Javornik Cregeen Sara, Tisza Michael J, Hanson Blake, Cook Marissa, Surathu Anil, Schneider Rebecca, Wu Jingjing, Short Kirstin, Domakonda Kaavya, Hopkins Loren, Ross Matthew C, Petrosino Joseph F, Deegan Jennifer, Stadler Lauren B, Boerwinkle Eric, Maresso Anthony
Sara Javornik Cregeen, Michael J. Tisza, Marissa Cook, Anil Surathu, Matthew C. Ross, Joseph F. Petrosino, and Anthony Maresso are with The Alkek Center for Metagenomics and Microbiome Research and the Department of Molecular Virology and Microbiology at Baylor College of Medicine, Houston, TX. Blake Hanson, Jennifer Deegan, and Eric Boerwinkle are with the School of Public Health at University of Texas Health Science Center at Houston. Rebecca Schneider, Kirstin Short, Kaavya Domakonda, and Loren Hopkins are with the Houston Health Department. Jingjing Wu and Lauren B. Stadler are with the Department of Civil and Environmental Engineering at Rice University, Houston.
Am J Public Health. 2025 Jul;115(7):1115-1119. doi: 10.2105/AJPH.2025.308146. Epub 2025 May 8.
Measles is a potentially deadly viral infection spread via respiratory droplets from infected individuals. Outbreaks occur when vaccine coverage drops below the threshold of herd, or community, immunity. Using a sequencing-based approach, we report the prospective (January 7, 2025) detection of measles in nucleic acid extracts from 2 wastewater treatment plants in Houston, Texas, with a population of more than 218 000 residents. The sequencing data from 2 samples contained 53 unique reads mapping to 11 different regions of the measles virus genome with a 99.4% match to genotype B3. Importantly, no detections were observed from 821 previous samples from the same city spanning nearly 3 years of monitoring. The findings were confirmed using droplet digital polymerase chain reaction. A concomitant investigation identified 2 unvaccinated measles-positive travelers living within the same sewershed as the wastewater detection event. This work suggests that sequencing-based wastewater analysis is valuable as a comprehensive early detection warning system that facilitates more targeted epidemiological investigation. (. 2025;115(7):1115-1119. https://doi.org/10.2105/AJPH.2025.308146).
麻疹是一种具有潜在致命性的病毒感染,通过受感染个体的呼吸道飞沫传播。当疫苗接种覆盖率降至群体免疫或社区免疫阈值以下时,就会发生疫情爆发。我们采用基于测序的方法,报告了在得克萨斯州休斯顿市的2个污水处理厂的核酸提取物中前瞻性(2025年1月7日)检测到麻疹病毒,该市人口超过21.8万居民。来自2个样本的测序数据包含53条独特的读段,与麻疹病毒基因组的11个不同区域匹配,与B3基因型的匹配度为99.4%。重要的是,在近3年监测期间,来自同一城市的821个先前样本中均未检测到。这些发现通过液滴数字聚合酶链反应得到了证实。一项同步调查确定了2名未接种疫苗的麻疹阳性旅行者,他们居住在与污水检测事件相同的排水区域内。这项工作表明,基于测序的污水分析作为一种全面的早期检测预警系统具有重要价值,有助于进行更有针对性的流行病学调查。(. 2025;115(7):1115 - 1119. https://doi.org/10.2105/AJPH.2025.308146)