In vitro and in vivo methods to assess pharmacokinetic drug– drug interactions in drug discovery and development

Drug–drug interactions (DDIs) caused by the co‐administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from the market due to perpetrator or victim DDIs. Strategies have been developed to assess DDI risks early in drug discovery to reduce DDI liabi...

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Published inBiopharmaceutics & drug disposition Vol. 41; no. 1-2; pp. 3 - 31
Main Authors Lu, Chuang, Di, Li
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.02.2020
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Online AccessGet full text
ISSN0142-2782
1099-081X
1099-081X
DOI10.1002/bdd.2212

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Abstract Drug–drug interactions (DDIs) caused by the co‐administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from the market due to perpetrator or victim DDIs. Strategies have been developed to assess DDI risks early in drug discovery to reduce DDI liabilities. High‐to‐medium throughput assays are available to identify undesirable scaffolds and to guide structural modifications to minimize DDIs. Definitive methods are used at later stages of drug discovery and development to provide a more accurate measurement of DDI parameters and to enable clinical translations. Physiologically based pharmacokinetic modeling and simulations are powerful tools to accurately predict DDIs and to assess risks in the clinic. Although significant advances have been made over the years, many challenges remain for clinical DDI translations. This includes DDIs involving non‐cytochrome P450 enzymes, transporters, enzyme‐transporter interplay, indirect effects from biologics, and pharmacodynamic based DDI. This review focuses on methods that are used to assess hepatic DDIs caused by enzyme inhibition and induction.
AbstractList Drug–drug interactions (DDIs) caused by the co‐administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from the market due to perpetrator or victim DDIs. Strategies have been developed to assess DDI risks early in drug discovery to reduce DDI liabilities. High‐to‐medium throughput assays are available to identify undesirable scaffolds and to guide structural modifications to minimize DDIs. Definitive methods are used at later stages of drug discovery and development to provide a more accurate measurement of DDI parameters and to enable clinical translations. Physiologically based pharmacokinetic modeling and simulations are powerful tools to accurately predict DDIs and to assess risks in the clinic. Although significant advances have been made over the years, many challenges remain for clinical DDI translations. This includes DDIs involving non‐cytochrome P450 enzymes, transporters, enzyme‐transporter interplay, indirect effects from biologics, and pharmacodynamic based DDI. This review focuses on methods that are used to assess hepatic DDIs caused by enzyme inhibition and induction.
Drug-drug interactions (DDIs) caused by the co-administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from the market due to perpetrator or victim DDIs. Strategies have been developed to assess DDI risks early in drug discovery to reduce DDI liabilities. High-to-medium throughput assays are available to identify undesirable scaffolds and to guide structural modifications to minimize DDIs. Definitive methods are used at later stages of drug discovery and development to provide a more accurate measurement of DDI parameters and to enable clinical translations. Physiologically based pharmacokinetic modeling and simulations are powerful tools to accurately predict DDIs and to assess risks in the clinic. Although significant advances have been made over the years, many challenges remain for clinical DDI translations. This includes DDIs involving non-cytochrome P450 enzymes, transporters, enzyme-transporter interplay, indirect effects from biologics, and pharmacodynamic based DDI. This review focuses on methods that are used to assess hepatic DDIs caused by enzyme inhibition and induction.Drug-drug interactions (DDIs) caused by the co-administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from the market due to perpetrator or victim DDIs. Strategies have been developed to assess DDI risks early in drug discovery to reduce DDI liabilities. High-to-medium throughput assays are available to identify undesirable scaffolds and to guide structural modifications to minimize DDIs. Definitive methods are used at later stages of drug discovery and development to provide a more accurate measurement of DDI parameters and to enable clinical translations. Physiologically based pharmacokinetic modeling and simulations are powerful tools to accurately predict DDIs and to assess risks in the clinic. Although significant advances have been made over the years, many challenges remain for clinical DDI translations. This includes DDIs involving non-cytochrome P450 enzymes, transporters, enzyme-transporter interplay, indirect effects from biologics, and pharmacodynamic based DDI. This review focuses on methods that are used to assess hepatic DDIs caused by enzyme inhibition and induction.
Author Lu, Chuang
Di, Li
Author_xml – sequence: 1
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  fullname: Lu, Chuang
  organization: Sanofi Company
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  surname: Di
  fullname: Di, Li
  email: li.di@pfizer.com
  organization: Pfizer Worldwide Research & Development
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31778578$$D View this record in MEDLINE/PubMed
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Issue 1-2
Keywords enzyme activation
time-dependent inhibition
induction
reaction phenotyping
transporters
inhibition
metabolism
cytochrome P450
Drug-drug interaction
fraction metabolized
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2010; 7
2003; 43
2014; 10
2016; 44
1988
2015; 58
2010; 38
2010; 37
2006; 53
2018; 108
2000; 68
2006; 58
2018; 104
2008; 58
2019; 105
2013; 344
2005; 87
2019; 108
1993
2019; 106
2007; 96
2017; 134
1999; 104
2012; 33
2011; 5
2003; 30
2003; 31
2014; 44
2003; 33
2014; 42
2016; 11
2016; 6
2004; 311
2006; 45
2019; 42
2005; 8
2010; 332
2017; 57
2019; 47
2019; 49
2005; 4
2008; 48
2007; 81
2018; 10
2005; 11
2006; 103
1998; 8
2012; 40
2017; 42
2014; 70
2000; 49
2017; 47
2017; 49
2018a; 104
2017; 45
2004; 68
2019; 368
2008; 9
2003; 18
2008; 2
2016; 180
2012; 55
2007; 35
2009; 49
2006; 62
2013; 13
2013; 94
2015; 43
2017; 34
2018; 70
1994; 33
2017; 360
2008; 65
2016; 358
2016; 357
1996; 24
2005; 33
2018b; 104
2015; 17
2002; 30
2018b
1995; 99
1980; 21
2013; 41
2008
2016; 121
2004
2011; 39
2017; 177
2015; 8
2016; 56
2016; 55
2012; 92
1997; 248
2006; 80
2012; 91
2012; 2
2015; 29
1997; 74
2017; 12
2013; 535
2019
2017; 18
2017; 101
2019; 370
2009; 37
2017; 106
2018; 57
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Snippet Drug–drug interactions (DDIs) caused by the co‐administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from...
Drug-drug interactions (DDIs) caused by the co-administration of multiple drugs are major safety concerns in the clinic. Several drugs have been withdrawn from...
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SubjectTerms Biopharmaceuticals
Cytochrome P450
Drug discovery
Drug‐drug interaction
enzyme activation
Enzymes
fraction metabolized
induction
inhibition
metabolism
Pharmacodynamics
Pharmacokinetics
reaction phenotyping
time‐dependent inhibition
transporters
Title In vitro and in vivo methods to assess pharmacokinetic drug– drug interactions in drug discovery and development
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fbdd.2212
https://www.ncbi.nlm.nih.gov/pubmed/31778578
https://www.proquest.com/docview/2352310105
https://www.proquest.com/docview/2320376292
Volume 41
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