在媒介传播的病毒感染中,营养在病毒动力学中的作用

IF 1.9 4区 数学 Q2 BIOLOGY
Nora Heitzman-Breen , Jacob Golden , Yuyao Wang , James Weger-Lucarelli , Stanca M. Ciupe
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引用次数: 0

摘要

营养不良会改变新陈代谢和免疫力,影响一个人抵抗感染的能力,影响临床结果。为了量化不同营养状况和不同病毒感染组之间感染动态的差异,我们建立了宿主内急性感染的数学模型,并将其与饲喂高脂肪营养过剩饮食、低蛋白质营养不足饮食或瘦对照饮食并感染马亚罗病、罗斯河病或基孔肯雅病的小鼠数据相匹配。除了发现病毒特异性宿主-病毒动力学外,模型分析显示,与营养不良的感染小鼠相比,营养不良的感染小鼠的感染细胞去除率降低,而与病原体无关。此外,在三种病毒感染中,我们发现营养不良的感染小鼠的病毒产生率比营养过剩的感染小鼠低。这些结果表明,饮食是理解病毒与宿主相互作用的一个重要因素,在设计干预措施时应予以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of nutrition in virus dynamics in vector-borne viral infections
Malnutrition alters metabolism and immunity, affecting one’s ability to fight infections and influencing clinical outcomes. To quantify differences in infection dynamics among groups of different nutrition statuses and challenged with different viruses, we developed within-host mathematical models of acute infections and fitted them to data from mice fed either a high-fat overnutrition diet, a low-protein undernutrition diet, or a lean control diet and infected with either Mayaro, Ross River or chikungunya. In addition to finding virus-specific host-virus dynamics, model analyses showed decreased infected cell removal rates in undernourished infected mice compared to overnourished infected mice, regardless of the pathogen. Additionally, we found lower viral production rates in undernourished infected mice compared to overnourished infected mice, in two out of the three virus infections. These results suggest that diet is an important factor in understanding viral-host interactions, and should be considered when designing interventions.
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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