Advances in diagnosis of gastrointestinal nematodes in livestock and companion animals.

3区 医学 Q1 Immunology and Microbiology
Laura Rinaldi, J Krücken, M Martinez-Valladares, P Pepe, M P Maurelli, C de Queiroz, V Castilla Gómez de Agüero, T Wang, Giuseppe Cringoli, J Charlier, J S Gilleard, G von Samson-Himmelstjerna
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引用次数: 4

Abstract

Diagnosis of gastrointestinal nematodes in livestock and companion animals has been neglected for years and there has been an historical underinvestment in the development and improvement of diagnostic tools, undermining the undoubted utility of surveillance and control programmes. However, a new impetus by the scientific community and the quickening pace of technological innovations, are promoting a renaissance of interest in developing diagnostic capacity for nematode infections in veterinary parasitology. A cross-cutting priority for diagnostic tools is the development of pen-side tests and associated decision support tools that rapidly inform on the levels of infection and morbidity. This includes development of scalable, parasite detection using artificial intelligence for automated counting of parasitic elements and research towards establishing biomarkers using innovative molecular and proteomic methods. The aim of this review is to assess the state-of-the-art in the diagnosis of helminth infections in livestock and companion animals and presents the current advances of diagnostic methods for intestinal parasites harnessing (i) automated methods for copromicroscopy based on artificial intelligence, (ii) immunodiagnosis, and (iii) molecular- and proteome-based approaches. Regardless of the method used, multiple factors need to be considered before diagnostics test results can be interpreted in terms of control decisions. Guidelines on how to apply diagnostics and how to interpret test results in different animal species are increasingly requested and some were recently made available in veterinary parasitology for the different domestic species.

家畜及伴侣动物胃肠道线虫的诊断进展。
牲畜和伴侣动物胃肠道线虫的诊断多年来一直被忽视,而且在开发和改进诊断工具方面一直存在投资不足的历史,这破坏了监测和控制规划无疑的效用。然而,科学界的新动力和技术创新步伐的加快,正在促进对发展兽医寄生虫学中线虫感染诊断能力的兴趣的复兴。诊断工具的一个跨领域优先事项是开发笔侧测试和相关的决策支持工具,以迅速了解感染和发病率水平。这包括使用人工智能开发可扩展的寄生虫检测,用于寄生虫元素的自动计数,以及使用创新的分子和蛋白质组学方法建立生物标志物的研究。本综述的目的是评估家畜和伴侣动物寄生虫感染诊断的最新进展,并介绍肠道寄生虫诊断方法的最新进展,包括:(i)基于人工智能的copromicroscopy自动化方法,(ii)免疫诊断,以及(iii)基于分子和蛋白质组学的方法。无论使用何种方法,在根据控制决策解释诊断测试结果之前,都需要考虑多个因素。越来越多的人要求关于如何在不同动物物种中应用诊断和如何解释检测结果的准则,最近在兽医寄生虫学中针对不同家养动物物种提供了一些准则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Parasitology
Advances in Parasitology 医学-寄生虫学
CiteScore
9.00
自引率
0.00%
发文量
28
审稿时长
>12 weeks
期刊介绍: Advances in Parasitology is recognised as a leading review serial which is consistently well placed in terms of impact factor and citations. Major reviews on all aspects of medical, veterinary and wild-life parasitology are considered. The journal provides an outlet for authoritative reviews from experts in the field. While emphasis is given to modern molecular approaches contributions across all disciplines are encouraged including traditional areas such as ecology and taxonomy. Eclectic volumes are supplemented by thematic volumes dedicated to a particular topic of recognised interest and importance.
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