Jones Dean P, Walker Douglas I, Uppal Karan, Rohrbeck Patricia, Mallon Col Timothy M, Go Young-Mi
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).
J Occup Environ Med. 2016 Aug;58(8 Suppl 1):S111-6. doi: 10.1097/JOM.0000000000000763.
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.
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.
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.
Tobacco use has complex metabolic effects that must be considered in evaluation of deployment-associated environmental exposures in military personnel.
本研究旨在利用高分辨率代谢组学(HRM)确定与军事人员烟草使用相关的代谢途径和网络。
从国防部血清库获取的400份身份不明的样本,根据可替宁含量分为烟草使用者或非使用者。采用HRM和生物信息学方法确定与分类相关的途径和网络。
根据可替宁水平至少为10 ng/mL,80人被分类为烟草使用者,320人被分类为非使用者。观察到脂质和外源性物质代谢的改变,以及对氨基酸、唾液酸、嘌呤和嘧啶代谢的多种影响。重要的是,网络分析表明对代谢关联有广泛影响,而不仅仅与明确的途径相关。
烟草使用具有复杂的代谢效应,在评估军事人员与部署相关的环境暴露时必须予以考虑。