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Title of Journal: Metabolomics

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Abbravation: Metabolomics

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Springer US

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DOI

10.1007/bf02245347

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ISSN

1573-3890

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Fusion of the Superscript1/SuperscriptH NMR da

Authors: Adam Ząbek Ivana Stanimirova Stanisław Deja Wojciech Barg Aneta Kowal Anna Korzeniewska Magdalena OrczykPawiłowicz Daniel Baranowski Zofia Gdaniec Renata Jankowska Piotr Młynarz
Publish Date: 2015/05/22
Volume: 11, Issue: 6, Pages: 1563-1574
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Abstract

Chronic obstructive pulmonary disease COPD affects the condition of the entire human organism and causes multiple comorbidities Pathological lung changes lead to quantitative changes in the composition of the metabolites in different body fluids The obstructive sleep apnea syndrome OSAS occurs in conjunction with chronic obstructive pulmonary disease in about 10–20  of individuals who have COPD Both conditions share the same comorbidities and this makes differentiating them difficult The aim of this study was to investigate whether it is possible to diagnose a patient with either COPD or the OSA syndrome using a set of selected metabolites and to determine whether the metabolites that are present in one type of biofluid serum exhaled breath condensate or urine or whether a combination of metabolites that are present in two biofluids or whether a set of metabolites that are present in all three biofluids are necessary to correctly diagnose a patient A quantitative analysis of the metabolites in all three biofluid samples was performed using 1H NMR spectroscopy A multivariate bootstrap approach that combines partial least squares regression with the variable importance in projection score VIPscore and selectivity ratio SR was adopted in order to construct discriminant diagnostic models for the groups of individuals with COPD and OSAS A comparison study of all of the discriminant models that were constructed and validated showed that the discriminant partial least squares model using only ten urine metabolites selected with the SR approach has a specificity of 100  and a sensitivity of 8667  This model AUCtest = 095 presented the best prediction performance The main conclusion of this study is that urine metabolites among the others present the highest probability for correctly identifying patents with COPD and the lowest probability for an incorrect identification of the OSA syndrome as developed COPD Another important conclusion is that the changes in the metabolite levels of exhaled breath condensates do not appear to be specific enough to differentiate between patients with COPD and OSAS


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  2. Precursor-to-product ratios reflect biochemical phenotype in congenital adrenal hyperplasia
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  9. Say hello to Dr Warwick Dunn! Metabolomics’ new Reviews Editor
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