肯尼亚莱基皮亚县单峰骆驼(Camelus dromedarius)的烧伤柯西氏菌血清状态与附着蜱虫中烧伤柯西氏菌 DNA 的存在有关

IF 2.4 2区 农林科学 Q3 INFECTIOUS DISEASES
Tess Rooney, Eric M. Fèvre, Jandouwe Villinger, Maris Brenn-White, Charles O. Cummings, Daniel Chai, Joseph Kamau, Alice Kiyong'a, Dennis Getange, Dickens O. Ochieng, Velma Kivali, Dawn Zimmerman, Marieke Rosenbaum, Felicia B. Nutter, Sharon L. Deem
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引用次数: 0

摘要

目的Q热是一种全球分布的被忽视的人畜共患疾病,具有重要的保护和公共卫生意义,由烧伤柯克氏菌引起。烧伤科克西氏菌通常会导致家畜亚临床感染,但也可能导致半蹄类动物的生殖系统病变和自发性流产。单峰骆驼(Camelus dromedarius)就是这样一种偶蹄类动物,它是半干旱地区越来越重要的家畜物种。世界各地的骆驼都会自然感染蜱虫,在肯尼亚的骆驼身上也经常发现蜱虫。在这项研究中,我们评估了肯尼亚单峰骆驼的 C. burnetii 血清状态与骆驼是否携带 C. burnetii PCR 阳性蜱之间的关系。我们假设,骆驼血清阳性与携带C. burnetii PCR阳性蜱之间存在正相关。收集蜱虫(N = 4354),将同一骆驼(N = 397)的同种蜱虫分成若干池,并对其进行烧伤蜱和类柯西氏内生菌检测。使用描述性统计来总结骆驼人口统计学和临床变量的血清流行率。单变量逻辑回归分析用于评估血清状态(结果)与蜱PCR状态、骆驼人口统计学变量和骆驼临床变量(预测因素)之间的关系。骆驼的烧伤蜱血清阳性率为 52%。在所有蜱群中,烧伤蜱的感染率为15%,类柯西氏杆菌内生体的感染率为27%。结论蜱虫和骆驼在 Q 热流行病学中的作用值得进一步研究,以便更好地了解这种有可能导致人类、牲畜和野生动物患病并造成生殖损失的人畜共患疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Coxiella burnetii serostatus in dromedary camels (Camelus dromedarius) is associated with the presence of C. burnetii DNA in attached ticks in Laikipia County, Kenya

Coxiella burnetii serostatus in dromedary camels (Camelus dromedarius) is associated with the presence of C. burnetii DNA in attached ticks in Laikipia County, Kenya

Aims

Q fever is a globally distributed, neglected zoonotic disease of conservation and public health importance, caused by the bacterium Coxiella burnetii. Coxiella burnetii normally causes subclinical infections in livestock, but may also cause reproductive pathology and spontaneous abortions in artiodactyl species. One such artiodactyl, the dromedary camel (Camelus dromedarius), is an increasingly important livestock species in semi-arid landscapes. Ticks are naturally infected with C. burnetii worldwide and are frequently found on camels in Kenya. In this study, we assessed the relationship between dromedary camels' C. burnetii serostatus and whether the camels were carrying C. burnetii PCR-positive ticks in Kenya. We hypothesized that there would be a positive association between camel seropositivity and carrying C. burnetii PCR-positive ticks.

Methods and Results

Blood was collected from camels (N = 233) from three herds, and serum was analysed using commercial ELISA antibody test kits. Ticks were collected (N = 4354), divided into pools of the same species from the same camel (N = 397) and tested for C. burnetii and Coxiella-like endosymbionts. Descriptive statistics were used to summarize seroprevalence by camel demographic and clinical variables. Univariate logistic regression analyses were used to assess relationships between serostatus (outcome) and tick PCR status, camel demographic variables, and camel clinical variables (predictors). Camel C. burnetii seroprevalence was 52%. Across tick pools, the prevalence of C. burnetii was 15% and Coxiella-like endosymbionts was 27%. Camel seropositivity was significantly associated with the presence of a C. burnetii PCR-positive tick pool (OR: 2.58; 95% CI: 1.4–5.1; p = 0.0045), increasing age class, and increasing total solids.

Conclusions

The role of ticks and camels in the epidemiology of Q fever warrants further research to better understand this zoonotic disease that has potential to cause illness and reproductive losses in humans, livestock, and wildlife.

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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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