An Integrative Transcriptomic and Metabolomic Study of Lung Function in Children With Asthma
An Integrative Transcriptomic and Metabolomic Study of Lung Function in Children With Asthma
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DOI：
10.1016/j.chest.2018.05.038
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发表时间：
2018-08-01
期刊：
影响因子：
9.6
通讯作者：
Lasky-Su, Jessica A.
中科院分区：
文献类型：
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作者：
Kelly, Rachel S.;Chawes, Bo L.;Lasky-Su, Jessica A.
背景技术背景：单组学分析提供了一些深入了解哮喘儿童肺功能的基础上，但基本的生物学途径仍然知之甚少。方法：加权基因共表达网络分析（WGCNA）被用来确定模块的共调节基因转录和代谢产物在血液中的325名儿童哮喘的遗传流行病学在哥斯达黎加研究。探索了与肺功能相关的模块的生物学，肺功能通过FEV 1、FEV 1/FVC比值、支气管扩张剂反应和气道对乙酰甲胆碱的反应来测量。结果：WGCNA将25，060个基因探针和8，185个代谢产物特征聚类为8个基因模块和8个代谢产物模块，其中分别有4个和6个与肺功能相关（P
BACKGROUND: Single omic analyses have provided some insight into the basis of lung function in children with asthma, but the underlying biologic pathways are still poorly understood.METHODS: Weighted gene coexpression network analysis (WGCNA) was used to identify modules of coregulated gene transcripts and metabolites in blood among 325 children with asthma from the Genetic Epidemiology of Asthma in Costa Rica study. The biology of modules associated with lung function as measured by FEV1, the FEV1/FVC ratio, bronchodilator response, and airway responsiveness to methacholine was explored. Significantly correlated gene-metabolite module pairs were then identified, and their constituent features were analyzed for biologic pathway enrichments.RESULTS: WGCNA clustered 25,060 gene probes and 8,185 metabolite features into eight gene modules and eight metabolite modules, where four and six, respectively, were associated with lung function (P