在废水中检测到甲型肝炎病毒(HAV)表明该病毒在全国广泛分布,并与易感性的社会经济指标有关。

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
mSphere Pub Date : 2024-11-21 Epub Date: 2024-10-30 DOI:10.1128/msphere.00645-24
Alessandro Zulli, Elana M G Chan, Alexandria B Boehm
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引用次数: 0

摘要

基于废水的流行病学旨在通过测量废水中的传染病生物标志物来评估社区中的疾病发生情况,它可能是了解社区中甲型肝炎感染发生情况的重要工具。在这项研究中,我们测量了 2023 年 9 月至 2024 年 6 月期间来自美国 40 个州和哥伦比亚特区的 191 家污水处理厂样本中甲型肝炎病毒 (HAV) RNA 的浓度,并将测量结果与传统的疾病发生率测量方法进行了比较。从全国范围来看,21,079 份废水样本中有 13.76% 呈 HAV RNA 阳性,浓度和阳性率均与全国 NNDSS 甲型肝炎病例数据相关(浓度方面的 Kendall 秩相关系数 = 0.20;阳性率方面的 Kendall 秩相关系数 = 0.33;P 均小于 0.05)。我们进一步证明,较高的废水甲型肝炎病毒检测率与无家可归者和吸毒过量死亡等社会经济弱势指标呈正相关(均 P < 0.0001)。无家可归人数高于平均水平的地区检测到 HAV 废水的可能性要高出 48%,而吸毒过量死亡人数高于平均水平的地区检测到 HAV 废水的可能性要高出 14%。通过使用更精细的病例数据,我们介绍了缅因州的一个案例研究,该研究证实了这些结果,并表明废水可能比临床病例检测和暴露事件更早出现。在临床病例出现之前检测废水中甲型肝炎病毒 RNA 的能力可以让公共卫生官员实施有针对性的干预措施,如开展疫苗接种活动。这种疾病可能没有症状或处于亚临床状态,对无法获得充分医疗保健服务的人群的影响尤为严重,导致对这种病毒感染发生率的严重低估。本研究调查了废水中甲型肝炎致病因子(HAV RNA)生物标志物的测量潜力,以便深入了解疾病的发生情况。研究结果突出表明,基于废水的流行病学有可能成为传统监测的补充工具,用于监测和控制甲型肝炎病毒的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Hepatovirus A (HAV) in wastewater indicates widespread national distribution and association with socioeconomic indicators of vulnerability.

Wastewater-based epidemiology, which seeks to assess disease occurrence in communities through measurements of infectious disease biomarkers in wastewater, may represent a valuable tool for understanding the occurrence of hepatitis A infections in communities. In this study, we measured concentrations of Hepatovirus A (HAV) RNA, in samples from 191 wastewater treatment plants spanning 40 US states and the District of Columbia from September 2023 to June 2024 and compared the measurements with traditional measures of disease occurrence. Nationally, 13.76% of the 21,079 wastewater samples were positive for HAV RNA, and both concentrations and positivity rates were associated with NNDSS hepatitis A case data nationally (Kendall rank correlation coefficient = 0.20, concentrations; and 0.33, positivity rate; both P < 0.05). We further demonstrated that higher rates of wastewater HAV detection were positively associated with socioeconomic indicators of vulnerability including homelessness and drug overdose deaths (both P < 0.0001). Areas with above average levels of homelessness were 48% more likely to have HAV wastewater detections, while areas with above average levels of drug overdose deaths were 14% more likely to have HAV wastewater detections. Using more granular case data, we present a case study in the state of Maine that reinforces these results and suggests a potential lead time for wastewater over clinical case detection and exposure events. The ability to detect HAV RNA in wastewater before clinical cases emerge could allow public health officials to implement targeted interventions like vaccination campaigns.IMPORTANCEDespite the existence of a highly effective vaccine for hepatitis A, outbreaks in vulnerable populations remain common. The disease can be asymptomatic or subclinical, and disproportionately impacts populations with inadequate access to healthcare, leading to a severe underestimation of the occurrence of this viral infection. This study investigates the potential for wastewater measurements of biomarkers of the causative agent of hepatitis A (HAV RNA) to provide insights into disease occurrence. Results highlight the potential for wastewater-based epidemiology to be a complementary tool to traditional surveillance for monitoring and controlling HAV transmission.

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来源期刊
mSphere
mSphere Immunology and Microbiology-Microbiology
CiteScore
8.50
自引率
2.10%
发文量
192
审稿时长
11 weeks
期刊介绍: mSphere™ is a multi-disciplinary open-access journal that will focus on rapid publication of fundamental contributions to our understanding of microbiology. Its scope will reflect the immense range of fields within the microbial sciences, creating new opportunities for researchers to share findings that are transforming our understanding of human health and disease, ecosystems, neuroscience, agriculture, energy production, climate change, evolution, biogeochemical cycling, and food and drug production. Submissions will be encouraged of all high-quality work that makes fundamental contributions to our understanding of microbiology. mSphere™ will provide streamlined decisions, while carrying on ASM''s tradition for rigorous peer review.
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