Literature DB >> 33486719

Fetal Physiologically Based Pharmacokinetic Models: Systems Information on Fetal Cardiac Output and Its Distribution to Different Organs during Development.

Khaled Abduljalil1, Xian Pan2, Ruth Clayton2, Trevor N Johnson2, Masoud Jamei2.   

Abstract

BACKGROUND AND
OBJECTIVE: Fetal circulation is unique and the parameters describing hemodynamic status during development are critical for constructing a fetal physiologically based pharmacokinetic model. To date, a comprehensive review of circulatory changes during fetal development, with a specific focus on developing these models, has not been reported. The objective of this work was to collate, analyze, and mathematically describe physiological information on fetal cardiac output and tissue blood flows during development.
METHODS: A comprehensive literature search was carried out to collate and evaluate the changes to fetal cardiac output and fetal tissue blood flows during growth. The collated data were assessed, integrated, and analyzed to establish continuous mathematical functions describing the average parameter changes and variability during development.
RESULTS: Data were available for fetal cardiac output (14 Doppler studies), blood flow through the fetal umbilical vein (15 studies), ductus venosus (6 studies), liver veins (5 studies), brain (4 studies), lungs (5 studies), and kidneys (2 studies). Fetal cardiac output is described as either an age- or weight-dependent function. The latter is preferred as it generates an individualized cardiac output that is correlated to the fetal body weight. Blood flow as a proportion of fetal cardiac output to the liver, placenta, brain, kidneys, and lungs was age varying, whilst for the adipose, bone, heart, muscle, and skin the blood flow proportions were fixed. The pattern of change (with respect to direction and pace) for each of these parameters was different.
CONCLUSIONS: Despite limitations in the availability of some values, the collected data provide a useful resource for fetal physiologically based pharmacokinetic modeling. Potential applications of these data include predicting xenobiotic exposure and risk assessment in the fetus following the administration of maternally dosed drugs or unintended exposure to environmental toxicants.

Year:  2021        PMID: 33486719     DOI: 10.1007/s40262-020-00973-0

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  84 in total

1.  Anatomical, physiological and metabolic changes with gestational age during normal pregnancy: a database for parameters required in physiologically based pharmacokinetic modelling.

Authors:  Khaled Abduljalil; Penny Furness; Trevor N Johnson; Amin Rostami-Hodjegan; Hora Soltani
Journal:  Clin Pharmacokinet       Date:  2012-06-01       Impact factor: 6.447

2.  A pregnancy physiologically based pharmacokinetic (p-PBPK) model for disposition of drugs metabolized by CYP1A2, CYP2D6 and CYP3A4.

Authors:  Lu Gaohua; Khaled Abduljalil; Masoud Jamei; Trevor N Johnson; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2012-11       Impact factor: 4.335

Review 3.  Physiology of the fetal circulation.

Authors:  Torvid Kiserud
Journal:  Semin Fetal Neonatal Med       Date:  2005-10-19       Impact factor: 3.926

4.  Fetal aortic isthmus blood flow and the fraction of cardiac output distributed to the upper body and brain at 11-20 weeks of gestation.

Authors:  T Vimpeli; H Huhtala; T Wilsgaard; G Acharya
Journal:  Ultrasound Obstet Gynecol       Date:  2009-05       Impact factor: 7.299

Review 5.  Physiology of the fetal and transitional circulation.

Authors:  Anna Finnemore; Alan Groves
Journal:  Semin Fetal Neonatal Med       Date:  2015-04-25       Impact factor: 3.926

6.  Development of a Novel Maternal-Fetal Physiologically Based Pharmacokinetic Model I: Insights into Factors that Determine Fetal Drug Exposure through Simulations and Sensitivity Analyses.

Authors:  Zufei Zhang; Marjorie Z Imperial; Gabriela I Patilea-Vrana; Janak Wedagedera; Lu Gaohua; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2017-06-06       Impact factor: 3.922

7.  Fetal Physiologically-Based Pharmacokinetic Models: Systems Information on Fetal Biometry and Gross Composition.

Authors:  Khaled Abduljalil; Trevor N Johnson; Amin Rostami-Hodjegan
Journal:  Clin Pharmacokinet       Date:  2018-09       Impact factor: 6.447

8.  A Physiologically Based Pharmacokinetic Model for Pregnant Women to Predict the Pharmacokinetics of Drugs Metabolized Via Several Enzymatic Pathways.

Authors:  André Dallmann; Ibrahim Ince; Katrin Coboeken; Thomas Eissing; Georg Hempel
Journal:  Clin Pharmacokinet       Date:  2018-06       Impact factor: 6.447

9.  Evaluation of the uncertainty in an oral reference dose for methylmercury due to interindividual variability in pharmacokinetics.

Authors:  H J Clewell; J M Gearhart; P R Gentry; T R Covington; C B VanLandingham; K S Crump; A M Shipp
Journal:  Risk Anal       Date:  1999-08       Impact factor: 4.000

10.  Empirical models for anatomical and physiological changes in a human mother and fetus during pregnancy and gestation.

Authors:  Dustin F Kapraun; John F Wambaugh; R Woodrow Setzer; Richard S Judson
Journal:  PLoS One       Date:  2019-05-02       Impact factor: 3.240

View more
  3 in total

Review 1.  Predicting Human Fetal Drug Exposure Through Maternal-Fetal PBPK Modeling and In Vitro or Ex Vivo Studies.

Authors:  Ankit Balhara; Aditya R Kumar; Jashvant D Unadkat
Journal:  J Clin Pharmacol       Date:  2022-09       Impact factor: 2.860

2.  Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations.

Authors:  Khaled Abduljalil; Iain Gardner; Masoud Jamei
Journal:  Front Pediatr       Date:  2022-05-12       Impact factor: 3.569

3.  Prediction of Maternal and Fetal Acyclovir, Emtricitabine, Lamivudine, and Metformin Concentrations during Pregnancy Using a Physiologically Based Pharmacokinetic Modeling Approach.

Authors:  Khaled Abduljalil; Amita Pansari; Jia Ning; Masoud Jamei
Journal:  Clin Pharmacokinet       Date:  2022-01-24       Impact factor: 6.447

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.