在废水中发现的与爆发有关的拜尔登沙门氏菌表明,污水监测可作为传统疾病监测的补充。

IF 6.1 2区 医学 Q1 MICROBIOLOGY
Journal of Clinical Microbiology Pub Date : 2024-10-16 Epub Date: 2024-09-19 DOI:10.1128/jcm.00825-24
Nkuchia M M'ikanatha, Zoe S Goldblum, Nicholas Cesari, Erin M Nawrocki, Yezhi Fu, Jasna Kovac, Edward G Dudley
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引用次数: 0

摘要

非伤寒沙门氏菌是全球肠胃炎的常见病因,但目前对非伤寒沙门氏菌的监测效果并不理想。在此,我们评估了废水监测在加强对这种食源性病原体的传统监测方面的效用。2022 年 6 月,我们对宾夕法尼亚州中部两家污水处理厂每周收集两次的原污水进行了非伤寒沙门氏菌检测,并使用全基因组测序对分离菌株进行了鉴定。我们从污水样本中分离出 43 株沙门氏菌,通过基因组分析将其分为 7 个血清型:巴拿马 16 个(37.2%)、森夫滕贝格 9 个(20.9%)、拜尔登 8 个(18.6%)以及其他 4 个血清型中的 3 个或更少。我们评估了这些废水分离物与沙门氏菌病患者分离物之间的遗传亲缘关系和流行病学联系。所有从废水中分离出的 S. Baildon 与同时爆发的已知沙门氏菌病相关的 S. Baildon 在遗传学上相似。从废水中分离出的白喉杆菌与国家疫情检测数据库中与疫情相关的 42 个分离物的核心基因组多焦点序列分型相同,疫情代码相差 0 或 1 个单多核苷酸多态性。42 个疫情相关分离株中有一个是从居住在废水样本收集集水区的一名患者身上获得的,该集水区约有 17000 人。重要意义在 COVID-19 大流行期间,监测废水中的 SARS-CoV-2 非常有效,比临床监测方法更早地发现了令人担忧的变种。在此,我们证明了对生活污水的监测也能增强公共卫生机构对食源性疾病的传统报告能力。我们的研究在宾夕法尼亚州中部两家污水处理厂的样本中检测到多种肠炎沙门氏菌血清型。通过全基因组测序,我们证明了变异型 S. Baildon 的分离物与在类似时间段内爆发的食源性沙门氏菌病的分离物聚集在一起。病例主要来自宾夕法尼亚州,其中一人居住在污水处理集水区。这项研究强调了生活污水检测作为一种积极的公共卫生策略在跟踪和应对传染病爆发方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outbreak-associated Salmonella Baildon found in wastewater demonstrates how sewage monitoring can supplement traditional disease surveillance.

Non-typhoidal Salmonella is a common cause of gastroenteritis worldwide, but current non-typhoidal Salmonella surveillance is suboptimal. Here, we evaluated the utility of wastewater monitoring to enhance traditional surveillance for this foodborne pathogen. In June 2022, we tested raw sewage collected twice a week from two treatment plants in central Pennsylvania for non-typhoidal Salmonella and characterized isolates using whole-genome sequencing. We recovered 43 Salmonella isolates from wastewater samples, differentiated by genomic analysis into seven serovars: 16 Panama (37.2%), 9 Senftenberg (20.9%), 8 Baildon (18.6%), and 3 or fewer of four other serovars. We assessed genetic relatedness and epidemiologic links between these wastewater isolates with those from patients with salmonellosis. All S. Baildon isolates from wastewater were genetically similar to those associated with a known contemporaneous salmonellosis outbreak. S. Baildon from wastewater and 42 outbreak-related isolates in the national outbreak detection database had the same core genome multilocus sequence typing, and outbreak code differed by zero or one single polynucleotide polymorphism. One of the 42 outbreak-related isolates was obtained from a patient residing in the wastewater sample collection catchment area, which serves approximately 17000 people. S. Baildon is a rare serovar (reported in <1% cases nationally, over five years). Our study underscores the value of monitoring sewage from a defined population to supplement traditional surveillance methods for the evidence of Salmonella infections and to determine the extent of outbreaks.IMPORTANCEDuring the COVID-19 pandemic, monitoring for SARS-CoV-2 in wastewater was highly effective in identifying the variants of concern earlier than clinical surveillance methods. Here, we show that monitoring domestic sewage can also augment traditional reporting of foodborne illnesses to public health authorities. Our study detected multiple Salmonella enterica serovars in samples from two wastewater treatment plants in central Pennsylvania. Using whole-genome sequencing, we demonstrated that the isolates of variant S. Baildon clustered with those from a foodborne salmonellosis outbreak that occurred in a similar time frame. Cases were primarily from Pennsylvania, and one individual lived within the wastewater treatment catchment area. This study highlights the effectiveness of domestic sewage testing as a proactive public health strategy to track and respond to infectious disease outbreaks.

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来源期刊
Journal of Clinical Microbiology
Journal of Clinical Microbiology 医学-微生物学
CiteScore
17.10
自引率
4.30%
发文量
347
审稿时长
3 months
期刊介绍: The Journal of Clinical Microbiology® disseminates the latest research concerning the laboratory diagnosis of human and animal infections, along with the laboratory's role in epidemiology and the management of infectious diseases.
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