Literature DB >> 22470063

Targeted metabolomics.

Lee D Roberts1, Amanda L Souza, Robert E Gerszten, Clary B Clish.   

Abstract

The metabolome is the terminal downstream product of the genome and consists of the total complement of all the low-molecular-weight molecules (metabolites) in a cell, tissue, or organism. Metabolomics aims to measure a wide breadth of small molecules in the context of physiological stimuli or disease states. Metabolomics methodologies fall into two distinct groups: untargeted metabolomics, an intended comprehensive analysis of all the measurable analytes in a sample including chemical unknowns, and targeted metabolomics, the measurement of defined groups of chemically characterized and biochemically annotated metabolites. The methodologies considered in this unit focus on the processes of conducting targeted metabolomics experiments, and the advantages of this general approach are highlighted herein. This unit outlines procedures for extracting nitrogenous metabolites (including amino acids), lipids, and intermediary metabolites (including TCA cycle oxoacids) from blood plasma. Specifically, protocols are described for analyzing these metabolites using targeted metabolomics experiments based on liquid chromatography-mass spectrometry.
© 2012 by John Wiley & Sons, Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22470063      PMCID: PMC3334318          DOI: 10.1002/0471142727.mb3002s98

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  36 in total

1.  A quantitative model of ultraviolet matrix-assisted laser desorption/ionization including analyte ion generation.

Authors:  Richard Knochenmuss
Journal:  Anal Chem       Date:  2003-05-15       Impact factor: 6.986

Review 2.  Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy.

Authors:  Warwick B Dunn; David I Broadhurst; Helen J Atherton; Royston Goodacre; Julian L Griffin
Journal:  Chem Soc Rev       Date:  2010-08-17       Impact factor: 54.564

3.  Metabolic signatures of exercise in human plasma.

Authors:  Gregory D Lewis; Laurie Farrell; Malissa J Wood; Maryann Martinovic; Zoltan Arany; Glenn C Rowe; Amanda Souza; Susan Cheng; Elizabeth L McCabe; Elaine Yang; Xu Shi; Rahul Deo; Frederick P Roth; Aarti Asnani; Eugene P Rhee; David M Systrom; Marc J Semigran; Ramachandran S Vasan; Steven A Carr; Thomas J Wang; Marc S Sabatine; Clary B Clish; Robert E Gerszten
Journal:  Sci Transl Med       Date:  2010-05-26       Impact factor: 17.956

4.  Detection of individual phospholipids in lipid mixtures by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: phosphatidylcholine prevents the detection of further species.

Authors:  M Petkovic; J Schiller; M Müller; S Benard; S Reichl; K Arnold; J Arnhold
Journal:  Anal Biochem       Date:  2001-02-15       Impact factor: 3.365

Review 5.  A review of chromatographic methods for the assessment of phospholipids in biological samples.

Authors:  Brianna L Peterson; Brian S Cummings
Journal:  Biomed Chromatogr       Date:  2006-03       Impact factor: 1.902

6.  A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance.

Authors:  Christopher B Newgard; Jie An; James R Bain; Michael J Muehlbauer; Robert D Stevens; Lillian F Lien; Andrea M Haqq; Svati H Shah; Michelle Arlotto; Cris A Slentz; James Rochon; Dianne Gallup; Olga Ilkayeva; Brett R Wenner; William S Yancy; Howard Eisenson; Gerald Musante; Richard S Surwit; David S Millington; Mark D Butler; Laura P Svetkey
Journal:  Cell Metab       Date:  2009-04       Impact factor: 27.287

7.  Metabolic profiling of rodent biological fluids via 1H NMR spectroscopy using a 1 mm microlitre probe.

Authors:  Julian L Griffin; Andrew W Nicholls; Hector C Keun; Russell J Mortishire-Smith; Jeremy K Nicholson; Till Kuehn
Journal:  Analyst       Date:  2002-05       Impact factor: 4.616

8.  The contrasting roles of PPARδ and PPARγ in regulating the metabolic switch between oxidation and storage of fats in white adipose tissue.

Authors:  Lee D Roberts; Andrew J Murray; David Menassa; Tom Ashmore; Andrew W Nicholls; Julian L Griffin
Journal:  Genome Biol       Date:  2011-08-11       Impact factor: 13.583

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

Authors:  O Fiehn
Journal:  Comp Funct Genomics       Date:  2001

10.  Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.

Authors:  Christian Gieger; Ludwig Geistlinger; Elisabeth Altmaier; Martin Hrabé de Angelis; Florian Kronenberg; Thomas Meitinger; Hans-Werner Mewes; H-Erich Wichmann; Klaus M Weinberger; Jerzy Adamski; Thomas Illig; Karsten Suhre
Journal:  PLoS Genet       Date:  2008-11-28       Impact factor: 5.917

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  116 in total

1.  Perspective: Advancing Understanding of Population Nutrient-Health Relations via Metabolomics and Precision Phenotypes.

Authors:  Stephanie Andraos; Melissa Wake; Richard Saffery; David Burgner; Martin Kussmann; Justin O'Sullivan
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

2.  Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.

Authors:  Xiaoying Gu; Changwei Li; Jiang He; Shengxu Li; Lydia A Bazzano; Jason M Kinchen; Wei Chen; Hua He; Dongfeng Gu; Tanika N Kelly
Journal:  Nutr Metab Cardiovasc Dis       Date:  2020-01-21       Impact factor: 4.222

3.  Pre-analytic Considerations for Mass Spectrometry-Based Untargeted Metabolomics Data.

Authors:  Dominik Reinhold; Harrison Pielke-Lombardo; Sean Jacobson; Debashis Ghosh; Katerina Kechris
Journal:  Methods Mol Biol       Date:  2019

4.  Gangliosides profiling in serum of breast cancer patient: GM3 as a potential diagnostic biomarker.

Authors:  Qinying Li; Mei Sun; Mingsheng Yu; Qianyun Fu; Hao Jiang; Guangli Yu; Guoyun Li
Journal:  Glycoconj J       Date:  2019-07-11       Impact factor: 2.916

5.  β-Aminoisobutyric acid induces browning of white fat and hepatic β-oxidation and is inversely correlated with cardiometabolic risk factors.

Authors:  Lee D Roberts; Pontus Boström; John F O'Sullivan; Robert T Schinzel; Gregory D Lewis; Andre Dejam; Youn-Kyoung Lee; Melinda J Palma; Sondra Calhoun; Anastasia Georgiadi; Ming-Huei Chen; Vasan S Ramachandran; Martin G Larson; Claude Bouchard; Tuomo Rankinen; Amanda L Souza; Clary B Clish; Thomas J Wang; Jennifer L Estall; Alexander A Soukas; Chad A Cowan; Bruce M Spiegelman; Robert E Gerszten
Journal:  Cell Metab       Date:  2014-01-07       Impact factor: 27.287

Review 6.  Nutritional Metabolomics in Cancer Epidemiology: Current Trends, Challenges, and Future Directions.

Authors:  Emma E McGee; Rama Kiblawi; Mary C Playdon; A Heather Eliassen
Journal:  Curr Nutr Rep       Date:  2019-09

7.  A nano ultra-performance liquid chromatography-high resolution mass spectrometry approach for global metabolomic profiling and case study on drug-resistant multiple myeloma.

Authors:  Drew R Jones; Zhiping Wu; Dharminder Chauhan; Kenneth C Anderson; Junmin Peng
Journal:  Anal Chem       Date:  2014-03-20       Impact factor: 6.986

8.  2-Aminoadipic acid is a biomarker for diabetes risk.

Authors:  Thomas J Wang; Debby Ngo; Nikolaos Psychogios; Andre Dejam; Martin G Larson; Ramachandran S Vasan; Anahita Ghorbani; John O'Sullivan; Susan Cheng; Eugene P Rhee; Sumita Sinha; Elizabeth McCabe; Caroline S Fox; Christopher J O'Donnell; Jennifer E Ho; Jose C Florez; Martin Magnusson; Kerry A Pierce; Amanda L Souza; Yi Yu; Christian Carter; Peter E Light; Olle Melander; Clary B Clish; Robert E Gerszten
Journal:  J Clin Invest       Date:  2013-09-16       Impact factor: 14.808

9.  Relationship between postprandial metabolomics and colon motility in children with constipation.

Authors:  L Rodriguez; L D Roberts; J LaRosa; N Heinz; R Gerszten; S Nurko; A M Goldstein
Journal:  Neurogastroenterol Motil       Date:  2013-02-20       Impact factor: 3.598

10.  Perturbational Profiling of Metabolites in Patient Fibroblasts Implicates α-Aminoadipate as a Potential Biomarker for Bipolar Disorder.

Authors:  Joanne H Huang; Shaunna S Berkovitch; Jonathan Iaconelli; Bradley Watmuff; Hyoungjun Park; Shrikanta Chattopadhyay; Donna McPhie; Dost Öngür; Bruce M Cohen; Clary B Clish; Rakesh Karmacharya
Journal:  Mol Neuropsychiatry       Date:  2016-06-24
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