Abstract
This study tested a wide range of biological and chemical biomarker groups (BCIs) in wastewater from 10 cities in England to gain a better understanding of community exposure to chemicals and health outcomes and to unravel potential associations between disease prevalence, lifestyle choices and key risk factors. For example, viral BCIs showed relatively few correlations, except for norovirus gene abundance which correlated with antibiotic concentrations. Positive correlations between nicotine/cotinine and pharma BCIs indicated smoking as widely reported risk factor in diabetes, asthma/allergies and cardiovascular diseases. Antidiabetics showed complex relationships with various BCIs, e.g. with antibiotics possibly due to diabetes being a risk factor in e.g. respiratory tract, urinary tract and skin infections. Illicit drugs correlated mainly with lifestyle indicators and other recreational substances, including alcohol metabolites and nicotine. This exploratory paper shows the enormous potential of wastewater-based epidemiology (WBE) to enhance our understanding of factors driving public health and wellbeing risks. While WBE correlations cannot imply causation, they can serve as early warning for identification of possible health risks, providing much needed community-health screening aimed at informing patient-focussed interventions. [Abstract copyright: Copyright © 2025 The Author(s). Published by Elsevier Ltd.. All rights reserved.]
| Original language | English |
|---|---|
| Article number | 124370 |
| Journal | Water research |
| Volume | 287 |
| Issue number | Pt A |
| Early online date | 9 Aug 2025 |
| DOIs | |
| Publication status | Published - 16 Aug 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Pharmaceuticals
- Viruses
- Public health
- Chemical and viral biomarkers
- Lifestyle
- Wastewater-based epidemiology
- Water Pollutants, Chemical/analysis
- Public Health
- Wastewater/chemistry
- Humans
- Risk Factors
- Biomarkers/analysis
- England
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