Loading…

PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3

The aim of the present study was to establish a physiologically based pharmacokinetic (PBPK) model for coproporphyrin I (CP‐I), a biomarker supporting the prediction of drug‐drug interactions (DDIs) involving hepatic organic anion transporting polypeptide 1B (OATP1B), using clinical DDI data with an...

Full description

Saved in:
Bibliographic Details
Published in:CPT: pharmacometrics and systems pharmacology 2018-11, Vol.7 (11), p.739-747
Main Authors: Yoshikado, Takashi, Toshimoto, Kota, Maeda, Kazuya, Kusuhara, Hiroyuki, Kimoto, Emi, Rodrigues, A. David, Chiba, Koji, Sugiyama, Yuichi
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23
cites cdi_FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23
container_end_page 747
container_issue 11
container_start_page 739
container_title CPT: pharmacometrics and systems pharmacology
container_volume 7
creator Yoshikado, Takashi
Toshimoto, Kota
Maeda, Kazuya
Kusuhara, Hiroyuki
Kimoto, Emi
Rodrigues, A. David
Chiba, Koji
Sugiyama, Yuichi
description The aim of the present study was to establish a physiologically based pharmacokinetic (PBPK) model for coproporphyrin I (CP‐I), a biomarker supporting the prediction of drug‐drug interactions (DDIs) involving hepatic organic anion transporting polypeptide 1B (OATP1B), using clinical DDI data with an OATP1B inhibitor rifampicin (300 and 600 mg, orally). The in vivo inhibition constants of rifampicin used as initial input parameters for OATP1Bs (Ki,u,OATP1Bs) and multidrug resistance‐associated protein two‐mediated biliary excretion were estimated as 0.23 and 0.87 μM, respectively, from previous reports. Sensitivity analysis demonstrated that the Ki,u,OATP1Bs and biosynthesis rate of CP‐I affected the magnitude of the interaction. Ki,u,OATP1Bs values optimized by nonlinear least‐squares fitting were ~0.5‐fold of the initial value. It was determined that the blood concentration‐time profiles of four statins were well‐predicted using corrected individual Ki,u,OATP1B values (ratio of in vitro Ki,u(statin)/in vitro Ki,u(CP‐I)). In conclusion, PBPK modeling of CP‐I supports dynamic prediction of OATP1B‐mediated DDIs.
doi_str_mv 10.1002/psp4.12348
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6263667</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2266286475</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23</originalsourceid><addsrcrecordid>eNp9kc1u1DAQgC0EolXphQdAlrggpC3-i-NckLpLS1cUNRLlbDm2s-uStVM7WbQvwHPXYZeqcGAuHtufPs94AHiN0RlGiHzoU8_OMKFMPAPHBHM6ExTx50_yI3Ca0h3KUTKEK_QSHFGEyyLHMfhVz-sv8GswtnN-BUMLF6GPoQ-xX--i83AJVYLKwwtvwsr6MCY4d2Gj4g8bYRsi_BTHFVz6wUalBxd8yptt6LaTbunXrnHT6WS-sr0anIY357c1nuNsNYecvgIvWtUle3pYT8D3y4vbxdXs-ubzcnF-PdMFZmJmKEJGGK1FQyshSMXLRrPCYi1Mo4uWlJy3utLYlMS2mhRc6aa1BTPMUKYJPQEf995-bDbWaOuHqDrZR5c72smgnPz7xru1XIWt5IRTzssseHcQxHA_2jTIjUvadp3yNv-NJKiqEKMVn956-w96F8boc3uSEM6J4KwsMvV-T-kYUoq2fSwGIzlNWE4Tlr8nnOE3T8t_RP_MMwN4D_x0nd39RyXrbzXbSx8Agjqw2g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2266286475</pqid></control><display><type>article</type><title>PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3</title><source>Open Access: PubMed Central</source><source>Open Access: Wiley-Blackwell Open Access Journals</source><source>Publicly Available Content Database</source><creator>Yoshikado, Takashi ; Toshimoto, Kota ; Maeda, Kazuya ; Kusuhara, Hiroyuki ; Kimoto, Emi ; Rodrigues, A. David ; Chiba, Koji ; Sugiyama, Yuichi</creator><creatorcontrib>Yoshikado, Takashi ; Toshimoto, Kota ; Maeda, Kazuya ; Kusuhara, Hiroyuki ; Kimoto, Emi ; Rodrigues, A. David ; Chiba, Koji ; Sugiyama, Yuichi</creatorcontrib><description>The aim of the present study was to establish a physiologically based pharmacokinetic (PBPK) model for coproporphyrin I (CP‐I), a biomarker supporting the prediction of drug‐drug interactions (DDIs) involving hepatic organic anion transporting polypeptide 1B (OATP1B), using clinical DDI data with an OATP1B inhibitor rifampicin (300 and 600 mg, orally). The in vivo inhibition constants of rifampicin used as initial input parameters for OATP1Bs (Ki,u,OATP1Bs) and multidrug resistance‐associated protein two‐mediated biliary excretion were estimated as 0.23 and 0.87 μM, respectively, from previous reports. Sensitivity analysis demonstrated that the Ki,u,OATP1Bs and biosynthesis rate of CP‐I affected the magnitude of the interaction. Ki,u,OATP1Bs values optimized by nonlinear least‐squares fitting were ~0.5‐fold of the initial value. It was determined that the blood concentration‐time profiles of four statins were well‐predicted using corrected individual Ki,u,OATP1B values (ratio of in vitro Ki,u(statin)/in vitro Ki,u(CP‐I)). In conclusion, PBPK modeling of CP‐I supports dynamic prediction of OATP1B‐mediated DDIs.</description><identifier>ISSN: 2163-8306</identifier><identifier>EISSN: 2163-8306</identifier><identifier>DOI: 10.1002/psp4.12348</identifier><identifier>PMID: 30175555</identifier><language>eng</language><publisher>United States: John Wiley &amp; Sons, Inc</publisher><subject>Biomarkers ; Biosynthesis ; Drug dosages ; Liver ; Risk assessment ; Simulation</subject><ispartof>CPT: pharmacometrics and systems pharmacology, 2018-11, Vol.7 (11), p.739-747</ispartof><rights>2018 The Authors CPT: Pharmacometrics &amp; Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23</citedby><cites>FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2266286475/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2266286475?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11561,25752,27923,27924,37011,37012,44589,46051,46475,53790,53792,74897</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30175555$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yoshikado, Takashi</creatorcontrib><creatorcontrib>Toshimoto, Kota</creatorcontrib><creatorcontrib>Maeda, Kazuya</creatorcontrib><creatorcontrib>Kusuhara, Hiroyuki</creatorcontrib><creatorcontrib>Kimoto, Emi</creatorcontrib><creatorcontrib>Rodrigues, A. David</creatorcontrib><creatorcontrib>Chiba, Koji</creatorcontrib><creatorcontrib>Sugiyama, Yuichi</creatorcontrib><title>PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3</title><title>CPT: pharmacometrics and systems pharmacology</title><addtitle>CPT Pharmacometrics Syst Pharmacol</addtitle><description>The aim of the present study was to establish a physiologically based pharmacokinetic (PBPK) model for coproporphyrin I (CP‐I), a biomarker supporting the prediction of drug‐drug interactions (DDIs) involving hepatic organic anion transporting polypeptide 1B (OATP1B), using clinical DDI data with an OATP1B inhibitor rifampicin (300 and 600 mg, orally). The in vivo inhibition constants of rifampicin used as initial input parameters for OATP1Bs (Ki,u,OATP1Bs) and multidrug resistance‐associated protein two‐mediated biliary excretion were estimated as 0.23 and 0.87 μM, respectively, from previous reports. Sensitivity analysis demonstrated that the Ki,u,OATP1Bs and biosynthesis rate of CP‐I affected the magnitude of the interaction. Ki,u,OATP1Bs values optimized by nonlinear least‐squares fitting were ~0.5‐fold of the initial value. It was determined that the blood concentration‐time profiles of four statins were well‐predicted using corrected individual Ki,u,OATP1B values (ratio of in vitro Ki,u(statin)/in vitro Ki,u(CP‐I)). In conclusion, PBPK modeling of CP‐I supports dynamic prediction of OATP1B‐mediated DDIs.</description><subject>Biomarkers</subject><subject>Biosynthesis</subject><subject>Drug dosages</subject><subject>Liver</subject><subject>Risk assessment</subject><subject>Simulation</subject><issn>2163-8306</issn><issn>2163-8306</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><recordid>eNp9kc1u1DAQgC0EolXphQdAlrggpC3-i-NckLpLS1cUNRLlbDm2s-uStVM7WbQvwHPXYZeqcGAuHtufPs94AHiN0RlGiHzoU8_OMKFMPAPHBHM6ExTx50_yI3Ca0h3KUTKEK_QSHFGEyyLHMfhVz-sv8GswtnN-BUMLF6GPoQ-xX--i83AJVYLKwwtvwsr6MCY4d2Gj4g8bYRsi_BTHFVz6wUalBxd8yptt6LaTbunXrnHT6WS-sr0anIY357c1nuNsNYecvgIvWtUle3pYT8D3y4vbxdXs-ubzcnF-PdMFZmJmKEJGGK1FQyshSMXLRrPCYi1Mo4uWlJy3utLYlMS2mhRc6aa1BTPMUKYJPQEf995-bDbWaOuHqDrZR5c72smgnPz7xru1XIWt5IRTzssseHcQxHA_2jTIjUvadp3yNv-NJKiqEKMVn956-w96F8boc3uSEM6J4KwsMvV-T-kYUoq2fSwGIzlNWE4Tlr8nnOE3T8t_RP_MMwN4D_x0nd39RyXrbzXbSx8Agjqw2g</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Yoshikado, Takashi</creator><creator>Toshimoto, Kota</creator><creator>Maeda, Kazuya</creator><creator>Kusuhara, Hiroyuki</creator><creator>Kimoto, Emi</creator><creator>Rodrigues, A. David</creator><creator>Chiba, Koji</creator><creator>Sugiyama, Yuichi</creator><general>John Wiley &amp; Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201811</creationdate><title>PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3</title><author>Yoshikado, Takashi ; Toshimoto, Kota ; Maeda, Kazuya ; Kusuhara, Hiroyuki ; Kimoto, Emi ; Rodrigues, A. David ; Chiba, Koji ; Sugiyama, Yuichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biomarkers</topic><topic>Biosynthesis</topic><topic>Drug dosages</topic><topic>Liver</topic><topic>Risk assessment</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoshikado, Takashi</creatorcontrib><creatorcontrib>Toshimoto, Kota</creatorcontrib><creatorcontrib>Maeda, Kazuya</creatorcontrib><creatorcontrib>Kusuhara, Hiroyuki</creatorcontrib><creatorcontrib>Kimoto, Emi</creatorcontrib><creatorcontrib>Rodrigues, A. David</creatorcontrib><creatorcontrib>Chiba, Koji</creatorcontrib><creatorcontrib>Sugiyama, Yuichi</creatorcontrib><collection>Open Access: Wiley-Blackwell Open Access Journals</collection><collection>Wiley-Blackwell Open Access Backfiles (Open Access)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>CPT: pharmacometrics and systems pharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yoshikado, Takashi</au><au>Toshimoto, Kota</au><au>Maeda, Kazuya</au><au>Kusuhara, Hiroyuki</au><au>Kimoto, Emi</au><au>Rodrigues, A. David</au><au>Chiba, Koji</au><au>Sugiyama, Yuichi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3</atitle><jtitle>CPT: pharmacometrics and systems pharmacology</jtitle><addtitle>CPT Pharmacometrics Syst Pharmacol</addtitle><date>2018-11</date><risdate>2018</risdate><volume>7</volume><issue>11</issue><spage>739</spage><epage>747</epage><pages>739-747</pages><issn>2163-8306</issn><eissn>2163-8306</eissn><abstract>The aim of the present study was to establish a physiologically based pharmacokinetic (PBPK) model for coproporphyrin I (CP‐I), a biomarker supporting the prediction of drug‐drug interactions (DDIs) involving hepatic organic anion transporting polypeptide 1B (OATP1B), using clinical DDI data with an OATP1B inhibitor rifampicin (300 and 600 mg, orally). The in vivo inhibition constants of rifampicin used as initial input parameters for OATP1Bs (Ki,u,OATP1Bs) and multidrug resistance‐associated protein two‐mediated biliary excretion were estimated as 0.23 and 0.87 μM, respectively, from previous reports. Sensitivity analysis demonstrated that the Ki,u,OATP1Bs and biosynthesis rate of CP‐I affected the magnitude of the interaction. Ki,u,OATP1Bs values optimized by nonlinear least‐squares fitting were ~0.5‐fold of the initial value. It was determined that the blood concentration‐time profiles of four statins were well‐predicted using corrected individual Ki,u,OATP1B values (ratio of in vitro Ki,u(statin)/in vitro Ki,u(CP‐I)). In conclusion, PBPK modeling of CP‐I supports dynamic prediction of OATP1B‐mediated DDIs.</abstract><cop>United States</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>30175555</pmid><doi>10.1002/psp4.12348</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2163-8306
ispartof CPT: pharmacometrics and systems pharmacology, 2018-11, Vol.7 (11), p.739-747
issn 2163-8306
2163-8306
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6263667
source Open Access: PubMed Central; Open Access: Wiley-Blackwell Open Access Journals; Publicly Available Content Database
subjects Biomarkers
Biosynthesis
Drug dosages
Liver
Risk assessment
Simulation
title PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T07%3A47%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=PBPK%20Modeling%20of%20Coproporphyrin%20I%20as%20an%20Endogenous%20Biomarker%20for%20Drug%20Interactions%20Involving%20Inhibition%20of%20Hepatic%20OATP1B1%20and%20OATP1B3&rft.jtitle=CPT:%20pharmacometrics%20and%20systems%20pharmacology&rft.au=Yoshikado,%20Takashi&rft.date=2018-11&rft.volume=7&rft.issue=11&rft.spage=739&rft.epage=747&rft.pages=739-747&rft.issn=2163-8306&rft.eissn=2163-8306&rft_id=info:doi/10.1002/psp4.12348&rft_dat=%3Cproquest_pubme%3E2266286475%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c5148-d300d8dcc8b39882967bc45e1c8dbc5f2766fc9c1d72efc256acbfe54d4d34c23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2266286475&rft_id=info:pmid/30175555&rfr_iscdi=true