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流感病毒的变异与进化:这只是一场微不足道的流感吗?

Changing and Evolution of Influenza Virus: Is It a Trivial Flu?

机构信息

Unit of Clinical Microbiology, Department of Health Sciences, "Magna Græcia" University Hospital, Catanzaro, Italy.

Department of Biomedical Sciences, University of Sassari, Sassari, Italy.

出版信息

Chemotherapy. 2024;69(3):185-193. doi: 10.1159/000538382. Epub 2024 Mar 20.

Abstract

BACKGROUND

Influenza viruses are etiological agents which cause contagious respiratory, seasonal epidemics and, for influenza A subtypes, pandemics. The clinical picture of influenza has undergone continuous change over the years, due to intrinsic viral evolution as well as "reassortment" of its genomic segments. The history of influenza highlights its ability to adapt and to rapidly evolve, without specific circumstances. This reflects the complexity of this pathology and poses the fundamental question about its assumption as a "common illness" and its impact on public health.

SUMMARY

The global influenza epidemics and pandemics claimed millions of deaths, leaving an indelible mark on public health and showing the need for a better comprehension of the influenza virus. The clear understanding of genetic variations during the influenza seasonal epidemics is a crucial point for developing effective strategies for prevention, treatment, and vaccine design. The recent advance in next-generation sequencing approaches, model systems to virus culture, and bioinformatics pipeline played a key role in the rapid characterization of circulating influenza strains. In particular, the increase in computational power allowed the performance of complex tasks in healthcare settings through machine learning algorithms, which analyze different variables, such as medical and laboratory outputs, to optimize medical research and improve public health systems. The early detection of emerging and reemerging pathogens is a matter of importance to prevent future pandemics.

KEY MESSAGES

The perception of influenza as a "trivial flu" or a more serious public health concern is a subject of ongoing debate, reflecting the multifaceted nature of this infectious disease. The variability in the severity of influenza sheds light on the unpredictability of the viral characteristics, coupled with the challenges in accurately predicting circulating strains. This adds complexity to the public health burden of influenza and highlights the need for targeted interventions.

摘要

背景

流感病毒是引起传染性呼吸道季节性流行、以及甲型流感亚型大流行的病原体。由于病毒内在进化以及基因组片段的“重配”,流感的临床特征多年来不断发生变化。流感的历史凸显了其适应和快速进化的能力,而无需特定的环境条件。这反映了这种疾病的复杂性,并提出了一个基本问题,即它是否可以被视为一种“常见疾病”,以及它对公共卫生的影响。

概述

全球流感大流行和流感大流行造成数百万人死亡,给公共卫生留下了不可磨灭的印记,同时也表明需要更好地了解流感病毒。在流感季节性流行期间,明确了解遗传变异是制定有效预防、治疗和疫苗设计策略的关键。新一代测序方法、病毒培养模型系统和生物信息学管道的最新进展在快速鉴定循环流感株方面发挥了关键作用。特别是,计算能力的提高使通过机器学习算法在医疗保健环境中执行复杂任务成为可能,这些算法可以分析医疗和实验室输出等不同变量,以优化医学研究并改善公共卫生系统。早期检测新出现和重新出现的病原体对于预防未来的大流行至关重要。

关键信息

将流感视为“轻微流感”或更严重的公共卫生问题是一个持续存在的争论主题,反映了这种传染病的多面性。流感严重程度的变化表明了病毒特征的不可预测性,以及准确预测循环株的挑战。这给流感的公共卫生负担增加了复杂性,并强调了需要有针对性的干预措施。

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