A physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) model combined with Monte
Carlo analysis of inter-individual variation was used to assess the effects of the insecticide, chlorpyrifos
and its active metabolite, chlorpyrifos oxon in humans. The PBPK/PD model has previously been validated
and used to describe physiological changes in typical individuals as they grow from birth to
adulthood. This model was updated to include physiological and metabolic changes that occur with
pregnancy. The model was then used to assess the impact of inter-individual variability in physiology and
biochemistry on predictions of internal dose metrics and quantitatively assess the impact of major
sources of parameter uncertainty and biological diversity on the pharmacodynamics of red blood cell
acetylcholinesterase inhibition. These metrics were determined in potentially sensitive populations of
infants, adult women, pregnant women, and a combined population of adult men and women. The
parameters primarily responsible for inter-individual variation in RBC acetylcholinesterase inhibition
were related to metabolic clearance of CPF and CPF-oxon. Data Derived Extrapolation Factors that address
intra-species physiology and biochemistry to replace uncertainty factors with quantitative differences in
metrics were developed in these same populations. The DDEFs were less than 4 for all populations. These
data and modeling approach will be useful in ongoing and future human health risk assessments for CPF
and could be used for other chemicals with potential human exposure.
Revised: April 27, 2017 |
Published: June 1, 2017
Citation
Poet T.S., C. Timchalk, M.J. Bartels, J.N. Smith, R. Mcdougal, D. Juberg, and P.S. Price. 2017.Use of a probabilistic PBPK/PD model to calculate Data Derived Extrapolation Factors for chlorpyrifos.Regulatory Toxicology and Pharmacology 86. PNWD-SA-10561. doi:10.1016/j.yrtph.2017.02.014