P. Poulin et K. Krishnan, A BIOLOGICALLY-BASED ALGORITHM FOR PREDICTING HUMAN TISSUE - BLOOD PARTITION COEFFICIENTS OF ORGANIC CHEMICALS, Human & experimental toxicology, 14(3), 1995, pp. 273-280
A biologically-based algorithm for predicting the tissue: blood partit
ion coefficients (PCs) of organic chemicals has been developed. The ap
proach consisted of (i) describing tissues and blood in terms of their
neutral lipid, phospholipid, and water contents, (ii) obtaining data
on the solubility of chemicals in n-octanol and water, and (iii) calcu
lating the tissue: blood PCs by assuming that the solubility of a chem
ical in n-octanol corresponds to its solubility in neutral lipids, the
solubility in water corresponds to the solubility in tissue/blood wat
er fraction, and the solubility in phospholipids is a function of solu
bility in water and n-octanol. The adequacy of this approach was verif
ied by comparing the predicted values with previously published experi
mental data on human tissue (liver, lung, muscle, kidney, brain, adipo
se tissue): blood PCs for 23 organic chemicals. In the case of liver,
lung and muscle, the predicted PC values were in close agreement with
the higher-end of the range of experimental PC values found in the lit
erature. The predicted brain: and kidney: blood PCs were greater than
the experimental PCs in most cases by approximately a factor of two. W
hereas the adipose tissue: blood PCs of relatively less hydrophilic ch
emicals were adequately predicted, the predicted PCs for relatively mo
re hydrophilic chemicals were much greater than the experimentally-det
ermined values. There was a good agreement between the predicted and e
xperimentally-determined blood solubility of the 23 chemicals chosen f
or this study, indicating that the over-estimation of tissue: blood PC
s by the present method is not due to under-estimation of blood solubi
lity of chemicals. Rather, it might be due to the lower tissue solubil
ity of chemicals observed experimentally due to the complexity of the
tissue matrices. This novel approach of describing tissues in terms of
the type of lipid and water content should enable the prediction of t
he tissue: blood PCs of organic chemicals with information on their so
lubility in water and n-octanol, for developing physiologically-based
toxicokinetic models.