Suppr超能文献

马粒细胞埃立克体病 28 年后。

Equine Granulocytic Anaplasmosis 28 years later.

机构信息

Department of Clinical Medicine and Surgery, University of Veterinary and Animal Sciences, Lahore, 54600, Pakistan.

Department of Clinical Medicine and Surgery, University of Veterinary and Animal Sciences, Lahore, 54600, Pakistan.

出版信息

Microb Pathog. 2018 Jun;119:1-8. doi: 10.1016/j.micpath.2018.04.001. Epub 2018 Apr 4.

Abstract

Equine granulocytic anaplasmosis (EGA) is an important tick borne disease of equines that is caused by Anaplasma phagocytophilum (A. phagocytophilum). The etiological agent has veterinary as well as public health importance because of its zoonotic nature. A. phagocytophilum causes an acute illness in equines with loss of appetite, lethargy, hemorrhages and lameness. Clinically, EGA is diagnosed upon examination of morulae within neutrophils especially granulocytes in the blood. The best diagnostic tool for the detection of EGA is Polymerase chain reaction (PCR). Previous studies suggested that EGA is a self-limiting disease and tetracycline therapy is considered as a best treatment regimen. There is no comprehensive summary on the occurrence and distribution of the infection at global level. Therefore, we intended to provide a comprehensive summary on the prevalence and epidemiology of EGA in different areas of the world. It includes mapping the global distribution of EGA in different areas of the world to identify the endemic regions which may be a source of potential disease outbreak. For this purpose, the published data from 1990 to 2018 on EGA was reviewed and collected by electronic literature search of five databases including Google, Google Scholar, Science Direct, PubMed and Web of Science.

摘要

马粒细胞无形体病(EGA)是一种重要的马属动物蜱传疾病,由细胞内寄生菌(A. phagocytophilum)引起。由于其人畜共患的性质,这种病原体对兽医和公共卫生都具有重要意义。细胞内寄生菌在马属动物中引起急性疾病,表现为食欲不振、嗜睡、出血和跛行。临床上,通过检查血液中嗜中性粒细胞特别是嗜中性粒细胞内的菌栓来诊断 EGA。检测 EGA 的最佳诊断工具是聚合酶链反应(PCR)。先前的研究表明,EGA 是一种自限性疾病,四环素治疗被认为是最佳治疗方案。目前还没有关于全球范围内感染发生和分布的综合总结。因此,我们旨在对世界不同地区 EGA 的流行情况和流行病学进行全面总结。它包括绘制 EGA 在世界不同地区的全球分布地图,以确定可能是潜在疾病爆发源的地方性流行区域。为此,对 1990 年至 2018 年期间发表的关于 EGA 的数据进行了回顾,并通过对五个数据库(包括 Google、Google Scholar、Science Direct、PubMed 和 Web of Science)的电子文献搜索进行了收集。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验