CPT: Pharmacometrics & Systems Pharmacology最新文献

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PBPK modeling: What is the role of CYP3A4 expression in the gastrointestinal tract to accurately predict first-pass metabolism? PBPK 模型:胃肠道中 CYP3A4 的表达对准确预测首过代谢有何作用?
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-10-02 DOI: 10.1002/psp4.13249
Justine Henriot, André Dallmann, François Dupuis, Jérémy Perrier, Sebastian Frechen
{"title":"PBPK modeling: What is the role of CYP3A4 expression in the gastrointestinal tract to accurately predict first-pass metabolism?","authors":"Justine Henriot, André Dallmann, François Dupuis, Jérémy Perrier, Sebastian Frechen","doi":"10.1002/psp4.13249","DOIUrl":"https://doi.org/10.1002/psp4.13249","url":null,"abstract":"<p><p>Gastrointestinal first-pass metabolism plays an important role in bioavailability and in drug-drug interactions. Physiologically-based pharmacokinetic (PBPK) modeling is a powerful tool to integrate these processes mechanistically. However, a correct bottom-up prediction of GI first-pass metabolism is challenging and depends on various model parameters like the level of enzyme expression and the basolateral intestinal mucosa permeability (P<sub>mucosa</sub>). This work aimed to investigate if cytochrome P450 (CYP) 3A4 expression could help predict the first-pass effect using PBPK modeling or whether additional factors like P<sub>mucosa</sub> do play additional roles using PBPK modeling. To this end, a systematic review of the absolute CYP3A expression in the human gastrointestinal tract and liver was conducted. The resulting CYP3A4 expression profile and two previously published profiles were applied to PBPK models of seven CYP3A4 substrates (alfentanil, alprazolam, felodipine, midazolam, sildenafil, triazolam, and verapamil) built-in PK-Sim®. For each compound, it was assessed whether first-pass metabolism could be adequately predicted based on the integrated CYP3A4 expression profile alone or whether an optimization of P<sub>mucosa</sub> was required. Evaluation criteria were the precision of the predicted interstudy bioavailabilities and area under the concentration-time curves. It was found that none of the expression profiles provided upfront an adequate description of the extent of GI metabolism and that optimization of P<sub>mucosa</sub> as a compound-specific parameter improved the prediction of most models. Our findings indicate that a pure bottom-up prediction of gastrointestinal first-pass metabolism is currently not possible and that compound-specific features like P<sub>mucosa</sub> must be considered as well.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142364739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Immunostimulatory/Immunodynamic model of mRNA-1273 to guide pediatric vaccine dose selection. mRNA-1273 的免疫刺激/免疫动力学模型用于指导儿科疫苗剂量选择。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-26 DOI: 10.1002/psp4.13237
Vijay Ivaturi, Husain Attarwala, Weiping Deng, Baoyu Ding, Sabine Schnyder Ghamloush, Bethany Girard, Javid Iqbal, Saugandhika Minnikanti, Honghong Zhou, Jacqueline Miller, Rituparna Das
{"title":"Immunostimulatory/Immunodynamic model of mRNA-1273 to guide pediatric vaccine dose selection.","authors":"Vijay Ivaturi, Husain Attarwala, Weiping Deng, Baoyu Ding, Sabine Schnyder Ghamloush, Bethany Girard, Javid Iqbal, Saugandhika Minnikanti, Honghong Zhou, Jacqueline Miller, Rituparna Das","doi":"10.1002/psp4.13237","DOIUrl":"https://doi.org/10.1002/psp4.13237","url":null,"abstract":"<p><p>COVID-19 vaccines, including mRNA-1273, have been rapidly developed and deployed. Establishing the optimal dose is crucial for developing a safe and effective vaccine. Modeling and simulation have the potential to play a key role in guiding the selection and development of the vaccine dose. In this context, we have developed an immunostimulatory/immunodynamic (IS/ID) model to quantitatively characterize the neutralizing antibody titers elicited by mRNA-1273 obtained from three clinical studies. The developed model was used to predict the optimal vaccine dose for future pediatric trials. A 25-μg primary vaccine series was predicted to meet non-inferiority criteria in young children (aged 2-5 years) and infants (aged 6-23 months). The geometric mean titers and geometric mean ratios for this dose level predicted using the IS/ID model a priori matched those observed in the pediatric clinical study. These findings demonstrate that IS/ID models represent a novel approach to guide data-driven clinical dose selection of vaccines.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
In-host modeling of dengue virus and non-structural protein 1 and the effects of ivermectin in patients with acute dengue fever. 急性登革热患者体内登革病毒和非结构蛋白 1 的模型以及伊维菌素的作用。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-23 DOI: 10.1002/psp4.13233
Junjie Ding, Dumrong Mairiang, Dararat Prayongkul, Chunya Puttikhunt, Sansanee Noisakran, Nattapong Kaewjiw, Adisak Songjaeng, Tanapan Prommool, Nattaya Tangthawornchaikul, Nasikarn Angkasekwinai, Yupin Suputtamongkol, Keswadee Lapphra, Kulkanya Chokephaibulkit, Nicholas J White, Panisadee Avirutnan, Joel Tarning
{"title":"In-host modeling of dengue virus and non-structural protein 1 and the effects of ivermectin in patients with acute dengue fever.","authors":"Junjie Ding, Dumrong Mairiang, Dararat Prayongkul, Chunya Puttikhunt, Sansanee Noisakran, Nattapong Kaewjiw, Adisak Songjaeng, Tanapan Prommool, Nattaya Tangthawornchaikul, Nasikarn Angkasekwinai, Yupin Suputtamongkol, Keswadee Lapphra, Kulkanya Chokephaibulkit, Nicholas J White, Panisadee Avirutnan, Joel Tarning","doi":"10.1002/psp4.13233","DOIUrl":"https://doi.org/10.1002/psp4.13233","url":null,"abstract":"<p><p>The increased incidence of dengue poses a substantially global public health challenge. There are no approved antiviral drugs to treat dengue infections. Ivermectin, an old anti-parasitic drug, had no effect on dengue viremia, but reduced the dengue non-structural protein 1 (NS1) in a clinical trial. This is potentially important, as NS1 may play a causal role in the pathogenesis of severe dengue. This study established an in-host model to characterize the plasma kinetics of dengue virus and NS1 with host immunity and evaluated the effects of ivermectin, using a population pharmacokinetic-pharmacodynamic (PK-PD) modeling approach, based on two studies in acute dengue fever: a placebo-controlled ivermectin study in 250 adult patients and an ivermectin PK-PD study in 24 pediatric patients. The proposed model described adequately the observed ivermectin pharmacokinetics, viral load, and NS1 data. Bodyweight was a significant covariate on ivermectin pharmacokinetics. We found that ivermectin reduced NS1 with an EC<sub>50</sub> of 67.5 μg/mL. In silico simulations suggested that ivermectin should be dosed within 48 h after fever onset, and that a daily dosage of 800 μg/kg could achieve substantial NS1 reduction. The in-host dengue model is useful to assess the drug effect in antiviral drug development for dengue fever.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The population pharmacokinetics of dolutegravir co-administered with rifampicin in Thai people living with HIV: Assessment of alternative dosing regimens. 泰国艾滋病病毒感染者服用多罗替拉韦与利福平时的群体药代动力学:评估替代给药方案。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-23 DOI: 10.1002/psp4.13244
Baralee Punyawudho, Anan Chanruang, Thornthun Ueaphongsukkit, Sivaporn Gatechompol, Sasiwimol Ubolyam, Yong Soon Cho, Jae Gook Shin, Anchalee Avihingsanon
{"title":"The population pharmacokinetics of dolutegravir co-administered with rifampicin in Thai people living with HIV: Assessment of alternative dosing regimens.","authors":"Baralee Punyawudho, Anan Chanruang, Thornthun Ueaphongsukkit, Sivaporn Gatechompol, Sasiwimol Ubolyam, Yong Soon Cho, Jae Gook Shin, Anchalee Avihingsanon","doi":"10.1002/psp4.13244","DOIUrl":"https://doi.org/10.1002/psp4.13244","url":null,"abstract":"<p><p>Tuberculosis is the most common opportunistic infection in individuals with HIV, and rifampicin is crucial in the treatment of tuberculosis. Drug-drug interactions complicate the use of DTG in HIV/TB co-infection, which makes drug administration more difficult. This study aimed to develop the population pharmacokinetic model of DTG when co-administered with rifampicin. The developed model was further used to investigate different dosing regimens. Forty HIV/TB-co-infected participants receiving DTG 50 mg once daily (OD) with food or DTG 50 mg twice daily (b.i.d.) without food were included in the analysis. Intensive pharmacokinetic samples were collected. The data were analyzed using a nonlinear mixed-effects modeling approach. A total of 332 DTG concentrations from 40 PLWH were analyzed. The pharmacokinetics of DTG co-administered with rifampicin can be best described by a one-compartment model with first-order absorption (incorporating lag time) and elimination. Total bilirubin was the only covariate that significantly affected CL/F. DTG 50 mg b.i.d. results in the highest proportion of individuals achieving in vitro IC<sub>90</sub> of 0.064 mg/L and in vivo EC<sub>90</sub> of 0.3 mg/L, while more than 90% of individuals receiving DTG 100 mg OD would achieve the in vitro IC<sub>90</sub> target. Therefore, DTG 100 mg OD could serve as an alternative regimen by minimizing the difficulty of drug administration. However, its clinical efficacy requires additional evaluation.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
In memoriam Lambertus (“Bert”) A. Peletier 29 March 1937–16 December 2023: Furthering quantitative pharmacology through applied mathematics 纪念兰伯特-佩利蒂埃(Lambertus ("Bert") A. Peletier) 1937 年 3 月 29 日--2023 年 12 月 16 日:通过应用数学促进定量药理学的发展。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-23 DOI: 10.1002/psp4.13236
Meindert Danhof, Piet H. van der Graaf, Teun M. Post, Sandra A. G. Visser, Klaas P. Zuideveld, Stephan Schmidt
{"title":"In memoriam Lambertus (“Bert”) A. Peletier 29 March 1937–16 December 2023: Furthering quantitative pharmacology through applied mathematics","authors":"Meindert Danhof,&nbsp;Piet H. van der Graaf,&nbsp;Teun M. Post,&nbsp;Sandra A. G. Visser,&nbsp;Klaas P. Zuideveld,&nbsp;Stephan Schmidt","doi":"10.1002/psp4.13236","DOIUrl":"10.1002/psp4.13236","url":null,"abstract":"&lt;p&gt;On December 16, 2023, our respected, beloved colleague, and friend prof.dr.ir. Lambertus (&lt;i&gt;Bert) A. Peletier&lt;/i&gt; passed away after a brief illness. Bert was an eminent mathematician with a broad interest in natural sciences. He received great international esteem for his fundamental research on partial differential equations. A list of his scientific publications can be found at https://scholargps.com/scholars/36194565598852/lambertus-a-peletier for further reading. Throughout his career as mathematician, several prestigious honors were bestowed upon him. He was elected as a member of the Royal Netherlands Academy of Arts and Sciences (KNAW) in 1999. In 2013, he received a knighthood in the Order of the Netherlands Lion (RNL).&lt;/p&gt;&lt;p&gt;In an interview with Ionica Smeets in 2015 (“Het keerpunt van Bert Peletier. De intellectuele bevrediging is anders, maar net zo groot.” Nieuw Archief voor Wiskunde (in Dutch). https://www.nieuwarchief.nl/serie5/pdf/naw5-2015-16-3-213.pdf), Bert reflected on his academic career. As the son of an engineer, Bert had an innate interest in technology, fuelled by the ambition to engage in a study at the Technical University of Delft. On the recommendation of his math teacher, he chose to study theoretical physics rather than pure mathematics. The choice of physics was based on his belief that mathematics is best understood in the context of real-life examples. Throughout his academic career, Bert continued to seek out opportunities for discussion and debate with colleagues, adhering to the motto of one of his unknown American colleagues: Science is the pursuit of knowledge in the company of friends.&lt;/p&gt;&lt;p&gt;After his graduation, from the newly established Eindhoven University of Technology, Bert spent a year at the Massachusetts Institute of Technology (MIT) in Boston. It was the place where he became inspired by academic life and debate. It made him decide to pursue a career in academia rather than in industry. In 1967, he obtained his PhD at the Eindhoven University of Technology. The title of his thesis was “On a class of wave equations.” After the completion of his PhD thesis and internships at the University of Sussex (UK) and the University of Minnesota (USA), he was appointed full professor of analysis and applied mathematics at Leiden University in 1977 from where he retired in 2002.&lt;/p&gt;&lt;p&gt;Just before his retirement from Leiden University, Bert accidentally met a pharmacist who had come across a publication by a group of Swedish researchers on mathematical modeling of drug effects. This pharmacist challenged Bert with the words: “If they can do this in Sweden, then you should be able to do this as well.” The very next day, Bert called Meindert Danhof, Professor at the Leiden Academic Centre for Drug Research (LACDR). He learnt that LACDR had an active research program in pharmacokinetics and pharmacokinetic–pharmacodynamic (PK–PD) modeling and simulation with a unique infrastructure to generate high-density drug","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":"13 10","pages":"1611-1614"},"PeriodicalIF":3.1,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11494821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates. pH 保持时间与侵蚀性食管炎愈合率之间关系的数学模型。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-19 DOI: 10.1002/psp4.13235
Colin W Howden, Carmelo Scarpignato, Eckhard Leifke, Darcy J Mulford, Gezim Lahu, Axel Facius, Yuhong Yuan, Richard Hunt
{"title":"Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates.","authors":"Colin W Howden, Carmelo Scarpignato, Eckhard Leifke, Darcy J Mulford, Gezim Lahu, Axel Facius, Yuhong Yuan, Richard Hunt","doi":"10.1002/psp4.13235","DOIUrl":"https://doi.org/10.1002/psp4.13235","url":null,"abstract":"<p><p>Effective suppression of gastric acid secretion promotes healing of erosive esophagitis. Treatment guidelines recommend proton pump inhibitors (PPIs) and histamine H<sub>2</sub>-receptor antagonists (H<sub>2</sub>RAs). Emerging evidence also supports potassium-competitive acid blockers (P-CABs). The aim was to construct a mathematical model to examine the relationship between pH holding time ratios (HTRs) and erosive esophagitis healing rates with H<sub>2</sub>RAs, PPIs and P-CABs. By literature search, we identified studies of H<sub>2</sub>RAs, PPIs or P-CABs that reported mean pH >4 HTRs at steady state (days 5-8) and erosive esophagitis healing rates after 4 and/or 8 weeks. We aggregated treatments by drug class and developed a non-linear, mixed-effects model to explore the relationship between pH >4 HTRs and healing rates. The pH dataset included 82 studies (4297 participants; 201 dosage arms); healing rate data came from 103 studies (43,417 patients; 196 treatment arms). P-CABs achieved the longest periods with intragastric pH >4, and the highest healing rates after 4 and 8 weeks. The predicted probabilities of achieving ≥90% healing rates at 8 weeks were 74.1% for P-CABs, 17.3% for PPIs and 0% for H<sub>2</sub>RAs. P-CABs provide the longest duration with intragastric pH >4 and, accordingly, the highest healing rates of erosive esophagitis.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Population pharmacokinetic-pharmacodynamic model of elinzanetant based on integrated clinical phase I and II data. 基于 I 期和 II 期临床综合数据的艾林扎尼坦群体药代动力学-药效学模型。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-18 DOI: 10.1002/psp4.13226
Stefan Willmann, Adam Lloyd, Rupert Austin, Shiju Joseph, Alexander Solms, Yang Zhang, Annika R P Schneider, Sebastian Frechen, Marcus-Hillert Schultze-Mosgau
{"title":"Population pharmacokinetic-pharmacodynamic model of elinzanetant based on integrated clinical phase I and II data.","authors":"Stefan Willmann, Adam Lloyd, Rupert Austin, Shiju Joseph, Alexander Solms, Yang Zhang, Annika R P Schneider, Sebastian Frechen, Marcus-Hillert Schultze-Mosgau","doi":"10.1002/psp4.13226","DOIUrl":"https://doi.org/10.1002/psp4.13226","url":null,"abstract":"<p><p>Elinzanetant is a potent and selective dual neurokin-1 (NK-1) and -3 (NK-3) receptor antagonist that is currently developed for the treatment of women with moderate-to-severe vasomotor symptoms (VMS) associated with menopause. Here, we report the development of a population pharmacokinetic (popPK) model for elinzanetant and its principal metabolites based on an integrated dataset from 366 subjects (including 197 women with VMS) collected in 10 phase I or II studies. The pharmacokinetics of elinzanetant and its metabolites could be well described by the popPK model. Within the investigated dose range of 40-160 mg, the oral bioavailability of elinzanetant was dose independent and estimated to be 36.7%. The clearance of elinzanetant was estimated to be 7.26 L/h and the central and peripheral distribution volume were 23.7 and 168 L. No intrinsic or extrinsic influencing factors have been identified in the investigated population other than the effect of a high-fat breakfast on the oral absorption of elinzanetant. The popPK model was then coupled to a pharmacodynamic model to predict occupancies of the NK-1 and NK-3 receptors. After repeated once-daily administration of the anticipated therapeutic dose of 120 mg elinzanetant, the model-predicted median receptor occupancies are >99% for NK-1 and >94.8% for NK-3 during day and night-time, indicating sustained and near-complete inhibition of both target receptors during the dosing interval.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A close examination of BCRP's role in lactation and methods for predicting drug distribution into milk 仔细研究 BCRP 在哺乳期的作用以及预测药物在乳汁中分布的方法。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-18 DOI: 10.1002/psp4.13243
Caroline Sychterz, Hong Shen, Yueping Zhang, Michael Sinz, Amin Rostami-Hodjegan, Brian J. Schmidt, Lu Gaohua, Aleksandra Galetin
{"title":"A close examination of BCRP's role in lactation and methods for predicting drug distribution into milk","authors":"Caroline Sychterz,&nbsp;Hong Shen,&nbsp;Yueping Zhang,&nbsp;Michael Sinz,&nbsp;Amin Rostami-Hodjegan,&nbsp;Brian J. Schmidt,&nbsp;Lu Gaohua,&nbsp;Aleksandra Galetin","doi":"10.1002/psp4.13243","DOIUrl":"10.1002/psp4.13243","url":null,"abstract":"<p>Breastfeeding is the most complete nutritional method of feeding infants, but several impediments affect the decision to breastfeed, including questions of drug safety for medications needed during lactation. Despite recent FDA guidance, few labels provide clear dosing advice during lactation. Physiologically based pharmacokinetic modeling (PBPK) is well suited to mechanistically explore pharmacokinetics and dosing paradigms to fill gaps in the absence of extensive clinical studies and complement existing real-world data. For lactation-focused PBPK (Lact-PBPK) models, information on system parameters (e.g., expression of drug transporters in mammary epithelial cells) is sparse. The breast cancer resistance protein (BCRP) is expressed on the apical side of mammary epithelial cells where it actively transports drugs/substrates into milk (reported milk: plasma ratios range from 2 to 20). A critical review of BCRP and its role in lactation was conducted. Longitudinal changes in BCRP mRNA expression have been identified in women with a maximum reached around 5 months postpartum. Limited data are available on the ontogeny of BCRP in infant intestine; however, data indicate lower BCRP abundance in infants compared to adults. Current status of incorporation of drug transporter information in Lact-PBPK models to predict active secretion of drugs into breast milk and consequential exposure of breast-fed infants is discussed. In addition, this review highlights novel clinical tools for evaluation of BCRP activity, namely a potential non-invasive BCRP biomarker (riboflavin) and liquid biopsy that could be used to quantitatively elucidate the role of this transporter without the need for administration of drugs and to inform Lact-PBPK models.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":"13 11","pages":"1856-1869"},"PeriodicalIF":3.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/psp4.13243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of physiologically-based pharmacokinetic modeling to inform dosing decisions for geriatric patients. 应用基于生理学的药代动力学模型为老年病人的用药决策提供信息。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-18 DOI: 10.1002/psp4.13241
Lixuan Qian, Ziteng Wang, Mary F Paine, Eric Chun Yong Chan, Zhu Zhou
{"title":"Application of physiologically-based pharmacokinetic modeling to inform dosing decisions for geriatric patients.","authors":"Lixuan Qian, Ziteng Wang, Mary F Paine, Eric Chun Yong Chan, Zhu Zhou","doi":"10.1002/psp4.13241","DOIUrl":"10.1002/psp4.13241","url":null,"abstract":"","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling serum M-protein response for early detection of biochemical relapse in myeloma patients treated with bortezomib, lenalidomide and dexamethasone. 为早期检测接受硼替佐米、来那度胺和地塞米松治疗的骨髓瘤患者的生化复发建立血清M蛋白反应模型。
IF 3.1 3区 医学
CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-09-17 DOI: 10.1002/psp4.13225
Yuki Otani, Yunqi Zhao, Guanyu Wang, Richard Labotka, Mark Rogge, Neeraj Gupta, Majid Vakilynejad, Dean Bottino, Yusuke Tanigawara
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