Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review.

IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES
Yu Lan, Isabel Rancu, Melanie H Chitwood, Benjamin Sobkowiak, Kate Nyhan, Hsien-Ho Lin, Chieh-Yin Wu, Barun Mathema, Tyler S Brown, Caroline Colijn, Joshua L Warren, Ted Cohen
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Abstract

Tuberculosis remains a leading cause of infection-related mortality, and efforts to reduce its incidence have been hindered by an incomplete understanding of local Mycobacterium tuberculosis transmission dynamics. Advances in pathogen sequencing and spatial analysis have created new opportunities to map M tuberculosis transmission patterns more precisely. In this scoping review, we searched for studies combining pathogen genetics and location data to analyse the spatial patterns of M tuberculosis transmission and identified 142 studies published between 1994 and 2024. Secular changes in genetic methods were observed, with genome sequencing approaches largely replacing lower-resolution genotyping methods since 2020. The included studies addressed four primary research questions: how are tuberculosis cases and M tuberculosis transmission clusters geographically distributed; do spatially concentrated M tuberculosis clusters exist, and where are these areas located; when spatial concentration occurs, what host, pathogen, or environmental factors contribute to these patterns; and do identifiable relationships exist between the spatial proximity of tuberculosis cases and the genetic similarity of the M tuberculosis isolates infecting these individuals? Collectively, in this Review, we examined the available study data, evaluated the analytical requirements for addressing these questions, and discussed opportunities and challenges for future research. We found that the integration of spatial and genomic data can inform a detailed understanding of local M tuberculosis transmission patterns, but improved study designs and new analytical methods to address gaps in sampling completeness and to integrate additional movement data are needed to fully realise the potential of these tools.

整合基因组和空间分析来描述结核病传播:范围综述。
结核病仍然是感染相关死亡的主要原因,由于对当地结核分枝杆菌传播动态的不完全了解,降低其发病率的努力受到阻碍。病原体测序和空间分析的进展为更精确地绘制结核分枝杆菌传播模式创造了新的机会。在这篇范围综述中,我们检索了结合病原体遗传学和位置数据的研究,以分析结核分枝杆菌传播的空间模式,并确定了1994年至2024年间发表的142项研究。观察到遗传方法的长期变化,自2020年以来,基因组测序方法在很大程度上取代了低分辨率的基因分型方法。纳入的研究解决了四个主要研究问题:结核病病例和结核分枝杆菌传播集群的地理分布如何;是否存在空间上集中的结核分枝杆菌群集,这些区域位于何处;当空间集中发生时,哪些宿主、病原体或环境因素促成了这些模式;结核病病例的空间接近性与感染这些个体的结核分枝杆菌分离株的遗传相似性之间是否存在可识别的关系?总的来说,在这篇综述中,我们检查了现有的研究数据,评估了解决这些问题的分析要求,并讨论了未来研究的机遇和挑战。我们发现,空间和基因组数据的整合可以为详细了解当地结核分枝杆菌传播模式提供信息,但需要改进研究设计和新的分析方法来解决采样完整性方面的差距,并整合额外的运动数据,以充分发挥这些工具的潜力。
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来源期刊
Lancet Microbe
Lancet Microbe Multiple-
CiteScore
27.20
自引率
0.80%
发文量
278
审稿时长
6 weeks
期刊介绍: The Lancet Microbe is a gold open access journal committed to publishing content relevant to clinical microbiologists worldwide, with a focus on studies that advance clinical understanding, challenge the status quo, and advocate change in health policy.
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