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Integrative Network Analysis Linking Clinical Outcomes With Environmental Exposures and Molecular Variations in Service Personnel Deployed to Balad and Bagram

机译:综合网络分析将临床结果与部署到Balad和Bagram部署的服务人员的分子变化联系起来

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Objective: To develop a computational approach to link clinical outcomes with environmental exposures and molecular variations measured in Department of Defense (DOD) serum-repository samples. Methods: International Classification of Diseases, Ninth Division codes which corresponded to cardiopulmonary symptoms for service personnel were selected to test for associations with deployment-related inhalation hazards and metabolomics, micro-RNA, cytokine, plasma markers, and environmental exposure analyses for corresponding samples. xMWAS and Mummichog were used for integrative network and pathway analysis. Results: Comparison between 41 personnel exhibiting new cardio-pulmonary diagnoses after deployment start-date to 25 personnel exhibiting no symptoms identified biomarkers associated with cardiopulmonary conditions. Integrative network and pathway analysis showed communities of clinical, molecular, and environmental markers associated with fatty acid, lipid, nucleotide, and amino acid metabolism pathways. Conclusions: The current proof of principle study establishes a computational framework for integrative analysis of deployment-related exposures, molecular responses, and health outcomes.
机译:目的:开发一种计算方法,以将临床结果与国防部(DOD)血清储存库中的环境暴露和测量的分子变化联系起来。方法:选择与服务人员有心肺症状相对应的第九分区疾病的疾病分类,以测试与部署相关的吸入危害和代谢组科,微RNA,细胞因子,血浆标志物和环境暴露分析的关联对相应的样本。 XMWAS和Mummichog用于综合网络和途径分析。结果:41人员在部署开始后的新心性肺诊断的比较诊断到25名人员,表现出没有症状的症状与心肺病症相关的生物标志物。综合性网络和途径分析显示与脂肪酸,脂质,核苷酸和氨基酸代谢途径相关的临床,分子和环境标志物的社区。结论:目前的原理研究证明建立了部署相关暴露,分子应答和健康结果的综合分析计算框架。

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