Literature DB >> 32473188

Predicting bioavailability of monoclonal antibodies after subcutaneous administration: Open innovation challenge.

Manuel Sánchez-Félix1, Matt Burke2, Hunter H Chen3, Claire Patterson4, Sachin Mittal5.   

Abstract

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.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Challenge; Mechanistic; Monoclonal antibodies; Pharmacokinetic models; Physiologically based; Predictive; Subcutaneous bioavailability; Therapeutic proteins

Year:  2020        PMID: 32473188     DOI: 10.1016/j.addr.2020.05.009

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  6 in total

1.  Machine Learning Attempts for Predicting Human Subcutaneous Bioavailability of Monoclonal Antibodies.

Authors:  Hao Lou; Michael J Hageman
Journal:  Pharm Res       Date:  2021-03-12       Impact factor: 4.200

Review 2.  Interleukin-1 Antagonists for the Treatment of Recurrent Pericarditis.

Authors:  Bryan Q Abadie; Paul C Cremer
Journal:  BioDrugs       Date:  2022-05-31       Impact factor: 7.744

Review 3.  Comparison of the Efficacy and Safety of Anti-CD20 B Cells Depleting Drugs in Multiple Sclerosis.

Authors:  Kelly R Cotchett; Bonnie N Dittel; Ahmed Z Obeidat
Journal:  Mult Scler Relat Disord       Date:  2021-01-22       Impact factor: 4.808

Review 4.  Therapeutic antibodies - natural and pathological barriers and strategies to overcome them.

Authors:  Yara Al Ojaimi; Timothée Blin; Juliette Lamamy; Matthieu Gracia; Aubin Pitiot; Caroline Denevault-Sabourin; Nicolas Joubert; Jean-Pierre Pouget; Valérie Gouilleux-Gruart; Nathalie Heuzé-Vourc'h; Débora Lanznaster; Sophie Poty; Thomas Sécher
Journal:  Pharmacol Ther       Date:  2021-10-20       Impact factor: 13.400

5.  A phase I, first-in-human, randomized dose-escalation study of anti-activated factor XII monoclonal antibody garadacimab.

Authors:  Andrew McKenzie; Anthony Roberts; Sourabh Malandkar; Henrike Feuersenger; Con Panousis; Dipti Pawaskar
Journal:  Clin Transl Sci       Date:  2021-12-03       Impact factor: 4.689

Review 6.  Alternative Routes of Administration for Therapeutic Antibodies-State of the Art.

Authors:  Aubin Pitiot; Nathalie Heuzé-Vourc'h; Thomas Sécher
Journal:  Antibodies (Basel)       Date:  2022-08-26
  6 in total

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