ABSTRACT
Wastewater monitoring of SARS-CoV-2 allows for early detection and monitoring of COVID-19 burden in communities and can track specific variants of concern. Targeted assays enabled relative proportions of SARS-CoV-2 Omicron and Delta variants to be determined across 30 municipalities covering >75% of the province of Alberta (pop. 4.5M) in Canada, from November 2021 to January 2022. Larger cities like Calgary and Edmonton exhibited a more rapid emergence of Omicron relative to smaller and more remote municipalities. Notable exceptions were Banff, a small international resort town, and Fort McMurray, a more remote northern city with a large fly-in worker population. The integrated wastewater signal revealed that the Omicron variant represented close to 100% of SARS-CoV-2 burden prior to the observed increase in newly diagnosed clinical cases throughout Alberta, which peaked two weeks later. These findings demonstrate that wastewater monitoring offers early and reliable population-level results for establishing the extent and spread of emerging pathogens including SARS-CoV-2 variants.
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed millions of lives to date. Antigenic drift has resulted in viral variants with putatively greater transmissibility, virulence, or both. Early and near real-time detection of these variants of concern (VOC) and the ability to accurately follow their incidence and prevalence in communities is wanting. Wastewater-based epidemiology (WBE), which uses nucleic acid amplification tests to detect viral fragments, is a faithful proxy of COVID-19 incidence and prevalence, and thus offers the potential to monitor VOC viral load in a given population. Here, we describe and validate a primer extension PCR strategy targeting a signature mutation in the N gene of SARS-CoV-2. This allows quantification of the proportional expression of B.1.1.7 versus non-B.1.1.7 alleles in wastewater without the need to employ quantitative RT-PCR standard curves. We show that the wastewater B.1.1.7 profile correlates with its clinical counterpart and benefits from a near real-time and facile data collection and reporting pipeline. This assay can be quickly implemented within a current SARS-CoV-2 WBE framework with minimal cost; allowing early and contemporaneous estimates of B.1.1.7 community transmission prior to, or in lieu of, clinical screening and identification. Our study demonstrates that this strategy can provide public health units with an additional and much needed tool to rapidly triangulate VOC incidence/prevalence with high sensitivity and lineage specificity.
ABSTRACT
Fish are widely used for monitoring aquatic ecosystem health and water contamination by organic toxicants from natural and anthropogenic sources. However, most of these studies only focused on the measurement of specific toxicants and did not examine the impact of chemical mixtures. In this study, we examined whether the tissue exposome captured in vivo with solid-phase microextraction (SPME) without lethal sampling and analyzed by liquid chromatography-high resolution mass spectrometry can detect differences between Catostomus commersonii exhibiting a significant induction of CYP1A1, through case/control comparisons, controlling for false discovery rates. We observed the presence of environmental toxicants in induced case fish known as potential inducers of CYP1A1. We also found significant changes in the levels of anti-oxidants, short-lived oxysterols and other lipids associated with CYP1A1 induction, possibly due to oxidative stress, lipid peroxidation and free fatty acids mobilization to maintain homeostatic state. In vivo SPME opens the way to perform repeated sampling on the same animal over the time and explore the individual internal exposome trajectory for better characterization of the links between toxicant load and health effects, at the individual scale.
