Investigation of gender-specific exhaled breath volatome in humans by GCxGC-TOF-MS
| Autor: | Ranjan Kumar Nanda, Deepti Dabral, Mrinal Kumar Das, Vinod Kumar Badireddy, Aleena Das, Subasa Chandra Bishwal, Ankur Varshney |
|---|---|
| Přispěvatelé: | Molecular Immunology |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Urine Gas Chromatography-Mass Spectrometry Analytical Chemistry Sex Factors Metabolome Humans Least-Squares Analysis Analysis of Variance Volatile Organic Compounds Chromatography Training set Receiver operating characteristic Chemistry Healthy population Discriminant Analysis Middle Aged Healthy Volunteers Breath Tests ROC Curve Exhalation Comprehensive two-dimensional gas chromatography Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Metabolic phenotype Female Time-of-flight mass spectrometry Biomarkers |
| Zdroj: | Analytical Chemistry. AMER CHEMICAL SOC INC |
| ISSN: | 0003-2700 |
| Popis: | Exploring gender-specific metabolic differences in biofluids provides a basic understanding of the physiological and metabolic phenotype of healthy subjects. Many reports have shown gender-specific metabolome profiles in the urine and serum of healthy subjects; however, limited studies focusing on exhaled human breath are available in the literature. In this study, we profiled the exhaled breath (~450 mL) volatile organic compounds (VOCs) of 47 healthy volunteers (age: 19-47; 23 male (M) and 24 female (F)) using a multidimensional gas chromatography and mass spectrometry and employed chemometric analysis to identify gender-specific VOCs. Eleven exhaled breath VOCs were identified from both uni and multivariate analysis from a training set (M = 15, F = 15) that could differentiate the genders within a healthy population. A partial least-squares discriminate analysis (PLS-DA) model built using these putative markers showed high accuracy in predicting (area under the receiver operating characteristic curve0.9) a hold out/test sample set (n = 17). The outcomes of this report open up new avenues to undertake larger studies to elucidate the association of exhaled breath metabolites with gender-specific disease phenotypes and pharmacokinetics in the future. |
| Databáze: | OpenAIRE |
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