Comparative Computational Modeling of the Bat and Human Immune Response to Viral Infection with the Comparative Biology Immune Agent Based Model.
Comparative Computational Modeling of the Bat and Human Immune Response to Viral Infection with the Comparative Biology Immune Agent Based Model.
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DOI：
10.3390/v13081620
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发表时间：
2021-08-16
期刊：
影响因子：
--
通讯作者：
An G
中科院分区：
文献类型：
--
作者：
Cockrell C;An G
鉴于蝙蝠起源的病毒引起的流行病的影响，对蝙蝠和人类免疫反应之间的差异进行比较研究的兴趣越来越大。比较生物学的实践可以通过用于动态知识表示的计算方法来可视化和询问两个系统之间的假定差异而得到加强。我们提出了一个基于代理的模型，它包含并弥合了BAT和人类对病毒感染的反应之间的差异：基于比较生物学免疫代理的模型，或CBIABM。CBIABM检查了蝙蝠和人类在先天免疫机制方面的差异，特别是在对病毒感染的耐受性方面，炎症体活动和1型干扰素动态。CBIABM的模拟实验证明了BAT相关特征在赋予病毒耐受性方面的有效性，并表明内皮炎症小体活动作为BAT全身病毒耐受的机制和影响人类病毒感染的疾病严重程度的关键作用。我们希望这项初步研究将激发更多的比较建模项目，以链接、比较和对比不同物种共享的免疫功能，并通过这样做，为未来人畜共患病的病毒大流行做准备提供洞察力和帮助。
Given the impact of pandemics due to viruses of bat origin, there is increasing interest in comparative investigation into the differences between bat and human immune responses. The practice of comparative biology can be enhanced by computational methods used for dynamic knowledge representation to visualize and interrogate the putative differences between the two systems. We present an agent based model that encompasses and bridges differences between bat and human responses to viral infection: the comparative biology immune agent based model, or CBIABM. The CBIABM examines differences in innate immune mechanisms between bats and humans, specifically regarding inflammasome activity and type 1 interferon dynamics, in terms of tolerance to viral infection. Simulation experiments with the CBIABM demonstrate the efficacy of bat-related features in conferring viral tolerance and also suggest a crucial role for endothelial inflammasome activity as a mechanism for bat systemic viral tolerance and affecting the severity of disease in human viral infections. We hope that this initial study will inspire additional comparative modeling projects to link, compare, and contrast immunological functions shared across different species, and in so doing, provide insight and aid in preparation for future viral pandemics of zoonotic origin.
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影响因子：
24.1
作者：
Bertheloot D;Latz E;Franklin BS
通讯作者：
Franklin BS
影响因子：
7.7
作者：
Brook, Cara E.;Boots, Mike;van Leeuwen, Anieke
通讯作者：
van Leeuwen, Anieke
DOI：
10.1001/jama.2015.13134
发表时间：
2015-11-03
期刊：
JAMA
影响因子：
--
作者：
Abegglen LM;Caulin AF;Chan A;Lee K;Robinson R;Campbell MS;Kiso WK;Schmitt DL;Waddell PJ;Bhaskara S;Jensen ST;Maley CC;Schiffman JD
通讯作者：
Schiffman JD
影响因子：
4
作者：
Cockrell C;An G
通讯作者：
An G
影响因子：
2
作者：
Cockrell, Chase;An, Gary
通讯作者：
An, Gary