Suppr超能文献

基于基因组学的百日咳博德特氏菌适应性研究的作用。

A role for genomics-based studies of Bordetella pertussis adaptation.

作者信息

Cameron Sarah K, Preston Andrew

机构信息

The Milner Centre for Evolution and Department of Life Sciences, University of Bath, Bath, United Kingdom.

出版信息

Curr Opin Infect Dis. 2025 Jun 1;38(3):201-207. doi: 10.1097/QCO.0000000000001109. Epub 2025 Apr 21.

Abstract

PURPOSE OF REVIEW

Cases of whooping cough (pertussis) have rebounded strongly from the very low incidence observed during the pandemic. This re-emergence is characterized by changes in epidemiology. Here we describe the importance of genomics to monitor and understand the drivers to these changes.

RECENT FINDINGS

Changes in the genotype of strains isolated during recent outbreaks suggests that the pandemic disturbed the global Bordetella pertussis population structure. The emergence of dominant and antibiotic-resistant clones in China is of concern even though the source of antibiotic selection pressure on B. pertussis is unclear. A recent study illustrates how to use genomic data to go beyond just surveillance, inferring the relative fitness of genotypes and the identification of specific mutations distinguishing such lineages. Such approaches are required to understand the forces driving adaptation.

SUMMARY

Pertussis is resurgent in many countries, involving changes in epidemiology and strong suggestions of strain adaptation. The continued use of vaccination, and design of new interventions, to control pertussis requires an understanding of these changes. Genomic analyses will be key to this, involving integration of more complete host and pathogen parameters than have been used to date.

摘要

综述目的

百日咳病例已从疫情期间观察到的极低发病率强劲反弹。这种再度出现的特点是流行病学发生了变化。在此,我们描述基因组学对于监测和理解这些变化驱动因素的重要性。

最新发现

近期疫情期间分离出的菌株基因型变化表明,疫情扰乱了全球百日咳博德特氏菌的种群结构。尽管百日咳博德特氏菌抗生素选择压力的来源尚不清楚,但中国优势和耐药克隆的出现令人担忧。最近的一项研究说明了如何利用基因组数据不仅仅进行监测,还能推断基因型的相对适应性以及识别区分此类谱系的特定突变。需要采用此类方法来理解驱动适应性的因素。

总结

百日咳在许多国家再度流行,涉及流行病学变化以及菌株适应性的有力证据。持续使用疫苗以及设计新的干预措施来控制百日咳需要了解这些变化。基因组分析将是关键,这涉及整合比迄今所使用的更完整的宿主和病原体参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f20/12052047/eff2028113f4/coidi-38-201-g001.jpg

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