Evidence map›Paper›PMID 39636474›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2024

Semi-mechanistic population pharmacokinetic modeling of DZIF-10c, a neutralizing antibody against SARS-Cov-2: predicting systemic and lung exposure following inhaled and intravenous administration.

Sree Kurup, Nieves Velez de Mendizabal, Stephan Becker, Erica Bolella, Dorothy De Sousa, Gerd Fätkenheuer, Henning Gruell, Florian Klein, Jakob J Malin, Ulrike Schmid and 1 more

Abstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2024. 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

11 authors.

Sree Kurup *Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA. sree.kurup@boehringer-ingelheim.com.
Nieves Velez de Mendizabal *Metrum Research Group, Tariffville, CT, 06081, USA.
Stephan BeckerInstitute of Virology, Philipps University Marburg, 35043, Marburg, Germany.
Erica BolellaBiotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, 06877, USA.
Dorothy De SousaTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA.
Gerd FätkenheuerDepartment of Internal Medicine 1, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937, Cologne, Germany.
Henning GruellInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931, Cologne, Germany.
Florian KleinGerman Center for Infection Research (DZIF), Partner Site Giessen-Marburg-Langen, 35043, Marburg, Germany.
Jakob J MalinDepartment of Internal Medicine 1, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937, Cologne, Germany.
Ulrike SchmidTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, 88397, Biberach an der Riss, Germany.
Julia KorellTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DZIF-10c (BI 767551) is a recombinant human monoclonal antibody of the IgG1 kappa isotype. It acts as a SARS-CoV-2 neutralizing antibody. DZIF-10c has been developed for both systemic exposure by intravenous infusion as well as for specific exposure to the respiratory tract by application as an inhaled aerosol generated by a nebulizer. An integrated preclinical/clinical semi-mechanistic population pharmacokinetic model was developed to characterize the exposure profile of DZIF-10c in the systemic circulation and lungs. To inform and reduce uncertainty around exposure in the lungs following different methods of dosing, preclinical cynomolgus monkey data was combined with human data using allometric scaling principles. Human serum concentrations of DZIF-10c from two clinical trials were combined with serum/plasma and lung epithelial lining fluid (ELF) concentrations from three preclinical studies to characterize the relationship between dosing, serum/plasma, and lung exposure. The final model was used to predict exposure in the lungs following different routes of administration. Simulations showed that inhalation provides immediate and relevant exposure in the lung ELF at a much lower dose compared with an infusion. Combining inhalation with intravenous therapy results in high and sustained DZIF-10c exposure in the lungs and systemic circulation, thereby combining the benefits of both routes of administration. By combining preclinical data with clinical data (via allometric scaling principles), the developed population pharmacokinetic model reduced uncertainty around exposure in the lungs allowing evaluation of alternative dosing strategies to achieve the desired concentrations of DZIF-10c in human lungs.

Indexed as

Antibodies, NeutralizingLungMacaca fascicularisModels, BiologicalSARS-CoV-2Administration, InhalationAdministration, IntravenousAnimalsAntibodies, MonoclonalCOVID-19COVID-19 Drug TreatmentHumansMaleAntibodies, MonoclonalAntibodies, NeutralizingAllometric scalingInhaled administrationMonoclonal antibodiesPharmacokinetic modelPopulation pharmacokineticsSemi-mechanistic

Identifiers

PMID39636474
PMCPMC11621205

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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.