艾滋病毒和营养的数学模型。

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2023-12-01 Epub Date: 2023-11-28 DOI:10.1080/17513758.2023.2287087
Tharusha Bandara, Maia Martcheva, Calistus N Ngonghala
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引用次数: 0

摘要

艾滋病毒仍然是一个主要的全球健康问题,在过去几十年中夺走了数百万人的生命。虽然若干实证研究支持适当的营养有助于防治艾滋病毒这一事实,但很少有研究侧重于开发和使用数学建模方法来评估艾滋病毒、人体对该疾病的免疫反应和营养之间的关系。我们开发了一个宿主内的HIV模型,捕捉了HIV、免疫系统和营养之间的动态相互作用。我们发现病毒活动的增加导致血清蛋白水平的增加。我们还表明,病毒的产生率与HIV病毒载量呈正相关,病毒对蛋白质的增强率也是如此。尽管我们的数值模拟表明艾滋病毒感染者的饮食蛋白质摄入量与血清蛋白质水平之间存在直接关联,但需要进一步的建模和临床研究来全面了解这种关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical model on HIV and nutrition.

HIV continues to be a major global health issue, having claimed millions of lives in the last few decades. While several empirical studies support the fact that proper nutrition is useful in the fight against HIV, very few studies have focused on developing and using mathematical modelling approaches to assess the association between HIV, human immune response to the disease, and nutrition. We develop a within-host model for HIV that captures the dynamic interactions between HIV, the immune system and nutrition. We find that increased viral activity leads to increased serum protein levels. We also show that the viral production rate is positively correlated with HIV viral loads, as is the enhancement rate of protein by virus. Although our numerical simulations indicate a direct correlation between dietary protein intake and serum protein levels in HIV-infected individuals, further modelling and clinical studies are necessary to gain comprehensive understanding of the relationship.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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