometabolite 2-hydroxyglutarate activates the mTOR signalling pathway.

Authors:  Mélissa Carbonneau; Laurence M Gagné; Marie-Eve Lalonde; Marie-Anne Germain; Alena Motorina; Marie-Christine Guiot; Blandine Secco; Emma E Vincent; Anthony Tumber; Laura Hulea; Jonathan Bergeman; Udo Oppermann; Russell G Jones; Mathieu Laplante; Ivan Topisirovic; Kevin Petrecca; Marc-Étienne Huot; Frédérick A Mallette
Journal:  Nat Commun       Date:  2016-09-14       Impact factor: 17.694

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