Abstract
ISEE-0884 Background and Objective: Environmental epidemiology is a rapidly expanding field, fostered by the ever-increasing capacity to measure internal exposure to environmental chemicals. Researchers are often frustrated in their search for the best laboratory for their analyses of these chemicals in blood or urine. We have designed and developed a database of laboratories capable of measuring exposure biomarkers for research studies (MEB-Lab database). Methods: The MEB-Lab searchable database contains detailed information about laboratories capable of measuring exposure biomarkers, offered as a resource to the community of environmental scientists. Data elements include the laboratory name, location, contact information, link to website, chemical biomarkers measured, analytic technique, limits of detection specific to the biologic media, and laboratory publications. Users of the database are able to invoke simple standard queries to obtain information about laboratories that are capable of measuring a specified environmental biomarker or class of biomarkers, or to obtain information about the biomarkers measured by a specified laboratory. The design includes an online evaluation, triggered as the user exits the database. Results: Currently this relational database includes information from 44 laboratories, gathered from their websites and other printed materials. Additional information has been received directly from 18 laboratSupport for this project provided by the National Institute of Environmental Health Sciences to the University of Cincinnati Center for Environmental Genetics (P30-ES06096). ories, including the exact chemical and metal biomarkers measured and the laboratory limit of detection. Each laboratory is linked to information about 400 environmental biomarkers within 16 chemical classes. The database can be accessed through the University of Cincinnati Center for Environmental Health website www.eh.uc.edu/ceg, or at http://cctst.uc.edu/meb/index.html. Conclusions: We continue to communicate with laboratories to acquire additional information to populate the database, and also modify the database based on evaluations from users.
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