{"title":"了解结核病肉芽肿形成及其对疾病进展影响的空间模型","authors":"Peng Feng","doi":"10.1515/jncds-2023-0035","DOIUrl":null,"url":null,"abstract":"\n Tuberculosis (TB) is caused by a bacterium called Mycobacterium tuberculosis (Mtb). When Mtb enters inside the pulmonary alveolus, it is phagocytosed by the alveolar macrophages, followed by a cascade of immune responses. This leads to the recruitment and accumulation of additional macrophages and T cells in the pulmonary tissues. A key outcome of this is the formation of granuloma, the hallmark of TB infection. In this paper, we develop a mathematical model of the evolution of granuloma by a system of partial differential equations that is based on the classical Keller–Segel chemotaxis equation. We investigate the effect of different parameters on the formation of granuloma. We present numerical simulation results that illustrate the impact of different parameters. The implication of our result on the disease progression is also discussed.","PeriodicalId":516284,"journal":{"name":"Journal of Nonlinear, Complex and Data Science","volume":"25 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A spatial model to understand tuberculosis granuloma formation and its impact on disease progression\",\"authors\":\"Peng Feng\",\"doi\":\"10.1515/jncds-2023-0035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Tuberculosis (TB) is caused by a bacterium called Mycobacterium tuberculosis (Mtb). When Mtb enters inside the pulmonary alveolus, it is phagocytosed by the alveolar macrophages, followed by a cascade of immune responses. This leads to the recruitment and accumulation of additional macrophages and T cells in the pulmonary tissues. A key outcome of this is the formation of granuloma, the hallmark of TB infection. In this paper, we develop a mathematical model of the evolution of granuloma by a system of partial differential equations that is based on the classical Keller–Segel chemotaxis equation. We investigate the effect of different parameters on the formation of granuloma. We present numerical simulation results that illustrate the impact of different parameters. The implication of our result on the disease progression is also discussed.\",\"PeriodicalId\":516284,\"journal\":{\"name\":\"Journal of Nonlinear, Complex and Data Science\",\"volume\":\"25 21\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nonlinear, Complex and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/jncds-2023-0035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nonlinear, Complex and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/jncds-2023-0035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
结核病(TB)是由一种名为结核分枝杆菌(Mtb)的细菌引起的。当 Mtb 进入肺泡内部时,会被肺泡巨噬细胞吞噬,随后产生一系列免疫反应。这导致肺组织中更多巨噬细胞和 T 细胞的招募和聚集。其主要结果是形成肉芽肿,这是肺结核感染的标志。本文以经典的 Keller-Segel 趋化方程为基础,通过偏微分方程系统建立了肉芽肿演变的数学模型。我们研究了不同参数对肉芽肿形成的影响。我们给出了数值模拟结果,以说明不同参数的影响。我们还讨论了我们的结果对疾病进展的影响。
A spatial model to understand tuberculosis granuloma formation and its impact on disease progression
Tuberculosis (TB) is caused by a bacterium called Mycobacterium tuberculosis (Mtb). When Mtb enters inside the pulmonary alveolus, it is phagocytosed by the alveolar macrophages, followed by a cascade of immune responses. This leads to the recruitment and accumulation of additional macrophages and T cells in the pulmonary tissues. A key outcome of this is the formation of granuloma, the hallmark of TB infection. In this paper, we develop a mathematical model of the evolution of granuloma by a system of partial differential equations that is based on the classical Keller–Segel chemotaxis equation. We investigate the effect of different parameters on the formation of granuloma. We present numerical simulation results that illustrate the impact of different parameters. The implication of our result on the disease progression is also discussed.