Negative Food Effect of Danirixin: Use of PBPK Modelling to Explore the Effect of Formulation and Meal Type on Clinical PK

Purpose To use physiologically-based pharmacokinetic (PBPK) modelling to explore the food effect of different DNX hydrobromide (HBr) hemihydrate salt tablet formulations using biorelevant dissolution. Methods Compendial dissolution using a paddle method and TIM-1 biorelevant dissolution were perform...

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Veröffentlicht in:Pharmaceutical research 2020-12, Vol.37 (12), p.233-233, Article 233
Hauptverfasser: Lloyd, Richard S., Hingle, Martin I., Bloomer, Jackie C., Charles, Stephen J., Butler, James M., Paul, Alan, Zhu, Xiaofeng, Miller, Bruce, D’Amico, Donald, Donald, Alison, Tal-Singer, Ruth, Ambery, Claire
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container_end_page 233
container_issue 12
container_start_page 233
container_title Pharmaceutical research
container_volume 37
creator Lloyd, Richard S.
Hingle, Martin I.
Bloomer, Jackie C.
Charles, Stephen J.
Butler, James M.
Paul, Alan
Zhu, Xiaofeng
Miller, Bruce
D’Amico, Donald
Donald, Alison
Tal-Singer, Ruth
Ambery, Claire
description Purpose To use physiologically-based pharmacokinetic (PBPK) modelling to explore the food effect of different DNX hydrobromide (HBr) hemihydrate salt tablet formulations using biorelevant dissolution. Methods Compendial dissolution using a paddle method and TIM-1 biorelevant dissolution were performed and incorporated into a previously reported PBPK model. A two-part clinical study evaluated tablet formulations in the fasted/fed (high fat) state (Part A), and the impact of food (fasted/normal/high fat) and Proton Pump Inhibitor (PPI) co-administration for a selected formulation; as well as a formulation containing DNX HBr in the monohydrate state (Part B). Results TIM-1 data showed that the fed state bioaccessibility of DNX was significantly decreased compared to the fasted state with no significant differences between formulations. Dosed with normal/high fat food the selected formulation showed comparable exposure and a modest increase in DNX systemic PK was observed with PPI dependent on meal type. Under fed conditions DNX systemic exposure was comparable for the monohydrate and hemihydrate formulations. The integration of biorelevant TIM-1 data into the PBPK model led to the successful simulation of a DNX negative food effect. Conclusions Interactions between DNX and food components are the likely the source of the negative food effect via micellar entrapment, ion pairing and/or meal induced viscosity changes.
doi_str_mv 10.1007/s11095-020-02948-z
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Methods Compendial dissolution using a paddle method and TIM-1 biorelevant dissolution were performed and incorporated into a previously reported PBPK model. A two-part clinical study evaluated tablet formulations in the fasted/fed (high fat) state (Part A), and the impact of food (fasted/normal/high fat) and Proton Pump Inhibitor (PPI) co-administration for a selected formulation; as well as a formulation containing DNX HBr in the monohydrate state (Part B). Results TIM-1 data showed that the fed state bioaccessibility of DNX was significantly decreased compared to the fasted state with no significant differences between formulations. Dosed with normal/high fat food the selected formulation showed comparable exposure and a modest increase in DNX systemic PK was observed with PPI dependent on meal type. Under fed conditions DNX systemic exposure was comparable for the monohydrate and hemihydrate formulations. The integration of biorelevant TIM-1 data into the PBPK model led to the successful simulation of a DNX negative food effect. Conclusions Interactions between DNX and food components are the likely the source of the negative food effect via micellar entrapment, ion pairing and/or meal induced viscosity changes.</description><identifier>ISSN: 0724-8741</identifier><identifier>EISSN: 1573-904X</identifier><identifier>DOI: 10.1007/s11095-020-02948-z</identifier><identifier>PMID: 33123802</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Biochemistry ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Dissolution ; Food ; Food selection ; Medical Law ; Pharmacokinetics ; Pharmacology/Toxicology ; Pharmacy ; Proton pump inhibitors ; Research Paper</subject><ispartof>Pharmaceutical research, 2020-12, Vol.37 (12), p.233-233, Article 233</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-8b2868d5843dd08f4b43c52a179774cc9ada00f0cded5b7cef22a402557232553</citedby><cites>FETCH-LOGICAL-c414t-8b2868d5843dd08f4b43c52a179774cc9ada00f0cded5b7cef22a402557232553</cites><orcidid>0000-0002-7988-1888</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11095-020-02948-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11095-020-02948-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33123802$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lloyd, Richard S.</creatorcontrib><creatorcontrib>Hingle, Martin I.</creatorcontrib><creatorcontrib>Bloomer, Jackie C.</creatorcontrib><creatorcontrib>Charles, Stephen J.</creatorcontrib><creatorcontrib>Butler, James M.</creatorcontrib><creatorcontrib>Paul, Alan</creatorcontrib><creatorcontrib>Zhu, Xiaofeng</creatorcontrib><creatorcontrib>Miller, Bruce</creatorcontrib><creatorcontrib>D’Amico, Donald</creatorcontrib><creatorcontrib>Donald, Alison</creatorcontrib><creatorcontrib>Tal-Singer, Ruth</creatorcontrib><creatorcontrib>Ambery, Claire</creatorcontrib><title>Negative Food Effect of Danirixin: Use of PBPK Modelling to Explore the Effect of Formulation and Meal Type on Clinical PK</title><title>Pharmaceutical research</title><addtitle>Pharm Res</addtitle><addtitle>Pharm Res</addtitle><description>Purpose To use physiologically-based pharmacokinetic (PBPK) modelling to explore the food effect of different DNX hydrobromide (HBr) hemihydrate salt tablet formulations using biorelevant dissolution. Methods Compendial dissolution using a paddle method and TIM-1 biorelevant dissolution were performed and incorporated into a previously reported PBPK model. A two-part clinical study evaluated tablet formulations in the fasted/fed (high fat) state (Part A), and the impact of food (fasted/normal/high fat) and Proton Pump Inhibitor (PPI) co-administration for a selected formulation; as well as a formulation containing DNX HBr in the monohydrate state (Part B). Results TIM-1 data showed that the fed state bioaccessibility of DNX was significantly decreased compared to the fasted state with no significant differences between formulations. Dosed with normal/high fat food the selected formulation showed comparable exposure and a modest increase in DNX systemic PK was observed with PPI dependent on meal type. Under fed conditions DNX systemic exposure was comparable for the monohydrate and hemihydrate formulations. The integration of biorelevant TIM-1 data into the PBPK model led to the successful simulation of a DNX negative food effect. 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Methods Compendial dissolution using a paddle method and TIM-1 biorelevant dissolution were performed and incorporated into a previously reported PBPK model. A two-part clinical study evaluated tablet formulations in the fasted/fed (high fat) state (Part A), and the impact of food (fasted/normal/high fat) and Proton Pump Inhibitor (PPI) co-administration for a selected formulation; as well as a formulation containing DNX HBr in the monohydrate state (Part B). Results TIM-1 data showed that the fed state bioaccessibility of DNX was significantly decreased compared to the fasted state with no significant differences between formulations. Dosed with normal/high fat food the selected formulation showed comparable exposure and a modest increase in DNX systemic PK was observed with PPI dependent on meal type. Under fed conditions DNX systemic exposure was comparable for the monohydrate and hemihydrate formulations. The integration of biorelevant TIM-1 data into the PBPK model led to the successful simulation of a DNX negative food effect. Conclusions Interactions between DNX and food components are the likely the source of the negative food effect via micellar entrapment, ion pairing and/or meal induced viscosity changes.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33123802</pmid><doi>10.1007/s11095-020-02948-z</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7988-1888</orcidid></addata></record>
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source Springer Nature - Complete Springer Journals
subjects Biochemistry
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Dissolution
Food
Food selection
Medical Law
Pharmacokinetics
Pharmacology/Toxicology
Pharmacy
Proton pump inhibitors
Research Paper
title Negative Food Effect of Danirixin: Use of PBPK Modelling to Explore the Effect of Formulation and Meal Type on Clinical PK
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