INSERM U1219 Bordeaux Population Health, Université de Bordeaux, Bordeaux, France; INRIA SISTM team, Talence, France; Vaccine Research Institute, Créteil, France.
INSERM U1219 Bordeaux Population Health, Université de Bordeaux, Bordeaux, France; INRIA SISTM team, Talence, France; Vaccine Research Institute, Créteil, France; Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York, USA.
J Theor Biol. 2020 Jun 21;495:110254. doi: 10.1016/j.jtbi.2020.110254. Epub 2020 Mar 21.
The 2014-2016 Ebola outbreak in West Africa has triggered accelerated development of several preventive vaccines against Ebola virus. Under the EBOVAC1 consortium, three phase I studies were carried out to assess safety and immunogenicity of a two-dose heterologous vaccination regimen developed by Janssen Vaccines and Prevention in collaboration with Bavarian Nordic. To describe the immune response induced by the two-dose heterologous vaccine regimen, we propose a mechanistic ODE based model, which takes into account the role of immunological memory. We perform identifiability and sensitivity analysis of the proposed model to establish which kind of biological data are ideally needed in order to accurately estimate parameters, and additionally, which of those are non-identifiable based on the available data. Antibody concentrations data from phase I studies have been used to calibrate the model and show its ability in reproducing the observed antibody dynamics. Together with other factors, the establishment of an effective and reactive immunological memory is of pivotal importance for several prophylactic vaccines. We show that introducing a memory compartment in our calibrated model allows to evaluate the magnitude of the immune response induced by a booster dose and its long-term persistence afterwards.
2014-2016 年西非的埃博拉疫情加速了几种埃博拉病毒预防疫苗的开发。在 EBOVAC1 联盟的合作下,开展了三项 I 期研究,以评估 Janssen Vaccines and Prevention 与 Bavarian Nordic 合作开发的两剂量异源疫苗接种方案的安全性和免疫原性。为了描述两剂量异源疫苗接种方案引起的免疫反应,我们提出了一个基于 ODE 的机制模型,该模型考虑了免疫记忆的作用。我们对所提出的模型进行了可识别性和敏感性分析,以确定为了准确估计参数,理想情况下需要哪种类型的生物学数据,并且根据可用数据,哪些是不可识别的。I 期研究的抗体浓度数据已用于对模型进行校准,并展示了其重现观察到的抗体动力学的能力。与其他因素一起,建立有效的反应性免疫记忆对于几种预防性疫苗至关重要。我们表明,在我们校准的模型中引入记忆区允许评估加强剂量引起的免疫反应的幅度及其随后的长期持久性。