Dean P Jones1, Douglas I Walker, Karan Uppal, Patricia Rohrbeck, Col Timothy M Mallon, Young-Mi Go. 1. Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, Emory School of Medicine, Atlanta, Georgia (Dr Jones, Mr Walker, Drs Uppal, Go); Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts (Mr Walker); 779th Aerospace Medicine Squadron, 79th Medical Wing, Joint Base Andrews (Dr Rohrbeck); and Professor, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814 (Dr Mallon).
Abstract
OBJECTIVE: The aim of this study is to use high-resolution metabolomics (HRM) to identify metabolic pathways and networks associated with tobacco use in military personnel. METHODS: Four hundred deidentified samples obtained from the Department of Defense Serum Repository were classified as tobacco users or nonusers according to cotinine content. HRM and bioinformatic methods were used to determine pathways and networks associated with classification. RESULTS: Eighty individuals were classified as tobacco users compared with 320 nonusers on the basis of cotinine levels at least 10 ng/mL. Alterations in lipid and xenobiotic metabolism, and diverse effects on amino acid, sialic acid, and purine and pyrimidine metabolism were observed. Importantly, network analysis showed broad effects on metabolic associations not simply linked to well-defined pathways. CONCLUSIONS: Tobacco use has complex metabolic effects that must be considered in evaluation of deployment-associated environmental exposures in military personnel.
OBJECTIVE: The aim of this study is to use high-resolution metabolomics (HRM) to identify metabolic pathways and networks associated with tobacco use in military personnel. METHODS: Four hundred deidentified samples obtained from the Department of Defense Serum Repository were classified as tobacco users or nonusers according to cotinine content. HRM and bioinformatic methods were used to determine pathways and networks associated with classification. RESULTS: Eighty individuals were classified as tobacco users compared with 320 nonusers on the basis of cotinine levels at least 10 ng/mL. Alterations in lipid and xenobiotic metabolism, and diverse effects on amino acid, sialic acid, and purine and pyrimidine metabolism were observed. Importantly, network analysis showed broad effects on metabolic associations not simply linked to well-defined pathways. CONCLUSIONS:Tobacco use has complex metabolic effects that must be considered in evaluation of deployment-associated environmental exposures in military personnel.
Authors: Elzbieta Speina; Maja Zielińska; Alain Barbin; Daniel Gackowski; Janusz Kowalewski; Maria A Graziewicz; Janusz A Siedlecki; Ryszard Oliński; Barbara Tudek Journal: Cancer Res Date: 2003-08-01 Impact factor: 12.701
Authors: Qi Yan; Zeyan Liew; Karan Uppal; Xin Cui; Chenxiao Ling; Julia E Heck; Ondine S von Ehrenstein; Jun Wu; Douglas I Walker; Dean P Jones; Beate Ritz Journal: Environ Int Date: 2019-06-20 Impact factor: 9.621
Authors: Xin Hu; Ki-Hye Kim; Youri Lee; Jolyn Fernandes; M Ryan Smith; Yu-Jin Jung; Michael Orr; Sang-Moo Kang; Dean P Jones; Young-Mi Go Journal: Am J Pathol Date: 2019-05-18 Impact factor: 4.307
Authors: S Taylor Fischer; Loukia N Lili; Shuzhao Li; ViLinh T Tran; Kim B Stewart; Charles E Schwartz; Dean P Jones; Stephanie L Sherman; Judith L Fridovich-Keil Journal: Environ Int Date: 2017-07-30 Impact factor: 9.621
Authors: Yunfeng Huang; Qin Hui; Douglas I Walker; Karan Uppal; Jack Goldberg; Dean P Jones; Viola Vaccarino; Yan V Sun Journal: Epigenomics Date: 2018-03-12 Impact factor: 4.778
Authors: Young-Mi Go; Matthew R Smith; Douglas I Walker; Karan Uppal; Patricia Rohrbeck; Pamela L Krahl; Philip K Hopke; Mark J Utell; Timothy M Mallon; Dean P Jones Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162
Authors: Atif Khan; Thomas H Thatcher; Collynn F Woeller; Patricia J Sime; Richard P Phipps; Philip K Hopke; Mark J Utell; Pamela L Krahl; Timothy M Mallon; Juilee Thakar Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162
Authors: Thomas H Thatcher; Collynn F Woeller; Juilee Thakar; Atif Khan; Philip K Hopke; Matthew Ryan Smith; Karan Uppal; Douglas I Walker; Young-Mi Go; Dean P Jones; Pamela L Krahl; Timothy M Mallon; Patricia J Sime; Richard P Phipps; Mark J Utell Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162
Authors: Juilee Thakar; Thomas H Thatcher; Matthew Ryan Smith; Collynn F Woeller; Douglas I Walker; Mark J Utell; Philip K Hopke; Timothy M Mallon; Pamela L Krahl; Patricia Rohrbeck; Young-Mi Go; Dean P Jones; Karan Uppal Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162