ReviewJournal of clinical pharmacology2022
Predicting Human Fetal Drug Exposure Through Maternal-Fetal PBPK Modeling and In Vitro or Ex Vivo Studies.
Review in Journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Proteomic Profiling of Xenobiotic and Nutrient Transporters in Human Placenta of Different Gestational Ages.Clinical pharmacology and therapeutics · 2026Article
- Advancing Pregnancy and Pediatric Science through the NIH Transporter Elucidation Network.Clinical pharmacology and therapeutics · 2026Review
- Physiologically based pharmacokinetic modeling to predict human pharmacokinetics of a novel mithramycin analog for Ewing sarcoma.Cancer chemotherapy and pharmacology · 2026Article
- PBPK Models for Fetal Drug Exposure: A Critical Assessment of Current Approaches and Regulatory Readiness.Journal of clinical pharmacology · 2026Review
- Proteomic profiling of xenobiotic and nutrient transporters in human placenta of different gestational ages.bioRxiv : the preprint server for biology · 2026Article
- Developmental Programming of Drug Response: Microbiota as a Missing Dimension in Perinatal Drug Discovery.International journal of molecular sciences · 2026Review
- Regulation of Human Renal Transporters by Pregnancy-Related Hormones in Primary Proximal Tubular Epithelial Cells.Metabolites · 2026Article
- Physiologically Based Pharmacokinetic Modeling to Predict Human Pharmacokinetics of a Novel Mithramycin Analog for Ewing Sarcoma.Research square · 2026Article
- Article
- Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025Review
- Defining the next generation of severe malaria treatment: a target product profile.Malaria journal · 2024Review
- Fetus Exposure to Drugs and Chemicals: A Holistic Overview on the Assessment of Their Transport and Metabolism across the Human Placental Barrier.Diseases (Basel, Switzerland) · 2024Review
- Drug exposure during pregnancy: Current understanding and approaches to measure maternal-fetal drug exposure.Frontiers in pharmacology · 2023Review
- The impact of pregnancy and associated hormones on the pharmacokinetics of ΔExpert opinion on drug metabolism & toxicologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Medication (drug) use in human pregnancy is prevalent. Determining fetal safety and efficacy of drugs is logistically challenging. However, predicting (not measuring) fetal drug exposure (systemic and tissue) throughout pregnancy is possible through maternal-fetal physiologically based pharmacokinetic (PBPK) modeling and simulation. Such prediction can inform fetal drug safety and efficacy. Fetal drug exposure can be quantified in 2 complementary ways. First, the ratio of the steady-state unbound plasma concentration in the fetal plasma (or area under the plasma concentration-time curve) to the corresponding maternal plasma concentration (ie, K
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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.