Suppr超能文献

从现存血液样本推断 1890 年及可能更早的大流行流感病毒株。

Extant blood samples to deduce the strains of the 1890 and possibly earlier pandemic influenzas.

机构信息

School of Medicine, University of Medicine and Dentistry of New Jersey, Newark, NJ 07103, United States.

出版信息

Med Hypotheses. 2009 Nov;73(5):846-8. doi: 10.1016/j.mehy.2009.04.019. Epub 2009 May 24.

Abstract

Influenza outbreaks in 1918, 1957 and 1968 caused some of the highest infectious disease mortality in the 20th century. In particular the 1918 pandemic caused more than 50 million deaths worldwide-the most deaths caused by any infectious disease ever in human history. Influenza pandemics in 1890 and earlier in the 19th century and back until at least the 16th century also caused non-trivial mortality. The excessively high mortality from flu in these years is thought to be due to major antigenic shifts in influenza strains, as opposed to smaller drifts in flu strains in years between pandemics. It is also thought that flu strains cycle naturally; however, as the 1918 pandemic was caused by an H1N1 strain, the 1957 pandemic by an H2N2 strain and the 1968 pandemic by an H3N2 flu, there have not been sufficient strains in an era when they could be evaluated molecularly to prove natural flu cycling in the human population. We have searched databases and institutions and here report finding extant preserved samples of sera of sufficient age and drawn at appropriate times to elucidate the strain of the 1890 pandemic and possibly shed light on influenza strains prior to that.

摘要

1918 年、1957 年和 1968 年的流感大爆发是 20 世纪传染性疾病死亡率最高的几次之一。尤其是 1918 年的大流感在全球范围内造成了超过 5000 万人死亡——这是人类历史上由任何传染病导致的最高死亡人数。1890 年以前以及 19 世纪更早时期的流感大爆发也造成了相当数量的死亡。这些年份中流感的过高死亡率被认为是由于流感病毒株的主要抗原转变,而不是大流行年份之间流感株的较小漂移。人们还认为流感病毒株会自然循环;然而,由于 1918 年的大流行是由 H1N1 株引起的,1957 年的大流行是由 H2N2 株引起的,1968 年的大流行是由 H3N2 流感引起的,在可以通过分子方法评估的时代,还没有足够的病毒株来证明人类群体中的自然流感循环。我们已经搜索了数据库和机构,并在此报告发现了具有足够年龄的现存保存血清样本,并在适当的时间抽取,以阐明 1890 年大流行的病毒株,并可能为之前的流感病毒株提供一些线索。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验