Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis

Background: Neutralizing mAbs can prevent communicable viral diseases. MK-1654 is a respiratory syncytial virus (RSV) F glycoprotein neutralizing monoclonal antibody (mAb) under development to prevent RSV infection in infants. Development and validation of methods to predict efficacious doses of neu...

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Autores principales: Brian M. Maas, Jos Lommerse, Nele Plock, Radha A. Railkar, S.Y. Amy Cheung, Luzelena Caro, Jingxian Chen, Wen Liu, Ying Zhang, Qinlei Huang, Wei Gao, Li Qin, Jie Meng, Han Witjes, Emilie Schindler, Benjamin Guiastrennec, Francesco Bellanti, Daniel S. Spellman, Brad Roadcap, Mariya Kalinova, Juin Fok-Seang, Andrew P. Catchpole, Amy S. Espeseth, S. Aubrey Stoch, Eseng Lai, Kalpit A. Vora, Antonios O. Aliprantis, Jeffrey R. Sachs
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:29110f874edd46dea00e331b42ac84842021-11-12T04:40:31ZForward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis2352-396410.1016/j.ebiom.2021.103651https://doaj.org/article/29110f874edd46dea00e331b42ac84842021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S235239642100445Xhttps://doaj.org/toc/2352-3964Background: Neutralizing mAbs can prevent communicable viral diseases. MK-1654 is a respiratory syncytial virus (RSV) F glycoprotein neutralizing monoclonal antibody (mAb) under development to prevent RSV infection in infants. Development and validation of methods to predict efficacious doses of neutralizing antibodies across patient populations exposed to a time-varying force of infection (i.e., seasonal variation) are necessary. Methods: Five decades of clinical trial literature were leveraged to build a model-based meta-analysis (MBMA) describing the relationship between RSV serum neutralizing activity (SNA) and clinical endpoints. The MBMA was validated by backward translation to animal challenge experiments and forward translation to predict results of a recent RSV mAb trial. MBMA predictions were evaluated against a human trial of 70 participants who received either placebo or one of four dose-levels of MK-1654 and were challenged with RSV [NCT04086472]. The MBMA was used to perform clinical trial simulations and predict efficacy of MK-1654 in the infant target population. Findings: The MBMA established a quantitative relationship between RSV SNA and clinical endpoints. This relationship was quantitatively consistent with animal model challenge experiments and results of a recently published clinical trial. Additionally, SNA elicited by increasing doses of MK-1654 in humans reduced RSV symptomatic infection rates with a quantitative relationship that approximated the MBMA. The MBMA indicated a high probability that a single dose of ≥ 75 mg of MK-1654 will result in prophylactic efficacy (> 75% for 5 months) in infants. Interpretation: An MBMA approach can predict efficacy of neutralizing antibodies against RSV and potentially other respiratory pathogens.Brian M. MaasJos LommerseNele PlockRadha A. RailkarS.Y. Amy CheungLuzelena CaroJingxian ChenWen LiuYing ZhangQinlei HuangWei GaoLi QinJie MengHan WitjesEmilie SchindlerBenjamin GuiastrennecFrancesco BellantiDaniel S. SpellmanBrad RoadcapMariya KalinovaJuin Fok-SeangAndrew P. CatchpoleAmy S. EspesethS. Aubrey StochEseng LaiKalpit A. VoraAntonios O. AliprantisJeffrey R. SachsElsevierarticleRespiratory Syncytial VirusMonoclonal AntibodyRSV, Meta-analysisModelling and SimulationHuman Challenge StudyMedicineRMedicine (General)R5-920ENEBioMedicine, Vol 73, Iss , Pp 103651- (2021)
institution DOAJ
collection DOAJ
language EN
topic Respiratory Syncytial Virus
Monoclonal Antibody
RSV, Meta-analysis
Modelling and Simulation
Human Challenge Study
Medicine
R
Medicine (General)
R5-920
spellingShingle Respiratory Syncytial Virus
Monoclonal Antibody
RSV, Meta-analysis
Modelling and Simulation
Human Challenge Study
Medicine
R
Medicine (General)
R5-920
Brian M. Maas
Jos Lommerse
Nele Plock
Radha A. Railkar
S.Y. Amy Cheung
Luzelena Caro
Jingxian Chen
Wen Liu
Ying Zhang
Qinlei Huang
Wei Gao
Li Qin
Jie Meng
Han Witjes
Emilie Schindler
Benjamin Guiastrennec
Francesco Bellanti
Daniel S. Spellman
Brad Roadcap
Mariya Kalinova
Juin Fok-Seang
Andrew P. Catchpole
Amy S. Espeseth
S. Aubrey Stoch
Eseng Lai
Kalpit A. Vora
Antonios O. Aliprantis
Jeffrey R. Sachs
Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis
description Background: Neutralizing mAbs can prevent communicable viral diseases. MK-1654 is a respiratory syncytial virus (RSV) F glycoprotein neutralizing monoclonal antibody (mAb) under development to prevent RSV infection in infants. Development and validation of methods to predict efficacious doses of neutralizing antibodies across patient populations exposed to a time-varying force of infection (i.e., seasonal variation) are necessary. Methods: Five decades of clinical trial literature were leveraged to build a model-based meta-analysis (MBMA) describing the relationship between RSV serum neutralizing activity (SNA) and clinical endpoints. The MBMA was validated by backward translation to animal challenge experiments and forward translation to predict results of a recent RSV mAb trial. MBMA predictions were evaluated against a human trial of 70 participants who received either placebo or one of four dose-levels of MK-1654 and were challenged with RSV [NCT04086472]. The MBMA was used to perform clinical trial simulations and predict efficacy of MK-1654 in the infant target population. Findings: The MBMA established a quantitative relationship between RSV SNA and clinical endpoints. This relationship was quantitatively consistent with animal model challenge experiments and results of a recently published clinical trial. Additionally, SNA elicited by increasing doses of MK-1654 in humans reduced RSV symptomatic infection rates with a quantitative relationship that approximated the MBMA. The MBMA indicated a high probability that a single dose of ≥ 75 mg of MK-1654 will result in prophylactic efficacy (> 75% for 5 months) in infants. Interpretation: An MBMA approach can predict efficacy of neutralizing antibodies against RSV and potentially other respiratory pathogens.
format article
author Brian M. Maas
Jos Lommerse
Nele Plock
Radha A. Railkar
S.Y. Amy Cheung
Luzelena Caro
Jingxian Chen
Wen Liu
Ying Zhang
Qinlei Huang
Wei Gao
Li Qin
Jie Meng
Han Witjes
Emilie Schindler
Benjamin Guiastrennec
Francesco Bellanti
Daniel S. Spellman
Brad Roadcap
Mariya Kalinova
Juin Fok-Seang
Andrew P. Catchpole
Amy S. Espeseth
S. Aubrey Stoch
Eseng Lai
Kalpit A. Vora
Antonios O. Aliprantis
Jeffrey R. Sachs
author_facet Brian M. Maas
Jos Lommerse
Nele Plock
Radha A. Railkar
S.Y. Amy Cheung
Luzelena Caro
Jingxian Chen
Wen Liu
Ying Zhang
Qinlei Huang
Wei Gao
Li Qin
Jie Meng
Han Witjes
Emilie Schindler
Benjamin Guiastrennec
Francesco Bellanti
Daniel S. Spellman
Brad Roadcap
Mariya Kalinova
Juin Fok-Seang
Andrew P. Catchpole
Amy S. Espeseth
S. Aubrey Stoch
Eseng Lai
Kalpit A. Vora
Antonios O. Aliprantis
Jeffrey R. Sachs
author_sort Brian M. Maas
title Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis
title_short Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis
title_full Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis
title_fullStr Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis
title_full_unstemmed Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis
title_sort forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (rsv) antibody prophylaxis
publisher Elsevier
publishDate 2021
url https://doaj.org/article/29110f874edd46dea00e331b42ac8484
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