Coprostanol as a Population Biomarker for SARS-CoV-2 Wastewater Surveillance Studies
Wastewater surveillance is a cost-effective tool for monitoring SARS-CoV-2 transmission in a community. However, challenges remain with regard to interpretating such studies, not least in how to compare SARS-CoV-2 levels between different-sized wastewater treatment plants. Viral faecal indicators, i...
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| Veröffentlicht in: | Water (Basel) 2022-01, Vol.14 (2), p.225 |
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| creator | Reynolds, Liam J. Sala-Comorera, Laura Khan, Mohd Faheem Martin, Niamh A. Whitty, Megan Stephens, Jayne H. Nolan, Tristan M. Joyce, Eadaoin Fletcher, Nicola F. Murphy, Cormac D. Meijer, Wim G. |
| description | Wastewater surveillance is a cost-effective tool for monitoring SARS-CoV-2 transmission in a community. However, challenges remain with regard to interpretating such studies, not least in how to compare SARS-CoV-2 levels between different-sized wastewater treatment plants. Viral faecal indicators, including crAssphage and pepper mild mottle virus, have been proposed as population biomarkers to normalise SARS-CoV-2 levels in wastewater. However, as these indicators exhibit variability between individuals and may not be excreted by everyone, their utility as population biomarkers may be limited. Coprostanol, meanwhile, is a bacterial metabolite of cholesterol which is excreted by all individuals. In this study, composite influent samples were collected from a large- and medium-sized wastewater treatment plant in Dublin, Ireland and SARS-CoV-2 N1, crAssphage, pepper mild mottle virus, HF183 and coprostanol levels were determined. SARS-CoV-2 N1 RNA was detected and quantified in all samples from both treatment plants. Regardless of treatment plant size, coprostanol levels exhibited the lowest variation in composite influent samples, while crAssphage exhibited the greatest variation. Moreover, the strongest correlations were observed between SARS-CoV-2 levels and national and Dublin COVID-19 cases when levels were normalised to coprostanol. This work demonstrates the usefulness of coprostanol as a population biomarker for wastewater surveillance studies. |
| doi_str_mv | 10.3390/w14020225 |
| format | Article |
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However, challenges remain with regard to interpretating such studies, not least in how to compare SARS-CoV-2 levels between different-sized wastewater treatment plants. Viral faecal indicators, including crAssphage and pepper mild mottle virus, have been proposed as population biomarkers to normalise SARS-CoV-2 levels in wastewater. However, as these indicators exhibit variability between individuals and may not be excreted by everyone, their utility as population biomarkers may be limited. Coprostanol, meanwhile, is a bacterial metabolite of cholesterol which is excreted by all individuals. In this study, composite influent samples were collected from a large- and medium-sized wastewater treatment plant in Dublin, Ireland and SARS-CoV-2 N1, crAssphage, pepper mild mottle virus, HF183 and coprostanol levels were determined. SARS-CoV-2 N1 RNA was detected and quantified in all samples from both treatment plants. Regardless of treatment plant size, coprostanol levels exhibited the lowest variation in composite influent samples, while crAssphage exhibited the greatest variation. Moreover, the strongest correlations were observed between SARS-CoV-2 levels and national and Dublin COVID-19 cases when levels were normalised to coprostanol. This work demonstrates the usefulness of coprostanol as a population biomarker for wastewater surveillance studies.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w14020225</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Biomarkers ; Cholesterol ; Coronaviruses ; COVID-19 ; Disease transmission ; Fecal coliforms ; Indicators ; Metabolites ; Population ; Purification ; Reynolds, L.J ; RNA ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Sewage ; Viruses ; Wastewater ; Wastewater treatment ; Wastewater treatment plants ; Water treatment plants</subject><ispartof>Water (Basel), 2022-01, Vol.14 (2), p.225</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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This work demonstrates the usefulness of coprostanol as a population biomarker for wastewater surveillance studies.</description><subject>Biomarkers</subject><subject>Cholesterol</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease transmission</subject><subject>Fecal coliforms</subject><subject>Indicators</subject><subject>Metabolites</subject><subject>Population</subject><subject>Purification</subject><subject>Reynolds, L.J</subject><subject>RNA</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Sewage</subject><subject>Viruses</subject><subject>Wastewater</subject><subject>Wastewater treatment</subject><subject>Wastewater treatment plants</subject><subject>Water treatment plants</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptUUtLAzEQDqJgqR78BwFPHrZmN8k-jrX4goLiVj2GbHYiqdtNTbIW_70pFR_gzGGGme-bJ0InKZlQWpHzTcpIRrKM76FRRgqaMMbS_V_-ITr2fkmisKosORmhxcyunfVB9rbD0mOJ7-166GQwtscXxq6kewWHtXW4nj7Uycw-JRl-lj7ARoaYqQf3DqbrZK8A12FoDfgjdKBl5-H4y47R49XlYnaTzO-ub2fTeaJYxkOioQVdtUVZtU2jG6aKKqVac9lUGlgFqihIzjXwIg7b5K3mVOdMlhxkIWWu6Rid7urGFd4G8EEs7eD62FJkeZbSMs0Z-0G9yA6E6bUNTqqV8UpMtx0py0sSUZN_UFFbWBlle9Amxv8QznYEFe_nHWixdiae60OkRGzfIb7fQT8BQj57Og</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Reynolds, Liam J.</creator><creator>Sala-Comorera, Laura</creator><creator>Khan, Mohd Faheem</creator><creator>Martin, Niamh A.</creator><creator>Whitty, Megan</creator><creator>Stephens, Jayne H.</creator><creator>Nolan, Tristan M.</creator><creator>Joyce, Eadaoin</creator><creator>Fletcher, Nicola F.</creator><creator>Murphy, Cormac D.</creator><creator>Meijer, Wim G.</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-6507-5677</orcidid><orcidid>https://orcid.org/0000-0002-2137-3338</orcidid></search><sort><creationdate>20220101</creationdate><title>Coprostanol as a Population Biomarker for SARS-CoV-2 Wastewater Surveillance Studies</title><author>Reynolds, Liam J. ; 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| ispartof | Water (Basel), 2022-01, Vol.14 (2), p.225 |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB Electronic Journals Library |
| subjects | Biomarkers Cholesterol Coronaviruses COVID-19 Disease transmission Fecal coliforms Indicators Metabolites Population Purification Reynolds, L.J RNA Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Sewage Viruses Wastewater Wastewater treatment Wastewater treatment plants Water treatment plants |
| title | Coprostanol as a Population Biomarker for SARS-CoV-2 Wastewater Surveillance Studies |
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