In Vivo Imaging of Influenza Virus Infection in Immunized Mice

接种疫苗 医学 病毒 体内 甲型流感病毒 生物发光成像 病毒学 免疫 疫苗效力 免疫学 计算生物学 抗原 生物 荧光素酶 细胞培养 生物技术 转染 遗传学
作者
Rita Czakó,Leatrice Vogel,Elaine W. Lamirande,Kevin W. Bock,Ian N. Moore,Ali H. Ellebedy,Rafi Ahmed,Andrew Mehle,Kanta Subbarao
出处
期刊:MBio [American Society for Microbiology]
卷期号:8 (3) 被引量:36
标识
DOI:10.1128/mbio.00714-17
摘要

Immunization is the cornerstone of seasonal influenza control and represents an important component of pandemic preparedness strategies. Using a bioluminescent reporter virus, we demonstrate the application of noninvasive in vivo imaging system (IVIS) technology to evaluate the preclinical efficacy of candidate vaccines and immunotherapy in a mouse model of influenza. Sequential imaging revealed distinct spatiotemporal kinetics of bioluminescence in groups of mice passively or actively immunized by various strategies that accelerated the clearance of the challenge virus at different rates and by distinct mechanisms. Imaging findings were consistent with conclusions derived from virus titers in the lungs and, notably, were more informative than conventional efficacy endpoints in some cases. Our findings demonstrate the reliability of IVIS as a qualitative approach to support preclinical evaluation of candidate medical countermeasures for influenza in mice.IMPORTANCE Influenza A viruses remain a persistent threat to public health. Vaccination and immunotherapy are effective countermeasures for the control of influenza but must contend with antigenic drift and the risk of resistance to antivirals. Traditional preclinical efficacy studies for novel vaccine and pharmaceutical candidates can be time-consuming and expensive and are inherently limited in scope. In vivo imaging approaches offer the potential to noninvasively track virus replication in real time in animal models. In this study, we demonstrate the utility of bioluminescent imaging for tracking influenza virus replication in the lungs of immunized mice and also identify important factors that may influence the accurate interpretation of imaging results. Our findings support the potential of IVIS approaches to enhance traditional preclinical efficacy evaluation of candidate vaccines and human monoclonal antibodies for the prevention and treatment of influenza.
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