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Urine biomarkers for Alzheimer's disease: A new opportunity for wastewater-based epidemiology?

journal contribution
submitted on 2024-08-04, 07:05 and posted on 2024-08-04, 07:07 authored by Arnoldo Armenta-Castro, Mónica T. Núñez-Soto, Kassandra O. Rodriguez-Aguillón, Alberto Aguayo-Acosta, Mariel Araceli Oyervides-Muñoz, Shane A. Snyder, Damià Barceló, Jayaprakash Saththasivam, Jenny Lawler, Juan Eduardo Sosa-Hernández, Roberto Parra-Saldívar

While Alzheimer’s disease (AD) diagnosis, management, and care have become priorities for healthcare providers and researcher’s worldwide due to rapid population aging, epidemiologic surveillance efforts are currently limited by costly, invasive diagnostic procedures, particularly in low to middle income countries (LMIC). In recent years, wastewater-based epidemiology (WBE) has emerged as a promising tool for public health assessment through detection and quantification of specific biomarkers in wastewater, but applications for non-infectious diseases such as AD remain limited. This early review seeks to summarize AD-related biomarkers and urine and other peripheral biofluids and discuss their potential integration to WBE platforms to guide the first prospective efforts in the field. Promising results have been reported in clinical settings, indicating the potential of amyloid β, tau, neural thread protein, long non-coding RNAs, oxidative stress markers and other dysregulated metabolites for AD diagnosis, but questions regarding their concentration and stability in wastewater and the correlation between clinical levels and sewage circulation must be addressed in future studies before comprehensive WBE systems can be developed.

Other Information

Published in: Environment International
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.envint.2024.108462

Funding

Tecnologico de Monterrey, Challenge-Based Research (I026 - IAMSM005 - C4-T1 - T).

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2024

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • Qatar Environment and Energy Research Institute - HBKU

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