2021-22 年美国犹他州霍格尔动物园非洲狮(Panthera leo)和人类中的 SARS-CoV-2 delta 变种。

IF 2.4 2区 农林科学 Q3 INFECTIOUS DISEASES
Heather Oltjen, Erika Crook, William A. Lanier, Hannah Rettler, Kelly F. Oakeson, Erin L. Young, Mia Torchetti, Arnaud J. Van Wettere
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引用次数: 0

摘要

目的:2021 年 10 月至 2022 年 2 月期间,我们在盐湖城犹他州霍格尔动物园开展了一项 "统一健康调查",以评估非洲狮(Panthera leo)感染 SARS-CoV-2 的来源和传播动态:在观察到狮子呼吸道疾病后,动物园工作人员采集了四头狮子的粪便样本和鼻拭子样本。通过反转录聚合酶链反应(RT-PCR),所有样本的 SARS-CoV-2 检测结果均呈阳性。调查结果包括:观察狮子;每 1-7 天对狮子粪便进行一次 RT-PCR 检测;每 2-3 周对狮子呼吸道标本进行一次 RT-PCR 检测;对工作人员进行访谈和 RT-PCR 检测;对狮子和工作人员身上的病毒进行全基因组测序;以及与现有的 SARS-CoV-2 人类社区监测序列进行比较。除全部五头狮子外,还有三名工作人员出现呼吸道症状。所有狮子均已康复,没有工作人员住院或死亡的报告。据报告,有三名工作人员在狮子发病前的 10 天内与狮子有过密切接触,其中一人在狮子发病后的第 3 天和第 4 天出现症状,并在 SARS-CoV-2 检测中呈阳性反应。另外两人没有出现症状,检测结果也呈阳性。两名与狮子没有密切接触的工作人员分别在狮子发病后的第 5 天和第 8 天出现症状,检测结果呈阳性。发病后 33 天,我们在狮子粪便中检测到 SARS-CoV-2 RNA,14 周后在狮子呼吸道标本中检测到 SARS-CoV-2 RNA。狮子体内的病毒与工作人员体内的病毒以及盐湖县的两份同期监测标本的病毒在基因上高度相关;所有病毒都是 delta 变种(AY.44):我们没有确定这些感染的来源,尽管很可能发生了人对狮子的传播。观察到的呼吸道脱落期比以前记录的大型猫科动物感染 SARS-CoV-2 的时间要长,这表明有必要进一步评估脱落的持续时间和潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SARS-CoV-2 delta variant in African lions (Panthera leo) and humans at Utah's Hogle Zoo, USA, 2021–22

Aims

We conducted a One Health investigation to assess the source and transmission dynamics of SARS-CoV-2 infection in African lions (Panthera leo) at Utah's Hogle Zoo in Salt Lake City from October 2021 to February 2022.

Methods and Results

Following observation of respiratory illness in the lions, zoo staff collected pooled faecal samples and individual nasal swabs from four lions. All specimens tested positive for SARS-CoV-2 by reverse transcription-polymerase chain reaction (RT-PCR). The resulting investigation included: lion observation; RT-PCR testing of lion faeces every 1–7 days; RT-PCR testing of lion respiratory specimens every 2–3 weeks; staff interviews and RT-PCR testing; whole-genome sequencing of viruses from lions and staff; and comparison with existing SARS-CoV-2 human community surveillance sequences. In addition to all five lions, three staff displayed respiratory symptoms. All lions recovered and no hospitalizations or deaths were reported among staff. Three staff reported close contact with the lions in the 10 days before lion illness onset, one of whom developed symptoms and tested positive for SARS-CoV-2 on days 3 and 4, respectively, after lion illness onset. The other two did not report symptoms or test positive. Two staff who did not have close contact with the lions were symptomatic and tested positive on days 5 and 8, respectively, after lion illness onset. We detected SARS-CoV-2 RNA in lion faeces for 33 days and in lion respiratory specimens for 14 weeks after illness onset. The viruses from lions were genetically highly related to those from staff and two contemporaneous surveillance specimens from Salt Lake County; all were delta variants (AY.44).

Conclusions

We did not determine the sources of these infections, although human-to-lion transmission likely occurred. The observed period of respiratory shedding was longer than in previously documented SARS-CoV-2 infections in large felids, indicating the need to further assess duration and potential implications of shedding.

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来源期刊
Zoonoses and Public Health
Zoonoses and Public Health 医学-传染病学
CiteScore
5.30
自引率
4.20%
发文量
115
审稿时长
6-12 weeks
期刊介绍: Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.
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