Drug effects on the CVS in conscious rats: separating cardiac output into heart rate and stroke volume using PKPD modelling
Background and Purpose Previously, a systems pharmacology model was developed characterizing drug effects on the interrelationship between mean arterial pressure (MAP), cardiac output (CO) and total peripheral resistance (TPR). The present investigation aims to (i) extend the previously developed mo...
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creator | Snelder, N Ploeger, B A Luttringer, O Rigel, D F Fu, F Beil, M Stanski, D R Danhof, M |
description | Background and Purpose
Previously, a systems pharmacology model was developed characterizing drug effects on the interrelationship between mean arterial pressure (MAP), cardiac output (CO) and total peripheral resistance (TPR). The present investigation aims to (i) extend the previously developed model by parsing CO into heart rate (HR) and stroke volume (SV) and (ii) evaluate if the mechanism of action (MoA) of new compounds can be elucidated using only HR and MAP measurements.
Experimental Approach
Cardiovascular effects of eight drugs with diverse MoAs (amiloride, amlodipine, atropine, enalapril, fasudil, hydrochlorothiazide, prazosin and propranolol) were characterized in spontaneously hypertensive rats (SHR) and normotensive Wistar‐Kyoto (WKY) rats following single administrations of a range of doses. Rats were instrumented with ascending aortic flow probes and aortic catheters/radiotransmitters for continuous recording of MAP, HR and CO throughout the experiments. Data were analysed in conjunction with independent information on the time course of the drug concentration following a mechanism‐based pharmacokinetic‐pharmacodynamic modelling approach.
Key Results
The extended model, which quantified changes in TPR, HR and SV with negative feedback through MAP, adequately described the cardiovascular effects of the drugs while accounting for circadian variations and handling effects.
Conclusions and Implications
A systems pharmacology model characterizing the interrelationship between MAP, CO, HR, SV and TPR was obtained in hypertensive and normotensive rats. This extended model can quantify dynamic changes in the CVS and elucidate the MoA for novel compounds, with one site of action, using only HR and MAP measurements. Whether the model can be applied for compounds with a more complex MoA remains to be established. |
doi_str_mv | 10.1111/bph.12824 |
format | Article |
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Previously, a systems pharmacology model was developed characterizing drug effects on the interrelationship between mean arterial pressure (MAP), cardiac output (CO) and total peripheral resistance (TPR). The present investigation aims to (i) extend the previously developed model by parsing CO into heart rate (HR) and stroke volume (SV) and (ii) evaluate if the mechanism of action (MoA) of new compounds can be elucidated using only HR and MAP measurements.
Experimental Approach
Cardiovascular effects of eight drugs with diverse MoAs (amiloride, amlodipine, atropine, enalapril, fasudil, hydrochlorothiazide, prazosin and propranolol) were characterized in spontaneously hypertensive rats (SHR) and normotensive Wistar‐Kyoto (WKY) rats following single administrations of a range of doses. Rats were instrumented with ascending aortic flow probes and aortic catheters/radiotransmitters for continuous recording of MAP, HR and CO throughout the experiments. Data were analysed in conjunction with independent information on the time course of the drug concentration following a mechanism‐based pharmacokinetic‐pharmacodynamic modelling approach.
Key Results
The extended model, which quantified changes in TPR, HR and SV with negative feedback through MAP, adequately described the cardiovascular effects of the drugs while accounting for circadian variations and handling effects.
Conclusions and Implications
A systems pharmacology model characterizing the interrelationship between MAP, CO, HR, SV and TPR was obtained in hypertensive and normotensive rats. This extended model can quantify dynamic changes in the CVS and elucidate the MoA for novel compounds, with one site of action, using only HR and MAP measurements. Whether the model can be applied for compounds with a more complex MoA remains to be established.</description><identifier>ISSN: 0007-1188</identifier><identifier>ISSN: 1476-5381</identifier><identifier>EISSN: 1476-5381</identifier><identifier>DOI: 10.1111/bph.12824</identifier><identifier>PMID: 24962208</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - analogs & derivatives ; 1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacokinetics ; 1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacology ; Amiloride - pharmacokinetics ; Amiloride - pharmacology ; Amlodipine - pharmacokinetics ; Amlodipine - pharmacology ; Animals ; Atropine - pharmacokinetics ; Atropine - pharmacology ; Enalapril - pharmacokinetics ; Enalapril - pharmacology ; Heart rate ; Hemodynamics - drug effects ; Hydrochlorothiazide - pharmacokinetics ; Hydrochlorothiazide - pharmacology ; Hypertension - metabolism ; Male ; Models, Biological ; Prazosin - pharmacokinetics ; Prazosin - pharmacology ; Propranolol - pharmacokinetics ; Propranolol - pharmacology ; Rats, Inbred SHR ; Rats, Inbred WKY ; Research Papers ; Rodents</subject><ispartof>British journal of pharmacology, 2014-11, Vol.171 (22), p.5076-5092</ispartof><rights>2014 The British Pharmacological Society</rights><rights>2014 The British Pharmacological Society.</rights><rights>Copyright © 2014 The British Pharmacological Society</rights><rights>2014 The British Pharmacological Society 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5534-722cae9ee9b0ba24afaf7704af183a1d845e8622c61607b4de78ec7c499ea0bf3</citedby><cites>FETCH-LOGICAL-c5534-722cae9ee9b0ba24afaf7704af183a1d845e8622c61607b4de78ec7c499ea0bf3</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/PMC4253457/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253457/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24962208$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Snelder, N</creatorcontrib><creatorcontrib>Ploeger, B A</creatorcontrib><creatorcontrib>Luttringer, O</creatorcontrib><creatorcontrib>Rigel, D F</creatorcontrib><creatorcontrib>Fu, F</creatorcontrib><creatorcontrib>Beil, M</creatorcontrib><creatorcontrib>Stanski, D R</creatorcontrib><creatorcontrib>Danhof, M</creatorcontrib><title>Drug effects on the CVS in conscious rats: separating cardiac output into heart rate and stroke volume using PKPD modelling</title><title>British journal of pharmacology</title><addtitle>Br J Pharmacol</addtitle><description>Background and Purpose
Previously, a systems pharmacology model was developed characterizing drug effects on the interrelationship between mean arterial pressure (MAP), cardiac output (CO) and total peripheral resistance (TPR). The present investigation aims to (i) extend the previously developed model by parsing CO into heart rate (HR) and stroke volume (SV) and (ii) evaluate if the mechanism of action (MoA) of new compounds can be elucidated using only HR and MAP measurements.
Experimental Approach
Cardiovascular effects of eight drugs with diverse MoAs (amiloride, amlodipine, atropine, enalapril, fasudil, hydrochlorothiazide, prazosin and propranolol) were characterized in spontaneously hypertensive rats (SHR) and normotensive Wistar‐Kyoto (WKY) rats following single administrations of a range of doses. Rats were instrumented with ascending aortic flow probes and aortic catheters/radiotransmitters for continuous recording of MAP, HR and CO throughout the experiments. Data were analysed in conjunction with independent information on the time course of the drug concentration following a mechanism‐based pharmacokinetic‐pharmacodynamic modelling approach.
Key Results
The extended model, which quantified changes in TPR, HR and SV with negative feedback through MAP, adequately described the cardiovascular effects of the drugs while accounting for circadian variations and handling effects.
Conclusions and Implications
A systems pharmacology model characterizing the interrelationship between MAP, CO, HR, SV and TPR was obtained in hypertensive and normotensive rats. This extended model can quantify dynamic changes in the CVS and elucidate the MoA for novel compounds, with one site of action, using only HR and MAP measurements. Whether the model can be applied for compounds with a more complex MoA remains to be established.</description><subject>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - analogs & derivatives</subject><subject>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacokinetics</subject><subject>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacology</subject><subject>Amiloride - pharmacokinetics</subject><subject>Amiloride - pharmacology</subject><subject>Amlodipine - pharmacokinetics</subject><subject>Amlodipine - pharmacology</subject><subject>Animals</subject><subject>Atropine - pharmacokinetics</subject><subject>Atropine - pharmacology</subject><subject>Enalapril - pharmacokinetics</subject><subject>Enalapril - pharmacology</subject><subject>Heart rate</subject><subject>Hemodynamics - drug effects</subject><subject>Hydrochlorothiazide - pharmacokinetics</subject><subject>Hydrochlorothiazide - pharmacology</subject><subject>Hypertension - metabolism</subject><subject>Male</subject><subject>Models, Biological</subject><subject>Prazosin - pharmacokinetics</subject><subject>Prazosin - pharmacology</subject><subject>Propranolol - pharmacokinetics</subject><subject>Propranolol - pharmacology</subject><subject>Rats, Inbred SHR</subject><subject>Rats, Inbred WKY</subject><subject>Research Papers</subject><subject>Rodents</subject><issn>0007-1188</issn><issn>1476-5381</issn><issn>1476-5381</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kV9vFCEUxYmxsdvqg1_AkPhiH6YFlhkYH5roVtvGJm7in1fCMHd2qTMwAlPT-OVl3LZRE3m5kPvjcA8HoeeUHNO8Tppxe0yZZPwRWlAuqqJcSvoYLQghoqBUyn10EOM1Ibkpyidon_G6YozIBfp5FqYNhq4DkyL2Dqct4NXXT9g6bLyLxvop4qBTfI0jjDrvrNtgo0NrtcF-SuOUMpw83oIOaUYBa9fimIL_BvjG99MAeIrztfWH9RkefAt9n49P0V6n-wjP7uoh-vL-3efVRXH18fxy9eaqMGW55IVgzGioAeqGNJpx3elOCJIrlUtNW8lLkNmOqWhFRMNbEBKMMLyuQZOmWx6i053uODUDtAZcCrpXY7CDDrfKa6v-7ji7VRt_ozjL75ciC7y6Ewj--wQxqcFGk01oB_l7FK2opJwJNqMv_0Gv_RRctqeoqERdMiFm6mhHmeBjDNA9DEOJmiNVOVL1O9LMvvhz-gfyPsMMnOyAH7aH2_8rqbfri53kL88GrNM</recordid><startdate>201411</startdate><enddate>201411</enddate><creator>Snelder, N</creator><creator>Ploeger, B A</creator><creator>Luttringer, O</creator><creator>Rigel, D F</creator><creator>Fu, F</creator><creator>Beil, M</creator><creator>Stanski, D R</creator><creator>Danhof, M</creator><general>Blackwell Publishing Ltd</general><general>BlackWell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201411</creationdate><title>Drug effects on the CVS in conscious rats: separating cardiac output into heart rate and stroke volume using PKPD modelling</title><author>Snelder, N ; Ploeger, B A ; Luttringer, O ; Rigel, D F ; Fu, F ; Beil, M ; Stanski, D R ; Danhof, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5534-722cae9ee9b0ba24afaf7704af183a1d845e8622c61607b4de78ec7c499ea0bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - analogs & derivatives</topic><topic>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacokinetics</topic><topic>1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacology</topic><topic>Amiloride - pharmacokinetics</topic><topic>Amiloride - pharmacology</topic><topic>Amlodipine - pharmacokinetics</topic><topic>Amlodipine - pharmacology</topic><topic>Animals</topic><topic>Atropine - pharmacokinetics</topic><topic>Atropine - pharmacology</topic><topic>Enalapril - pharmacokinetics</topic><topic>Enalapril - pharmacology</topic><topic>Heart rate</topic><topic>Hemodynamics - drug effects</topic><topic>Hydrochlorothiazide - pharmacokinetics</topic><topic>Hydrochlorothiazide - pharmacology</topic><topic>Hypertension - metabolism</topic><topic>Male</topic><topic>Models, Biological</topic><topic>Prazosin - pharmacokinetics</topic><topic>Prazosin - pharmacology</topic><topic>Propranolol - pharmacokinetics</topic><topic>Propranolol - pharmacology</topic><topic>Rats, Inbred SHR</topic><topic>Rats, Inbred WKY</topic><topic>Research Papers</topic><topic>Rodents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Snelder, N</creatorcontrib><creatorcontrib>Ploeger, B A</creatorcontrib><creatorcontrib>Luttringer, O</creatorcontrib><creatorcontrib>Rigel, D F</creatorcontrib><creatorcontrib>Fu, F</creatorcontrib><creatorcontrib>Beil, M</creatorcontrib><creatorcontrib>Stanski, D R</creatorcontrib><creatorcontrib>Danhof, M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of pharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Snelder, N</au><au>Ploeger, B A</au><au>Luttringer, O</au><au>Rigel, D F</au><au>Fu, F</au><au>Beil, M</au><au>Stanski, D R</au><au>Danhof, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Drug effects on the CVS in conscious rats: separating cardiac output into heart rate and stroke volume using PKPD modelling</atitle><jtitle>British journal of pharmacology</jtitle><addtitle>Br J Pharmacol</addtitle><date>2014-11</date><risdate>2014</risdate><volume>171</volume><issue>22</issue><spage>5076</spage><epage>5092</epage><pages>5076-5092</pages><issn>0007-1188</issn><issn>1476-5381</issn><eissn>1476-5381</eissn><abstract>Background and Purpose
Previously, a systems pharmacology model was developed characterizing drug effects on the interrelationship between mean arterial pressure (MAP), cardiac output (CO) and total peripheral resistance (TPR). The present investigation aims to (i) extend the previously developed model by parsing CO into heart rate (HR) and stroke volume (SV) and (ii) evaluate if the mechanism of action (MoA) of new compounds can be elucidated using only HR and MAP measurements.
Experimental Approach
Cardiovascular effects of eight drugs with diverse MoAs (amiloride, amlodipine, atropine, enalapril, fasudil, hydrochlorothiazide, prazosin and propranolol) were characterized in spontaneously hypertensive rats (SHR) and normotensive Wistar‐Kyoto (WKY) rats following single administrations of a range of doses. Rats were instrumented with ascending aortic flow probes and aortic catheters/radiotransmitters for continuous recording of MAP, HR and CO throughout the experiments. Data were analysed in conjunction with independent information on the time course of the drug concentration following a mechanism‐based pharmacokinetic‐pharmacodynamic modelling approach.
Key Results
The extended model, which quantified changes in TPR, HR and SV with negative feedback through MAP, adequately described the cardiovascular effects of the drugs while accounting for circadian variations and handling effects.
Conclusions and Implications
A systems pharmacology model characterizing the interrelationship between MAP, CO, HR, SV and TPR was obtained in hypertensive and normotensive rats. This extended model can quantify dynamic changes in the CVS and elucidate the MoA for novel compounds, with one site of action, using only HR and MAP measurements. Whether the model can be applied for compounds with a more complex MoA remains to be established.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>24962208</pmid><doi>10.1111/bph.12824</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - analogs & derivatives 1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacokinetics 1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine - pharmacology Amiloride - pharmacokinetics Amiloride - pharmacology Amlodipine - pharmacokinetics Amlodipine - pharmacology Animals Atropine - pharmacokinetics Atropine - pharmacology Enalapril - pharmacokinetics Enalapril - pharmacology Heart rate Hemodynamics - drug effects Hydrochlorothiazide - pharmacokinetics Hydrochlorothiazide - pharmacology Hypertension - metabolism Male Models, Biological Prazosin - pharmacokinetics Prazosin - pharmacology Propranolol - pharmacokinetics Propranolol - pharmacology Rats, Inbred SHR Rats, Inbred WKY Research Papers Rodents |
title | Drug effects on the CVS in conscious rats: separating cardiac output into heart rate and stroke volume using PKPD modelling |
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