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Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability
BACKGROUND: A rapid and comprehensive metabolic stability screen at the top of a drug discovery flow chart serves as an effective gate in eliminating low value compounds. This imparts a significant level of efficiency and saves valuable resources. While microsomes are amenable to high throughput aut...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Bentham Science Publishers
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405623/ https://www.ncbi.nlm.nih.gov/pubmed/26902079 http://dx.doi.org/10.2174/1872312810666160223121836 |
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author | Richardson, Samantha J. Bai, April Kulkarni, Ashutosh A. Moghaddam, Mehran F. |
author_facet | Richardson, Samantha J. Bai, April Kulkarni, Ashutosh A. Moghaddam, Mehran F. |
author_sort | Richardson, Samantha J. |
collection | PubMed |
description | BACKGROUND: A rapid and comprehensive metabolic stability screen at the top of a drug discovery flow chart serves as an effective gate in eliminating low value compounds. This imparts a significant level of efficiency and saves valuable resources. While microsomes are amenable to high throughput automation and are cost effective, their enzymatic make-up is limited to that which is contained in endoplasmic reticulum, thereby informing only on Phase I metabolism. Lack of Phase II metabolism data can become a potential liability later in the process, adversely affecting discovery projects’ timelines and budget. Hepatocytes offer a full complement of metabolic enzymes and retain their cellular compartments, better representing liver metabolic function. However, hepatocyte screens are relatively expensive, labor intensive, and not easily automatable. Liver S9 fractions include Phase I and II metabolic enzymes, are relatively inexpensive, easy to use, and amenable to automation, making them a more appropriate screening system. We compare the data from the three systems and present the results. RESULTS: Liver S9 and hepatocyte stability assays binned into the same category 70-84% of the time. Microsome and hepatocyte data were in agreement 73-82% of the time. The true rate for stability versus plasma clearance was 45% for hepatocytes and 43% for S9. CONCLUSION: In our opinion, replacing liver microsome and hepatocyte assays with S9 assay for high throughput metabolic screening purposes provides the combined benefit of comprehensive and high quality data at a reasonable expense for drug discovery programs. |
format | Online Article Text |
id | pubmed-5405623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-54056232017-05-12 Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability Richardson, Samantha J. Bai, April Kulkarni, Ashutosh A. Moghaddam, Mehran F. Drug Metab Lett Article BACKGROUND: A rapid and comprehensive metabolic stability screen at the top of a drug discovery flow chart serves as an effective gate in eliminating low value compounds. This imparts a significant level of efficiency and saves valuable resources. While microsomes are amenable to high throughput automation and are cost effective, their enzymatic make-up is limited to that which is contained in endoplasmic reticulum, thereby informing only on Phase I metabolism. Lack of Phase II metabolism data can become a potential liability later in the process, adversely affecting discovery projects’ timelines and budget. Hepatocytes offer a full complement of metabolic enzymes and retain their cellular compartments, better representing liver metabolic function. However, hepatocyte screens are relatively expensive, labor intensive, and not easily automatable. Liver S9 fractions include Phase I and II metabolic enzymes, are relatively inexpensive, easy to use, and amenable to automation, making them a more appropriate screening system. We compare the data from the three systems and present the results. RESULTS: Liver S9 and hepatocyte stability assays binned into the same category 70-84% of the time. Microsome and hepatocyte data were in agreement 73-82% of the time. The true rate for stability versus plasma clearance was 45% for hepatocytes and 43% for S9. CONCLUSION: In our opinion, replacing liver microsome and hepatocyte assays with S9 assay for high throughput metabolic screening purposes provides the combined benefit of comprehensive and high quality data at a reasonable expense for drug discovery programs. Bentham Science Publishers 2016-05 2016-05 /pmc/articles/PMC5405623/ /pubmed/26902079 http://dx.doi.org/10.2174/1872312810666160223121836 Text en © 2016 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Richardson, Samantha J. Bai, April Kulkarni, Ashutosh A. Moghaddam, Mehran F. Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability |
title | Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability |
title_full | Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability |
title_fullStr | Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability |
title_full_unstemmed | Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability |
title_short | Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability |
title_sort | efficiency in drug discovery: liver s9 fraction assay as a screen for metabolic stability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405623/ https://www.ncbi.nlm.nih.gov/pubmed/26902079 http://dx.doi.org/10.2174/1872312810666160223121836 |
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