J. Thakar, T. Thatcher, M. Smith, C. Woeller, D. Walker, M. Utell, P. Hopke, Timothy M Mallon, Pamela L Krahl, Patricia Rohrbeck, Y. Go, Dean P. Jones, K. Uppal
{"title":"在Balad和Bagram服役人员中,将临床结果与环境暴露和分子变异联系起来的综合网络分析。","authors":"J. Thakar, T. Thatcher, M. Smith, C. Woeller, D. Walker, M. Utell, P. Hopke, Timothy M Mallon, Pamela L Krahl, Patricia Rohrbeck, Y. Go, Dean P. Jones, K. Uppal","doi":"10.1097/JOM.0000000000001710","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\nTo develop a computational approach to link clinical outcomes with environmental exposures and molecular variations measured in Department of Defense (DOD) serum-repository samples.\n\n\nMETHODS\nInternational 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.\n\n\nRESULTS\nComparison 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.\n\n\nCONCLUSIONS\nThe current proof of principle study establishes a computational framework for integrative analysis of deployment-related exposures, molecular responses, and health outcomes.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Integrative Network Analysis Linking Clinical Outcomes With Environmental Exposures and Molecular Variations in Service Personnel Deployed to Balad and Bagram.\",\"authors\":\"J. Thakar, T. Thatcher, M. Smith, C. Woeller, D. Walker, M. Utell, P. Hopke, Timothy M Mallon, Pamela L Krahl, Patricia Rohrbeck, Y. Go, Dean P. Jones, K. Uppal\",\"doi\":\"10.1097/JOM.0000000000001710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE\\nTo develop a computational approach to link clinical outcomes with environmental exposures and molecular variations measured in Department of Defense (DOD) serum-repository samples.\\n\\n\\nMETHODS\\nInternational 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.\\n\\n\\nRESULTS\\nComparison 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.\\n\\n\\nCONCLUSIONS\\nThe current proof of principle study establishes a computational framework for integrative analysis of deployment-related exposures, molecular responses, and health outcomes.\",\"PeriodicalId\":46545,\"journal\":{\"name\":\"International Journal of Occupational and Environmental Medicine\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Occupational and Environmental Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/JOM.0000000000001710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Occupational and Environmental Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/JOM.0000000000001710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Integrative Network Analysis Linking Clinical Outcomes With Environmental Exposures and Molecular Variations in Service Personnel Deployed to Balad and Bagram.
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.