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脓肿形成计算模型的开发。

Development of a Computational Model of Abscess Formation.

作者信息

Pigozzo Alexandre B, Missiakas Dominique, Alonso Sergio, Dos Santos Rodrigo W, Lobosco Marcelo

机构信息

Department of Computer Science, Federal University of São João Del-Rei, São João Del-Rei, Brazil.

Department of Microbiology, University of Chicago, Chicago, IL, United States.

出版信息

Front Microbiol. 2018 Jun 26;9:1355. doi: 10.3389/fmicb.2018.01355. eCollection 2018.

DOI:10.3389/fmicb.2018.01355
PMID:29997587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6029511/
Abstract

In some bacterial infections, the immune system cannot eliminate the invading pathogen. In these cases, the invading pathogen is successful in establishing a favorable environment to survive and persist in the host organism. For example, bacteria survive in organ tissues employing a set of mechanisms that work in a coordinated and highly regulated way allowing: (1) efficient impairment of the immune response; and (2) protection from the immune cells and molecules. secretes several proteins including coagulases and toxins that drive abscess formation and persistence. Unless staphylococcal abscesses are surgically drained and treated with antibiotics, disseminated infection and septicemia produce a lethal outcome. Within this context, this paper develops a simple mathematical model of abscess formation incorporating characteristics that we judge important for an abscess to be formed. Our aim is to build a mathematical model that reproduces some characteristics and behaviors that are observed in the process of abscess formation.

摘要

在某些细菌感染中,免疫系统无法清除入侵的病原体。在这些情况下,入侵的病原体成功地建立了一个有利的环境,以便在宿主体内存活和持续存在。例如,细菌在器官组织中存活,采用一组以协调和高度调节的方式起作用的机制,从而实现:(1)有效削弱免疫反应;(2)免受免疫细胞和分子的侵害。葡萄球菌分泌多种蛋白质,包括凝固酶和毒素,这些物质会促使脓肿形成并持续存在。除非通过手术引流葡萄球菌脓肿并用抗生素治疗,否则播散性感染和败血症会导致致命后果。在此背景下,本文建立了一个简单的脓肿形成数学模型,纳入了我们认为对脓肿形成很重要的特征。我们的目标是构建一个数学模型,该模型能够再现脓肿形成过程中观察到的一些特征和行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/8d0f2cff9571/fmicb-09-01355-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/dcf61510bc3d/fmicb-09-01355-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/9f38e0cbf62f/fmicb-09-01355-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/919de7ef4bd0/fmicb-09-01355-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/c4387a887d8a/fmicb-09-01355-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/bda69fe93d8a/fmicb-09-01355-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/8d0f2cff9571/fmicb-09-01355-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/dcf61510bc3d/fmicb-09-01355-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/9f38e0cbf62f/fmicb-09-01355-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/919de7ef4bd0/fmicb-09-01355-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/c4387a887d8a/fmicb-09-01355-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/bda69fe93d8a/fmicb-09-01355-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/6029511/8d0f2cff9571/fmicb-09-01355-g0006.jpg

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Agent-based modeling of the immune system: NetLogo, a promising framework.基于主体的免疫系统建模:NetLogo,一个有前景的框架。
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