Literature DB >> 17035677

Metabolite profiling in blood plasma.

Oliver Fiehn1, Tobias Kind.   

Abstract

Metabolite profiling has been established as a multiparallel strategy for relative quantification of a mixture of compounds or compound classes using chromatography and universal detection technologies (gas chromatography-mass spectrometry [GC-MS], liquid chromatography-MS). Despite its origins dating back to the late 1960s, it was only in the 1980s that its use was acknowledged to diagnose metabolic disorders in men, especially for rapid screening of inborn errors. Even faster electrospray ionization-MS/MS screening methods replaced longish chromatographic methods, and method development had stopped despite its potential use for other, less imminent diseases such as likelihood assessments of type II diabetes mellitus or cardiovascular risk factor evaluation. In addition to its diagnostic use, profiling blood samples can be employed to investigate specific biochemical responses. The broader scope of analysis outweighs the disadvantages by taking compromises in method development and the reduced accuracy for specific metabolites. This chapter exemplifies the strategies in metabolite profiling by GC-MS. It gives experimental details on basic steps like blood plasma withdrawal, storage, protein precipitation, extraction, concentration, derivatization, data acquisition, raw data processing, and result data tranformation. A major difference to profiling plant tissues is that no fractionation step is utilized, enabling the analysis of primary metabolites like sugars and amino acids concomitant with lipids such as sterols and free fatty acids.

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Year:  2007        PMID: 17035677     DOI: 10.1007/978-1-59745-244-1_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  37 in total

1.  Unique plasma metabolomic signatures of individuals with inherited disorders of long-chain fatty acid oxidation.

Authors:  Colin S McCoin; Brian D Piccolo; Trina A Knotts; Dietrich Matern; Jerry Vockley; Melanie B Gillingham; Sean H Adams
Journal:  J Inherit Metab Dis       Date:  2016-02-23       Impact factor: 4.982

2.  Metabolomics Analyses of 14 Classical Neurotransmitters by GC-TOF with LC-MS Illustrates Secretion of 9 Cell-Cell Signaling Molecules from Sympathoadrenal Chromaffin Cells in the Presence of Lithium.

Authors:  Vivian Hook; Tobias Kind; Sonia Podvin; Mine Palazoglu; Carol Tran; Thomas Toneff; Stephanie Samra; Christopher Lietz; Oliver Fiehn
Journal:  ACS Chem Neurosci       Date:  2019-01-23       Impact factor: 4.418

3.  A novel amino acid and metabolomics signature in mice overexpressing muscle uncoupling protein 3.

Authors:  Céline Aguer; Brian D Piccolo; Oliver Fiehn; Sean H Adams; Mary-Ellen Harper
Journal:  FASEB J       Date:  2016-11-10       Impact factor: 5.191

4.  Obese Mice Fed a Diet Supplemented with Enzyme-Treated Wheat Bran Display Marked Shifts in the Liver Metabolome Concurrent with Altered Gut Bacteria.

Authors:  Dorothy A Kieffer; Brian D Piccolo; Maria L Marco; Eun Bae Kim; Michael L Goodson; Michael J Keenan; Tamara N Dunn; Knud Erik Bach Knudsen; Sean H Adams; Roy J Martin
Journal:  J Nutr       Date:  2016-10-19       Impact factor: 4.798

5.  Proteomic and metabolomic profiling of a trait anxiety mouse model implicate affected pathways.

Authors:  Yaoyang Zhang; Michaela D Filiou; Stefan Reckow; Philipp Gormanns; Giuseppina Maccarrone; Melanie S Kessler; Elisabeth Frank; Boris Hambsch; Florian Holsboer; Rainer Landgraf; Christoph W Turck
Journal:  Mol Cell Proteomics       Date:  2011-08-23       Impact factor: 5.911

6.  The serum metabolomics signature of type 2 diabetes is obscured in Alzheimer's disease.

Authors:  Jill K Morris; Brian D Piccolo; Kartik Shankar; John P Thyfault; Sean H Adams
Journal:  Am J Physiol Endocrinol Metab       Date:  2017-12-26       Impact factor: 4.310

7.  A mass spectrometric study for comparative analysis and evaluation of metabolite recovery from plasma by various solvent systems.

Authors:  Anwesha Dutta; Premalatha Shetty; Smitha Bhat; Yeshaswini Ramachandra; Shrinidhi Hegde
Journal:  J Biomol Tech       Date:  2012-12

8.  Metabolomics by Gas Chromatography-Mass Spectrometry: Combined Targeted and Untargeted Profiling.

Authors:  Oliver Fiehn
Journal:  Curr Protoc Mol Biol       Date:  2016-04-01

9.  Diabetes-associated alterations in the cecal microbiome and metabolome are independent of diet or environment in the UC Davis Type 2 Diabetes Mellitus Rat model.

Authors:  Brian D Piccolo; James L Graham; Kimber L Stanhope; Intawat Nookaew; Kelly E Mercer; Sree V Chintapalli; Umesh D Wankhade; Kartik Shankar; Peter J Havel; Sean H Adams
Journal:  Am J Physiol Endocrinol Metab       Date:  2018-07-17       Impact factor: 4.310

10.  Resistant starch alters gut microbiome and metabolomic profiles concurrent with amelioration of chronic kidney disease in rats.

Authors:  Dorothy A Kieffer; Brian D Piccolo; Nosratola D Vaziri; Shuman Liu; Wei L Lau; Mahyar Khazaeli; Sohrab Nazertehrani; Mary E Moore; Maria L Marco; Roy J Martin; Sean H Adams
Journal:  Am J Physiol Renal Physiol       Date:  2016-02-03
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