Alessio Simeone
Optimizing Preclinical and Clinical Translation: A Multi-Species Computational Model for Islatravir and Etonogestrel Formulation for Improvements in Long-Acting Strategies.
Rel. Valentina Alice Cauda, Alessandro Grattoni. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2025
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Abstract
The development of effective and safe HIV prevention strategies is essential for addressing the ongoing epidemic. Islatravir (ISL), a novel nucleoside reverse transcriptase translocation inhibitor, shows promise as a long-acting (LA) pre-exposure prophylaxis (PrEP) agent. To reduce reliance on animal experimentation while enhancing translational efficiency, we developed a multi-compartment, multi-species computational pharmacokinetic (PK) model in MATLAB SimBiology. This model simulates ISL plasma levels and active intracellular ISL-triphosphate concentrations in peripheral blood mononuclear cells (PBMCs) across humans, non-human primates (NHPs), and rats for four administration routes: oral bolus, intravenous injection, subcutaneous injection, and subcutaneous implant. The model was validated using both published data and experimental results from subcutaneous implant studies, accurately capturing interspecies pharmacokinetic variability.
Simulations predicted ISL-triphosphate concentrations needed to achieve preventive efficacy in PBMCs (>0.05 pmol/10⁶ cells for humans and NHPs) while optimizing dosage and release rates
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