Literature DB >> 22070391

Serum albumin binding of structurally diverse neutral organic compounds: data and models.

Satoshi Endo1, Kai-Uwe Goss.   

Abstract

Binding to serum albumin has a strong influence on freely dissolved, unbound concentrations of chemicals in vivo and in vitro. For neutral organic solutes, previous studies have suggested a log-log correlation between the albumin-water partition coefficient and the octanol-water partition coefficient (K(ow)) and postulated highly nonspecific binding that is mechanistically analogous to dissolution into solvents. These relationships and concepts were further explored in this study. Bovine serum albumin (BSA)-water partition coefficients (K(BSA/w)) were measured for 83 structurally diverse neutral organic chemicals in consistent experimental conditions. The correlation between log K(BSA/w) and log K(ow) was moderate, with R(2) = 0.76 and SD = 0.43. The log K(BSA/w) of low-polarity compounds including a series of chlorobenzenes and polycyclic aromatic hydrocarbons increased with log K(ow) linearly up to log K(ow) = 4-5, but then the linear relationship apparently broke off, and the increase became gradual. The fitting of polyparameter linear free energy relationship models with five solute descriptors was just comparable to that of the log K(ow) model (R(2) = 0.78-0.79, SD = 0.41-0.42); the relatively high SD obtained suggests that solvent dissolution models are not capable of modeling albumin binding accurately. A size limitation of the binding site(s) of albumin is suggested as a possible reason for the high SD. An equilibrium distribution model indicates that serum albumin generally has high contributions to the binding in the serum of polar compounds and relatively small low-polarity compounds, whereas albumin binding for large low-polarity compounds is outcompeted by the strong partitioning into lipids due to low relative affinity of albumin for these compounds.
© 2011 American Chemical Society

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Year:  2011        PMID: 22070391     DOI: 10.1021/tx200431b

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  5 in total

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Journal:  Arch Toxicol       Date:  2016-11-04       Impact factor: 5.153

2.  Influence of in Vitro Assay Setup on the Apparent Cytotoxic Potency of Benzalkonium Chlorides.

Authors:  Floris A Groothuis; Niels Timmer; Eystein Opsahl; Beate Nicol; Steven T J Droge; Bas J Blaauboer; Nynke I Kramer
Journal:  Chem Res Toxicol       Date:  2019-05-22       Impact factor: 3.739

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Authors:  Julita Stadnicka-Michalak; Nadine Bramaz; René Schönenberger; Kristin Schirmer
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

4.  Applicability Domain of Polyparameter Linear Free Energy Relationship Models Evaluated by Leverage and Prediction Interval Calculation.

Authors:  Satoshi Endo
Journal:  Environ Sci Technol       Date:  2022-04-14       Impact factor: 9.028

5.  Revealing the role of oxidation state in interaction between nitro/amino-derived particulate matter and blood proteins.

Authors:  Zhen Liu; Ping Li; Weiwei Bian; Jingkai Yu; Jinhua Zhan
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

  5 in total

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