New Environmental Public Health Indicator Linking Organochlorine Compounds and Type 2 DiabetesEPA Grant Number: R834795
Title: New Environmental Public Health Indicator Linking Organochlorine Compounds and Type 2 Diabetes
Investigators: Chambers, Janice E. , Crow, John Allen , Ross, Matthew K. , Wills, Robert W.
Institution: Mississippi State University - Main Campus
EPA Project Officer: Nolt-Helms, Cynthia
Project Period: April 1, 2011 through March 31, 2014 (Extended to March 31, 2016)
Project Amount: $500,000
RFA: Exploring Linkages Between Health Outcomes and Environmental Hazards, Exposures, and Interventions for Public Health Tracking and Risk Management (2009) RFA Text | Recipients Lists
Research Category: Human Health , Air Quality and Air Toxics , Health
The project will develop an environmental public health indicator (EPHI) by linking soil residues of organochlorine (OC) insecticides and metabolites/degradates, OC compound levels in people and a disease with which they are implicated, type 2 diabetes (T2D). The proposed EPHI would be serum levels of these OC compounds.
1) Determine if environmental (soil) levels of OC compounds and serum levels of OC compounds in people from a region of intense agriculture are greater than levels in soil and people from a less intensely farmed region.
2) Determine if a quantitative relationship exists between serum levels of OC compounds and the prevalence of endocrine disorders of glucose metabolism (T2D/prediabetes/increased insulin resistance).
Soil samples from 40 sites within a high agriculture area (Mississippi Delta) and 40 from a less intensively farmed area will be analyzed for OC analytes. Serum samples and demographic and clinical information will be obtained from male individuals, at least 45 years of age, from the Delta and non-Delta (150 in each region), and will be analyzed for OC compounds; deidentified samples and information will be supplied by the Veterans Administration from its patient pool.
Aim 1: The soil analytes will be statistically compared between the two regions and the serum analytes will be compared between the two regions.
Aim 2: Statistical models will be constructed to test for associations between the levels of the serum analytes and the occurrence of disorders of glucose metabolism. Explanatory variables will be included in the model: age, race, body mass index, and region of residence.
Outputs will be OC compound levels in soil and serum, and statistical models of associations between OC compound levels and diabetes. The expected outcome will be an EPHI relating serum OC compound levels and disorders of glucose metabolism.