ArticlePloS one2019
Empirical models for anatomical and physiological changes in a human mother and fetus during pregnancy and gestation.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 47 citations in OpenAlex.
- Physiologically based pharmacokinetic modeling of long-acting extended-release naltrexone in pregnant women with opioid use disorder.CPT: pharmacometrics & systems pharmacology · 2024Trial
- A multiscale PBPK-PD model of oxytocin-induced uterine excitation and contraction.The Journal of physiology · 2026Article
- Comparison of physiologically based pharmacokinetic modeling platforms for developmental neurotoxicity in vitro to in vivo extrapolation.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Echoes of Pregnancy: Maternal Perception of Phantom Fetal Movements After Childbirth.BJOG : an international journal of obstetrics and gynaecology · 2026Observational
- In vitro and computational approaches to predict developmental toxicity: Integrating PBPK models with cell-based assays.Toxicology and applied pharmacology · 2025Article
- The silent threat: effects of PM2.5 exposure on perinatal complications and neonatal outcomes.BMC pregnancy and childbirth · 2025Article
- An advancement in developmental and reproductive toxicity (DART) risk assessment: evaluation of a bioactivity and exposure-based NAM toolbox.Frontiers in toxicology · 2025Article
- Advancing understanding of human variability through toxicokinetic modeling, in vitro-in vivo extrapolation, and new approach methodologies.Human genomics · 2024Review
- Development of a Physiologically Based Pharmacokinetic (PBPK) Model for F-53B in Pregnant Mice and Its Extrapolation to Humans.Environmental science & technology · 2024Article
- Multi-organ developmental toxicity and its characteristics in fetal mice induced by dexamethasone at different doses, stages, and courses during pregnancy.Archives of toxicology · 2024Article
- Development of a formula for estimated glomerular filtration rate in pregnant women from physiological hyperfiltration of serum creatinine.Scientific reports · 2024Article
- Investigating open access new approach methods (NAM) to assess biological points of departure: A case study with 4 neurotoxic pesticides.Current research in toxicology · 2024Article
- Animal-free assessment of developmental toxicity: Combining PBPK modeling with the ReproTracker assay.Toxicology · 2023Article
- Current Review of Increasing Animal Health Threat of Per- and Polyfluoroalkyl Substances (PFAS): Harms, Limitations, and Alternatives to Manage Their Toxicity.International journal of molecular sciences · 2023Review
- The LEAP Process: Streamlining the Development of Long-Acting Products and Formulations for Infectious Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
- Application of Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetics and Fetal Exposure to Oxcarbazepine.Pharmaceutics · 2022Article
- Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022Article
- Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues.Birth defects research · 2022Article
- A Generic Pharmacokinetic Model for Quantifying Mother-to-Offspring Transfer of Lipophilic Persistent Environmental Chemicals.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- IVIVE: Facilitating the Use ofToxics · 2022Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many parameters treated as constants in traditional physiologically based pharmacokinetic models must be formulated as time-varying quantities when modeling pregnancy and gestation due to the dramatic physiological and anatomical changes that occur during this period. While several collections of empirical models for such parameters have been published, each has shortcomings. We sought to create a repository of empirical models for tissue volumes, blood flow rates, and other quantities that undergo substantial changes in a human mother and her fetus during the time between conception and birth, and to address deficiencies with similar, previously published repositories. We used maximum likelihood estimation to calibrate various models for the time-varying quantities of interest, and then used the Akaike information criterion to select an optimal model for each quantity. For quantities of interest for which time-course data were not available, we constructed composite models using percentages and/or models describing related quantities. In this way, we developed a comprehensive collection of formulae describing parameters essential for constructing a PBPK model of a human mother and her fetus throughout the approximately 40 weeks of pregnancy and gestation. We included models describing blood flow rates through various fetal blood routes that have no counterparts in adults. Our repository of mathematical models for anatomical and physiological quantities of interest provides a basis for PBPK models of human pregnancy and gestation, and as such, it can ultimately be used to support decision-making with respect to optimal pharmacological dosing and risk assessment for pregnant women and their developing fetuses. The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.