Simultaneous analysis of plasma and CSF by NMR and hierarchical models fusion
| Autor: | Paul J. Michiels, Tinka Tuinstra, Joram M. Posma, Sybren S. Wijmenga, Frederic C. Girard, Lutgarde M. C. Buydens, Lionel Blanchet, Theo M. Luider, Agnieszka Smolinska, Amos Attali, Kirsten A.M. Ampt, Marek Doskocz |
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| Přispěvatelé: | Farmacologie en Toxicologie, RS: NUTRIM - R4 - Gene-environment interaction, Erasmus MC other, Neurology |
| Rok vydání: | 2012 |
| Předmět: |
Male
Encephalomyelitis Autoimmune Experimental Magnetic Resonance Spectroscopy Multiple Sclerosis Variable selection Central nervous system Computational biology Models Biological Biochemistry Analytical Chemistry Cerebrospinal fluid Metabolomics Text mining Partial least squares regression Blood plasma medicine Animals Humans GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) Original Paper EAE Chemistry business.industry Multiple sclerosis fungi Data fusion Classification medicine.disease Linear discriminant analysis Characterization and Evaluation of Materials Rats Biochemistry general Laboratory Medicine medicine.anatomical_structure Mitochondrial medicine [IGMD 8] Environmental Monitoring/Analysis Rats Inbred Lew Biophysical Chemistry business Food Science |
| Zdroj: | Analytical and Bioanalytical Chemistry, 403, 4, pp. 947-959 Analytical and Bioanalytical Chemistry, 403, 947-959 Analytical and Bioanalytical Chemistry, 403(4), 947-59. Springer Analytical and Bioanalytical Chemistry, 403(4), 947-959. Springer-Verlag Analytical and Bioanalytical Chemistry |
| ISSN: | 1618-2642 |
| Popis: | Because cerebrospinal fluid (CSF) is the biofluid which interacts most closely with the central nervous system, it holds promise as a reporter of neurological disease, for example multiple sclerosis (MScl). To characterize the metabolomics profile of neuroinflammatory aspects of this disease we studied an animal model of MScl—experimental autoimmune/allergic encephalomyelitis (EAE). Because CSF also exchanges metabolites with blood via the blood–brain barrier, malfunctions occurring in the CNS may be reflected in the biochemical composition of blood plasma. The combination of blood plasma and CSF provides more complete information about the disease. Both biofluids can be studied by use of NMR spectroscopy. It is then necessary to perform combined analysis of the two different datasets. Mid-level data fusion was therefore applied to blood plasma and CSF datasets. First, relevant information was extracted from each biofluid dataset by use of linear support vector machine recursive feature elimination. The selected variables from each dataset were concatenated for joint analysis by partial least squares discriminant analysis (PLS-DA). The combined metabolomics information from plasma and CSF enables more efficient and reliable discrimination of the onset of EAE. Second, we introduced hierarchical models fusion, in which previously developed PLS-DA models are hierarchically combined. We show that this approach enables neuroinflamed rats (even on the day of onset) to be distinguished from either healthy or peripherally inflamed rats. Moreover, progression of EAE can be investigated because the model separates the onset and peak of the disease. Figure Graphical representation of Hierarchical Models Fusion applied to concatenated plasma and CSF datasets. Electronic supplementary material The online version of this article (doi:10.1007/s00216-012-5871-4) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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