Detection of Serum microRNAs From Department of Defense Serum Repository: Correlation With Cotinine, Cytokine, and Polycyclic Aromatic Hydrocarbon Levels. Issue 8 (August 2016)

• Record Type: Journal Article
• Authors: Woeller, Collynn F.; Thatcher, Thomas H.; Van Twisk, Daniel; Pollock, Stephen J.; Croasdell, Amanda; Kim, Nina; Hopke, Philip K.; Xia, Xiaoyan; Thakar, Juilee; Mallon, COL Timothy M.; Utell, Mark J.; Phipps, Richard P.
• Is Part Of: Journal of occupational and environmental medicine. Volume 58:Issue 8(2016)supplement 1
• Page Start: S62
• Page End: S71
• Publication Date: 2016-08
• Subjects: Medicine, Industrial -- Periodicals; Environmental health -- Periodicals; Occupational Medicine -- Periodicals; Environmental Medicine -- Periodicals; Environmental health; Medicine, Industrial; Periodicals; Electronic journals; 616.9803
• DOI: 10.1097/JOM.0000000000000742
• Languages: English
• ISSNs: 1076-2752

Abstract

Abstract : Supplemental Digital Content is available in the text Abstract : Objective: The aim of this study was to investigate whether serum samples from the Department of Defense Serum Repository (DoDSR) are of sufficient quality to detect microRNAs (miRNAs), cytokines, immunoglobulin E (IgE), and polycyclic aromatic hydrocarbons (PAHs). Methods: MiRNAs were isolated and quantified by polymerase chain reaction (PCR) array. Cytokines and chemokines related to inflammation were measured using multiplex immunoassays. Cotinine and IgE were detected by enzyme-linked immunoassay (ELISA) and PAHs were detected by Liquid Chromatography/Mass Spectroscopy. Results: We detected miRNAs, cytokines, IgE, and PAHs with high sensitivity. Eleven of 30 samples tested positive for cotinine suggesting tobacco exposure. Significant associations between serum cotinine, cytokine, IgE, PAHs, and miRNA were discovered. Conclusion: We successfully quantified over 200 potential biomarkers of occupational exposure from DoDSR samples. The stored serum samples were not affected by hemolysis and represent a powerful tool for biomarker discovery and analysis in retrospective studies.