Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study

Introduction Intravenous lipid emulsions (ILE) have been credited for successful resuscitation in drug intoxication cases where other cardiac life-support methods have failed. However, inter-individual variability can function as a confounder that challenges our ability to define the scope of effica...

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Veröffentlicht in:Drugs in R&D 2021-09, Vol.21 (3), p.305-320
Hauptverfasser: McDaniel, Matthew, Flores, Kevin B., Akpa, Belinda S.
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Akpa, Belinda S.
description Introduction Intravenous lipid emulsions (ILE) have been credited for successful resuscitation in drug intoxication cases where other cardiac life-support methods have failed. However, inter-individual variability can function as a confounder that challenges our ability to define the scope of efficacy for lipid interventions, particularly as relevant data are scarce. To address this challenge, we developed a quantitative systems pharmacology model to predict outcome variability and shed light on causal mechanisms in a virtual population of rats subjected to bupivacaine toxicity and ILE intervention. Materials and Methods We combined a physiologically based pharmacokinetic–pharmacodynamic model with data from a small study in Sprague-Dawley rats to characterize individual-specific cardiac responses to lipid infusion. We used the resulting individual parameter estimates to posit a population distribution of responses to lipid infusion. On that basis, we constructed a large virtual population of rats ( N  = 10,000) undergoing lipid therapy following bupivacaine cardiotoxicity. Results Using unsupervised clustering to assign resuscitation endpoints, our simulations predicted that treatment with a 30% lipid emulsion increases bupivacaine median lethal dose (LD 50 ) by 46% when compared with a simulated control fluid. Prior experimental findings indicated an LD 50 increase of 48%. Causal analysis of the population data suggested that muscle accumulation rather than liver accumulation of bupivacaine drives survival outcomes. Conclusion Our results represent a successful prediction of complex, dynamic physiological outcomes over a virtual population. Despite being informed by very limited data, our mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD 50 when extrapolated to putatively toxic doses of bupivacaine. Furthermore, causal analysis of the predicted survival outcomes indicated a critical synergy between scavenging and direct cardiotonic mechanisms of ILE action.
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However, inter-individual variability can function as a confounder that challenges our ability to define the scope of efficacy for lipid interventions, particularly as relevant data are scarce. To address this challenge, we developed a quantitative systems pharmacology model to predict outcome variability and shed light on causal mechanisms in a virtual population of rats subjected to bupivacaine toxicity and ILE intervention. Materials and Methods We combined a physiologically based pharmacokinetic–pharmacodynamic model with data from a small study in Sprague-Dawley rats to characterize individual-specific cardiac responses to lipid infusion. We used the resulting individual parameter estimates to posit a population distribution of responses to lipid infusion. On that basis, we constructed a large virtual population of rats ( N  = 10,000) undergoing lipid therapy following bupivacaine cardiotoxicity. Results Using unsupervised clustering to assign resuscitation endpoints, our simulations predicted that treatment with a 30% lipid emulsion increases bupivacaine median lethal dose (LD 50 ) by 46% when compared with a simulated control fluid. Prior experimental findings indicated an LD 50 increase of 48%. Causal analysis of the population data suggested that muscle accumulation rather than liver accumulation of bupivacaine drives survival outcomes. Conclusion Our results represent a successful prediction of complex, dynamic physiological outcomes over a virtual population. Despite being informed by very limited data, our mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD 50 when extrapolated to putatively toxic doses of bupivacaine. Furthermore, causal analysis of the predicted survival outcomes indicated a critical synergy between scavenging and direct cardiotonic mechanisms of ILE action.</description><identifier>ISSN: 1174-5886</identifier><identifier>EISSN: 1179-6901</identifier><identifier>DOI: 10.1007/s40268-021-00353-4</identifier><identifier>PMID: 34279844</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>60 APPLIED LIFE SCIENCES ; Internal Medicine ; Medicine ; Medicine &amp; Public Health ; Original ; Original Research Article ; Pharmacology/Toxicology ; Pharmacotherapy</subject><ispartof>Drugs in R&amp;D, 2021-09, Vol.21 (3), p.305-320</ispartof><rights>UT-Battelle, LLC 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-532972c5031a033e828c8a3136d7067f59968eb837bd7578555ab75fc8789e503</citedby><cites>FETCH-LOGICAL-c450t-532972c5031a033e828c8a3136d7067f59968eb837bd7578555ab75fc8789e503</cites><orcidid>0000-0002-6098-7113 ; 0000-0002-4000-6971 ; 0000000240006971 ; 0000000260987113</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363697/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363697/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1808620$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>McDaniel, Matthew</creatorcontrib><creatorcontrib>Flores, Kevin B.</creatorcontrib><creatorcontrib>Akpa, Belinda S.</creatorcontrib><creatorcontrib>Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)</creatorcontrib><title>Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study</title><title>Drugs in R&amp;D</title><addtitle>Drugs R D</addtitle><description>Introduction Intravenous lipid emulsions (ILE) have been credited for successful resuscitation in drug intoxication cases where other cardiac life-support methods have failed. However, inter-individual variability can function as a confounder that challenges our ability to define the scope of efficacy for lipid interventions, particularly as relevant data are scarce. To address this challenge, we developed a quantitative systems pharmacology model to predict outcome variability and shed light on causal mechanisms in a virtual population of rats subjected to bupivacaine toxicity and ILE intervention. Materials and Methods We combined a physiologically based pharmacokinetic–pharmacodynamic model with data from a small study in Sprague-Dawley rats to characterize individual-specific cardiac responses to lipid infusion. We used the resulting individual parameter estimates to posit a population distribution of responses to lipid infusion. On that basis, we constructed a large virtual population of rats ( N  = 10,000) undergoing lipid therapy following bupivacaine cardiotoxicity. Results Using unsupervised clustering to assign resuscitation endpoints, our simulations predicted that treatment with a 30% lipid emulsion increases bupivacaine median lethal dose (LD 50 ) by 46% when compared with a simulated control fluid. Prior experimental findings indicated an LD 50 increase of 48%. Causal analysis of the population data suggested that muscle accumulation rather than liver accumulation of bupivacaine drives survival outcomes. Conclusion Our results represent a successful prediction of complex, dynamic physiological outcomes over a virtual population. Despite being informed by very limited data, our mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD 50 when extrapolated to putatively toxic doses of bupivacaine. Furthermore, causal analysis of the predicted survival outcomes indicated a critical synergy between scavenging and direct cardiotonic mechanisms of ILE action.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Original</subject><subject>Original Research Article</subject><subject>Pharmacology/Toxicology</subject><subject>Pharmacotherapy</subject><issn>1174-5886</issn><issn>1179-6901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kctu1TAURSMEog_4AUYWc4Mdx48wQCq30Fa6iKpAp5ZjO-2pUjuynavej-CfSZqqEhNGtuSz1pH3rqp3lHyghMiPuSG1UJjUFBPCOMPNi-qQUtli0RL68vHeYK6UOKiOcr4jhFAm1OvqgDW1bFXTHFZ_LpN3YAuEG3QRik8YgoMduMkM6NokMB0MUPbodErLzBZGcOjK5ylbKKZADCj26Ms0ws5YA8GjjUkOYokPYBcQAroyJX9CJ-gaUlm8l3GchpX9Hp0fFvHPMrn9m-pVb4bs3z6dx9Xvb19_bc7x9sfZxeZki23DScGc1a2sLSeMGsKYV7WyyrD5c04SIXvetkL5TjHZOcml4pybTvLeKqlaP2PH1efVO07dvXfWh5LMoMcE9ybtdTSg_30JcKtv4k4rJpho5Sx4vwpiLqCXKLy9tTEEb4umiihRL1vqdcimmHPy_fMCSvTSoF4b1HOD-rFB3cwQW6E8LoH7pO_ilMKcxv-ovy9Rn6s</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>McDaniel, Matthew</creator><creator>Flores, Kevin B.</creator><creator>Akpa, Belinda S.</creator><general>Springer International Publishing</general><general>Springer</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6098-7113</orcidid><orcidid>https://orcid.org/0000-0002-4000-6971</orcidid><orcidid>https://orcid.org/0000000240006971</orcidid><orcidid>https://orcid.org/0000000260987113</orcidid></search><sort><creationdate>20210901</creationdate><title>Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study</title><author>McDaniel, Matthew ; Flores, Kevin B. ; Akpa, Belinda S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-532972c5031a033e828c8a3136d7067f59968eb837bd7578555ab75fc8789e503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Original</topic><topic>Original Research Article</topic><topic>Pharmacology/Toxicology</topic><topic>Pharmacotherapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDaniel, Matthew</creatorcontrib><creatorcontrib>Flores, Kevin B.</creatorcontrib><creatorcontrib>Akpa, Belinda S.</creatorcontrib><creatorcontrib>Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Drugs in R&amp;D</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McDaniel, Matthew</au><au>Flores, Kevin B.</au><au>Akpa, Belinda S.</au><aucorp>Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study</atitle><jtitle>Drugs in R&amp;D</jtitle><stitle>Drugs R D</stitle><date>2021-09-01</date><risdate>2021</risdate><volume>21</volume><issue>3</issue><spage>305</spage><epage>320</epage><pages>305-320</pages><issn>1174-5886</issn><eissn>1179-6901</eissn><abstract>Introduction Intravenous lipid emulsions (ILE) have been credited for successful resuscitation in drug intoxication cases where other cardiac life-support methods have failed. However, inter-individual variability can function as a confounder that challenges our ability to define the scope of efficacy for lipid interventions, particularly as relevant data are scarce. To address this challenge, we developed a quantitative systems pharmacology model to predict outcome variability and shed light on causal mechanisms in a virtual population of rats subjected to bupivacaine toxicity and ILE intervention. Materials and Methods We combined a physiologically based pharmacokinetic–pharmacodynamic model with data from a small study in Sprague-Dawley rats to characterize individual-specific cardiac responses to lipid infusion. We used the resulting individual parameter estimates to posit a population distribution of responses to lipid infusion. On that basis, we constructed a large virtual population of rats ( N  = 10,000) undergoing lipid therapy following bupivacaine cardiotoxicity. Results Using unsupervised clustering to assign resuscitation endpoints, our simulations predicted that treatment with a 30% lipid emulsion increases bupivacaine median lethal dose (LD 50 ) by 46% when compared with a simulated control fluid. Prior experimental findings indicated an LD 50 increase of 48%. Causal analysis of the population data suggested that muscle accumulation rather than liver accumulation of bupivacaine drives survival outcomes. Conclusion Our results represent a successful prediction of complex, dynamic physiological outcomes over a virtual population. Despite being informed by very limited data, our mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD 50 when extrapolated to putatively toxic doses of bupivacaine. 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subjects 60 APPLIED LIFE SCIENCES
Internal Medicine
Medicine
Medicine & Public Health
Original
Original Research Article
Pharmacology/Toxicology
Pharmacotherapy
title Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study
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