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Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration

Quantitative systems pharmacology (QSP) has been proposed as a scientific domain that can enable efficient and informative drug development. During the past several years, there has been a notable increase in the number of regulatory submissions that contain QSP, including Investigational New Drug A...

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Autores principales: Bai, Jane P. F., Earp, Justin C., Florian, Jeffry, Madabushi, Rajanikanth, Strauss, David G., Wang, Yaning, Zhu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673997/
https://www.ncbi.nlm.nih.gov/pubmed/34734497
http://dx.doi.org/10.1002/psp4.12709
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author Bai, Jane P. F.
Earp, Justin C.
Florian, Jeffry
Madabushi, Rajanikanth
Strauss, David G.
Wang, Yaning
Zhu, Hao
author_facet Bai, Jane P. F.
Earp, Justin C.
Florian, Jeffry
Madabushi, Rajanikanth
Strauss, David G.
Wang, Yaning
Zhu, Hao
author_sort Bai, Jane P. F.
collection PubMed
description Quantitative systems pharmacology (QSP) has been proposed as a scientific domain that can enable efficient and informative drug development. During the past several years, there has been a notable increase in the number of regulatory submissions that contain QSP, including Investigational New Drug Applications (INDs), New Drug Applications (NDAs), and Biologics License Applications (BLAs) to the US Food and Drug Administration. However, there has been no comprehensive characterization of the nature of these regulatory submissions regarding model details and intended applications. To address this gap, a landscape analysis of all the QSP submissions as of December 2020 was conducted. This report summarizes the (1) yearly trend of submissions, (2) proportion of submissions between INDs and NDAs/BLAs, (3) percentage distribution along the stages of drug development, (4) percentage distribution across various therapeutic areas, and (5) nature of QSP applications. In brief, QSP is increasingly applied to model and simulate both drug effectiveness and safety throughout the drug development process across disease areas.
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spelling pubmed-86739972021-12-22 Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration Bai, Jane P. F. Earp, Justin C. Florian, Jeffry Madabushi, Rajanikanth Strauss, David G. Wang, Yaning Zhu, Hao CPT Pharmacometrics Syst Pharmacol Research Quantitative systems pharmacology (QSP) has been proposed as a scientific domain that can enable efficient and informative drug development. During the past several years, there has been a notable increase in the number of regulatory submissions that contain QSP, including Investigational New Drug Applications (INDs), New Drug Applications (NDAs), and Biologics License Applications (BLAs) to the US Food and Drug Administration. However, there has been no comprehensive characterization of the nature of these regulatory submissions regarding model details and intended applications. To address this gap, a landscape analysis of all the QSP submissions as of December 2020 was conducted. This report summarizes the (1) yearly trend of submissions, (2) proportion of submissions between INDs and NDAs/BLAs, (3) percentage distribution along the stages of drug development, (4) percentage distribution across various therapeutic areas, and (5) nature of QSP applications. In brief, QSP is increasingly applied to model and simulate both drug effectiveness and safety throughout the drug development process across disease areas. John Wiley and Sons Inc. 2021-11-03 2021-12 /pmc/articles/PMC8673997/ /pubmed/34734497 http://dx.doi.org/10.1002/psp4.12709 Text en Published 2021. This article is a U.S. Government work and is in the public domain in the USA. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Bai, Jane P. F.
Earp, Justin C.
Florian, Jeffry
Madabushi, Rajanikanth
Strauss, David G.
Wang, Yaning
Zhu, Hao
Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration
title Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration
title_full Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration
title_fullStr Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration
title_full_unstemmed Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration
title_short Quantitative systems pharmacology: Landscape analysis of regulatory submissions to the US Food and Drug Administration
title_sort quantitative systems pharmacology: landscape analysis of regulatory submissions to the us food and drug administration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673997/
https://www.ncbi.nlm.nih.gov/pubmed/34734497
http://dx.doi.org/10.1002/psp4.12709
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