Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats

Pro-inflammatory factors are important indicators for assessing inflammation severity and drug efficacy. Coptisine has been reported to inhibit LPS-induced TNF-α and NO production. In this study, we aim to build a pharmacokinetic-pharmacodynamic model to quantify the coptisine time course and potenc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Scientific reports 2019-02, Vol.9 (1), p.1450-1450, Article 1450
Hauptverfasser: Hu, Yingfan, Wang, Li, Xiang, Li, Wu, Jiasi, Huang, Wen’ge, Xu, Chensi, Meng, Xianli, Wang, Ping
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1450
container_issue 1
container_start_page 1450
container_title Scientific reports
container_volume 9
creator Hu, Yingfan
Wang, Li
Xiang, Li
Wu, Jiasi
Huang, Wen’ge
Xu, Chensi
Meng, Xianli
Wang, Ping
description Pro-inflammatory factors are important indicators for assessing inflammation severity and drug efficacy. Coptisine has been reported to inhibit LPS-induced TNF-α and NO production. In this study, we aim to build a pharmacokinetic-pharmacodynamic model to quantify the coptisine time course and potency of its anti-inflammatory effect in LPS-stimulated rats. The plasma and lung coptisine concentrations, plasma and lung TNF-α concentrations, plasma NO concentration, and lung iNOS expression were measured in LPS-stimulated rats after intravenous injection of three coptisine doses. The coptisine disposition kinetics were described by a two-compartment model. The coptisine distribution process from the plasma to the lung was described by first-order dynamics. The dynamics of plasma TNF-α generation and elimination followed zero-order kinetics and the Michaelis-Menten equation. A first-order kinetic model described the TNF-α diffusion process from the plasma to the lung. A precursor-pool indirect response model was used to describe the iNOS and NO generation induced by TNF-α. The inhibition rates of TNF-α production by coptisine (54.73%, 26.49%, and 13.25%) calculated from the simulation model were close to the decline rates of the plasma TNF-α AUC (57.27%, 40.33%, and 24.98%, respectively). Coptisine suppressed plasma TNF-α generation in a linear manner, resulting in a cascading reduction of iNOS and NO. The early term TNF-α response to stimulation is a key factor in the subsequent inflammatory cascade. In conclusion, this comprehensive PK-PD model provided a rational explanation for the interlocking relationship among TNF-α, iNOS and NO production triggered by LPS and a quantitative evaluation method for inhibition of TNF-α production by coptisine.
doi_str_mv 10.1038/s41598-018-38164-4
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6363730</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2229078097</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-d2fe6afd9b0353f8d9a3bae0a3657815e8a044f2297391de416aa2052112940b3</originalsourceid><addsrcrecordid>eNp9kU1LXDEUhoNYVKb-ARcl4MZNar7u10aQwbbCSKXWdThzbzITzU2mSa7gv2_qqNUumk0Sznvec14ehI4Y_cyoaE-TZFXXEspaIlpWSyJ30AGnsiJccL775r2PDlO6o-VUvJOs20P7gjalUokDtLpeQxyhD_fW62x78vIfHj2MtsdXYdDO-hU2IeJ52GSbihLP1-Cc9iuNg8GX3jgYR8g2eGw9XlzfkJtsx8lB1gP-ATl9RB8MuKQPn-8Zuv1y8XP-jSy-f72cny9ILxuZycCNrsEM3ZKKSph26EAsQVMQddW0rNItUCkN510jOjZoyWoAXoIxVrLRpZihs63vZlqOeui1zxGc2kQ7QnxUAax6X_F2rVbhQdWiFo2gxeDk2SCGX5NOWY029do58DpMSfEymzYtLQvM0PE_0rswRV_iKc6amle86XhR8a2qjyGlqM3rMoyqPyjVFqUqKNUTSiVL06e3MV5bXsAVgdgKUikVDPHv7P_Y_ga66qpP</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2176252792</pqid></control><display><type>article</type><title>Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats</title><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Hu, Yingfan ; Wang, Li ; Xiang, Li ; Wu, Jiasi ; Huang, Wen’ge ; Xu, Chensi ; Meng, Xianli ; Wang, Ping</creator><creatorcontrib>Hu, Yingfan ; Wang, Li ; Xiang, Li ; Wu, Jiasi ; Huang, Wen’ge ; Xu, Chensi ; Meng, Xianli ; Wang, Ping</creatorcontrib><description>Pro-inflammatory factors are important indicators for assessing inflammation severity and drug efficacy. Coptisine has been reported to inhibit LPS-induced TNF-α and NO production. In this study, we aim to build a pharmacokinetic-pharmacodynamic model to quantify the coptisine time course and potency of its anti-inflammatory effect in LPS-stimulated rats. The plasma and lung coptisine concentrations, plasma and lung TNF-α concentrations, plasma NO concentration, and lung iNOS expression were measured in LPS-stimulated rats after intravenous injection of three coptisine doses. The coptisine disposition kinetics were described by a two-compartment model. The coptisine distribution process from the plasma to the lung was described by first-order dynamics. The dynamics of plasma TNF-α generation and elimination followed zero-order kinetics and the Michaelis-Menten equation. A first-order kinetic model described the TNF-α diffusion process from the plasma to the lung. A precursor-pool indirect response model was used to describe the iNOS and NO generation induced by TNF-α. The inhibition rates of TNF-α production by coptisine (54.73%, 26.49%, and 13.25%) calculated from the simulation model were close to the decline rates of the plasma TNF-α AUC (57.27%, 40.33%, and 24.98%, respectively). Coptisine suppressed plasma TNF-α generation in a linear manner, resulting in a cascading reduction of iNOS and NO. The early term TNF-α response to stimulation is a key factor in the subsequent inflammatory cascade. In conclusion, this comprehensive PK-PD model provided a rational explanation for the interlocking relationship among TNF-α, iNOS and NO production triggered by LPS and a quantitative evaluation method for inhibition of TNF-α production by coptisine.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-018-38164-4</identifier><identifier>PMID: 30723253</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>13/21 ; 631/154/436/1729 ; 631/154/436/2388 ; 82/80 ; Drug efficacy ; Humanities and Social Sciences ; Inflammation ; Intravenous administration ; Lipopolysaccharides ; Lungs ; multidisciplinary ; Nitric-oxide synthase ; Pharmacodynamics ; Pharmacokinetics ; Plasma ; Rodents ; Science ; Science (multidisciplinary) ; Tumor necrosis factor-α</subject><ispartof>Scientific reports, 2019-02, Vol.9 (1), p.1450-1450, Article 1450</ispartof><rights>The Author(s) 2019</rights><rights>This work is published under http://creativecommons.org/licenses/by/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-c474t-d2fe6afd9b0353f8d9a3bae0a3657815e8a044f2297391de416aa2052112940b3</citedby><cites>FETCH-LOGICAL-c474t-d2fe6afd9b0353f8d9a3bae0a3657815e8a044f2297391de416aa2052112940b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363730/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363730/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27923,27924,41119,42188,51575,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30723253$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Yingfan</creatorcontrib><creatorcontrib>Wang, Li</creatorcontrib><creatorcontrib>Xiang, Li</creatorcontrib><creatorcontrib>Wu, Jiasi</creatorcontrib><creatorcontrib>Huang, Wen’ge</creatorcontrib><creatorcontrib>Xu, Chensi</creatorcontrib><creatorcontrib>Meng, Xianli</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><title>Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Pro-inflammatory factors are important indicators for assessing inflammation severity and drug efficacy. Coptisine has been reported to inhibit LPS-induced TNF-α and NO production. In this study, we aim to build a pharmacokinetic-pharmacodynamic model to quantify the coptisine time course and potency of its anti-inflammatory effect in LPS-stimulated rats. The plasma and lung coptisine concentrations, plasma and lung TNF-α concentrations, plasma NO concentration, and lung iNOS expression were measured in LPS-stimulated rats after intravenous injection of three coptisine doses. The coptisine disposition kinetics were described by a two-compartment model. The coptisine distribution process from the plasma to the lung was described by first-order dynamics. The dynamics of plasma TNF-α generation and elimination followed zero-order kinetics and the Michaelis-Menten equation. A first-order kinetic model described the TNF-α diffusion process from the plasma to the lung. A precursor-pool indirect response model was used to describe the iNOS and NO generation induced by TNF-α. The inhibition rates of TNF-α production by coptisine (54.73%, 26.49%, and 13.25%) calculated from the simulation model were close to the decline rates of the plasma TNF-α AUC (57.27%, 40.33%, and 24.98%, respectively). Coptisine suppressed plasma TNF-α generation in a linear manner, resulting in a cascading reduction of iNOS and NO. The early term TNF-α response to stimulation is a key factor in the subsequent inflammatory cascade. In conclusion, this comprehensive PK-PD model provided a rational explanation for the interlocking relationship among TNF-α, iNOS and NO production triggered by LPS and a quantitative evaluation method for inhibition of TNF-α production by coptisine.</description><subject>13/21</subject><subject>631/154/436/1729</subject><subject>631/154/436/2388</subject><subject>82/80</subject><subject>Drug efficacy</subject><subject>Humanities and Social Sciences</subject><subject>Inflammation</subject><subject>Intravenous administration</subject><subject>Lipopolysaccharides</subject><subject>Lungs</subject><subject>multidisciplinary</subject><subject>Nitric-oxide synthase</subject><subject>Pharmacodynamics</subject><subject>Pharmacokinetics</subject><subject>Plasma</subject><subject>Rodents</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Tumor necrosis factor-α</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1LXDEUhoNYVKb-ARcl4MZNar7u10aQwbbCSKXWdThzbzITzU2mSa7gv2_qqNUumk0Sznvec14ehI4Y_cyoaE-TZFXXEspaIlpWSyJ30AGnsiJccL775r2PDlO6o-VUvJOs20P7gjalUokDtLpeQxyhD_fW62x78vIfHj2MtsdXYdDO-hU2IeJ52GSbihLP1-Cc9iuNg8GX3jgYR8g2eGw9XlzfkJtsx8lB1gP-ATl9RB8MuKQPn-8Zuv1y8XP-jSy-f72cny9ILxuZycCNrsEM3ZKKSph26EAsQVMQddW0rNItUCkN510jOjZoyWoAXoIxVrLRpZihs63vZlqOeui1zxGc2kQ7QnxUAax6X_F2rVbhQdWiFo2gxeDk2SCGX5NOWY029do58DpMSfEymzYtLQvM0PE_0rswRV_iKc6amle86XhR8a2qjyGlqM3rMoyqPyjVFqUqKNUTSiVL06e3MV5bXsAVgdgKUikVDPHv7P_Y_ga66qpP</recordid><startdate>20190205</startdate><enddate>20190205</enddate><creator>Hu, Yingfan</creator><creator>Wang, Li</creator><creator>Xiang, Li</creator><creator>Wu, Jiasi</creator><creator>Huang, Wen’ge</creator><creator>Xu, Chensi</creator><creator>Meng, Xianli</creator><creator>Wang, Ping</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190205</creationdate><title>Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats</title><author>Hu, Yingfan ; Wang, Li ; Xiang, Li ; Wu, Jiasi ; Huang, Wen’ge ; Xu, Chensi ; Meng, Xianli ; Wang, Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-d2fe6afd9b0353f8d9a3bae0a3657815e8a044f2297391de416aa2052112940b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>13/21</topic><topic>631/154/436/1729</topic><topic>631/154/436/2388</topic><topic>82/80</topic><topic>Drug efficacy</topic><topic>Humanities and Social Sciences</topic><topic>Inflammation</topic><topic>Intravenous administration</topic><topic>Lipopolysaccharides</topic><topic>Lungs</topic><topic>multidisciplinary</topic><topic>Nitric-oxide synthase</topic><topic>Pharmacodynamics</topic><topic>Pharmacokinetics</topic><topic>Plasma</topic><topic>Rodents</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Tumor necrosis factor-α</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Yingfan</creatorcontrib><creatorcontrib>Wang, Li</creatorcontrib><creatorcontrib>Xiang, Li</creatorcontrib><creatorcontrib>Wu, Jiasi</creatorcontrib><creatorcontrib>Huang, Wen’ge</creatorcontrib><creatorcontrib>Xu, Chensi</creatorcontrib><creatorcontrib>Meng, Xianli</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database (ProQuest)</collection><collection>Biological Science Database</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Yingfan</au><au>Wang, Li</au><au>Xiang, Li</au><au>Wu, Jiasi</au><au>Huang, Wen’ge</au><au>Xu, Chensi</au><au>Meng, Xianli</au><au>Wang, Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-02-05</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>1450</spage><epage>1450</epage><pages>1450-1450</pages><artnum>1450</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Pro-inflammatory factors are important indicators for assessing inflammation severity and drug efficacy. Coptisine has been reported to inhibit LPS-induced TNF-α and NO production. In this study, we aim to build a pharmacokinetic-pharmacodynamic model to quantify the coptisine time course and potency of its anti-inflammatory effect in LPS-stimulated rats. The plasma and lung coptisine concentrations, plasma and lung TNF-α concentrations, plasma NO concentration, and lung iNOS expression were measured in LPS-stimulated rats after intravenous injection of three coptisine doses. The coptisine disposition kinetics were described by a two-compartment model. The coptisine distribution process from the plasma to the lung was described by first-order dynamics. The dynamics of plasma TNF-α generation and elimination followed zero-order kinetics and the Michaelis-Menten equation. A first-order kinetic model described the TNF-α diffusion process from the plasma to the lung. A precursor-pool indirect response model was used to describe the iNOS and NO generation induced by TNF-α. The inhibition rates of TNF-α production by coptisine (54.73%, 26.49%, and 13.25%) calculated from the simulation model were close to the decline rates of the plasma TNF-α AUC (57.27%, 40.33%, and 24.98%, respectively). Coptisine suppressed plasma TNF-α generation in a linear manner, resulting in a cascading reduction of iNOS and NO. The early term TNF-α response to stimulation is a key factor in the subsequent inflammatory cascade. In conclusion, this comprehensive PK-PD model provided a rational explanation for the interlocking relationship among TNF-α, iNOS and NO production triggered by LPS and a quantitative evaluation method for inhibition of TNF-α production by coptisine.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30723253</pmid><doi>10.1038/s41598-018-38164-4</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2045-2322
ispartof Scientific reports, 2019-02, Vol.9 (1), p.1450-1450, Article 1450
issn 2045-2322
2045-2322
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6363730
source DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects 13/21
631/154/436/1729
631/154/436/2388
82/80
Drug efficacy
Humanities and Social Sciences
Inflammation
Intravenous administration
Lipopolysaccharides
Lungs
multidisciplinary
Nitric-oxide synthase
Pharmacodynamics
Pharmacokinetics
Plasma
Rodents
Science
Science (multidisciplinary)
Tumor necrosis factor-α
title Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T08%3A52%3A35IST&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=Pharmacokinetic-Pharmacodynamic%20Modeling%20for%20Coptisine%20Challenge%20of%20Inflammation%20in%20LPS-Stimulated%20Rats&rft.jtitle=Scientific%20reports&rft.au=Hu,%20Yingfan&rft.date=2019-02-05&rft.volume=9&rft.issue=1&rft.spage=1450&rft.epage=1450&rft.pages=1450-1450&rft.artnum=1450&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-018-38164-4&rft_dat=%3Cproquest_pubme%3E2229078097%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2176252792&rft_id=info:pmid/30723253&rfr_iscdi=true