Prediction of VOCs based on functional analysis by decision supporting system

Abstract

In the industrial age, people are exposed to many hazardous substances in many ways. Generally, exposure is of low doses, but chronic symptoms are associated with many industrial pollutants, and therefore, early prediction of exposure is important. In this study, we intended to determine the reliability of the predictive modeling and biomarkers of a previous study, and to determine the related pathway of that biomarkers. We analyzed the key pathways and biological processes associated with volatile organic compounds (VOCs) from previous data - VOCs biomarker CRCT1, RUNX3, PCDH11X and PCSK6. In the analysis, inflammation and neoplasm were remarkably frequently occurring disease within the VOCs exposed body, and especially, exposure to toluene, presents a great likelihood of nerve disease or nervous system disease. Those diseases were related with the several biological processes, they are cell proliferation, apoptosis, inflammatory response, and nervous system development. This study shows probability that application of decision supporting systems, moreover it is helpful to decide whether VOCs exposure has occurred or not, and to predict negative effects.