Functional Genomics of Particle-Induced Lung Injury

Abstract

Currently, the biological mechanisms controlling adverse reactions to particulate matter are uncertain, but are likely to include oxidative lung injury, inflammation, infection, and preexisting pulmonary disease (e.g., chronic obstructive pulmonary diseaseJ. Each mechanism can be viewed as a complex trait controlled by interactions of host (genetic) and environmental factors. We propose that genetic factors play a major role in susceptibility to particulate matter because the number of individuals exposed (even in occupational settings) is often large, but relatively few people respond with increases in morbidity and even mortality. Previous clinical studies support this hypothesis, having discovered marked individual variation in diminished lung function following oxidant exposures. Advances in functional genomics have facilitated the examination of this hypothesis and have begun to provide valuable new insights into gene-environmental interactions. For example, genome-wide scans can be completed readily in mice that enable assessment of chromosomal regions with linkage to quantitative traits. Recently, we and others have identified linkage to oxidant-induced inflammation and mortality. Such linkage analysis can narrow and prioritize candidate gene(s) for further investigation, which, in turn, is aided by existing transgenic mouse models. In addition, differential expression (microarray) analysis enables simultaneous assessment of thousands of genes and expressed sequence tags. Combining genome-wide scan with microarray analysis permits a comprehensive assessment of adverse responses to environmental stimuli and will lead to progress in understanding the complex cellular mechanisms and genetic determinants of susceptibility to particulate matter.