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Using water–solvent systems to estimate in vivo blood–tissue partition coefficients

Overview of attention for article published in BMC Chemistry, October 2015
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Title
Using water–solvent systems to estimate in vivo blood–tissue partition coefficients
Published in
BMC Chemistry, October 2015
DOI 10.1186/s13065-015-0134-z
Pubmed ID
Authors

Caitlin E. Derricott, Emily A. Knight, William E. Acree, Andrew SID Lang

Abstract

Blood-tissue partition coefficients indicate how a chemical will distribute throughout the body and are an important part of any pharmacokinetic study. They can be used to assess potential toxicological effects from exposure to chemicals and the efficacy of potential novel drugs designed to target certain organs or the central nervous system. In vivo measurement of blood-tissue partition coefficients is often complicated, time-consuming, and relatively expensive, so developing in vitro systems that approximate in vivo ones is desirable. We have determined such systems for tissues such as brain, muscle, liver, lung, kidney, heart, skin, and fat. Several good (p < 0.05) blood-tissue partition coefficient models were developed using a single water-solvent system. These include blood-brain, blood-lung, blood-heart, blood-fat, blood-skin, water-skin, and skin permeation. Many of these partition coefficients have multiple water-solvent systems that can be used as models. Several solvents-methylcyclohexane, 1,9-decadiene, and 2,2,2-trifluoroethanol-were common to multiple models and thus a single measurement can be used to estimate multiple blood-tissue partition coefficients. A few blood-tissue systems require a combination of two water-solvent partition coefficient measurements to model well (p < 0.01), namely: blood-muscle: chloroform and dibutyl ether, blood-liver: N-methyl-2-piperidone and ethanol/water (60:40) volume, and blood-kidney: DMSO and ethanol/water (20:80) volume. In vivo blood-tissue partition coefficients can be easily estimated through water-solvent partition coefficient measurements.Graphical abstract:Predicted blood-brain barrier partition coefficients coloured by measured log BB value.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 33%
Researcher 3 33%
Student > Ph. D. Student 1 11%
Unknown 2 22%
Readers by discipline Count As %
Engineering 2 22%
Medicine and Dentistry 1 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Chemistry 1 11%
Neuroscience 1 11%
Other 0 0%
Unknown 3 33%