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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8673997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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