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Making waves: toward systems-level interpretation of hormonal and endogenous biomarkers in wastewater-based epidemiology.

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Τίτλος: Making waves: toward systems-level interpretation of hormonal and endogenous biomarkers in wastewater-based epidemiology.
Συγγραφείς: Abouhend AS; Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA., Hanafy WA; Manning College of Information and Computer Sciences, University of Massachusetts, Amherst, Amherst, MA 01003, USA., Watt C; Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA., Nnachi RC; Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA., Shenoy P; Manning College of Information and Computer Sciences, University of Massachusetts, Amherst, Amherst, MA 01003, USA., Butler CS; Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA. Electronic address: csbutler@engin.umass.edu.
Πηγή: Water research [Water Res] 2026 Oct 01; Vol. 304, pp. 126269. Date of Electronic Publication: 2026 Jun 10.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE
Imprint Name(s): Original Publication: Oxford, Pergamon Press.
Ιατρικοί όροι (MeSH): Biomarkers*/analysis , Hormones*/analysis , Wastewater*/chemistry , Wastewater-Based Epidemiological Monitoring*, COVID-19/epidemiology ; Humans ; Environmental Monitoring
Περίληψη: Wastewater-based epidemiology (WBE) has proven invaluable for population health monitoring, most notably during the COVID-19 pandemic. Yet current WBE largely relies on exogenous markers such as drugs, pathogens, and their metabolites, limiting surveillance to what communities are exposed to. We argue for expanding WBE towards endogenous biomarkers, particularly hormones, which provide insights into physiological stress, metabolic function, and endocrine activity. Hormone-based WBE offers new opportunities to capture population-level biological responses to societal and environmental stressors, disasters, and chronic disease burdens at the community scale. This perspective outlines a systems-level framework for integrating hormonal signals in wastewater with clinical data, behavioral indicators, environmental factors, and digital markers to support more robust and context-aware public health surveillance. We highlight key technical considerations, interpretive challenges, and opportunities for translational pilot studies. By moving beyond exposure tracking toward more integrated interpretation of biological responses, hormone-informed WBE may contribute to more resilient, inclusive, and actionable public health infrastructure.
(Copyright © 2026 Elsevier Ltd. All rights reserved.)
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Contributed Indexing: Keywords: Endogenous biomarkers; Hormone surveillance; Population health monitoring; Systems-level health data integration; Wastewater-based epidemiology
Substance Nomenclature: 0 (Biomarkers)
0 (Hormones)
0 (Wastewater)
Entry Date(s): Date Created: 20260620 Date Completed: 20260815 Latest Revision: 20260901
Update Code: 20260901
DOI: 10.1016/j.watres.2026.126269
PMID: 42322969
Βάση Δεδομένων: MEDLINE
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  Data: Wastewater-based epidemiology (WBE) has proven invaluable for population health monitoring, most notably during the COVID-19 pandemic. Yet current WBE largely relies on exogenous markers such as drugs, pathogens, and their metabolites, limiting surveillance to what communities are exposed to. We argue for expanding WBE towards endogenous biomarkers, particularly hormones, which provide insights into physiological stress, metabolic function, and endocrine activity. Hormone-based WBE offers new opportunities to capture population-level biological responses to societal and environmental stressors, disasters, and chronic disease burdens at the community scale. This perspective outlines a systems-level framework for integrating hormonal signals in wastewater with clinical data, behavioral indicators, environmental factors, and digital markers to support more robust and context-aware public health surveillance. We highlight key technical considerations, interpretive challenges, and opportunities for translational pilot studies. By moving beyond exposure tracking toward more integrated interpretation of biological responses, hormone-informed WBE may contribute to more resilient, inclusive, and actionable public health infrastructure.<br /> (Copyright © 2026 Elsevier Ltd. All rights reserved.)
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