A Large-Scale Serological Survey in Pets From October 2020 Through June 2021 in France Shows Significantly Higher Exposure to SARS-CoV-2 in Cats Compared to Dogs

IF 2.4 2区 农林科学 Q3 INFECTIOUS DISEASES Zoonoses and Public Health Pub Date : 2024-12-08 DOI:10.1111/zph.13198
Matthieu Fritz, Eric Elguero, Pierre Becquart, Daphné De Riols de Fonclare, Déborah Garcia, Stephanie Beurlet, Solène Denolly, Bertrand Boson, Serge G. Rosolen, François-Loïc Cosset, Alexandra Briend-Marchal, Vincent Legros, Eric M. Leroy
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Abstract

Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has the potential to infect various animals, including domestic pets like dogs and cats. Many studies have documented infection in companion animals by molecular and serological methods. However, only a few have compared seroprevalence in cats and dogs from the general population, and these studies were limited by small sample sizes and collections over short periods. Our aim was to obtain a more accurate evaluation of seroprevalence in companion animals in France and to determine whether cats and dogs differ in their exposure to SARS-CoV-2.

Methods

We conducted an extensive serological survey of SARS-CoV-2, collecting blood samples from 2036 cats and 3577 dogs during routine veterinary medical examinations across different regions of metropolitan France from October 2020 to June 2021. This period encompassed the peaks and onset of two waves, as well as the emergence of the first variants. A microsphere immunoassay targeting the receptor-binding domain and trimeric spike protein was used to detect anti-SARS-CoV-2 antibodies. A subset of 308 seropositive samples was tested for the presence of neutralising antibodies.

Results

We determined an overall seroprevalence of anti-SARS-CoV-2 antibodies of 7.1% (95% confidence interval [CI]: 6.4%–7.8%) among the sampled pets. Cats exhibited a significantly higher seroprevalence (9.3%; 95% CI: 8.1%–10.1%) compared to dogs (5.9%; 95% CI: 5.2%–6.8%). Among the subset of seropositive samples, 81 (26.3%; 95% CI: 21.5%–31.6%) displayed neutralizing antibodies. Furthermore, seroprevalence in both species was lower in older animals and was not associated with sex. Finally, unlike cats, seroprevalence in dogs was found to be correlated with the date of sampling.

Conclusions

The large sample size enhances the reliability and statistical robustness of our estimates regarding pet exposure to SARS-CoV-2. This study on SARS-CoV-2 reaffirms the crucial importance of adopting a One Health approach incorporating domestic animals when managing an epidemic caused by a zoonotic virus.

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2020 年 10 月至 2021 年 6 月在法国对宠物进行的大规模血清学调查显示,猫感染 SARS-CoV-2 的几率明显高于狗。
简介:严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)有可能感染各种动物,包括狗和猫等家养宠物。许多研究通过分子和血清学方法记录了伴侣动物的感染。然而,只有少数研究比较了普通人群中猫和狗的血清患病率,而且这些研究受到样本量小和收集时间短的限制。我们的目的是更准确地评估法国伴侣动物的血清阳性率,并确定猫和狗在暴露于SARS-CoV-2方面是否存在差异。方法:2020年10月至2021年6月,我们在法国大都市不同地区的常规兽医体检中采集了2036只猫和3577只狗的血液样本,对SARS-CoV-2进行了广泛的血清学调查。这一时期包含了两次浪潮的高峰和开始,以及第一次变体的出现。采用靶向受体结合域和三聚体刺突蛋白的微球免疫分析法检测抗sars - cov -2抗体。对308个血清阳性样本进行了中和抗体检测。结果:我们确定了样本宠物中抗sars - cov -2抗体的总体血清阳性率为7.1%(95%置信区间[CI]: 6.4%-7.8%)。猫的血清患病率明显更高(9.3%;95% CI: 8.1%-10.1%),而狗(5.9%;95% ci: 5.2%-6.8%)。在血清阳性样本亚群中,81例(26.3%;95% CI: 21.5%-31.6%)显示中和抗体。此外,这两种动物的血清阳性率在老年动物中较低,且与性别无关。最后,与猫不同的是,狗的血清患病率与采样日期有关。结论:大样本量增强了我们关于宠物暴露于SARS-CoV-2估计的可靠性和统计稳健性。这项关于SARS-CoV-2的研究重申了在管理由人畜共患病毒引起的流行病时,采用包括家畜在内的“同一个健康”方法的至关重要性。
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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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