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宿主内和宿主间HIV动态的多尺度免疫流行病学建模:数学模型的系统综述

Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models.

作者信息

Dorratoltaj Nargesalsadat, Nikin-Beers Ryan, Ciupe Stanca M, Eubank Stephen G, Abbas Kaja M

机构信息

Department of Population Health Sciences, Virginia Tech, Blacksburg, United States of America.

Department of Mathematics, Virginia Tech, Blacksburg, United States of America.

出版信息

PeerJ. 2017 Sep 28;5:e3877. doi: 10.7717/peerj.3877. eCollection 2017.

Abstract

OBJECTIVE

The objective of this study is to conduct a systematic review of multi-scale HIV immunoepidemiological models to improve our understanding of the synergistic impact between the HIV viral-immune dynamics at the individual level and HIV transmission dynamics at the population level.

BACKGROUND

While within-host and between-host models of HIV dynamics have been well studied at a single scale, connecting the immunological and epidemiological scales through multi-scale models is an emerging method to infer the synergistic dynamics of HIV at the individual and population levels.

METHODS

We reviewed nine articles using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework that focused on the synergistic dynamics of HIV immunoepidemiological models at the individual and population levels.

RESULTS

HIV immunoepidemiological models simulate viral immune dynamics at the within-host scale and the epidemiological transmission dynamics at the between-host scale. They account for longitudinal changes in the immune viral dynamics of HIV+ individuals, and their corresponding impact on the transmission dynamics in the population. They are useful to analyze the dynamics of HIV super-infection, co-infection, drug resistance, evolution, and treatment in HIV+ individuals, and their impact on the epidemic pathways in the population. We illustrate the coupling mechanisms of the within-host and between-host scales, their mathematical implementation, and the clinical and public health problems that are appropriate for analysis using HIV immunoepidemiological models.

CONCLUSION

HIV immunoepidemiological models connect the within-host immune dynamics at the individual level and the epidemiological transmission dynamics at the population level. While multi-scale models add complexity over a single-scale model, they account for the time varying immune viral response of HIV+ individuals, and the corresponding impact on the time-varying risk of transmission of HIV+ individuals to other susceptibles in the population.

摘要

目的

本研究的目的是对多尺度HIV免疫流行病学模型进行系统综述,以增进我们对个体水平上HIV病毒-免疫动力学与人群水平上HIV传播动力学之间协同影响的理解。

背景

虽然HIV动力学的宿主内和宿主间模型已在单一尺度上得到充分研究,但通过多尺度模型连接免疫和流行病学尺度是一种新兴方法,用于推断HIV在个体和人群水平上的协同动力学。

方法

我们使用PRISMA(系统评价和Meta分析的首选报告项目)框架对九篇文章进行了综述,这些文章聚焦于HIV免疫流行病学模型在个体和人群水平上的协同动力学。

结果

HIV免疫流行病学模型模拟宿主内尺度的病毒免疫动力学和宿主间尺度的流行病学传播动力学。它们考虑了HIV阳性个体免疫病毒动力学的纵向变化及其对人群中传播动力学的相应影响。它们有助于分析HIV阳性个体中HIV超级感染、合并感染、耐药性、进化和治疗的动力学,以及它们对人群中流行途径的影响。我们阐述了宿主内和宿主间尺度的耦合机制、它们的数学实现方式以及适合使用HIV免疫流行病学模型进行分析的临床和公共卫生问题。

结论

HIV免疫流行病学模型连接了个体水平上的宿主内免疫动力学和人群水平上的流行病学传播动力学。虽然多尺度模型比单尺度模型增加了复杂性,但它们考虑了HIV阳性个体随时间变化的免疫病毒反应,以及对HIV阳性个体将病毒传播给人群中其他易感者的随时间变化风险的相应影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1f3/5623312/5cb38d778440/peerj-05-3877-g001.jpg

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