Evidence map›Paper›PMID 39478302›Full record

ArticleCPT: pharmacometrics & systems pharmacology2024

Using PBPK modeling to supplement clinical data and support the safe and effective use of dolutegravir in pregnant and lactating women.

Jia Ning, Amita Pansari, Karen Rowland Yeo, Aki T Heikkinen, Catriona Waitt, Lisa M Almond

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Jia NingCertara Predictive Technologies Division, Sheffield, UK.
Amita PansariCertara Predictive Technologies Division, Sheffield, UK.ORCID 0000-0002-7163-2633
Karen Rowland YeoCertara Predictive Technologies Division, Sheffield, UK.ORCID 0000-0002-7020-1970
Aki T HeikkinenCertara Predictive Technologies Division, Sheffield, UK.ORCID 0000-0002-1923-8153
Catriona WaittDepartment of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Lisa M AlmondCertara Predictive Technologies Division, Sheffield, UK.ORCID 0000-0002-6684-4287

Funding

Bill and Melinda Gates Foundation INV-040110Wellcome TrustWellcome Trust Clinical Research Career Development Fellowship 222075_Z_20_Z
6 · The paper itself

Abstract

Optimal dosing in pregnant and lactating women requires an understanding of the pharmacokinetics in the mother, fetus, and breastfed infant. Physiologically-based pharmacokinetic (PBPK) modeling can be used to simulate untested scenarios and hence supplement clinical data to support dosing decisions. A PBPK model for the antiretroviral dolutegravir (mainly metabolized by UGT1A1) was verified using reported exposures in non-pregnant healthy volunteers, pregnant women, and the umbilical cord, lactating mothers, and breastfed neonates. The model was then applied to predict the impact of UGT1A1 phenotypes in extensive (EM), poor (PM), and ultra-rapid metabolizers (UM). The predicted dolutegravir maternal plasma and umbilical cord AUC in UGT1A1 PMs was 1.6-fold higher than in EMs. The predicted dolutegravir maternal plasma and umbilical cord AUC in UGT1A1 UMs mothers was 1.3-fold lower than in EMs. The predicted mean systemic and umbilical vein concentrations were in excess of the dolutegravir IC

Indexed as

Heterocyclic Compounds, 3-RingHIV Integrase InhibitorsLactationModels, BiologicalOxazinesPiperazinesPyridonesAdultBreast FeedingDolutegravirFemaleGlucuronosyltransferaseHIV InfectionsHumansInfant, NewbornPregnancyDolutegravirGlucuronosyltransferaseHeterocyclic Compounds, 3-RingHIV Integrase InhibitorsOxazinesPiperazinesPyridonesUGT1A1 Enzyme

Identifiers

PMID39478302
PMCPMC11578129

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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.