巴西牲畜中的隐孢子虫:对动物和人类健康的低估威胁

IF 1.7 Q3 PARASITOLOGY
Vinícius Longo Ribeiro Vilela , Thais Ferreira Feitosa , Welitânia Inácia Silva , Frank Katzer
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引用次数: 0

摘要

在巴西,牲畜中的隐孢子虫感染是对动物和人类健康的重大威胁,但尚未得到充分认识。本系统综述旨在确定和综合有关地理分布、宿主种类、年龄组、诊断方法、感染率以及已确定的隐孢子虫种类和亚型的现有数据,并评估其与腹泻的潜在关联以及生产动物感染的人畜共患影响。共纳入文献82篇,其中流行病学调查78篇,病例报告4篇。大多数研究集中在东南部地区,主要是在圣保罗州。牛是最常被研究的物种(n = 49),其次是绵羊(n = 12)、马(n = 8)、猪(n = 6)、山羊(n = 5)和水牛(n = 2)。诊断方法多种多样,显微镜是主要技术,限制了物种鉴定。分子方法,包括巢式PCR,在较小的研究子集中使用,提供更精确的物种鉴定。细小隐孢子虫IIaA15G2R1亚型最常见。这些发现强调需要标准化的诊断方法和加强监测,以便更好地了解巴西牲畜隐孢子虫感染的流行病学。解决这些差距对于实施有效的控制措施和减轻与这些感染相关的人畜共患疾病风险至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cryptosporidium spp. in livestock in Brazil: An underestimated threat to animal and human health

Cryptosporidium spp. in livestock in Brazil: An underestimated threat to animal and human health
Cryptosporidium spp. infections in livestock are a significant yet underrecognized threat to both animal and human health in Brazil. This systematic review aimed to identify and synthesize available data on the geographical distribution, host species, age groups, diagnostic methods, infection rates, and Cryptosporidium species and subtypes identified, as well as to assess potential associations with diarrhea and the zoonotic impact of infections in production animals. A total of 82 articles were included, comprising 78 epidemiological investigations and 4 case reports. The majority of studies were concentrated in the Southeast region, mainly in the State of São Paulo. Cattle were the most frequently studied species (n = 49 articles), followed by sheep (n = 12), horses (n = 8), pigs (n = 6), goats (n = 5), and buffaloes (n = 2). Diagnostic methods varied, with microscopy being the predominant technique, limiting species identification. Molecular methods, including nested PCR, were employed in a smaller subset of studies, providing more precise species identification. Cryptosporidium parvum subtype IIaA15G2R1 was the most prevalent. The findings underscore the need for standardized diagnostic approaches and enhanced surveillance to better understand the epidemiology of Cryptosporidium infections in Brazilian livestock. Addressing these gaps is crucial for implementing effective control measures and mitigating the zoonotic risks associated with these infections.
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