Feline strongyloidiasis: An insight into its global prevalence and transmission cycle

IF 4.1 2区 医学 Q1 INFECTIOUS DISEASES One Health Pub Date : 2024-06-20 DOI:10.1016/j.onehlt.2024.100842
Huan Zhao, Richard Stewart Bradbury
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Abstract

The potential cross-transmission of Strongyloides stercoralis between dogs and humans has become an increasing focus of strongyloidiasis research and control programs. However, the role of cats and wild felids in the maintenance and transmission cycles of human and canine strongyloidiasis has received sparse attention. Feline strongyloidiasis epidemiology remain enigmatic. We conducted a systematic review and meta-analysis to assess the global prevalence of Strongyloides spp. in felines and reviewed cross-species infection studies to elucidate the transmission cycle of some feline Strongyloides species. Literature searched from seven databases identified 42 eligible prevalence studies published between 1985 and 2024. Of these, 44 datasets from 40 studies were included in the meta-analysis. Using a random effect model combined with the Rogan-Gladen method, we estimated the pooled global prevalence of Strongyloides spp. in felines at 13.3% (95% CI: 8.3–18.3%), with rates of 12.2% (95% CI: 6.7–17.8%) in domestic cats (Felis catus) and 20.0% (95% CI: 14.9–25.2%) in wild felids. Feline strongyloidiasis was distributed across all six WHO regions, with Africa (49.7%; 95% CI: 40.0–59.3%) and the Western Pacific (46.9%; 95% CI: 42.6–51.1%) showing the highest pooled prevalence. Subgroup analysis revealed a significantly higher prevalence of Strongyloides infection in stray domestic cats (29.2%; 95% CI: 6.3–52.1%) compared to pet cats (9.3%; 95% CI: 3.7–14.9) and shelter cats (4.4; 95% CI: 0–9.0). Historical cross-species transmission studies demonstrated variable susceptibility of cats to human- or canine-derived S. stercoralis. It remains inconclusive whether cats act as a reservoir for S. stercoralis infection in humans or vice versa. Feline strongyloidiasis is a prevalent condition in wild, stray, pet and shelter cats. Much of the available prevalence data does not discriminate to species level, and the role of cross-species transmission in feline S. stercoralis infections remains obscure. Future studies would benefit from utilising molecular genotyping tools to enable species-level phylogenetic differentiation.

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猫强直性脊柱炎:深入了解其全球流行情况和传播周期
狗与人之间可能存在的盘尾丝虫交叉传播已日益成为强直性脊柱炎研究和控制项目的重点。然而,猫科动物和野生猫科动物在人类和犬类强直性脊柱炎的维持和传播周期中所起的作用却很少受到关注。猫科强直性脊柱炎的流行病学仍然是个谜。我们进行了一项系统综述和荟萃分析,以评估全球猫科动物中强丝虫属的流行情况,并回顾了跨物种感染研究,以阐明一些猫科动物强丝虫属的传播周期。通过对七个数据库的文献检索,确定了 42 项符合条件的流行率研究,这些研究发表于 1985 年至 2024 年之间。其中,来自 40 项研究的 44 个数据集被纳入荟萃分析。利用随机效应模型结合罗根-格拉登方法,我们估算出全球猫科动物中的强直性脊柱炎流行率为 13.3% (95% CI: 8.3-18.3%),其中家猫(Felis catus)的流行率为 12.2% (95% CI: 6.7-17.8%),野生猫科动物的流行率为 20.0% (95% CI: 14.9-25.2%)。猫科强直性脊柱炎分布在世界卫生组织的所有六个地区,其中非洲(49.7%;95% CI:40.0-59.3%)和西太平洋(46.9%;95% CI:42.6-51.1%)的综合流行率最高。亚组分析显示,与宠物猫(9.3%;95% CI:3.7-14.9)和收容所猫(4.4;95% CI:0-9.0)相比,流浪家猫(29.2%;95% CI:6.3-52.1%)的斯特龙线虫感染率明显更高。历史上的跨物种传播研究表明,猫对源自人类或犬的盘尾丝虫病的易感性各不相同。目前尚无定论,猫是否会成为人感染带状孢子虫的储库,反之亦然。猫盘尾丝虫病在野生猫、流浪猫、宠物猫和收容所猫中普遍存在。现有的流行率数据大多不区分物种,跨物种传播在猫类盘尾丝虫病感染中的作用仍不明显。未来的研究将受益于分子基因分型工具,以实现物种水平的系统发育区分。
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来源期刊
One Health
One Health Medicine-Infectious Diseases
CiteScore
8.10
自引率
4.00%
发文量
95
审稿时长
18 weeks
期刊介绍: One Health - a Gold Open Access journal. The mission of One Health is to provide a platform for rapid communication of high quality scientific knowledge on inter- and intra-species pathogen transmission, bringing together leading experts in virology, bacteriology, parasitology, mycology, vectors and vector-borne diseases, tropical health, veterinary sciences, pathology, immunology, food safety, mathematical modelling, epidemiology, public health research and emergency preparedness. As a Gold Open Access journal, a fee is payable on acceptance of the paper. Please see the Guide for Authors for more information. Submissions to the following categories are welcome: Virology, Bacteriology, Parasitology, Mycology, Vectors and vector-borne diseases, Co-infections and co-morbidities, Disease spatial surveillance, Modelling, Tropical Health, Discovery, Ecosystem Health, Public Health.
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