Why, when and how should exposure be considered at the within-host scale? A modelling contribution to PRRSv infection.

IF 0.8 4区 数学 Q4 BIOLOGY
Natacha Go, Catherine Belloc, Caroline Bidot, Suzanne Touzeau
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引用次数: 5

Abstract

Understanding the impact of pathogen exposure on the within-host dynamics and its outcome in terms of infectiousness is a key issue to better understand and control the infection spread. Most experimental and modelling studies tackling this issue looked at the impact of the exposure dose on the infection probability and pathogen load, very few on the within-host immune response. Our aim was to explore the impact on the within-host response not only of the exposure dose, but also of its duration and peak, for contrasted virulence levels. We used an integrative modelling approach of the within-host dynamics at the between-cell level. We focused on the porcine reproductive and respiratory syndrome virus, a major concern for the swine industry. We quantified the impact of exposure and virulence on the viral dynamics and immune response by global sensitivity analyses and descriptive statistics. We found that the area under the viral curve, an indicator of the infection severity, was fully determined by the exposure intensity. The infection duration increased with the strain virulence and, for a given strain, exhibited a positive linear correlation with the exposure intensity logarithm and the exposure duration. Taking into account the exposure intensity is hence necessary. Besides, representing the exposure due to contacts by a single punctual dose would tend to underestimate the infection duration. As the infection severity and duration both contribute to the pig infectiousness, a prolonged exposure of the adequate intensity would be recommended in an immuno-epidemiological context.

为什么,何时以及如何在宿主内尺度上考虑暴露?对PRRSv感染的建模贡献。
了解病原体暴露对宿主内动态及其传染性结果的影响是更好地理解和控制感染传播的关键问题。处理这一问题的大多数实验和建模研究着眼于暴露剂量对感染概率和病原体负荷的影响,很少关注宿主内免疫反应。我们的目的是探讨对宿主内反应的影响,不仅暴露剂量,而且暴露时间和峰值,对比毒力水平。我们在细胞间水平上使用了宿主内动态的综合建模方法。我们重点关注猪繁殖与呼吸综合征病毒,这是养猪业关注的一个主要问题。我们通过全局敏感性分析和描述性统计量化了暴露和毒力对病毒动力学和免疫反应的影响。我们发现,病毒曲线下的面积是感染严重程度的一个指标,完全由暴露强度决定。感染持续时间随着菌株毒力的增加而增加,对于给定菌株,与暴露强度对数和暴露持续时间呈线性正相关。因此,考虑曝光强度是必要的。此外,以单次准时剂量表示接触暴露往往会低估感染持续时间。由于感染的严重程度和持续时间都对猪的传染性有影响,在免疫流行病学背景下,建议长时间暴露在适当强度的环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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