Evidence map›Paper›PMID 42371390›Full record

ArticleClinical pharmacokinetics2026

Informing Sampling Design for Lung Distribution Studies Using a Pulmonary Population Minimal PBPK Model.

Haini Wen, Muhammad Waqas Sadiq, Markus Fridén, Jens M Hohlfeld, Lena E Friberg, Elin M Svensson

Registry-linked trialAbstract read
In one paragraph

Article in Clinical pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03524066 (Understanding the Lung Pharmacokinetics), which is not on this map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

NCT03524066 nacompletednot on this map

Understanding the Lung Pharmacokinetics (PK) in Humans by Direct Sampling of Epithelial Lining Fluid (ELF) After Inhalation and Oral Administration of Model Drugs

TypeinterventionalSponsorFraunhofer-Institute of Toxicology and Experimental MedicineRan2018 to 2018Enrolled21ConditionsHealthyArmsInhalation, Systemic, Bronchoscopy
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Haini WenDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-2797-2128
Muhammad Waqas SadiqClinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-6112-2971
Markus FridénDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-5029-2417
Jens M HohlfeldFraunhofer Institute for Toxicology and Experimental Medicine ITEM, Hannover, Germany.ORCID http://orcid.org/0000-0003-2646-6186
Lena E FribergDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-2979-679X
Elin M SvenssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden. elin.svensson@uu.se.ORCID http://orcid.org/0000-0002-0093-6445

Funding

Vetenskapsrådet 2021-02059
6 · The paper itself

Abstract

backgroundUnderstanding intrapulmonary pharmacokinetics (PK) following inhalation remains a significant challenge in drug development and repurposing. Current lung sampling methods include bronchoalveolar lavage (BAL), biopsies, and the more recent bronchosorption technique, which enhances regional specificity while reducing potential quantification errors. This study aimed to develop a pulmonary population physiologically based pharmacokinetic (PBPK) model for inhaled salbutamol by integrating data from all three sampling techniques to improve PK predictions and to compare different sampling strategies to optimize future study designs.

methodsA population-based minimal PBPK model was developed using data from a previously published study (NCT03524066) investigating salbutamol's pulmonary and plasma PK in 13 healthy volunteers after inhalation. Simulations assessed the impact of permeability on pulmonary PK profiles and BAL-derived epithelial lining fluid (ELF)-to-plasma ratios using salbutamol as a reference compound. Stochastic simulation-estimation (SSE) methods were employed to assess the feasibility of different sampling strategies for estimating key parameters of the PBPK model. First, we evaluated using one or two sampling techniques within a single bronchoscopy session. Second, we compared uniform and staggered bronchosorption-based sampling strategies for drugs from different permeability categories.

resultsThe minimal PBPK model described pulmonary PK of salbutamol across the lung and estimated the unbound tissue-plasma partition coefficient for the lung (

conclusionA pulmonary population PBPK model for inhaled salbutamol was developed by integrating detailed intrapulmonary data from bronchoalveolar lavage, biopsy, and bronchosorption. The study revealed that parameter estimates of

Indexed as

AlbuterolLungModels, BiologicalAdministration, InhalationAdultBronchoalveolar Lavage FluidComputer SimulationFemaleHealthy VolunteersHumansMalePermeabilityTissue DistributionYoung AdultAlbuterol

Identifiers

PMID42371390
PMCPMC13461897

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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.