Independent component analysis in non-hypothesis driven metabolomics: Improvement of pattern discovery and simplification of biological data interpretation demonstrated with plasma samples of exercising humans

Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences

Volumn 910, Issue , 2012, Pages 156-162

  Li, Xiang ^a,e   Hansen, Jakob ^b   Zhao, Xinjie ^a   Lu, Xin ^a   Weigert, Cora ^c,d   Häring, Hans Ulrich ^c,d   Pedersen, Bente K ^b   Plomgaard, Peter ^b   Lehmann, Rainer ^c,d   Xu, Guowang ^a  

^a DALIAN INSTITUTE OF CHEMICAL PHYSICS   (China)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c UNIVERSITY HOSPITAL TÜBINGEN   (Germany)

^d UNIVERSITY OF TÜBINGEN   (Germany)

^e Qinhuangdao Entry Exit Inspection and Quarantine Bureau of PRC   (China)

Author keywords

Exercise; GC MS; Independent component analysis; Metabolic profiling; Metabolomics

Indexed keywords

BIOLOGICAL DATA; BIOLOGICAL PROCESS; DATA SETS; DESCRIPTIVE STATISTICS; EXERCISE; EXERCISE CONDITION; FLIGHT MASS SPECTROMETRY; GC-MS; INDEPENDENT COMPONENTS; METABOLIC CHANGES; METABOLIC PATTERNS; METABOLIC PROCESS; METABOLIC PROFILING; METABOLOMICS; MULTI FACTORS; MULTILEVELS; NON-GAUSSIAN DISTRIBUTION; PATTERN DISCOVERY; PLASMA SAMPLES; PRINCIPAL COMPONENTS; PRIORI INFORMATION; SOURCE SIGNALS; TIME DEPENDENT; TIME POINTS;

BIOMOLECULES; DATA PROCESSING; GAS CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLISM; METABOLITES; OPTIMIZATION;

INDEPENDENT COMPONENT ANALYSIS;

FUEL;

ARTICLE; BLOOD SAMPLING; EXERCISE; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MASS FRAGMENTOGRAPHY; METABOLOMICS; PRIORITY JOURNAL; STATISTICS; TIME OF FLIGHT MASS SPECTROMETRY;

BLOOD CHEMICAL ANALYSIS; EXERCISE; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; HUMANS; METABOLOMICS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84870248836     PISSN: 15700232     EISSN: 1873376X     Source Type: Journal    
DOI: 10.1016/j.jchromb.2012.06.030     Document Type: Article

References (33)

1. Eriksson L., Antti H., Gottfries J., Holmes E., Johansson E., Lindgren F., Long I., Lundstedt T., Trygg J., Wold S. Anal. Bioanal. Chem. 2004, 380:419.
2. Defernez M., Kemsley E.K. Trends Anal. Chem. 1997, 16:216.
3. Li X., Lu X., Tian J., Gao P., Kong H.W., Xu G.W. Anal. Chem. 2009, 81:4468.
4. Comon P. Signal Process. 1994, 36:287.
5. Hyvärinen A. IEEE Trans. Neural Networks 1999, 10:626.
6. Murata N., Ikeda S., Ziehe A. Neurocomputing 2001, 41:1.
7. Amari S.I., Hyvarinen A., Lee S.Y., Lee T.W., Sanchez V.D. Neurocomputing 2002, 49:1.
8. Gonzalez-Serrano F.J., Molina-Bulla H.Y., Murillo-Fuentes J.J. IEEE International Conference on Acoustics, Speech, and Signal Processing, Vols. I-Vi, Proceedings, 2001 1997.
9. Nguyen V.T., Patra J.C. Advances in Multimedia Information Processing-Pcm 2004, Pt 3, Proceedings, vol. 3333 2004, 364.
10. Glotsos D., Spyridonos P., Ravazoula P., Cavouras D., Nikiforidis G. Neural Inform. Process. 2004, 3316:1058.
11. Zeng W.M., Qiu A.Q., Chodkowski B., Pekar J.J. Neuroimage 2009, 46:1041.
12. Liebermeister W. Bioinformatics 2002, 18:51.
13. Mantini D., Petrucci F., Del Boccio P., Pieragostino D., Di Nicola M., Lugaresi A., Federici G., Sacchetta P., Di Ilio C., Urbani A. Bioinformatics 2008, 24:63.
14. Ge Z., Song Z. Ind. Eng. Chem. Res. 2007, 46:2054.
15. Gea Z., Song Z. J. Chemometr. 2009, 23:636.
16. Chen Y., Hoehenwarter W., Weckwerth W. Plant J. 2010, 63:1.
17. Overgaard A.J., Hansen H.G., Lajer M., Pedersen L., Tarnow L., Rossing P., McGuire J.N., Pociot F. Proteome Sci. 2010, 8:4.
18. Yonekura-Sakakibara K., Fukushima A., Nakabayashi R., Hanada K., Matsuda F., Sugawara S., Inoue E., Kuromori T., Ito T., Shinozaki K., Wangwattana B., Yamazaki M., Saito K. Plant J. 2012, 69:154.
19. Scholz M., Gatzek S., Sterling A., Fiehn O., Selbig J. Bioinformatics 2004, 20:2447.
20. Trenkamp S., Eckes P., Busch M., Fernie A.R. Metabolomics 2009, 5:277.
21. Martin F.P.J., Rezzi S., Montoliu I., Philippe D., Tornier L., Messlik A., Holzlwimmer G., Baur P., Quintanilla-Fend L., Loh G., Blaut M., Blum S., Kochhar S., Haller D. J. Proteome Res. 2009, 8:2376.
22. Allwood J.W., Erban A., de Koning S., Dunn W.B., Luedemann A., Lommen A., Kay L., Loescher R., Kopka J., Goodacre R. Metabolomics 2009, 5:479.
23. Ebert B., Zoeller D., Erban A., Fehrle I., Hartmann J., Niehl A., Kopka J., Fisahn J. J. Exp. Bot. 2010, 61:1321.
24. Führs H., Specht A., Erban A., Kopka J., Horst W.J. J. Exp. Bot. 2012, 63:329.
25. Hyvärinen A., Karhunen J., Oja E. Independent Component Analysis 2001, John Wiley & Sons, Inc., New York.
26. Hyvärinen A., Oja E. Neural Networks 2000, 13:411.
27. Hansen J., Brandt C., Nielsen A.R., Hojman P., Whitham M., Febbraio M.A., Pedersen B.K., Plomgaard P. Endocrinology 2010.
28. Nielsen N.P.V., Carstensen J.M., Smedsgaard J. J. Chromatogr. A 1998, 805:17.
29. Tomasi Giorgio, Berg F.v.d., Andersson C. J. Chemometr. 2004, 18:231.
30. Morgenthal K., Wienkoop S., Scholz M., Selbig J., Weckwerth W. Metabolomics 2005, 1:109.
31. Holloszy J.O., Kohrt W.M., Hansen P.A. Front. Biosci. 1998, 3:D1011.
32. Jeukendrup A.E. Regulation of fat metabolism in skeletal muscle. Lipids and Insulin Resistance: The Role of Fatty Acid Metabolism and Fuel Partitioning 2002, 217-235. New York Acad Sciences, New York. I. Klimes, E. Sebokova, B.V. Howard, E. Ravussin (Eds.).
33. Kanaley J.A., Mottram C.D., Scanlon P.D., Jensen M.D. J. Appl. Physiol. 1995, 79:439.