Evidence map›Paper›PMID 39939515›Full record

ArticleThe AAPS journal2025

Application of a Physiologically Based Pharmacokinetic Approach to Predict Tenofovir Pharmacokinetics During Pregnancy.

Khaled Abduljalil, Mailys De Sousa Mendes, Farzaneh Salem, Sihem Benaboud, Iain Gardner

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Article in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Khaled AbduljalilCertara Predictive Technologies, Sheffield, UK. Khaled.Abduljalil@certara.com.ORCID 0000-0003-0725-9237
Mailys De Sousa MendesCertara Predictive Technologies, Sheffield, UK.
Farzaneh SalemCertara Predictive Technologies, Sheffield, UK.
Sihem Benaboud1 U1343, Pharmacologie Et Évaluations Thérapeutiques Chez L'enfant Et La Femme Enceinte, Inserm, Université Paris Cité, Paris, France.
Iain GardnerCertara Predictive Technologies, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacotherapy during pregnancy requires a better understanding of the impact of changes in maternal physiology on the maternal and fetal drug exposure. The physiologically based pharmacokinetic (PBPK) modelling approach can be applied to predict maternal and fetal exposure. In vitro and in vivo PK data in non-pregnant individuals were compiled and used to develop and verify a PBPK model for tenofovir. The model was then used to predict the maternal and fetal tenofovir exposure during pregnancy, after incorporation of current knowledge on maternal and fetal physiological changes during pregnancy. Predicted concentrations and parameters from the PBPK model were compared to observed data. Predicted tenofovir PK agreed with observations in non-pregnant (13 studies) and pregnant (7 studies with differing gestational weeks) individuals. Observed concentrations fell within the PBPK 5th - 95th prediction intervals. Predicted PK parameters were within twofold of the reported parameters. The predicted tenofovir steady state cord-to-maternal exposure ratio at term was 0.85 (range: 0.62-0.98), which agrees with clinically observed ratios ranging between 0.60-1.00. A PBPK model for tenofovir was constructed and used to simulate the maternal and fetal exposure to tenofovir in virtual pregnant women population at different gestational weeks. Applying a similar approach to other drugs or chemicals may allow exposure prediction and risk assessment in the fetus following maternal administration of drugs or unintended exposure to environmental toxicants.

Indexed as

AdenineAnti-HIV AgentsModels, BiologicalOrganophosphonatesAdultFemaleHumansMaternal-Fetal ExchangePregnancyTenofovirAdenineAnti-HIV AgentsOrganophosphonatesTenofoviramniotic fluidfetalPBPKplacentapregnancytenofovir

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Registered trials

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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.