Detecting spatiotemporal clusters of accidental poisoning mortality among Texas counties, U.S., 1980 – 2001

Background Accidental poisoning is one of the leading causes of injury in the United States, second only to motor vehicle accidents. According to the Centers for Disease Control and Prevention, the rates of accidental poisoning mortality have been increasing in the past fourteen years nationally. In Texas, mortality rates from accidental poisoning have mirrored national trends, increasing linearly from 1981 to 2001. The purpose of this study was to determine if there are spatiotemporal clusters of accidental poisoning mortality among Texas counties, and if so, whether there are variations in clustering and risk according to gender and race/ethnicity. The Spatial Scan Statistic in combination with GIS software was used to identify potential clusters between 1980 and 2001 among Texas counties, and Poisson regression was used to evaluate risk differences. Results Several significant (p < 0.05) accidental poisoning mortality clusters were identified in different regions of Texas. The geographic and temporal persistence of clusters was found to vary by racial group, gender, and race/gender combinations, and most of the clusters persisted into the present decade. Poisson regression revealed significant differences in risk according to race and gender. The Black population was found to be at greatest risk of accidental poisoning mortality relative to other race/ethnic groups (Relative Risk (RR) = 1.25, 95% Confidence Interval (CI) = 1.24 – 1.27), and the male population was found to be at elevated risk (RR = 2.47, 95% CI = 2.45 – 2.50) when the female population was used as a reference. Conclusion The findings of the present study provide evidence for the existence of accidental poisoning mortality clusters in Texas, demonstrate the persistence of these clusters into the present decade, and show the spatiotemporal variations in risk and clustering of accidental poisoning deaths by gender and race/ethnicity. By quantifying disparities in accidental poisoning mortality by place, time and person, this study demonstrates the utility of the spatial scan statistic combined with GIS and regression methods in identifying priority areas for public health planning and resource allocation.

NOVEL INDUCERS OF GLIOTOXIN PRODUCTION IN ASPERGILLUS FUMIGATUS

Secondary metabolites are produced by numerous organisms and can either be benign to humans or harmful. Genes involved in the synthesis and transport of these secondary metabolites are frequently found in gene clusters, which are often located in subtelomeric regions of the chromosome. These clusters are often coordinately regulated, being almost exclusively dependent on transcription factors that are located within the clusters themselves. Secondary metabolites are also regulated by a variety of factors, including nutritional factors, environmental factors and developmental processes. Gliotoxin, which is produced by a variety of Aspergillus species, Trichoderma species, and Penicillium species, exhibits immunosuppressive properties and has therefore been the subject of research for many laboratories. There have been a few proteins shown to regulate the gliotoxin cluster, most notably GliZ, a Zn2Cys6 binuclear finger transcription factor that lies within the cluster, and LaeA, a putative methyltransferase that globally regulates secondary metabolism clusters within numerous fungal organisms, although no study has demonstrated the direct binding of any protein to a promoter region in the gliotoxin cluster. I report here two novel proteins, GipA, a C2H2 transcription factor and GipB, a hybrid sensor kinase, which are involved in regulating the gliotoxin biosynthetic cluster. GipA plays an important role in gliotoxin production, as high-copy expression of gipA induces gliotoxin biosynthesis and loss of gipA reduces gliotoxin biosynthesis by 50%. GipB is also involved in regulating gliotoxin production, as high-copy expression of gipB induces gliotoxin biosynthesis, but only during certain stages of asexual development. Furthermore, loss of gipB reduces gliotoxin biosynthesis by 10%. Based on data obtained from this project, I propose a model for the regulation of gliA, the efflux pump of the gliotoxin cluster, which involves GipB signaling through both GliZ and GipA. I propose that GliZ and GipA are interdependent, as mutation of the GipA DNA binding site in the gliA promoter negatively affects both GliZ-mediated and GipA-mediated induction of gliA. This is further supported by the fact that GliZ cannot fully induce gliA in the absence of GipA and vice versa. This is the first time that anyone has shown evidence of a protein directly binding to the gliotoxin cluster. Even though biosynthetic clusters are often coordinately regulated, my model raises the possibility that gliA is independently regulated, as the layout of the binding site in the gliA promoter is not present upstream of any other genes in the gliotoxin cluster, except for gliZ.