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Seroprevalence of Five Zoonotic Pathogens in Wild Ruminants in Xinjiang, Northwest China

文献类型： 外文期刊

作者： Wu, Jian-Yong 1 ; Li, Jian-Jun 1 ; Wang, Deng-Feng 1 ; Wei, Yu-Rong 1 ; Meng, Xiao-Xiao 1 ; Tuerxun, Gunuer 1 ; Bolati 1 ;

作者机构： 1.Xinjiang Acad Anim Sci, Inst Vet Med, 726 Dongrong St, Urumqi 830013, Peoples R China

2.Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou, Peoples R China

3.Wildlife Focus Dis Monitoring Stn Xinjiang, Urumqi, Peoples R China

关键词： wild ruminants; C; burnetii; C; abortus; zoonotic disease; seroprevalences

期刊名称：VECTOR-BORNE AND ZOONOTIC DISEASES （ 影响因子：2.133； 五年影响因子：2.491 ）

ISSN： 1530-3667

年卷期：

页码：

收录情况： SCI

摘要： Wild ruminants are at risk for zoonotic pathogen infection as a result of interactions with domestic animals and humans. One way to assess the level of a wild ruminant disease in a population is to determine the seroprevalence of the pathogen of interest. The objective of this study was to determine the seroprevalence of five zoonotic pathogens in wild ruminants in Xinjiang, Northwest China. In 2009 and 2011-2015, 258 wild ruminant sera samples were collected from various species. Samples were obtained from 30 Siberian ibexes, 94 goitered gazelles, 6 Tibetan antelopes, 32 argali sheep, 16 roe deer, 20 blue sheep, 56 red deer, and 4 wild yaks, in 10 regions of Xinjiang. Samples were tested using antibodies againstBrucella spp.,Chlamydophila abortus,Coxiella burnetii,Toxoplasma gondii, and West Nile virus. Seropositivity was detected for all five pathogens, with detection rates ofBrucella spp.,C. abortus,C. burnetii,T. gondii,and West Nile virus of 2.3% (95% confidence interval [CI], 0.5-4.2%), 6.2% (95% CI, 3.3-9.1%), 7.8% (95% CI, 4.5-11.0%), 2.3% (95% CI, 0.5-4.2%), and 0.8% (95% CI, 0-1.8%), respectively. The level of pathogens differed for different species and different regions. The results indicate that seropositivity to zoonotic pathogens is common among wild ruminants in Xinjiang, Northwest China, withC. burnetiiandC. abortusdetected at the highest levels. This study provides a baseline for future assessment of spillover events.

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