Giraud-Gatineau Alexandre, Dagbo Kouessi, Pětrošová Helena, Werts Catherine, Veyrier Fréderic J, Picardeau Mathieu
Biology of Spirochetes Unit, Institut Pasteur, Université Paris Cité, Paris, France.
Bacterial Symbionts Evolution, Centre Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique, Université du Québec, Laval, Canada.
J Med Microbiol. 2025 Sep;74(9). doi: 10.1099/jmm.0.002059.
Leptospirosis is a re-emerging zoonosis caused by a diverse range of pathogenic , which are divided into species, serogroups and serovars. Although advances in genomics have recently refined species classification, serotyping, which is based on the antigenic variability of lipopolysaccharides O-antigens, still relies heavily on traditional and labour-intensive methods. In addition, the molecular basis of serovar diversity is not fully understood, which poses challenges for rapid and accurate serovar and/or serogroup identification. However, identification of serovars remains crucial for epidemiological studies, surveillance, diagnostics, understanding host-pathogen interactions and vaccine development. In this review, we assess current techniques for serovar and serogroup identification and explore emerging DNA-based methodologies for serovar and serogroup prediction.
钩端螺旋体病是一种再度出现的人畜共患病，由多种致病性钩端螺旋体引起，这些病原体可分为种、血清群和血清型。尽管基因组学的进展最近完善了物种分类，但基于脂多糖O抗原抗原变异性的血清分型仍严重依赖传统且 labor-intensive 方法。此外，血清型多样性的分子基础尚未完全了解，这给快速准确鉴定血清型和/或血清群带来了挑战。然而，血清型的鉴定对于流行病学研究、监测、诊断、理解宿主-病原体相互作用以及疫苗开发仍然至关重要。在本综述中，我们评估了目前血清型和血清群鉴定技术，并探索了新兴的基于DNA的血清型和血清群预测方法。 （注：“labor-intensive”未翻译，因为原文可能拼写有误，推测可能是“labor-intensive”，意为“劳动密集型的” ）
