NMR metabolomic analysis of exhaled breath condensate of asthmatic patients at two different temperatures
| Autor: | Andrea Motta 1, Debora Paris 1, Maria D'Amato 2, Dominique Melck 1, Cecilia Calabrese 3, Carolina Vitale 2, Anna A. Stanziola 2, Gaetano Corso 4, Matteo Sofia 2, Mauro Maniscalco 2, 5 |
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| Přispěvatelé: | Motta, A., Paris, D., D'Amato, M., Melck, D., Calabrese, C., Vitale, C., Stanziola, A. A., Corso, G., Sofia, M., Maniscalco, M., Motta, A, Paris, D, D'Amato, M, Melck, D, Calabrese, C, Vitale, C, Stanziola, Aa, Corso, Giancarlo, Sofia, M, Maniscalco, M |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
exhaled breath condensate
Adult Male Breath Test Magnetic Resonance Spectroscopy Metabolite Analytical chemistry Reproducibility of Result Metabolomic principal component analysi Biochemistry chemistry.chemical_compound Metabolomics asthma metabolomics nuclear magnetic resonance principal component analysis Metabolome Asthmatic patient Humans Exhaled breath condensate Least-Squares Analysis Least-Squares Analysi Chromatography Chemistry Medicine (all) Chemistry (all) Healthy subjects Temperature Exhalation Discriminant Analysis Reproducibility of Results General Chemistry Nuclear magnetic resonance spectroscopy Breath Tests Female Discriminant Analysi Human |
| Zdroj: | Journal of proteome research 13 (2014): 6107–6120. doi:10.1021/pr5010407 info:cnr-pdr/source/autori:Andrea Motta 1, Debora Paris 1, Maria D'Amato 2, Dominique Melck 1, Cecilia Calabrese 3, Carolina Vitale 2, Anna A. Stanziola 2, Gaetano Corso 4, Matteo Sofia 2, and Mauro Maniscalco 2,5/titolo:NMR metabolomic analysis of exhaled breath condensate of asthmatic patients at two different temperatures/doi:10.1021%2Fpr5010407/rivista:Journal of proteome research (Print)/anno:2014/pagina_da:6107/pagina_a:6120/intervallo_pagine:6107–6120/volume:13 |
| DOI: | 10.1021/pr5010407 |
| Popis: | Exhaled breath condensate (EBC) collection is a noninvasive method to investigate lung diseases. EBC is usually collected with commercial/custom-made condensers, but the optimal condensing temperature is often unknown. As such, the physical and chemical properties of exhaled metabolites should be considered when setting the temperature, therefore requiring validation and standardization of the collecting procedure. EBC is frequently used in nuclear magnetic resonance (NMR)-based metabolomics, which unambiguously recognizes different pulmonary pathological states. Here we applied NMR-based metabolomics to asthmatic and healthy EBC samples collected with two commercial condensers operating at -27.3 and -4.8 °C. Thirty-five mild asthmatic patients and 35 healthy subjects were included in the study, while blind validation was obtained from 20 asthmatic and 20 healthy different subjects not included in the primary analysis. We initially analyzed the samples separately and assessed the within-day, between-day, and technical repeatabilities. Next, samples were interchanged, and, finally, all samples were analyzed together, disregarding the condensing temperature. Partial least-squares discriminant analysis of NMR spectra correctly classified samples, without any influence from the temperature. Input variables were either integral bucket areas (spectral bucketing) or metabolite concentrations (targeted profiling). We always obtained strong regression models (95%), with high average-quality parameters for spectral profiling (R(2) = 0.84 and Q(2) = 0.78) and targeted profiling (R(2) = 0.91 and Q(2) = 0.87). In particular, although targeted profiling clustering is better than spectral profiling, all models reproduced the relative metabolite variations responsible for class differentiation. This warrants that cross comparisons are reliable and that NMR-based metabolomics could attenuate some specific problems linked to standardization of EBC collection. |
| Databáze: | OpenAIRE |
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