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一种基于假病毒系统的季节性流感病毒感染生物发光成像小鼠模型。

A Bioluminescent Imaging Mouse Model for Seasonal Influenza Virus Infection Based on a Pseudovirus System.

作者信息

Wang Yifei, Zhang Mengyi, An Yimeng, Li Lanshu, Wu Hao, Cheng Ziqi, Pan Ling, Yang Chaoying, Huang Weijin, Geng Yansheng, Zhao Chenyan

机构信息

Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), WHO Collaborating Center for Standardization and Evaluation of Biologicals, Beijing 102629, China.

Key Laboratory of Public Health Safety of Hebei Province, School of Public Health, Hebei University, Baoding 071000, China.

出版信息

Viruses. 2025 May 9;17(5):686. doi: 10.3390/v17050686.

Abstract

Influenza (flu) is a highly prevalent respiratory illness caused by influenza viruses, representing a significant global health burden due to its substantial morbidity and mortality rate. Vaccination remains the most effective strategy for influenza prevention, and well-characterized animal models of influenza infection serve as essential tools for evaluating vaccine protective efficacy. However, animal models utilizing live influenza virus strains pose significant biosafety concerns, and many such strains are not readily available for research. To address these challenges, we established a novel visual mouse infection model using an HIV-based vector system. This model employs influenza pseudoviruses carrying a luciferase reporter gene, enabling real-time monitoring of viral load and in vivo tracking of viral distribution during infection. Using this infection model, we assessed the in vivo protective efficacy of an influenza vaccine and cross-validated the pseudovirus-based evaluation results against a live virus-infected mouse model. Our study thus establishes a safer and more convenient platform for evaluating influenza vaccine efficacy, including the assessment of broad-spectrum neutralization capacity.

摘要

流感是一种由流感病毒引起的高度流行的呼吸道疾病,因其高发病率和死亡率而成为全球重大的健康负担。接种疫苗仍然是预防流感最有效的策略,而特征明确的流感感染动物模型是评估疫苗保护效果的重要工具。然而,利用活流感病毒株的动物模型存在重大生物安全问题,而且许多此类病毒株不易用于研究。为应对这些挑战,我们利用基于HIV的载体系统建立了一种新型可视化小鼠感染模型。该模型采用携带荧光素酶报告基因的流感假病毒,能够实时监测病毒载量,并在感染期间对病毒分布进行体内追踪。利用这种感染模型,我们评估了流感疫苗的体内保护效果,并针对活病毒感染的小鼠模型对基于假病毒的评估结果进行了交叉验证。因此,我们的研究建立了一个更安全、更便捷的平台来评估流感疫苗的效果,包括评估广谱中和能力。

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