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果蝠中病毒感染的血清学证据:对尼日利亚食用野味的影响。

Serological evidence of virus infection in fruit bats: implications for bushmeat consumption in Nigeria.

机构信息

Viral Pseudotype Unit, Medway School of Pharmacy, Universities of Kent and Greenwich, Chatham, United Kingdom.

Viral Pseudotype Unit, School of Life Sciences, University of Sussex, Brighton, United Kingdom.

出版信息

Front Public Health. 2023 Nov 27;11:1283113. doi: 10.3389/fpubh.2023.1283113. eCollection 2023.

Abstract

INTRODUCTION

The fruit bat is one of the most widely distributed fruit bats in Africa and known to be a reservoir for several pathogenic viruses that can cause disease in animals and humans. To assess the risk of zoonotic spillover, we conducted a serological survey of 304 serum samples from bats that were captured for human consumption in Makurdi, Nigeria.

METHODS

Using pseudotyped viruses, we screened 304 serum samples for neutralizing antibodies against viruses from the and families.

RESULTS

We report the presence of neutralizing antibodies against henipavirus lineage GH-M74a virus (odds ratio 6.23;  < 0.001), Nipah virus (odds ratio 4.04;  = 0.00031), bat influenza H17N10 virus (odds ratio 7.25;  < 0.001) and no significant association with Ebola virus (odds ratio 0.56;  = 0.375) in this bat cohort.

CONCLUSION

The data suggest a potential risk of zoonotic spillover including the possible circulation of highly pathogenic viruses in populations. These findings highlight the importance of maintaining sero-surveillance of and the necessity for further, more comprehensive investigations to monitor changes in virus prevalence, distribution over time, and across different geographic locations.

摘要

简介

果蝠是非洲分布最广的果蝠之一,已知是几种能引起动物和人类疾病的致病病毒的宿主。为了评估人畜共患病溢出的风险,我们对尼日利亚马库尔迪市因食用而捕获的 304 份蝙蝠血清样本进行了血清学调查。

方法

我们使用假型病毒筛选了 304 份血清样本,以检测针对 和 科病毒的中和抗体。

结果

我们报告了针对亨德拉病毒 GH-M74a 病毒(优势比 6.23;<0.001)、尼帕病毒(优势比 4.04;=0.00031)、蝙蝠流感 H17N10 病毒(优势比 7.25;<0.001)的中和抗体的存在,但与埃博拉病毒无显著关联(优势比 0.56;=0.375)。

结论

这些数据表明存在人畜共患病溢出的潜在风险,包括高致病性病毒在蝙蝠种群中的可能传播。这些发现强调了对 和进行血清监测的重要性,需要进一步更全面的调查来监测病毒流行率、随时间的变化以及在不同地理区域的分布变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf81/10723585/569b7d5bf762/fpubh-11-1283113-g001.jpg

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