High prevalence of hepatitis E and rat hepatitis E viruses in wastewater in Gothenburg, Sweden

IF 4.1 2区 医学 Q1 INFECTIOUS DISEASES One Health Pub Date : 2024-08-22 DOI:10.1016/j.onehlt.2024.100882
Marianela Patzi Churqui , Margarita Ghaleb , Timur Tunovic , Miriam Frankal , Lucica Enache , Kristina Nyström , Martin Lagging , Hao Wang
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Abstract

Hepatitis E virus (HEV) and Rat Hepatitis E virus (RHEV), recognized for their zoonotic potential, pose significant public health concerns. Our previous research identified both viruses in effluent wastewater in Gothenburg, Sweden. However, there are lingering inquiries regarding the prevalence and genetic diversity of these viruses in influent wastewater, as well as the utility of wastewater surveillance in elucidating their community circulation dynamics. To address these knowledge gaps, we conducted weekly collection of wastewater samples at the Rya wastewater treatment plant in Gothenburg throughout 2023. The concentrations of HEV and RHEV were quantified using quantitative polymerase chain reaction (qPCR). Additionally, two semi/nested-PCR were utilized to amplify viral strains. Furthermore, HEV strains from patients within the same region, as well as other regions in Sweden in 2023, were incorporated into the analysis. Remarkably, we observed a high prevalence of HEV (86%) and RHEV (98%) in wastewater samples, with the majority of HEV sequences identified as subtype 3c/i (9/12). In contrast, HEV subtype 3f was the most sequenced among clinical patient samples (6/12). Notably, previously unreported HEV-3b and unclassified strains were detected in wastewater. Almost all RHEV strains (20/21) were clustered into European groups, with none of the RHEV genetically close to strains previously found in human cases. The notable discordance in prevalence and identified subtypes of HEV-3 in wastewater compared to clinical samples suggests either a significant underdiagnosis of HEV infections or differences in viral loads and shedding durations among humans between HEV-3 subtypes. This underscores the urgent need for improved diagnostic techniques and heightened awareness of HEV transmission dynamics. Furthermore, the consistent detection of RHEV in wastewater underscores the necessity for further investigations to assess the potential role of RHEV in hepatitis cases of unknown etiology, given that most currently available clinical diagnostic assays fail to detect RHEV.

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瑞典哥德堡废水中戊型肝炎病毒和大鼠戊型肝炎病毒的高流行率
戊型肝炎病毒(HEV)和大鼠戊型肝炎病毒(RHEV)被认为具有人畜共患病的潜能,对公众健康构成了严重威胁。我们之前的研究在瑞典哥德堡的污水废水中发现了这两种病毒。然而,关于这些病毒在流入废水中的流行程度和遗传多样性,以及废水监测在阐明其群落循环动态方面的效用,仍有很多问题有待探究。为了填补这些知识空白,我们在 2023 年期间每周都在哥德堡的 Rya 污水处理厂采集废水样本。我们使用定量聚合酶链反应 (qPCR) 对 HEV 和 RHEV 的浓度进行了量化。此外,还利用两种半/巢式 PCR 技术扩增病毒株。此外,同一地区以及 2023 年瑞典其他地区患者的 HEV 株系也被纳入分析范围。值得注意的是,我们观察到废水样本中 HEV(86%)和 RHEV(98%)的流行率很高,其中大多数 HEV 序列被鉴定为 3c/i 亚型(9/12)。相比之下,在临床患者样本中,HEV 3f 亚型的测序结果最多(6/12)。值得注意的是,在废水中检测到了以前未报道过的 HEV-3b 和未分类的菌株。几乎所有的 RHEV 菌株(20/21)都聚集在欧洲组中,没有一个 RHEV 在基因上与以前在人类病例中发现的菌株接近。与临床样本相比,HEV-3 在废水中的流行率和确定的亚型明显不一致,这表明 HEV 感染的诊断率明显偏低,或者 HEV-3 亚型之间的病毒载量和人类脱落时间存在差异。这突出表明,迫切需要改进诊断技术并提高对 HEV 传播动态的认识。此外,在废水中持续检测到 RHEV 突出表明有必要进行进一步调查,以评估 RHEV 在病因不明的肝炎病例中的潜在作用,因为目前可用的大多数临床诊断方法都无法检测到 RHEV。
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来源期刊
One Health
One Health Medicine-Infectious Diseases
CiteScore
8.10
自引率
4.00%
发文量
95
审稿时长
18 weeks
期刊介绍: One Health - a Gold Open Access journal. The mission of One Health is to provide a platform for rapid communication of high quality scientific knowledge on inter- and intra-species pathogen transmission, bringing together leading experts in virology, bacteriology, parasitology, mycology, vectors and vector-borne diseases, tropical health, veterinary sciences, pathology, immunology, food safety, mathematical modelling, epidemiology, public health research and emergency preparedness. As a Gold Open Access journal, a fee is payable on acceptance of the paper. Please see the Guide for Authors for more information. Submissions to the following categories are welcome: Virology, Bacteriology, Parasitology, Mycology, Vectors and vector-borne diseases, Co-infections and co-morbidities, Disease spatial surveillance, Modelling, Tropical Health, Discovery, Ecosystem Health, Public Health.
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