Véronica Roman , Frédéric Jourdain , Emilie Pele , Elise Brottet , Anne Guinard , Damien Mouly , Sandra Medragh , Christophe Cordevant , Benoît Gassilloud , Julia Dina
{"title":"利用多重RT-dPCR追踪废水中野生型麻疹病毒——一种新的麻疹监测工具","authors":"Véronica Roman , Frédéric Jourdain , Emilie Pele , Elise Brottet , Anne Guinard , Damien Mouly , Sandra Medragh , Christophe Cordevant , Benoît Gassilloud , Julia Dina","doi":"10.1016/j.watres.2025.124379","DOIUrl":null,"url":null,"abstract":"<div><div>A multiplex digital RT-PCR (RT-dPCR) assay targeting three distinct regions of the measles virus genome was developed for wastewater surveillance. This method was applied to 40 mL samples collected at the inlets of two French wastewater treatment plants located in urban areas where clinical measles cases involving genotypes B3 and D8 had been reported. Detection was performed retrospectively on weekly samples collected between January and July 2024 as part of the routine national SARS CoV-2 wastewater surveillance network. Positive results were obtained in 27.3 % and 66.7 % of samples, with viral concentrations ranging between 5.8 × 10<sup>2</sup> gc/L – 4.6 × 10<sup>3</sup> gc/L and 1.8 × 10<sup>3</sup> gc/L – 2.2 × 10<sup>4</sup> gc/L, respectively. A complementary RT-dPCR, specifically targeting vaccine strain genomes, confirmed that detected signals originated from wild-type viruses and not from recent vaccination. These results confirm that the developed multiplex RT-dPCR assay can reliably detect measles virus in wastewater, even in areas with a low number of reported cases. Wastewater surveillance therefore represents a promising complementary tool for monitoring measles circulation at the community level and could support disease elimination efforts by detecting low-level residual circulation that may go undetected by clinical surveillance.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"287 ","pages":"Article 124379"},"PeriodicalIF":12.4000,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking wild-type measles virus in wastewater using multiplex RT-dPCR, A novel tool for measles surveillance\",\"authors\":\"Véronica Roman , Frédéric Jourdain , Emilie Pele , Elise Brottet , Anne Guinard , Damien Mouly , Sandra Medragh , Christophe Cordevant , Benoît Gassilloud , Julia Dina\",\"doi\":\"10.1016/j.watres.2025.124379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A multiplex digital RT-PCR (RT-dPCR) assay targeting three distinct regions of the measles virus genome was developed for wastewater surveillance. This method was applied to 40 mL samples collected at the inlets of two French wastewater treatment plants located in urban areas where clinical measles cases involving genotypes B3 and D8 had been reported. Detection was performed retrospectively on weekly samples collected between January and July 2024 as part of the routine national SARS CoV-2 wastewater surveillance network. Positive results were obtained in 27.3 % and 66.7 % of samples, with viral concentrations ranging between 5.8 × 10<sup>2</sup> gc/L – 4.6 × 10<sup>3</sup> gc/L and 1.8 × 10<sup>3</sup> gc/L – 2.2 × 10<sup>4</sup> gc/L, respectively. A complementary RT-dPCR, specifically targeting vaccine strain genomes, confirmed that detected signals originated from wild-type viruses and not from recent vaccination. These results confirm that the developed multiplex RT-dPCR assay can reliably detect measles virus in wastewater, even in areas with a low number of reported cases. Wastewater surveillance therefore represents a promising complementary tool for monitoring measles circulation at the community level and could support disease elimination efforts by detecting low-level residual circulation that may go undetected by clinical surveillance.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"287 \",\"pages\":\"Article 124379\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135425012850\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425012850","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Tracking wild-type measles virus in wastewater using multiplex RT-dPCR, A novel tool for measles surveillance
A multiplex digital RT-PCR (RT-dPCR) assay targeting three distinct regions of the measles virus genome was developed for wastewater surveillance. This method was applied to 40 mL samples collected at the inlets of two French wastewater treatment plants located in urban areas where clinical measles cases involving genotypes B3 and D8 had been reported. Detection was performed retrospectively on weekly samples collected between January and July 2024 as part of the routine national SARS CoV-2 wastewater surveillance network. Positive results were obtained in 27.3 % and 66.7 % of samples, with viral concentrations ranging between 5.8 × 102 gc/L – 4.6 × 103 gc/L and 1.8 × 103 gc/L – 2.2 × 104 gc/L, respectively. A complementary RT-dPCR, specifically targeting vaccine strain genomes, confirmed that detected signals originated from wild-type viruses and not from recent vaccination. These results confirm that the developed multiplex RT-dPCR assay can reliably detect measles virus in wastewater, even in areas with a low number of reported cases. Wastewater surveillance therefore represents a promising complementary tool for monitoring measles circulation at the community level and could support disease elimination efforts by detecting low-level residual circulation that may go undetected by clinical surveillance.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.