Profiling allergic asthma volatile metabolic patterns using a headspace-solid phase microextraction/gas chromatography based methodology
Profiling allergic asthma volatile metabolic patterns using a headspace-solid phase microextraction/gas chromatography based methodology
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DOI：
10.1016/j.chroma.2011.04.026
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发表时间：
2011-06-17
影响因子：
4.1
通讯作者：
Rocha, S. M.
中科院分区：
文献类型：
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作者：
Caldeira, M.;Barros, A. S.;Rocha, S. M.
过敏性哮喘是一个重要的公共卫生问题，近年来有显著增长，特别是在儿科人群中。呼出气是一种无创、易于执行和快速的方法，用于从下呼吸道获取样本。本文采用顶空固相微萃取-气相色谱-四极杆质谱联用技术（HS-SPME/GC-qMS）对过敏性哮喘患儿和对照儿童的代谢挥发物进行了分析。缺乏研究过敏性哮喘儿童的呼吸HS-SPME导致的实验设计，以优化SPME参数的发展。为了实现这一目标，三个重要的HS-SPME实验参数，影响提取效率，即纤维涂层，温度和时间提取被认为是。促进与较高GC峰面积和化合物数量对应的较高提取效率的所选条件为：DVB/CAR/PDMS涂层纤维，分别为22 ℃和60 min的提取温度和时间。还研究了两种容器（1 L Tedlar（R）袋和BIOVOC（R））用于呼吸收集和个体内变异性的适用性。然后将开发的方法应用于分析过敏性哮喘儿童呼出气（35），其中13名儿童也患有过敏性鼻炎，以及健康对照儿童（15），允许识别44种挥发物，分布在烷烃（线性和衍生）酮，芳烃，醛，酸等化学家族中。采用偏最小二乘判别分析（PLS-DA）进行多变量研究，使用一组28种选定的代谢物，过敏性哮喘和对照儿童之间的区分达到88%的分类率。过敏性哮喘儿科人群的主要特征是与氧化应激相关的化合物，例如烷烃和醛类。此外，结合PLS-DA模型所建议的挥发性代谢数据和临床数据，获得了更详细的信息。(C)2011爱思唯尔有限公司版权所有。
Allergic asthma represents an important public health issue with significant growth over the years, especially in the paediatric population. Exhaled breath is a non-invasive, easily performed and rapid method for obtaining samples from the lower respiratory tract. In the present manuscript, the metabolic volatile profiles of allergic asthma and control children were evaluated by headspace solid-phase microextraction combined with gas chromatography-quadrupole mass spectrometry (HS-SPME/GC-qMS). The lack of studies in breath of allergic asthmatic children by HS-SPME led to the development of an experimental design to optimize SPME parameters. To fulfil this objective, three important HS-SPME experimental parameters that influence the extraction efficiency, namely fibre coating, temperature and time extractions were considered. The selected conditions that promoted higher extraction efficiency corresponding to the higher GC peak areas and number of compounds were: DVB/CAR/PDMS coating fibre, 22 degrees C and 60 min as the extraction temperature and time, respectively. The suitability of two containers, 1 L Tedlar (R) bags and BIOVOC (R), for breath collection and intra-individual variability were also investigated. The developed methodology was then applied to the analysis of children exhaled breath with allergic asthma (35), from which 13 had also allergic rhinitis, and healthy control children (15), allowing to identify 44 volatiles distributed over the chemical families of alkanes (linear and ramified) ketones, aromatic hydrocarbons, aldehydes, acids, among others. Multivariate studies were performed by Partial Least Squares-Discriminant Analysis (PLS-DA) using a set of 28 selected metabolites and discrimination between allergic asthma and control children was attained with a classification rate of 88%. The allergic asthma paediatric population was characterized mainly by the compounds linked to oxidative stress, such as alkanes and aldehydes. Furthermore, more detailed information was achieved combining the volatile metabolic data, suggested by PLS-DA model, and clinical data. (C) 2011 Elsevier B.V. All rights reserved.