An Application of a Physiologically Based Pharmacokinetic Approach to Predict Ceftazidime Pharmacokinetics in a Pregnant Population

被引:3
|
作者
Abduljalil, Khaled [1 ]
Gardner, Iain [1 ]
Jamei, Masoud [1 ]
机构
[1] Certara Predict Technol, Level 2-Acero,1 Concourse Way, Sheffield S1 2BJ, England
关键词
ceftazidime; pregnancy; feto-placenta; PBPK model; renal; GFR; MULTIPLE-DOSE PHARMACOKINETICS; GLOMERULAR-FILTRATION; GESTATIONAL-AGE; SERUM; MOXALACTAM; CLEARANCE; TISSUE; PLASMA; FLUID;
D O I
10.3390/pharmaceutics16040474
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Physiological changes during pregnancy can alter maternal and fetal drug exposure. The objective of this work was to predict maternal and umbilical ceftazidime pharmacokinetics during pregnancy. Ceftazidime transplacental permeability was predicted from its physicochemical properties and incorporated into the model. Predicted concentrations and parameters from the PBPK model were compared to the observed data. PBPK predicted ceftazidime concentrations in non-pregnant and pregnant subjects of different gestational weeks were within 2-fold of the observations, and the observed concentrations fell within the 5th-95th prediction interval from the PBPK simulations. The calculated transplacental clearance (0.00137 L/h/mL of placenta volume) predicted an average umbilical cord-to-maternal plasma ratio of 0.7 after the first dose, increasing to about 1.0 at a steady state, which also agrees well with clinical observations. The developed maternal PBPK model adequately predicted the observed exposure and kinetics of ceftazidime in the pregnant population. Using a verified population-based PBPK model provides valuable insights into the disposition of drug concentrations in special individuals that are otherwise difficult to study and, in addition, offers the possibility of supplementing sparse samples obtained in vulnerable populations with additional knowledge, informing the dosing adjustment and study design, and improving the efficacy and safety of drugs in target populations.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Application of a Physiologically Based Pharmacokinetic Approach to Predict Tenofovir Pharmacokinetics During Pregnancy
    Abduljalil, Khaled
    Mendes, Mailys De Sousa
    Salem, Farzaneh
    Benaboud, Sihem
    Gardner, Iain
    AAPS JOURNAL, 2025, 27 (01):
  • [2] Application of Physiologically Based Pharmacokinetic Modeling to Predict Raltegravir Pharmacokinetics in Children
    Zhou, Wangda
    Johnson, Trevor
    Bui, Khanh
    Cheung, S. Y. Amy
    Li, Jianguo
    Xu, Hongmei
    Al-Huniti, Nidal
    Zhou, Diansong
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2016, 43 : S43 - S43
  • [3] Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations
    Abduljalil, Khaled
    Gardner, Iain
    Jamei, Masoud
    FRONTIERS IN PEDIATRICS, 2022, 10
  • [4] Application of physiologically based pharmacokinetic modeling to predict drug disposition in pregnant populations
    Jogiraju, Vamshi Krishna
    Avvari, Suvarchala
    Gollen, Rakesh
    Taft, David R.
    BIOPHARMACEUTICS & DRUG DISPOSITION, 2017, 38 (07) : 426 - 438
  • [5] Application of Physiologically Based Pharmacokinetic Modeling to Predict Pharmacokinetics in Healthy Japanese Subjects
    Matsumoto, Yuki
    Cabalu, Tamara
    Sandhu, Punam
    Hartmann, Georgy
    Iwasa, Takashi
    Yoshitsugu, Hiroyuki
    Gibson, Christopher
    Uemura, Naoto
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2019, 105 (04) : 1018 - 1030
  • [6] Application of Physiologically Based Pharmacokinetic Modeling to Predict Acetaminophen Metabolism and Pharmacokinetics in Children
    Jiang, X-L
    Zhao, P.
    Barrett, J. S.
    Lesko, L. J.
    Schmidt, S.
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2013, 2 (10):
  • [7] APPLICATION OF PHYSIOLOGICALLY BASED PHARMACOKINETIC (PBPK) MODELING TO PREDICT ONDANSETRON PHARMACOKINETICS IN CHILDREN
    Zhou, W.
    Johnson, T.
    Bui, K.
    Cheung, A.
    Li, J.
    Xu, H.
    Al-Huniti, N.
    Zhou, D.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2017, 101 (S1) : S94 - S95
  • [8] Application of Physiologically Based Pharmacokinetic (PBPK) Modeling to Predict Desloratadine Pharmacokinetics in Children
    Zhou, W.
    Johnson, T.
    Bui, K.
    Cheung, S. Y. A.
    Li, J.
    Xu, H.
    Al-Huniti, N.
    Zhou, D.
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2017, 44 : S138 - S138
  • [9] Application of Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetics and Fetal Exposure to Oxcarbazepine
    He, Lixia
    Ke, Meng
    Wu, Wanhong
    Chen, Jiarui
    Guo, Guimu
    Lin, Rongfang
    Huang, Pinfang
    Lin, Cuihong
    PHARMACEUTICS, 2022, 14 (11)
  • [10] Application of physiologically based pharmacokinetic modeling to predict the pharmacokinetics of telavancin in obesity with renal impairment
    Wu, Wanhong
    Ke, Meng
    Ye, Lingling
    Lin, Cuihong
    EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 2021, 77 (07) : 989 - 998