Viral Dynamic Model-Informed Dose Selection of Mosnodenvir Prophylaxis against DENV-3 in a Controlled Human Infection Model.

Clin Pharmacol TherAug 9, 2026 (epub)
Clinical ResearchInfectious DiseasesOpen access

Nele Goeyvaerts, Xavier Woot de Trixhe, Martine Neyens et al.

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In 30 seconds

This Phase IIa controlled human infection model study evaluated mosnodenvir prophylaxis against DENV-3 and used combined population pharmacokinetic and viral dynamic modelling to inform dose selection. The models incorporated pharmacokinetic data from three Phase I studies and the first Phase IIa cohort, then simulated regimens for further assessment. Using the complete Phase IIa data, the estimated basic reproductive number for DENV-3 in this model was 21.7; the typical steady-state average concentration estimated to achieve complete virus eradication was 1,410 ng/mL. The modelling characterized the exposure–antiviral activity relationship and supported further regimen evaluation.

Key findings

  • The estimated basic reproductive number for DENV-3 in the controlled human infection model was 21.7.
  • The typical steady-state average mosnodenvir concentration estimated to achieve complete virus eradication was 1,410 ng/mL.
  • Simulations supported daily and weekly dosing regimens for further pharmacokinetic/pharmacodynamic characterization in the second cohort.

Why it matters

A combined pharmacokinetic and viral dynamic model can connect drug exposure with antiviral activity and help select regimens for evaluation in a controlled infection setting. The estimated concentration associated with complete viral eradication provides a quantitative model-based target, while the study’s findings remain specific to DENV-3 infection in this human challenge model.

What to keep in mind

The findings are model-based and arise from a controlled human infection model focused on DENV-3; the abstract does not establish effectiveness in naturally acquired dengue infection.

Source

Published in Clin Pharmacol Ther. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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