| Attributes | Values |
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| rdf:type
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| Description
| - S cílem vyhodnotit prediktory oxidace tuků o obézních populace bylo použito metabolomického přístupu a 1H-NMR spolu s LC-MS technologií. Byl ypoužity plazmatické vzorky obézních žen před a po zátěži vysokotukovým pokrmem. Subjekty byli vybráni na základě vysoké nebo nízké schopnosti oxidovat tuk (2 x 50 subjektů). Charakteristiky subjektů a klinická data byla vložena do data-setu, filtrována s použitím orthogonální signálové korekce. Test Mann-Whitney a genetické algorytmy byly aplikovány spoleřně s regresí metodou %22partial least squares%22. Naše data dokumetují, že pouze malé množství variability mezi subjekty ve smyslu metabolomických profilů jsou způsobeny rozdíly ve schopnosti oxidovat tuk. Na základě těchto dat se zdá, že identifikca kandidátních biomarkerů oxidace tuků s použitím metabolomických profilů potřebuje lepší metody sběru dat, např.Noesy NMR nebo GC-MS. (cs)
- With the aim of assessing prediction of fat oxidation capacity in an obese population, a metabolomics study, using 1H-NMR and LC-MS platforms, was performed on plasma samples obtained from obese women before and after a high fat test meal. These subjects were selected based on having a high (n=50) or low (n=50) increase in fat oxidation following the test-meal, representing the extremes of fat oxidizing capacity. An accurate prediction in terms of classification according to fat oxidation group can lead to candidate biomarkers of fat oxidation capacity, especially if they could be identified in the fasting samples, which would make the biomarker practical applicable. Subject characteristics and clinical data were recorded into a phenotypic data set. For the spectral data sets, filtering by orthogonal signal correction, variable reduction by spectra segmentation, Mann-Whitney U tests and genetic algorithms were applied together with partial least squares regression models. Our findings suggested that
- With the aim of assessing prediction of fat oxidation capacity in an obese population, a metabolomics study, using 1H-NMR and LC-MS platforms, was performed on plasma samples obtained from obese women before and after a high fat test meal. These subjects were selected based on having a high (n=50) or low (n=50) increase in fat oxidation following the test-meal, representing the extremes of fat oxidizing capacity. An accurate prediction in terms of classification according to fat oxidation group can lead to candidate biomarkers of fat oxidation capacity, especially if they could be identified in the fasting samples, which would make the biomarker practical applicable. Subject characteristics and clinical data were recorded into a phenotypic data set. For the spectral data sets, filtering by orthogonal signal correction, variable reduction by spectra segmentation, Mann-Whitney U tests and genetic algorithms were applied together with partial least squares regression models. Our findings suggested that (en)
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| Title
| - Prediction of fat oxidation capacity using 1H-NMR and LC-MS lipid metabolomic data combined with phenotypic data
- Prediction of fat oxidation capacity using 1H-NMR and LC-MS lipid metabolomic data combined with phenotypic data (en)
- Predikce oxidační kapacity za pomocí techmologie 1H-NMR and hmotnostní spektrometrie v kombinaci s fenotypem subjektů (cs)
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| skos:prefLabel
| - Prediction of fat oxidation capacity using 1H-NMR and LC-MS lipid metabolomic data combined with phenotypic data
- Prediction of fat oxidation capacity using 1H-NMR and LC-MS lipid metabolomic data combined with phenotypic data (en)
- Predikce oxidační kapacity za pomocí techmologie 1H-NMR and hmotnostní spektrometrie v kombinaci s fenotypem subjektů (cs)
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| skos:notation
| - RIV/00216208:11120/08:00001227!RIV09-MSM-11120___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/00216208:11120/08:00001227
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - Fat oxidation capacity; NUGENOB, phenotyping, Metabolomics; Obesity; Orthogonal signal correction; Partial least squares (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
| - Chemometrics and Intelligent Laboratory Systems
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...UplatneniVysledku
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| http://linked.open...v/svazekPeriodika
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| http://linked.open...iv/tvurceVysledku
| - Polák, Jan
- Astrup, A.
- Blaak, E. E.
- Ramadan, Z.
- Holst, C.
- Martinez, J. A
- Saris, W.H.M.
- Sørensen, T.I.A.
- Johansen, J. V.
- Kochhar, S.
- Macdonald, I. A.
- Martin, F. P.
- Pers, T. H.
- Rezzi, S.
- Verdich, C.
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| http://linked.open...ain/vavai/riv/wos
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| http://linked.open...n/vavai/riv/zamer
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| issn
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| number of pages
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| http://localhost/t...ganizacniJednotka
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| is http://linked.open...avai/riv/vysledek
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