Abstract
Gas chromatography–mass spectrometry (GC–MS) has been widely used in metabonomics analyses of biofluid samples. Biofluids provide a wealth of information about the metabolism of the whole body and from multiple regions of the body that can be used to study general health status and organ function. Blood serum and blood plasma, for example, can provide a comprehensive picture of the whole body, while urine can be used to monitor the function of the kidneys, and cerebrospinal fluid (CSF) will provide information about the status of the brain and central nervous system (CNS). Different methods have been developed for the extraction of metabolites from biofluids, these ranging from solvent extracts, acids, heat denaturation, and filtration. These methods vary widely in terms of efficiency of protein removal and in the number of metabolites extracted. Consequently, for all biofluid-based metabonomics studies, it is vital to optimize and standardize all steps of sample preparation, including initial extraction of metabolites. In this chapter, recommendations are made of the optimum experimental conditions for biofluid samples for GC–MS, with a particular focus on blood serum and plasma samples.
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References
Allwood JW, Clarke A, Goodacre R et al (2010) Dual metabolomics: a novel approach to understanding plant-pathogen interactions. Phytochemistry 71:590–597
Gidman EA, Stevens CJ, Goodacre R et al (2006) Using metabolic fingerprinting of plants for evaluating nitrogen deposition impacts on the landscape level. Glob Change Biol 12:1460–1465
Hollywood KA, Maatje M, Shadi IT et al (2010) Phenotypic profiling of keloid scars using FT-IR microspectroscopy reveals a unique spectral signature. Arch Dermatol Res 302:705–715
Lloyd AJ, Allwood JW, Winder CL et al (2011) Metabolomic approaches reveal that cell wall modifications play a major role in ethylene-mediated resistance against Botrytis cinerea. Plant J 67:852–868
Wang H, Hollywood K, Jarvis RM et al (2010) Phenotypic characterization of shewanella oneidensis MR-1 under aerobic and anaerobic growth conditions by using fourier transform infrared spectroscopy and high-performance liquid chromatography analyses. Appl Environ Microbiol 76:6266–6276
Ferreiro-Vera C, Priego-Capote F, Calderon-Santiago M et al (2013) Global metabolomic profiling of human serum from obese individuals by liquid chromatography-time-of-flight/mass spectrometry to evaluate the intake of breakfasts prepared with heated edible oils. Food Chem 141:1722–1731
Shrestha B, Vertes A (2014) Relative quantitation in single-cell metabolomics by laser ablation electrospray mass spectrometry. Methods Mol Biol 1083:31–39
Lee D-K, Yoon MH, Kang YP et al (2013) Comparison of primary and secondary metabolites for suitability to discriminate the origins of Schisandra chinensis by GC/MS and LC/MS. Food Chem 141:3931–3937
Wang J, Chen L, Tian X et al (2013) Global metabolomic and network analysis of Escherichia coli responses to exogenous biofuels. J Proteome Res 12:5302–5312
Styczynski MP, Moxley JF, Tong LV et al (2007) Systematic identification of conserved metabolites in GC/MS data for metabolomics and biomarker discovery. Anal Chem 79:966–973
Zimmermann D, Hartmann M, Moyer MP et al (2007) Determination of volatile products of human colon cell line metabolism by GC/MS analysis. Metabolomics 3:13–17
Bouatra S, Aziat F, Mandal R et al (2013) The human urine metabolome. PLoS One 8:e73076
Brunetti C, George RM, Tattini M et al (2013) Metabolomics in plant environmental physiology. J Exp Bot 64:4011–4020
Regal P, Seijas JA, Cepeda A et al (2013) Structure elucidation and HPLC-MS/MS determination of a potential biomarker for estradiol administration in cattle. Anal Bioanal Chem 405:9537–9546
Al-Talla ZA, Akrawi SH, Emwas AHM (2011) Solid state NMR and bioequivalence comparison of the pharmacokinetic parameters of two formulations of clindamycin. Int J Clin Pharm Ther 49:469–476
Al-Talla ZA, Akrawi SH, Tolley LT et al (2011) Bioequivalence assessment of two formulations of ibuprofen. Drug Des Devel Ther 5:427–433
Gika HG, Theodoridis GA, Wingate JE et al (2007) Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: application to human urine. J Proteome Res 6:3291–3303
Semmar N, Jay M, Nouira S (2007) A new approach to graphical and numerical analysis of links between plant chemotaxonomy and secondary metabolism from HPLC data smoothed by a simplex mixture design. Chemoecology 17:139–156
Emwas A-HMS, Reza M, Griffin JL, Merzaban J (2013) NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendations. Metabolomics 9:1048–1072
Cao M, Zhao L, Chen H et al (2012) NMR-based metabolomic analysis of human bladder cancer. Anal Sci 28:451–456
Kokushi E, Uno S, Harada T et al (2012) 1H NMR-based metabolomics approach to assess toxicity of bunker a heavy oil to freshwater carp, Cyprinus carpio. Environ Toxicol 27:404–414
Wang Z, Chen Z, Yang S et al (2012) H-1 NMR-based metabolomic analysis for identifying serum biomarkers to evaluate methotrexate treatment in patients with early rheumatoid arthritis. Exp Ther Med 4:165–171
Lindon JC, Holmes E, Nicholson JK (2007) Metabonomics in pharmaceutical R & D. FEBS J 274:1140–1151
Serkova N, Fuller TF, Klawitter J et al (2005) H-1-NMR-based metabolic signatures of mild and severe ischemia/reperfusion injury in rat kidney transplants. Kidney Int 67:1142–1151
Wishart DS (2008) Quantitative metabolomics using NMR. Trends Anal Chem 27:228–237
Bouhrara M, Ranga C, Fihri A et al (2013) Nitridated fibrous silica (KCC-1) as a sustainable solid base nanocatalyst. ACS Sustain Chem Eng 1:1192–1199
Bahuleyan BK, De SK, Sarath PU et al (2012) Effect of aluminium nitride on the properties of polyethylene obtained by in situ polymerization using Ni(II) diimine complex. Macromol Res 20:772–775
Emwas A-HM, Al-Talla ZA, Guo X et al (2013) Utilizing NMR and EPR spectroscopy to probe the role of copper in prion diseases. Magn Reson Chem 51:255–268
Jackson MD, Moon J, Gotti E et al (2013) Material and elastic properties of Al-tobermorite in ancient roman seawater concrete. J Am Ceram Soc 96:2598–2606
Oommen JM, Hussain MM, Emwas A-HM et al (2010) Nuclear magnetic resonance study of nanoscale ionic materials. Electrochem Solid St Lett 13:K87–K88
Patil U, Fihri A, Emwas A-H et al (2012) Silicon oxynitrides of KCC-1, SBA-15 and MCM-41 for CO2 capture with excellent stability and regenerability. Chem Sci 3:2224–2229
Shidong C, Maltsev S, Emwas AH et al (2010) Solid-state NMR paramagnetic relaxation enhancement immersion depth studies in phospholipid bilayers. J Magn Reson 207:89–94
Abuhijleh AL, Abu Ali H, Emwas A-H (2009) Synthesis, spectral and structural characterization of dinuclear rhodium (II) complexes of the anticonvulsant drug valproate with theophylline and caffeine. J Organomet Chem 694:3590–3596
Sahloul N, Emwas A, Power W et al (2005) Ethyl acrylate-hydroxyethyl acrylate and hydroxyethyl acrylate-methacrylic acid: reactivity ratio estimation from cross-linked polymer using high resolution magic angle spinning spectroscopy. J Macromol Sci Pure Appl Chem A42:1369–1385
Nageeb A, Al-Tawashi A, Mohammad Emwas A-H et al (2013) Comparison of Artemisia annua bioactivities between traditional medicine and chemical extracts. Curr Bioact Compd 9:324–332
Jackson MD, Chae SR, Mulcahy SR et al (2013) Unlocking the secrets of Al-tobermorite in Roman seawater concrete. Am Mineral 98:1669–1687
Mroue KH, Emwas A-HM, Power WP (2010) Solid-state Al-27 nuclear magnetic resonance investigation of three aluminum-centered dyes. Can J Chem 88:111–123
Khan MT, Busch M, Molina VG et al (2014) How different is the composition of the fouling layer of wastewater reuse and seawater desalination RO membranes? Water Res 59:271–282
Bharti SK, Behari A, Kapoor VK et al (2013) Magic angle spinning NMR spectroscopic metabolic profiling of gall bladder tissues for differentiating malignant from benign disease. Metabolomics 9:101–118
Jimenez B, Mirnezami R, Kinross J et al (2013) H-1 HR-MAS NMR spectroscopy of tumor-induced local metabolic “Field-Effects” enables colorectal cancer staging and prognostication. J Proteome Res 12:959–968
Kim S, Lee S, Maeng YH et al (2013) Study of metabolic profiling changes in colorectal cancer tissues using 1D H-1 HR-MAS NMR spectroscopy. Bull Kor Chem Soc 34:1467–1472
Kumar V, Dwivedi DK, Jagannathan NR (2014) High-resolution NMR spectroscopy of human body fluids and tissues in relation to prostate cancer. NMR Biomed 27:80–89
Tripathi P, Somashekar BS, Ponnusamy M et al (2013) HR-MAS NMR tissue metabolomic signatures cross-validated by mass spectrometry distinguish bladder cancer from benign disease. J Proteome Res 12:3519–3528
Kamal MS, Bahuleyan BK, Sohail OB et al (2013) Crystallization analysis fractionation of poly(ethylene-co-styrene) produced by metallocene catalysts. Polymer Bull 70:2645–2656
Kirchheim AP, Dal Molin DC, Fischer P et al (2011) Real-time high-resolution X-ray imaging and nuclear magnetic resonance study of the hydration of pure and Na-doped C3A in the presence of sulfates. Inorg Chem 50:1203–1212
Atiqullah M, Winston MS, Bercaw JE et al (2012) Effects of a vanadium post-metallocene catalyst-induced polymer backbone inhomogeneity on UV oxidative degradation of the resulting polyethylene film. Polym Degrad Stab 97:1164–1177
Das SK, Xu S, Emwas A-H et al (2012) High energy lithium-oxygen batteries—transport barriers and thermodynamics. Energ Environ Sci 5:8927–8931
Blindauer CA, Emwas AH, Holy A et al (1997) Complex formation of the antiviral 9–2-(phosphonomethoxy)ethyl adenine (PMEA) and of its N1, N3, and N7 deaza derivatives with copper(II) in aqueous solution. Chem Eur J 3:1526–1536
Sze KH, Wu Q, Tse HS et al (2012) Dynamic nuclear polarization: new methodology and applications. In: Zhu G (ed) Nmr of proteins and small biomolecules. Topics in current chemistry, vol 326., pp 215–242
Tuerke M-T, Tkach I, Reese M et al (2010) Optimization of dynamic nuclear polarization experiments in aqueous solution at 15 MHz/9.7 GHz: a comparative study with DNP at 140 MHz/94 GHz. Phys Chem Chem Phys 12:5893–5901
Ludwig C, Marin-Montesinos I, Saunders MG et al (2010) Application of ex situ dynamic nuclear polarization in studying small molecules. Phys Chem Chem Phys 12:5868–5871
Emwas AH, Saunders M, Ludwig C et al (2008) Determinants for optimal enhancement in ex situ DNP experiments. Appl Magn Reson 34:483–494
Raji M, Ma A, Emwas A-H (2013) Dehydrodimerization of pterostilbene during electrospray ionization mass spectrometry. Rapid Commun Mass Spectrom 27:1260–1266
Lee SJ, Choi JY, Park S et al (2010) Determination of phospholipids in soybean (Glycine max (L.) Merr) cultivars by liquid chromatography-tandem mass spectrometry. J Food Compos Anal 23:314–318
Kumar MS, Pandita NS, Pal AK (2012) LC-MS/MS as a tool for identification of bioactive compounds in marine sponge Spongosorites halichondriodes. Toxicon 60:1135–1147
Jin Y, Xiao Y-s, Zhang F-f et al (2008) Systematic screening and characterization of flavonoid glycosides in Carthamus tinctorius L. by liquid chromatography/UV diode-array detection/electrospray ionization tandem mass spectrometry. J Pharm Biomed Anal 46:418–430
Cao X-w, Shen W-j, Zhu J et al (2013) A comparative study of the ionization modes in GC-MS multi-residue method for the determination of organochlorine pesticides and polychlorinated biphenyls in crayfish. Food Anal Meth 6:445–456
Nakamizo S, Sasayama T, Shinohara M et al (2013) GC/MS-based metabolomic analysis of cerebrospinal fluid (CSF) from glioma patients. J Neurooncol 113:65–74
Hu X, Li H, Tang P et al (2013) GC-MS-based metabolomics study of the responses to arachidonic acid in Blakeslea trispora. Fungal Genet Biol 57:33–41
Emond P, Mavel S, Aidoud N et al (2013) GC-MS-based urine metabolic profiling of autism spectrum disorders. Anal Bioanal Chem 405:5291–5300
Tsugawa H, Bamba T, Shinohara M et al (2011) Practical non-targeted gas chromatography/mass spectrometry-based metabolomics platform for metabolic phenotype analysis. J Biosci Bioeng 112:292–298
Ooi M, Nishiumi S, Yoshie T et al (2011) GC/MS-based profiling of amino acids and TCA cycle-related molecules in ulcerative colitis. Inflamm Res 60:831–840
Gao X, Zhao A, Zhou M et al (2011) GC/MS-based urinary metabolomics reveals systematic differences in metabolism and ethanol response between Sprague–Dawley and Wistar rats. Metabolomics 7:363–374
Cevallos-Cevallos JM, Garcia-Torres R, Etxeberria E et al (2011) GC-MS analysis of headspace and liquid extracts for metabolomic differentiation of citrus huanglongbing and zinc deficiency in leaves of ‘Valencia’ sweet orange from commercial groves. Phytochem Anal 22:236–246
Zhang Q, Wang G-J, A J-Y (2009) Application of GC/MS-based metabonomic profiling in studying the lipid-regulating effects of Ginkgo biloba extract on diet-induced hyperlipidemia in rats. Acta Pharmacol Sin 30:1674–1687
Kuhara T, Ohse M, Inoue Y et al (2009) Urinary metabolic profile of phenylketonuria in patients receiving total parenteral nutrition and medication. Rapid Commun Mass Spectrom 23:3167–3172
Cheng J, Che N, Li H et al (2013) Gas chromatography time-of-flight mass spectrometry-based metabolomic analysis of human macrophages infected by M-tuberculosis. Anal Lett 46:1922–1936
Kobayashi T, Nishiumi S, Ikeda A et al (2013) A novel serum metabolomics-based diagnostic approach to pancreatic cancer. Cancer Epidemiol Biomarkers Prev 22:571–579
Phua LC, Koh PK, Cheah PY et al (2013) Global gas chromatography/time-of-flight mass spectrometry (GC/TOFMS)-based metabonomic profiling of lyophilized human feces. J Chromatogr B Analyt Technol Biomed Life Sci 937:103–113
MacIntyre DA, Jimenez B, Jantus Lewintre E et al (2010) Serum metabolome analysis by H-1-NMR reveals differences between chronic lymphocytic leukaemia molecular subgroups. Leukemia 24:788–797
Wen H, Yoo SS, Kang J et al (2010) A new NMR-based metabolomics approach for the diagnosis of biliary tract cancer. J Hepatol 52:228–233
Huang S-M, Zuo X, Li JJE et al (2012) Metabolomics studies show dose-dependent toxicity induced by SiO2 nanoparticles in MRC-5 human fetal lung fibroblasts. Adv Healthc Mat 1:779–784
Viant MR (2009) Applications of metabolomics to the environmental sciences. Metabolomics 5:1–2
Fang Z-Z, Krausz KW, Tanaka N et al (2013) Metabolomics reveals trichloroacetate as a major contributor to trichloroethylene-induced metabolic alterations in mouse urine and serum. Arch Toxicol 87:1975–1987
Teng Q, Ekman DR, Huang W et al (2013) Impacts of 17 alpha-ethynylestradiol exposure on metabolite profiles of zebrafish (Danio rerio) liver cells. Aquat Toxicol 130:184–191
Wu H, Liu X, Zhang X et al (2013) Proteomic and metabolomic responses of clam Ruditapes philippinarum to arsenic exposure under different salinities. Aquat Toxicol 136:91–100
Eiden-Plach A, Huy-Hoang N, Schneider U et al (2012) Alu Sx repeat-induced homozygous deletion of the StAR gene causes lipoid congenital adrenal hyperplasia. J Steroid Biochem Mol Biol 130:1–6
Shiomi Y, Nishiumi S, Ooi M et al (2011) GCMS-based metabolomic study in mice with colitis induced by dextran sulfate sodium. Inflamm Bowel Dis 17:2261–2274
van der Kloet FM, Tempels FWA, Ismail N et al (2012) Discovery of early-stage biomarkers for diabetic kidney disease using ms-based metabolomics (FinnDiane study). Metabolomics 8:109–119
Gavaghan CL, Li JV, Hadfield ST et al (2011) Application of NMR-based metabolomics to the investigation of salt stress in maize (Zea mays). Phytochem Anal 22:214–224
Laiakis EC, Hyduke DR, Fornace AJ Jr (2012) Comparison of mouse urinary metabolic profiles after exposure to the inflammatory stressors gamma radiation and lipopolysaccharide. Radiat Res 177:187–199
Liu X, Zhang L, You L et al (2011) Toxicological responses to acute mercury exposure for three species of Manila clam Ruditapes philippinarum by NMR-based metabolomics. Environ Toxicol Pharmacol 31:323–332
Daykin CA, Foxall PJD, Connor SC et al (2002) The comparison of plasma deproteinization methods for the detection of low-molecular-weight metabolites by (1)H nuclear magnetic resonance spectroscopy. Anal Biochem 304:220–230
de Graaf RA, Behar KL (2003) Quantitative H-1 NMR spectroscopy of blood plasma metabolites. Anal Chem 75:2100–2104
Polson C, Sarkar P, Incledon B et al (2003) Optimization of protein precipitation based upon effectiveness of protein removal and ionization effect in liquid chromatography-tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 785:263–275
Zellner M, Winkler W, Hayden H et al (2005) Quantitative validation of different protein precipitation methods in proteome analysis of blood platelets. Electrophoresis 26:2481–2489
Tiziani S, Emwas AH, Lodi A et al (2008) Optimized metabolite extraction from blood serum for H-1 nuclear magnetic resonance spectroscopy. Anal Biochem 377:16–23
A J, Trygg J, Gullberg J et al (2005) Extraction and GC/MS analysis of the human blood plasma metabolome. Anal Chem 77:8086–8094
Huang J-H, Xie H-L, Yan J et al (2013) Interpretation of type 2 diabetes mellitus relevant GC-MS metabolomics fingerprints by using random forests. Anal Meth 5:4883–4889
Aliferis KA, Jabaji S (2012) FT-ICR/MS and GC-EI/MS metabolomics networking unravels global potato sprout’s responses to rhizoctonia solani infection. PLoS One 7:1–13
Fancy S-A, Rumpel K (2008) GC-MS-based metabolomics. In: Wang F (ed) Methods in pharmacology and toxicology. Springer, New York, pp 317–340
Ku KM, Choi JN, Kim J et al (2010) Metabolomics analysis reveals the compositional differences of shade grown tea (Camellia sinensis L.). J Agric Food Chem 58:418–426
Arbona V, Iglesias DJ, Talon M et al (2009) Plant phenotype demarcation using nontargeted LC-MS and GC-MS metabolite profiling. J Agric Food Chem 57:7338–7347
Dettmer K, Aronov PA, Hammock BD (2007) Mass spectrometry-based metabolomics. Mass Spectrom Rev 26:51–78
Halket JM, Waterman D, Przyborowska AM et al (2005) Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. J Exp Bot 56:219–243
Little JL (1999) Artifacts in trimethylsilyl derivatization reactions and ways to avoid them. J Chromatogr A 844:1–22
Birkemeyer C, Kolasa A, Kopka J (2003) Comprehensive chemical derivatization for gas chromatography–mass spectrometry-based multi-targeted profiling of the major phytohormones. J Chromatogr A 993:89–102
Fiehn O, Kopka J, Trethewey RN et al (2000) Identification of uncommon plant metabolites based on calculation of elemental compositions using gas chromatography and quadrupole mass spectrometry. Anal Chem 72:3573–3580
Roessner-Tunali U, Liu JL, Leisse A et al (2004) Kinetics of labelling of organic and amino acids in potato tubers by gas chromatography–mass spectrometry following incubation in C-13 labelled isotopes. Plant J 39:668–679
Colebatch G, Desbrosses G, Ott T et al (2004) Global changes in transcription orchestrate metabolic differentiation during symbiotic nitrogen fixation in Lotus japonicus. Plant J 39:487–512
Jonsson P, Gullberg J, Nordstrom A et al (2004) A strategy for identifying differences in large series of metabolomic samples analyzed by GC/MS. Anal Chem 76:1738–1745
Barding GA, Beni S, Fukao T et al (2013) Comparison of GC-MS and NMR for metabolite profiling of rice subjected to submergence stress. J Proteome Res 12:898–909
Kim J, Choi JN, John KMM et al (2012) GC-TOF-MS- and CE-TOF-MS-based metabolic profiling of cheonggukjang (fast-fermented bean paste) during fermentation and its correlation with metabolic pathways. J Agric Food Chem 60:9746–9753
Marcinowska R, Trygg J, Wolf-Watz H et al (2011) Optimization of a sample preparation method for the metabolomic analysis of clinically relevant bacteria. J Microbiol Methods 87:24–31
Rosenling T, Stoop MP, Smolinska A et al (2011) The impact of delayed storage on the measured proteome and metabolome of human cerebrospinal fluid. Clin Chem 57:1703–1711
Jiang W, Qiu Y, Ni Y et al (2010) An automated data analysis pipeline for GC-TOF-MS metabonomics studies. J Proteome Res 9:5974–5981
Lu H, Gan D, Zhang Z et al (2011) Sample classification of GC-ToF-MS metabolomics data without the requirement for chromatographic deconvolution. Metabolomics 7:191–205
Chorell E, Moritz T, Branth S et al (2009) Predictive metabolomics evaluation of nutrition-modulated metabolic stress responses in human blood serum during the early recovery phase of strenuous physical exercise. J Proteome Res 8:2966–2977
Dunn WB, Broadhurst D, Ellis DI et al (2008) A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols. Int J Epidemiol 37:23–30
Hummel J, Selbig J, Walther D et al (2007) The golm metabolome database: a database for GC-MS based metabolite profiling. In: Nielsen J, Jewett MC (eds) Topics in Current Genetics, vol 18., pp 75–95
Lu H, Dunn WB, Shen H et al (2008) Comparative evaluation of software for deconvolution of metabolomics data based on GC-TOF-MS. Trends Anal Chem 27:215–227
Schauer N, Steinhauser D, Strelkov S et al (2005) GC-MS libraries for the rapid identification of metabolites in complex biological samples. FEBS Lett 579:1332–1337
Yu Z, Kastenmueller G, He Y et al (2011) Differences between human plasma and serum metabolite profiles. PLoS One 6:1–6
Acknowledgments
We would like to thank King Abdullah University of Science and Technology for financial support and Dr. Virginia Unkefer from KAUST and Dr. Christina Morris for their assistance and helpful editorial remarks.
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Emwas, AH.M., Al-Talla, Z.A., Yang, Y., Kharbatia, N.M. (2015). Gas Chromatography–Mass Spectrometry of Biofluids and Extracts. In: Bjerrum, J. (eds) Metabonomics. Methods in Molecular Biology, vol 1277. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2377-9_8
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