Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection

Abstract COVID‐19 vaccines, including mRNA‐1273, have been rapidly developed and deployed. Establishing the optimal dose is crucial for developing a safe and effective vaccine. Modeling and simulation have the potential to play a key role in guiding the selection and development of the vaccine dose....

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Main Authors: Vijay Ivaturi, Husain Attarwala, Weiping Deng, Baoyu Ding, Sabine Schnyder Ghamloush, Bethany Girard, Javid Iqbal, Saugandhika Minnikanti, Honghong Zhou, Jacqueline Miller, Rituparna Das
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Online Access:https://doi.org/10.1002/psp4.13237
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author Vijay Ivaturi
Husain Attarwala
Weiping Deng
Baoyu Ding
Sabine Schnyder Ghamloush
Bethany Girard
Javid Iqbal
Saugandhika Minnikanti
Honghong Zhou
Jacqueline Miller
Rituparna Das
author_facet Vijay Ivaturi
Husain Attarwala
Weiping Deng
Baoyu Ding
Sabine Schnyder Ghamloush
Bethany Girard
Javid Iqbal
Saugandhika Minnikanti
Honghong Zhou
Jacqueline Miller
Rituparna Das
author_sort Vijay Ivaturi
collection DOAJ
description Abstract COVID‐19 vaccines, including mRNA‐1273, have been rapidly developed and deployed. Establishing the optimal dose is crucial for developing a safe and effective vaccine. Modeling and simulation have the potential to play a key role in guiding the selection and development of the vaccine dose. In this context, we have developed an immunostimulatory/immunodynamic (IS/ID) model to quantitatively characterize the neutralizing antibody titers elicited by mRNA‐1273 obtained from three clinical studies. The developed model was used to predict the optimal vaccine dose for future pediatric trials. A 25‐μg primary vaccine series was predicted to meet non‐inferiority criteria in young children (aged 2–5 years) and infants (aged 6–23 months). The geometric mean titers and geometric mean ratios for this dose level predicted using the IS/ID model a priori matched those observed in the pediatric clinical study. These findings demonstrate that IS/ID models represent a novel approach to guide data‐driven clinical dose selection of vaccines.
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institution Kabale University
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publishDate 2025-01-01
publisher Wiley
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series CPT: Pharmacometrics & Systems Pharmacology
spelling doaj-art-3efbfb909e4c4c1bba86f0f8ffbfe51f2025-01-07T20:48:59ZengWileyCPT: Pharmacometrics & Systems Pharmacology2163-83062025-01-01141425110.1002/psp4.13237Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selectionVijay Ivaturi0Husain Attarwala1Weiping Deng2Baoyu Ding3Sabine Schnyder Ghamloush4Bethany Girard5Javid Iqbal6Saugandhika Minnikanti7Honghong Zhou8Jacqueline Miller9Rituparna Das10Pumas‐AI, Inc Dover Delaware USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAPumas‐AI, Inc Dover Delaware USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAModerna, Inc. Cambridge Massachusetts USAAbstract COVID‐19 vaccines, including mRNA‐1273, have been rapidly developed and deployed. Establishing the optimal dose is crucial for developing a safe and effective vaccine. Modeling and simulation have the potential to play a key role in guiding the selection and development of the vaccine dose. In this context, we have developed an immunostimulatory/immunodynamic (IS/ID) model to quantitatively characterize the neutralizing antibody titers elicited by mRNA‐1273 obtained from three clinical studies. The developed model was used to predict the optimal vaccine dose for future pediatric trials. A 25‐μg primary vaccine series was predicted to meet non‐inferiority criteria in young children (aged 2–5 years) and infants (aged 6–23 months). The geometric mean titers and geometric mean ratios for this dose level predicted using the IS/ID model a priori matched those observed in the pediatric clinical study. These findings demonstrate that IS/ID models represent a novel approach to guide data‐driven clinical dose selection of vaccines.https://doi.org/10.1002/psp4.13237
spellingShingle Vijay Ivaturi
Husain Attarwala
Weiping Deng
Baoyu Ding
Sabine Schnyder Ghamloush
Bethany Girard
Javid Iqbal
Saugandhika Minnikanti
Honghong Zhou
Jacqueline Miller
Rituparna Das
Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection
CPT: Pharmacometrics & Systems Pharmacology
title Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection
title_full Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection
title_fullStr Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection
title_full_unstemmed Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection
title_short Immunostimulatory/Immunodynamic model of mRNA‐1273 to guide pediatric vaccine dose selection
title_sort immunostimulatory immunodynamic model of mrna 1273 to guide pediatric vaccine dose selection
url https://doi.org/10.1002/psp4.13237
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