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Predicting bioavailability of monoclonal antibodies after subcutaneous administration: Open innovation challenge.
Sánchez-Félix, Manuel; Burke, Matt; Chen, Hunter H; Patterson, Claire; Mittal, Sachin.
Afiliação
  • Sánchez-Félix M; Novartis Institutes for BioMedical Research, 700 Main Street, Cambridge, MA 02139, USA. Electronic address: manuel.sanchez-felix@novartis.com.
  • Burke M; Radius Health, Inc, 550 E. Swedesford Road, Suite 370, Wayne, PA 19087, USA. Electronic address: mburke@radiuspharm.com.
  • Chen HH; Regeneron Pharmaceuticals, Inc, 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA. Electronic address: hunter.chen@regeneron.com.
  • Patterson C; Seda Pharmaceutical Development Services, Ltd., Alderley Park, Alderley Edge, Cheshire SK10 4TG, UK. Electronic address: claire.patterson@sedapds.com.
  • Mittal S; Merck & Co., Inc, 2000 Galloping Hill Rd, Kenilworth, NJ 07033, USA. Electronic address: sachin_mittal@merck.com.
Adv Drug Deliv Rev ; 167: 66-77, 2020 12.
Article em En | MEDLINE | ID: mdl-32473188
Despite the increasing trend towards subcutaneous delivery of monoclonal antibodies, factors influencing the subcutaneous bioavailability of these molecules remain poorly understood. To address critical knowledge gaps and issues during development of subcutaneous dosage forms for monoclonal antibodies, the Subcutaneous Drug Delivery and Development Consortium was convened in 2018 as a pre-competitive collaboration of recognized industry experts. One of the Consortium's eight problem statements highlights the challenges of predicting human bioavailability of subcutaneously administered monoclonal antibodies due to a lack of reliable in vitro and preclinical in vivo predictive models. In this paper, we assess the current landscape in subcutaneous bioavailability prediction for monoclonal antibodies and discuss the gaps and opportunities associated with bioavailability models for biotherapeutics. We also issue an open challenge to industry and academia, encouraging the development of reliable models to enable subcutaneous bioavailability prediction of therapeutic large molecules in humans and improve translation from preclinical species.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article