Urban wastewater contains a functional human antibody repertoire of mucosal origin
Wastewater-based surveillance of human disease offers timely insights to public health, helping to mitigate infectious disease outbreaks and decrease downstream morbidity and mortality. These systems rely on nucleic acid amplification tests for monitoring disease trends, while antibody-based seroprevalence surveys gauge community immunity. However, serological surveys are resource-intensive and subject to potentially long lead times and sampling bias. We identified and characterized a human antibody repertoire, predominantly secretory IgA, isolated from a central wastewater treatment plant and building-scale wastewater collection points. These antibodies partition to the solids fraction and retain immunoaffinity for SARS-CoV-2 and Influenza A virus antigens. This stable pool could enable real-time tracking for correlates of vaccination, infection, and immunity, aiding in establishing population-level thresholds for immune protection and assessing the efficacy of future vaccine campaigns.
Authors
- Sharon E. Straus (ORCID: https://orcid.org/0000-0002-6106-832X)
- Claire Oswald (ORCID: https://orcid.org/0000-0002-8766-6715)
- Tyson E. Graber (ORCID: https://orcid.org/0000-0002-5337-3404)
- Stefan Baral (ORCID: https://orcid.org/0000-0002-5482-2419)
- Walaa Eid
- Alex MacKenzie (ORCID: https://orcid.org/0000-0002-5867-6391)
- Patrick M. D’Aoust (ORCID: https://orcid.org/0000-0002-7301-7378)
- Kimberly Gilbride
- Chandler H. Wong
- Md Pervez Kabir
- Sean Stephenson
- Robert Delatolla (ORCID: https://orcid.org/0000-0002-5832-8637)
- Élisabeth Mercier (ORCID: https://orcid.org/0000-0002-6772-886X)
Institutions
- University of Ottawa (CA)
- University of Toronto (CA)
- Children's Hospital of Eastern Ontario (CA)
- Public Health Ontario (CA)
- Toronto Metropolitan University (CA)
Publication Details
- Journal
- Water Research
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1016/j.watres.2024.122532
- Citations
- 5
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 1.95