Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy.
Water Res. 2022 Aug 1;221:118809. doi: 10.1016/j.watres.2022.118809. Epub 2022 Jul 2.
On November 26, 2021, the B.1.1.529 COVID-19 variant was classified as the Omicron variant of concern (VOC). Reports of higher transmissibility and potential immune evasion triggered flight bans and heightened health control measures across the world to stem its distribution. Wastewater-based surveillance has demonstrated to be a useful complement for clinical community-based tracking of SARS-CoV-2 variants. Using design principles of our previous assays that detect SARS-CoV-2 variants (Alpha and Delta), we developed an allele-specific RT-qPCR assay which simultaneously targets the stretch of mutations from Q493R to Q498R for quantitative detection of the Omicron variant in wastewater. We report their validation against 10-month longitudinal samples from the influent of a wastewater treatment plant in Italy. SARS-CoV-2 RNA concentrations and variant frequencies in wastewater determined using these variant assays agree with clinical cases, revealing rapid displacement of the Delta variant by the Omicron variant within three weeks. These variant trends, when mapped against vaccination rates, support clinical studies that found the rapid emergence of SARS-CoV-2 Omicron variant being associated with an infection advantage over Delta in vaccinated persons. These data reinforce the versatility, utility and accuracy of these open-sourced methods using allele-specific RT-qPCR for tracking the dynamics of variant displacement in communities through wastewater for informed public health responses.
2021 年 11 月 26 日,B.1.1.529 COVID-19 变体被归类为关注的奥密克戎变体(VOC)。更高的传染性和潜在免疫逃避的报告引发了全球范围内的航班禁令和更高的卫生控制措施,以阻止其传播。基于废水的监测已被证明是对基于临床社区的 SARS-CoV-2 变体进行跟踪的有用补充。使用我们之前检测 SARS-CoV-2 变体(阿尔法和德尔塔)的设计原则,我们开发了一种等位基因特异性 RT-qPCR 检测方法,该方法同时针对 Q493R 到 Q498R 突变区域进行定量检测,以在废水中检测奥密克戎变体。我们报告了它们在意大利一家废水处理厂进水的 10 个月纵向样本中的验证情况。使用这些变体检测方法确定的废水中的 SARS-CoV-2 RNA 浓度和变体频率与临床病例一致,表明奥密克戎变体在三周内迅速取代了德尔塔变体。这些变体趋势与疫苗接种率相对应,支持了临床研究,发现 SARS-CoV-2 奥密克戎变体的快速出现与接种疫苗者中德尔塔变体的感染优势有关。这些数据通过废水强化了使用等位基因特异性 RT-qPCR 来跟踪社区中变体替代动态的这些开源方法的多功能性、实用性和准确性,从而为公共卫生应对提供信息。