| TITLE: | Hazard Identification, Quantitative Estimates and Prediction of Risks from Exposure to EMF. | ||
| Principal Investigator |
C. Portier, Ph.D. | Laboratory of Quantitative and Computational Biology, NIEHS | |
| Health Relevance |
Other: Risk Assessment | ||
| Research Categories |
Epidemiology Risk Research | Risk Modeling | Melatonin modeling |
| FY95 Funds | DIR-10 $ 58,980 | Start Date 9/94 | End Date 9/95 |
| Rationale and Summary |
There have been several reports suggesting that exposure to electromagnetic fields (EMF) may
pose a potential health risk. We are studying how this risk may be modeled to provide a means of
determining what additional information is needed.
Numerous mechanisms have been suggested to explain the potential for EMF to alter cellular physiology, biochemistry, and function. The most commonly cited mechanisms are 1) disruption of cellular communication, 2) modulation of cell growth via changes in calcium flux, 3) stimulation of the pineal gland leading to neuroendocrine effects, and 4) activation of specific oncogenes. Of these four mechanisms, two form unique mathematical challenges (cellular communication and calcium ion flux), one is a classical example of a biochemical pathway which could be modeled if sufficient data exists (neuroendocrine system) and the fourth (oncogene activation) is not yet ready for mathematical modeling. In this project, we propose to model the effects of EMF on the neuroendocrine system. Modeling the effects of EMF on the neuroendocrine system will follow along classical physiological, pharmacological, and biochemical lines. In the neuroendocrine system, the pineal gland synthesizes and releases melatonin. Melatonin subsequently suppresses the activity of endocrine organs such as the gonads, pituitary gland, adrenal glands, and the thyroid. Experimental results have shown that significant nocturnal melatonin concentration decreases were caused in rats by a 60 hertz (Hz) electric field. Models developed to explain EMF-endocrine system interactions will aid us in understanding the relationship between electrical energy generated by naturally occurring processes in the body and those from environmental exposure. |
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| Experimental Design and Exposure Conditions |
Standard procedures for modeling of data for risk assessment will be used. The emphasis will be on whether the available data is adequate and what further areas of research need to be supported. | ||
| Quality Assurance Measures |
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| Results and Discussion |
We have just hired an IRTA fellow to start this project. This project will use results from all EMF studies for developing a risk model. This will continue in FY96. | ||
| Recent Publications |
None to date. | ||