Evidence map›Paper›PMID 40323155›Full record

ArticleClinical pharmacology and therapeutics2025

Predicting Maternal and Fetal Exposures of Elexacaftor-Tezacaftor-Ivacaftor during Pregnancy through Physiologically Based Pharmacokinetic Models.

Eunjin Hong, Mary F Hebert, Emily Fay, Grant Turner, Patricia Eshaghian, Aaron Trimble, Peter S Chung, Adupa P Rao, Paul M Beringer

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
  3. Review
  4. 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

9 authors.

Eunjin HongCollege of Pharmacy, CHA University, Seongnam-si, South Korea.ORCID 0000-0002-6696-3948
Mary F HebertDepartments of Pharmacy, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-1854-1214
Emily FayDepartments of Obstetrics and Gynecology, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-5582-2835
Grant TurnerDivision of Pulmonary and Critical Care Medicine, University of California Los Angeles, Santa Monica, California, USA.ORCID 0000-0003-0735-4947
Patricia EshaghianDivision of Pulmonary and Critical Care Medicine, University of California Los Angeles, Santa Monica, California, USA.
Aaron TrimbleDivision of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0003-4290-8044
Peter S ChungDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-1813-2119
Adupa P RaoDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-0220-7131
Paul M BeringerUSC Anton Yelchin CF Clinic, Los Angeles, California, USA.ORCID 0000-0002-3744-3310

Funding

PBPK Modeling & Simulation to Predict Transporter-Mediated Drug Secretion into Human Breast MilkR01HD112282 · NICHD · UNIVERSITY OF WASHINGTON · PI MARY F HEBERT, Joanne Wang · 2023 to 2026
$2.9M
NICHD NIH HHS R01 HD112282
6 · The paper itself

Abstract

The use of elexacaftor/tezacaftor/ivacaftor (ETI) has been associated with increased fertility in women with cystic fibrosis (CF) and is increasingly used during pregnancy to support both maternal and fetal health. However, little is known about the pharmacokinetics (PK) of ETI during pregnancy, which is crucial for optimizing its efficacy and safety. This study aimed to predict the PK of ETI during pregnancy and to determine the maternal dose required to achieve therapeutic concentrations in both the maternal and fetus. The pregnancy physiological-based pharmacokinetic (PBPK) model within the Simcyp Simulator was used to predict the maternal and feto-placental exposure of ETI. Placental kinetics were parameterized using permeability parameters determined from the physicochemical properties of these compounds. The model closely predicted the observed data, with the observed ETI maternal plasma concentrations, cord concentrations, and infant plasma concentrations mostly falling within the range of predicted 5th to 95th percentiles. Steady-state simulations up to gestational week 40 predicted a continuous decline in ETI concentrations, with the AUC declining to 32.4-37.5% of baseline levels by week 40. However, the 5th percentile of trough concentrations for ETI consistently remained above the efficacy thresholds, both in mother and fetus. Therefore, it appears reasonable to maintain standard dosing regimen during pregnancy, complemented by careful monitoring. A clinical trial, such as the ongoing Maternal and Fetal Outcomes in the Era of Modulators (MAYFLOWERS) study, is required to further confirm the efficacy and safety of ETI in this population.

Indexed as

AminophenolsBenzodioxolesChloride Channel AgonistsCystic FibrosisIndolesMaternal-Fetal ExchangeModels, BiologicalPyrazolesPyridinesQuinolonesAdultComputer SimulationDrug CombinationsFemaleFetal BloodHumansAminophenolsBenzodioxolesChloride Channel AgonistsDrug Combinationselexacaftor, ivacaftor, tezacaftor drug combinationIndolesPyrazolesPyridinesQuinolinesQuinolonestezacaftor, ivacaftor drug combination

Identifiers

PMID40323155
PMCPMC12353614

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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.