韩国基于废水的传染病监测研究系统的开发-动脉网

Development of a wastewater based infectious disease surveillance research system in South Korea

Nature 等信源发布 2024-10-19 14:04

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AbstractWastewater-based epidemiology has been used in pathogen surveillance for microorganisms at the community level. This study was conducted to determine the occurrence and trends of infectious pathogens in sewage from Yongin city and the relationships between these pathogens and the incidence of infectious diseases in the community.

摘要基于废水的流行病学已被用于社区微生物的病原体监测。本研究旨在确定永仁市污水中感染性病原体的发生和趋势，以及这些病原体与社区传染病发病率之间的关系。

From December 2022 to November 2023, we collected inflow water from six wastewater treatment plants in Yongin city twice a month. The analyzed microorganisms included 15 respiratory viruses, 7 pneumonia-causing bacteria, 19 acute diarrhea-causing pathogens, SARS-CoV-2, Zika virus, hepatitis A virus, poliovirus, Mpox, and measles.

2022年12月至2023年11月，我们每月两次收集永仁市六家污水处理厂的进水。分析的微生物包括15种呼吸道病毒，7种引起肺炎的细菌，19种引起急性腹泻的病原体，SARS-CoV-2，寨卡病毒，甲型肝炎病毒，脊髓灰质炎病毒，Mpox和麻疹。

They were detected through real-time PCR and conventional PCR. The concentrations of 9 pathogens among them were additionally analyzed using quantitative real time PCR. The correlation was confirmed through statistical analysis with the rate of detection for pathogens reported by the Korea Disease Control and Prevention Agency.

通过实时PCR和常规PCR检测。。通过统计分析与韩国疾病控制和预防机构报告的病原体检出率证实了这种相关性。

Influenza A virus, human adenovirus, and human rhinovirus were moderately correlated (rho values of 0.45 to 0.58). Campylobacter spp. and sapovirus were strong correlated (rho values of 0.62, 0.63). Enteropathogenic E. coli, human coronavirus, and norovirus GII were very strong correlated (rho values of 0.86 to 0.92).

甲型流感病毒，人腺病毒和人鼻病毒中度相关（rho值为0.45至0.58）。弯曲杆菌属（Campylobacter spp.）和沙波病毒（sapovirus）具有很强的相关性（rho值分别为0.62、0.63）。肠致病性大肠杆菌，人冠状病毒和诺如病毒GII具有很强的相关性（rho值为0.86至0.92）。

We were able to identify the prevalence of respiratory viral infections, pneumonia, and acute diarrhea-causing pathogens in the community through wastewater-based epidemiology data. This study will be helpful in establishing a system for future surveillance of infectious diseases present in sewage..

我们能够通过基于废水的流行病学数据确定社区中呼吸道病毒感染，肺炎和急性腹泻病原体的患病率。。。

IntroductionThe global COVID-19 pandemic has highlighted the importance of proactive surveillance and response to infectious diseases within communities. As a result, wastewater-based surveillance systems have gained significant attention in many countries, including the United States, Europe, and Japan, and are being actively incorporated into national infectious disease surveillance policies1,2.Surveys for the detection of infectious pathogens in sewage are emerging as an innovative, multifaceted approach with broad implications for public health management.

引言全球新型冠状病毒肺炎大流行突出了社区内主动监测和应对传染病的重要性。因此，基于废水的监测系统在包括美国，欧洲和日本在内的许多国家得到了极大的关注，并正在积极纳入国家传染病监测政策1,2。检测污水中传染性病原体的调查正在成为一种创新的多方面方法，对公共卫生管理产生广泛影响。

The World Health Organization (WHO), the U.S. National Institutes of Health (NIH) and various international organizations recognize the serious impact that infectious diseases have on communities around the world and are actively developing effective prevention and prediction systems3.The sewage surveillance system is being studied based on reports that bacteria and viruses are present in sewage that local residents discharge through daily use.

世界卫生组织（WHO）、美国国立卫生研究院（NIH）和各种国际组织认识到传染病对世界各地社区的严重影响，并正在积极开发有效的预防和预测系统3。正在根据当地居民日常排放的污水中存在细菌和病毒的报告研究污水监测系统。

Pathogens can be detected using the nucleic acids present in sewage. Measuring the concentration of pathogens in sewage is an important indicator of the prevalence of pathogen infections in an area4.In addition, the sewage monitoring system allows monitoring by period and region without infringing on individual privacy, enabling early detection of new infectious pathogens5,6.In this study, we aimed to investigate and report the detection rates of 7 pneumonia-causing bacteria, 19 acute diarrhea-causing bacteria and viruses, 15 respiratory viruses, SARS-CoV-2, Zika virus, hepatitis A virus, poliovirus, Mpox, and measles among the most common infectious pathogens in Korea from December 2022 to November 2023 in sewage collected from six wastewater treatment plants (WWTPs) in Yo.

可以使用污水中存在的核酸检测病原体。测量污水中病原体的浓度是一个地区病原体感染流行率的重要指标4。此外，污水监测系统可以在不侵犯个人隐私的情况下按时期和地区进行监测，从而能够早期发现新的感染性病原体5,6。在这项研究中，我们旨在调查和报告2022年12月至2023年11月从韩国六个污水处理厂（WWTPs）收集的污水中，7种引起肺炎的细菌，19种引起急性腹泻的细菌和病毒，15种呼吸道病毒，SARS-CoV-2，寨卡病毒，甲型肝炎病毒，脊髓灰质炎病毒，Mpox和麻疹的检出率。

Data availability

数据可用性

The main data supporting the results of this study are available within the paper and its Supplementary Information. The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request. Pathogens & Vectors Surveillance Weekly Report for South Korea, are available from the KDCA at https://dportal.kdca.go.kr/pot/bbs/BD_selectBbsList.do?%20q_bbsSn=1010&q_bbsDocNo=&q_clsfNo=3&q_searchKeyTy=&q_searchVal=&q_currPage=1&q_sortName=&q_sortOrder=34.

支持这项研究结果的主要数据可在论文及其补充信息中找到。本研究中使用和/或分析的数据集可根据合理要求从通讯作者处获得。韩国病原体和媒介监测每周报告，可从KDCA获得https://dportal.kdca.go.kr/pot/bbs/BD_selectBbsList.do?%20q_bbsSn=1010&q_bbsDocNo=&q_clsfNo=3&q_searchKeyTy=&q_searchVal=&q_currPage=1&q_sortName=&q_sortOrder=34.

Sequence data that support the findings of this study have been deposited in the Genbank, NCBI with The Accession numbers [PQ151713-PQ151754]. https://www.ncbi.nlm.nih.gov/search/all/?term= The Accession numbers (Genbank, NCBI) of sequence data are attached in Supplementary Information Table 5..

支持这项研究结果的序列数据已保存在NCBI的Genbank中，登录号为[PQ151713-PQ151754]。https://www.ncbi.nlm.nih.gov/search/all/?term=序列数据的登录号（Genbank，NCBI）附在补充信息表5中。。

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KDCA. Pathogens & vectors surveillance weekly report (2024). https://dportal.kdca.go.kr/ Accessed 8 February 2024.Download referencesAcknowledgementsWe deeply appreciate the dedicated employees of Yongin City Hall and six sewage treatment plants in Yongin City for their valuable support and cooperation during this study.Author informationAuthors and AffiliationsDepartment of R&D Innovation Center, Seoul Clinical Laboratories, Yongin-si, Gyeonggi-do, Republic of KoreaYun-Tae Kim, Bokyung Son, Myeongwon Song, Seung-Hyun Lee, Miran Kwon, Dong-Soo Kim & Tae-Hun NohDepartment of Laboratory Medicine, Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Republic of KoreaKyungwon Lee & Hyukmin LeeSeoul Clinical Laboratories, Yongin-si, Gyeonggi-do, Republic of KoreaKyungwon Lee, Young-Jin Kim, Mi-Kyeong Lee & Kyoung-Ryul LeeSCL Healthcare Inc.

KDCA公司。病原体和媒介监测周报（2024年）。https://dportal.kdca.go.kr/2024年2月8日访问。下载参考文献致谢我们非常感谢Yongin市政厅和Yongin市六家污水处理厂的敬业员工在本研究期间的宝贵支持与合作。作者信息作者和附属机构首尔临床实验室研发创新中心系，韩国共和国京畿道Yongin si，韩国京畿道Tae Kim，Bokyung Son，Myeongwon Song，Seung Hyun Lee，Miran Kwon，Dong Soo Kim＆Tae Hun Noh韩国京畿道共和国首尔延世大学医学院细菌耐药性研究所实验室医学系，韩国京畿道Yongin si，韩国京畿道，Young Jin Kim，Mi Kyeong Lee＆Kyung Ryul LeeSCL Healthcare Inc。

Gyeonggi-do, Yongin-si, Gyeonggi-do, Republic of KoreaSanghoo LeeDepartment of R&D Innovation Center, Seoul Clinical Laboratories, Yongin-si, Gyeonggi-do, Republic of KoreaYun-Tae KimAuthorsYun-Tae KimView author publicationsYou can also search for this author in.

京畿道，京畿道，京畿道，韩国共和国，首尔临床实验室研发创新中心系，韩国京畿道，京畿道，韩国共和国，京畿道作者，作者，作者出版物你也可以在中搜索这位作者。

PubMed Google ScholarKyungwon LeeView author publicationsYou can also search for this author in

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PubMed Google ScholarContributionsKyoung-Ryul Lee and Yun-Tae Kim conceived and designed the study. Seung-Hyun Lee, Miran Kwon, Dong-Soo Kim, and Tae-Hun Noh contributed to the data collection and sample collection and analysis. Kyungwon Lee, Hyukmin Lee, Bokyung Son, and Myeongwon Song contributed to the data analysis and interpretation.

。Lee Seung Hyun Lee，Miran Kwon，Dong Soo Kim和Tae Hun Noh为数据收集和样本收集与分析做出了贡献。李庆元、李孝民、宋伯庆和宋明元为数据分析和解释做出了贡献。

Bokyung Son, Young-Jin Kim, and Mi-Kyeong Lee contributed to the collection of clinical information. Yun-Tae Kim and Bokyung Son drafted the manuscript. Kyungwon Lee and Hyukmin Lee provided critical revision. Yun-Tae Kim, Kyungwon Lee, Sanghoo Lee and Kyoung-Ryul Lee accessed and verified the data, all authors approved the final manuscript, and Yun-Tae Kim and Kyoung-Ryul Lee were responsible for the decision to submit the manuscript.Corresponding authorCorrespondence to.

Bokyung Son，Young Jin Kim和Mi Kyeong Lee为收集临床信息做出了贡献。金润泰和宋伯庆起草了手稿。Kyungwon Lee和Hyukmin Lee提供了重要的修订。金云泰、李京元、李桑虎和李京龙访问并验证了数据，所有作者都批准了最终稿件，金云泰和李京龙负责决定提交稿件。对应作者对应。

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Reprints and permissionsAbout this articleCite this articleKim, YT., Lee, K., Lee, H. et al. Development of a wastewater based infectious disease surveillance research system in South Korea.

转载和许可本文引用本文Kim，YT。，Lee，K。，Lee，H。等人在韩国开发了基于废水的传染病监测研究系统。

Sci Rep 14, 24544 (2024). https://doi.org/10.1038/s41598-024-76614-4Download citationReceived: 31 July 2024Accepted: 15 October 2024Published: 19 October 2024DOI: https://doi.org/10.1038/s41598-024-76614-4Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

科学报告1424544（2024）。https://doi.org/10.1038/s41598-024-76614-4Download引文接收日期：2024年7月31日接受日期：2024年10月15日发布日期：2024年10月19日OI：https://doi.org/10.1038/s41598-024-76614-4Share本文与您共享以下链接的任何人都可以阅读此内容：获取可共享链接对不起，本文目前没有可共享的链接。复制到剪贴板。

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KeywordsWastewater-based epidemiologyRespiratory virusesPneumonia-causing bacteriaDiarrhea-causing microorganismsReal-time PCRPublic health

关键词基于水的流行病学呼吸道病毒肺炎引起的细菌性腹泻引起的微生物实时PCR公共卫生

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