Quantifying in vitro B. anthracis growth and PA production and decay: a mathematical modelling approach.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bevelynn Williams, Jamie Paterson, Helena J Rawsthorne-Manning, Polly-Anne Jeffrey, Joseph J Gillard, Grant Lythe, Thomas R Laws, Martín López-García
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引用次数: 0

Abstract

Protective antigen (PA) is a protein produced by Bacillus anthracis. It forms part of the anthrax toxin and is a key immunogen in US and UK anthrax vaccines. In this study, we have conducted experiments to quantify PA in the supernatants of cultures of B. anthracis Sterne strain, which is the strain used in the manufacture of the UK anthrax vaccine. Then, for the first time, we quantify PA production and degradation via mathematical modelling and Bayesian statistical techniques, making use of this new experimental data as well as two other independent published data sets. We propose a single mathematical model, in terms of delay differential equations (DDEs), which can explain the in vitro dynamics of all three data sets. Since we did not heat activate the B. anthracis spores prior to inoculation, germination occurred much slower in our experiments, allowing us to calibrate two additional parameters with respect to the other data sets. Our model is able to distinguish between natural PA decay and that triggered by bacteria via proteases. There is promising consistency between the different independent data sets for most of the parameter estimates. The quantitative characterisation of B. anthracis PA production and degradation obtained here will contribute towards the ambition to include a realistic description of toxin dynamics, the host immune response, and anti-toxin treatments in future mechanistic models of anthrax infection.

量化体外炭疽杆菌的生长和 PA 的产生与衰变:一种数学建模方法。
保护性抗原(PA)是炭疽杆菌产生的一种蛋白质。它是炭疽毒素的一部分,也是美国和英国炭疽疫苗的主要免疫原。在本研究中,我们对英国炭疽疫苗生产中使用的炭疽杆菌 Sterne 株培养上清液中的 PA 进行了定量实验。然后,我们首次通过数学建模和贝叶斯统计技术对 PA 的产生和降解进行了量化,并利用了这一新的实验数据和另外两组独立发表的数据。我们用延迟微分方程(DDE)提出了一个数学模型,该模型可以解释所有三组数据的体外动态。由于我们在接种前没有对炭疽杆菌孢子进行热激活,因此在我们的实验中萌发的速度要慢得多,这使得我们可以校准与其他数据集相比的两个额外参数。我们的模型能够区分 PA 的自然衰变和细菌通过蛋白酶引发的衰变。在不同的独立数据集之间,大多数参数的估计值都具有很好的一致性。本文获得的炭疽杆菌 PA 生成和降解的定量特征将有助于在未来的炭疽感染机理模型中对毒素动态、宿主免疫反应和抗毒素治疗进行现实描述。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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