Basic Information
Abstract Number: 910-4    
Author Name: Joachim D Pleil Affiliation: US Environmental Protection Agency
Session Title: Breath Analysis as a Non-invasive Alternative for Medical Diagnostics
Event Type: Symposia
Event Title: Breath Biomarkers in Environmental Health Science: Decoding the Human Exposome
Presider(s): Pawliszyn, Janusz Start Time: 09:50 AM ( Slot # 5 )
Date: Tuesday, March 13th, 2012 Location: 207B
Keywords: Bioanalytical, Biological Samples, Biomedical, Environmental/Biological Samples

Abstract Content
We have been developing methodologies to establish the linkage from environmental exposures to a perturbation of the human metabolism that could eventually result in adverse health outcome. As such, we have come to embrace the "gene x environment interaction" model and are implementing the exposome concept as the environmental counterpart to the intrinsic human genome. Now that the genome has been sequenced and is becoming a useful tool for predicting health risk statistics, we are developing analogous research for the exposome which is defined as "...representing all endogenous and exogenous exposures from conception onward including exposures from diet, lifestyle, and internal biology as a quantity of critical interest to disease etiology." (paraphrased from C.P. Wild, IARC, 2005). The use of non-invasive biomarker media (especially exhaled breath) is extremely useful for population-based studies where blood or urine would be cumbersome to collect in the field. We use a variety of breath collection schemes optimized for different analyte compounds and have coupled them to specific analytical techniques including GC-MS, LC-MS-MS, and immunochemistry. Most breath-borne analytes are collected in the gas phase; however, we have recently developed methods for measuring polar volatile organic molecules, organic acids, and cytokines in exhaled breath condensate. We are building a series of methods for measuring suites of compounds in exhaled breath that will serve to establish the constituents of the human exposome and can thus be used to identify individuals and subpopulations outliers representing precursors to adverse health outcomes.