代谢组学
呼出气冷凝液
发病机制
呼吸道
疾病
计算生物学
呼出的空气
呼吸系统
表型
医学
生物信息学
内科学
生物
病理
免疫学
遗传学
毒理
哮喘
基因
作者
Mauro Maniscalco,Salvatore Fuschillo,Debora Paris,Adele Cutignano,Alessandro Sanduzzi,Andréa Motta
标识
DOI:10.1016/bs.acc.2018.10.002
摘要
Chronic respiratory diseases (CRDs) are complex multifactorial disorders involving the airways and other lung structures. The development of reliable markers for an early and accurate diagnosis, including disease phenotype, and prediction of the response and/or adherence to treatment prescribed are essential points for the correct management of CRDs. Beside the traditional techniques to detect biomarkers, omics sciences have stimulated interest in clinical field as they could potentially improve the study of disease phenotype. Perturbations in a variety of metabolic and signaling pathways could contribute an understanding of CRDs pathogenesis. In particular, metabolomics provides powerful tools to map biological perturbations and their relationship with disease pathogenesis. The exhaled breath condensate (EBC) is a natural matrix of the respiratory tract, and is well suited for metabolomics studies. In this article, we review the current state of metabolomics methodology applied to EBC in the study of CRDs.
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