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Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation.
Bijlsma, Sabina; Bobeldijk, Ivana; Verheij, Elwin R; Ramaker, Raymond; Kochhar, Sunil; Macdonald, Ian A; van Ommen, Ben; Smilde, Age K.
Afiliación
  • Bijlsma S; Business Unit Analytical Sciences and Business Unit Physiological Sciences, TNO Quality of Life, P.O. Box 360, 3700 AJ Zeist, The Netherlands. bijlsma@voeding.tno.nl
Anal Chem ; 78(2): 567-74, 2006 Jan 15.
Article en En | MEDLINE | ID: mdl-16408941
A large metabolomics study was performed on 600 plasma samples taken at four time points before and after a single intake of a high fat test meal by obese and lean subjects. All samples were analyzed by a liquid chromatography-mass spectrometry (LC-MS) lipidomic method for metabolic profiling. A pragmatic approach combining several well-established statistical methods was developed for processing this large data set in order to detect small differences in metabolic profiles in combination with a large biological variation. Such metabolomics studies require a careful analytical and statistical protocol. The strategy included data preprocessing, data analysis, and validation of statistical models. After several data preprocessing steps, partial least-squares discriminant analysis (PLS-DA) was used for finding biomarkers. To validate the found biomarkers statistically, the PLS-DA models were validated by means of a permutation test, biomarker models, and noninformative models. Univariate plots of potential biomarkers were used to obtain insight in up- or downregulation. The strategy proposed proved to be applicable for dealing with large-scale human metabolomics studies.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Grasas de la Dieta / Análisis de los Mínimos Cuadrados / Interpretación Estadística de Datos / Lípidos / Obesidad Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Anal Chem Año: 2006 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Grasas de la Dieta / Análisis de los Mínimos Cuadrados / Interpretación Estadística de Datos / Lípidos / Obesidad Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Anal Chem Año: 2006 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos