Mechanistic PK/PD modeling to address early-stage biotherapeutic dosing feasibility questions
| Autor: | Joshuaine Grant, Fei Hua, Joshua F. Apgar, John M. Burke, Diana H. Marcantonio |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | mAbs, Vol 15, Iss 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 19420862 1942-0870 1942-0862 |
| DOI: | 10.1080/19420862.2023.2192251 |
| Popis: | ABSTRACTEarly assessment of dosing requirements should be an integral part of developability assessments for a discovery program. If a very high dose is required to achieve the desired pharmacological effect, it may not be clinically feasible or commercially desirable to develop the biotherapeutic for the selected target unless extra measures are taken to develop a high concentration formulation or maximize yield during manufacturing. A quantitative understanding of the impact of target selection, biotherapeutic format, and optimal drug properties on potential dosing requirements to achieve efficacy can affect many early decisions. Early prediction of dosing requirements for biotherapeutics, as opposed to small molecules, is possible due to a strong influence of target biology on pharmacokinetics and dosing. Mechanistic pharmacokinetic/pharmacodynamic (PK/PD) models leverage knowledge and competitor data available at an early stage of drug development, including biophysics of the target(s) and disease physiology, to rationally inform drug design criteria. Here we review how mathematical mechanistic PK/PD modeling can and has been applied to guide early drug development decisions. |
| Databáze: | Directory of Open Access Journals |
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