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Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules

The ability to explain distribution patterns from drug physicochemical properties and binding characteristics has been explored for more than 200 compounds by interrogating data from quantitative whole body autoradiography studies (QWBA). These in vivo outcomes have been compared to in silico and in...

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Autores principales: Harrell, Andrew W, Sychterz, Caroline, Ho, May Y, Weber, Andrew, Valko, Klara, Negash, Kitaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618644/
https://www.ncbi.nlm.nih.gov/pubmed/26516585
http://dx.doi.org/10.1002/prp2.173
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author Harrell, Andrew W
Sychterz, Caroline
Ho, May Y
Weber, Andrew
Valko, Klara
Negash, Kitaw
author_facet Harrell, Andrew W
Sychterz, Caroline
Ho, May Y
Weber, Andrew
Valko, Klara
Negash, Kitaw
author_sort Harrell, Andrew W
collection PubMed
description The ability to explain distribution patterns from drug physicochemical properties and binding characteristics has been explored for more than 200 compounds by interrogating data from quantitative whole body autoradiography studies (QWBA). These in vivo outcomes have been compared to in silico and in vitro drug property data to determine the most influential properties governing drug distribution. Consistent with current knowledge, in vivo distribution was most influenced by ionization state and lipophilicity which in turn affected phospholipid and plasma protein binding. Basic and neutral molecules were generally better distributed than acidic counterparts demonstrating weaker plasma protein and stronger phospholipid binding. The influence of phospholipid binding was particularly evident in tissues with high phospholipid content like spleen and lung. Conversely, poorer distribution of acidic drugs was associated with stronger plasma protein and weaker phospholipid binding. The distribution of a proportion of acidic drugs was enhanced, however, in tissues known to express anionic uptake transporters such as the liver and kidney. Greatest distribution was observed into melanin containing tissues of the eye, most likely due to melanin binding. Basic molecules were consistently better distributed into parts of the eye and skin containing melanin than those without. The data, therefore, suggest that drug binding to macromolecules strongly influences the distribution of total drug for a large proportion of molecules in most tissues. Reducing lipophilicity, a strategy often used in discovery to optimize pharmacokinetic properties such as absorption and clearance, also decreased the influence of nonspecific binding on drug distribution.
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spelling pubmed-46186442015-10-29 Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules Harrell, Andrew W Sychterz, Caroline Ho, May Y Weber, Andrew Valko, Klara Negash, Kitaw Pharmacol Res Perspect Original Articles The ability to explain distribution patterns from drug physicochemical properties and binding characteristics has been explored for more than 200 compounds by interrogating data from quantitative whole body autoradiography studies (QWBA). These in vivo outcomes have been compared to in silico and in vitro drug property data to determine the most influential properties governing drug distribution. Consistent with current knowledge, in vivo distribution was most influenced by ionization state and lipophilicity which in turn affected phospholipid and plasma protein binding. Basic and neutral molecules were generally better distributed than acidic counterparts demonstrating weaker plasma protein and stronger phospholipid binding. The influence of phospholipid binding was particularly evident in tissues with high phospholipid content like spleen and lung. Conversely, poorer distribution of acidic drugs was associated with stronger plasma protein and weaker phospholipid binding. The distribution of a proportion of acidic drugs was enhanced, however, in tissues known to express anionic uptake transporters such as the liver and kidney. Greatest distribution was observed into melanin containing tissues of the eye, most likely due to melanin binding. Basic molecules were consistently better distributed into parts of the eye and skin containing melanin than those without. The data, therefore, suggest that drug binding to macromolecules strongly influences the distribution of total drug for a large proportion of molecules in most tissues. Reducing lipophilicity, a strategy often used in discovery to optimize pharmacokinetic properties such as absorption and clearance, also decreased the influence of nonspecific binding on drug distribution. John Wiley & Sons, Ltd 2015-10 2015-08-10 /pmc/articles/PMC4618644/ /pubmed/26516585 http://dx.doi.org/10.1002/prp2.173 Text en © 2015 The Authors. Pharmacology Research & Perspectives published by John Wiley & Sons Ltd, British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Harrell, Andrew W
Sychterz, Caroline
Ho, May Y
Weber, Andrew
Valko, Klara
Negash, Kitaw
Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
title Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
title_full Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
title_fullStr Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
title_full_unstemmed Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
title_short Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
title_sort interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618644/
https://www.ncbi.nlm.nih.gov/pubmed/26516585
http://dx.doi.org/10.1002/prp2.173
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