Evidence map›Paper›PMID 32995953›Full record

ArticlePharmaceutical research2020

Combined in Vitro-in Silico Approach to Predict Deposition and Pharmacokinetics of Budesonide Dry Powder Inhalers.

Conor A Ruzycki, Brynn Murphy, Hafeez Nathoo, Warren H Finlay, Andrew R Martin

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Article in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Conor A RuzyckiDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0002-5055-551X
Brynn MurphyDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Hafeez NathooDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Warren H FinlayDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada. warren.finlay@ualberta.ca.
Andrew R MartinDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada. andrew.martin@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA combined in vitro - in silico methodology was designed to estimate pharmacokinetics of budesonide delivered via dry powder inhaler.

methodsParticle size distributions from three budesonide DPIs, measured with a Next Generation Impactor and Alberta Idealized Throat, were input into a lung deposition model to predict regional deposition. Subsequent systemic exposure was estimated using a pharmacokinetic model that incorporated Nernst-Brunner dissolution in the conducting airways to predict the net influence of dissolution, mucociliary clearance, and absorption.

resultsDPIs demonstrated significant in vitro differences in deposition, resulting in large differences in simulated regional deposition in the central conducting airways and the alveolar region. Similar but low deposition in the small conducting airways was observed with each DPI. Pharmacokinetic predictions showed good agreement with in vivo data from the literature. Peak systemic concentration was tied primarily to the alveolar dose, while the area under the curve was more dependent on the total lung dose. Tracheobronchial deposition was poorly correlated with pharmacokinetic data.

conclusionsCombination of realistic in vitro experiments, lung deposition modeling, and pharmacokinetic modeling was shown to provide reasonable estimation of in vivo systemic exposure from DPIs. Such combined approaches are useful in the development of orally inhaled drug products.

Indexed as

Administration, InhalationBronchodilator AgentsBudesonideComputer SimulationDry Powder InhalersEquipment DesignHumansIn Vitro TechniquesLungModels, BiologicalParticle SizePharynxTherapeutic EquivalencyBronchodilator AgentsBudesonidebioequivalencebudesonide dry powder inhalersin vitro in vivo correlationslung deposition modelingpharmacokinetics

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