Department of Civil and Environmental Engineering, University of Michigan , Ann Arbor, Michigan, USA.
Department of Epidemiology and Biostatistics, University of California , San Francisco, California, USA.
mSphere. 2023 Aug 24;8(4):e0013223. doi: 10.1128/msphere.00132-23. Epub 2023 Jun 20.
Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden. The lack of high-resolution fecal shedding data for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) limits our ability to link WBE measurements to disease burden. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as for the commonly used fecal indicators pepper mild mottle virus (PMMoV) RNA and crAss-like phage (crAssphage) DNA. The shedding trajectories from 48 SARS-CoV-2-infected individuals suggest a highly individualized, dynamic course of SARS-CoV-2 RNA fecal shedding. Of the individuals that provided at least three stool samples spanning more than 14 days, 77% had one or more samples that tested positive for SARS-CoV-2 RNA. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall. CrAssphage DNA was detected in at least one sample from 80% (38/48) of individuals and was detected in 48% (179/371) of all samples. The geometric mean concentrations of PMMoV and crAssphage in stool across all individuals were 8.7 × 10 and 1.4 × 10 gene copies/milligram-dry weight, respectively, and crAssphage shedding was more consistent for individuals than PMMoV shedding. These results provide us with a missing link needed to connect laboratory WBE results with mechanistic models, and this will aid in more accurate estimates of COVID-19 burden in sewersheds. Additionally, the PMMoV and crAssphage data are critical for evaluating their utility as fecal strength normalizing measures and for source-tracking applications. IMPORTANCE This research represents a critical step in the advancement of wastewater monitoring for public health. To date, mechanistic materials balance modeling of wastewater-based epidemiology has relied on SARS-CoV-2 fecal shedding estimates from small-scale clinical reports or meta-analyses of research using a wide range of analytical methodologies. Additionally, previous SARS-CoV-2 fecal shedding data have not contained sufficient methodological information for building accurate materials balance models. Like SARS-CoV-2, fecal shedding of PMMoV and crAssphage has been understudied to date. The data presented here provide externally valid and longitudinal fecal shedding data for SARS-CoV-2, PMMoV, and crAssphage which can be directly applied to WBE models and ultimately increase the utility of WBE.
基于污水的流行病学(WBE)在 2019 年冠状病毒病(COVID-19)大流行期间出现,是一种用于社区层面传染病负担监测的可扩展和广泛适用的方法。缺乏关于严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的高分辨率粪便脱落数据,限制了我们将 WBE 测量结果与疾病负担联系起来的能力。在这项研究中,我们提供了 SARS-CoV-2 RNA 的纵向定量粪便脱落数据,以及常用的粪便指标辣椒斑驳病毒(PMMoV)RNA 和 crAss 样噬菌体(crAssphage)DNA 的数据。48 名 SARS-CoV-2 感染个体的脱落轨迹表明 SARS-CoV-2 RNA 粪便脱落具有高度个体化、动态的过程。在至少提供三个粪便样本且持续时间超过 14 天的个体中,77%的个体有一个或多个 SARS-CoV-2 RNA 检测呈阳性的样本。我们在所有个体的至少一个样本中检测到了 PMMoV RNA,在所有样本中 96%(352/367)的样本中检测到了 PMMoV RNA。在 80%(48/48)的个体的至少一个样本中检测到了 crAssphage DNA,在所有样本中 48%(179/371)的样本中检测到了 crAssphage DNA。所有个体粪便中 PMMoV 和 crAssphage 的几何平均浓度分别为 8.7×10 和 1.4×10 基因拷贝/毫克干重,并且 crAssphage 的脱落比 PMMoV 更具个体一致性。这些结果为我们提供了将实验室 WBE 结果与机制模型联系起来所需的缺失环节,并将有助于更准确地估计污水流域中的 COVID-19 负担。此外,PMMoV 和 crAssphage 的数据对于评估它们作为粪便强度归一化措施的效用以及用于源追踪应用至关重要。重要性 这项研究代表了公共卫生中污水监测发展的重要一步。迄今为止,基于污水的流行病学的机械材料平衡建模依赖于来自小型临床报告或使用广泛分析方法的研究的 SARS-CoV-2 粪便脱落估计。此外,以前的 SARS-CoV-2 粪便脱落数据没有包含足够的方法学信息来构建准确的材料平衡模型。像 SARS-CoV-2 一样,粪便中 PMMoV 和 crAssphage 的脱落也尚未得到充分研究。这里呈现的数据为 SARS-CoV-2、PMMoV 和 crAssphage 提供了外部有效和纵向的粪便脱落数据,可直接应用于 WBE 模型,最终增加 WBE 的实用性。