Jeffrey E Ming, Ruth E Abrams, Derek W Bartlett, Mengdi Tao, Tu Nguyen, Howard Surks, Katherine Kudrycki, Ananth Kadambi, Christina M Friedrich, Nassim Djebli, Britta Goebel, Alex Koszycki, Meera Varshnaya, Joseph Elassal, Poulabi Banerjee, William J Sasiela, Michael J Reed, Jeffrey S Barrett, Karim Azer
{"title":"研究Alirocumab和降胆固醇疗法对血脂和斑块特征影响的定量系统药理学平台。","authors":"Jeffrey E Ming, Ruth E Abrams, Derek W Bartlett, Mengdi Tao, Tu Nguyen, Howard Surks, Katherine Kudrycki, Ananth Kadambi, Christina M Friedrich, Nassim Djebli, Britta Goebel, Alex Koszycki, Meera Varshnaya, Joseph Elassal, Poulabi Banerjee, William J Sasiela, Michael J Reed, Jeffrey S Barrett, Karim Azer","doi":"10.1177/1177625017710941","DOIUrl":null,"url":null,"abstract":"<p><p>Reduction in low-density lipoprotein cholesterol (LDL-C) is associated with decreased risk for cardiovascular disease. Alirocumab, an antibody to proprotein convertase subtilisin/kexin type 9 (PCSK9), significantly reduces LDL-C. Here, we report development of a quantitative systems pharmacology (QSP) model integrating peripheral and liver cholesterol metabolism, as well as PCSK9 function, to examine the mechanisms of action of alirocumab and other lipid-lowering therapies, including statins. The model predicts changes in LDL-C and other lipids that are consistent with effects observed in clinical trials of single or combined treatments of alirocumab and other treatments. An exploratory model to examine the effects of lipid levels on plaque dynamics was also developed. The QSP platform, on further development and qualification, may support dose optimization and clinical trial design for PCSK9 inhibitors and lipid-modulating drugs. It may also improve our understanding of factors affecting therapeutic responses in different phenotypes of dyslipidemia and cardiovascular disease.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"11 ","pages":"1177625017710941"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1177625017710941","citationCount":"12","resultStr":"{\"title\":\"A Quantitative Systems Pharmacology Platform to Investigate the Impact of Alirocumab and Cholesterol-Lowering Therapies on Lipid Profiles and Plaque Characteristics.\",\"authors\":\"Jeffrey E Ming, Ruth E Abrams, Derek W Bartlett, Mengdi Tao, Tu Nguyen, Howard Surks, Katherine Kudrycki, Ananth Kadambi, Christina M Friedrich, Nassim Djebli, Britta Goebel, Alex Koszycki, Meera Varshnaya, Joseph Elassal, Poulabi Banerjee, William J Sasiela, Michael J Reed, Jeffrey S Barrett, Karim Azer\",\"doi\":\"10.1177/1177625017710941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Reduction in low-density lipoprotein cholesterol (LDL-C) is associated with decreased risk for cardiovascular disease. Alirocumab, an antibody to proprotein convertase subtilisin/kexin type 9 (PCSK9), significantly reduces LDL-C. Here, we report development of a quantitative systems pharmacology (QSP) model integrating peripheral and liver cholesterol metabolism, as well as PCSK9 function, to examine the mechanisms of action of alirocumab and other lipid-lowering therapies, including statins. The model predicts changes in LDL-C and other lipids that are consistent with effects observed in clinical trials of single or combined treatments of alirocumab and other treatments. An exploratory model to examine the effects of lipid levels on plaque dynamics was also developed. The QSP platform, on further development and qualification, may support dose optimization and clinical trial design for PCSK9 inhibitors and lipid-modulating drugs. It may also improve our understanding of factors affecting therapeutic responses in different phenotypes of dyslipidemia and cardiovascular disease.</p>\",\"PeriodicalId\":73138,\"journal\":{\"name\":\"Gene regulation and systems biology\",\"volume\":\"11 \",\"pages\":\"1177625017710941\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1177625017710941\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gene regulation and systems biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1177625017710941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2017/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gene regulation and systems biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1177625017710941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
A Quantitative Systems Pharmacology Platform to Investigate the Impact of Alirocumab and Cholesterol-Lowering Therapies on Lipid Profiles and Plaque Characteristics.
Reduction in low-density lipoprotein cholesterol (LDL-C) is associated with decreased risk for cardiovascular disease. Alirocumab, an antibody to proprotein convertase subtilisin/kexin type 9 (PCSK9), significantly reduces LDL-C. Here, we report development of a quantitative systems pharmacology (QSP) model integrating peripheral and liver cholesterol metabolism, as well as PCSK9 function, to examine the mechanisms of action of alirocumab and other lipid-lowering therapies, including statins. The model predicts changes in LDL-C and other lipids that are consistent with effects observed in clinical trials of single or combined treatments of alirocumab and other treatments. An exploratory model to examine the effects of lipid levels on plaque dynamics was also developed. The QSP platform, on further development and qualification, may support dose optimization and clinical trial design for PCSK9 inhibitors and lipid-modulating drugs. It may also improve our understanding of factors affecting therapeutic responses in different phenotypes of dyslipidemia and cardiovascular disease.