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Sewage Protein Information Mining: Discovery of Large Biomolecules as Biomarkers of Population and Industrial Activities
[Image: see text] Wastewater-based epidemiology has been revealed as a powerful approach for surveying the health and lifestyle of a population. In this context, proteins have been proposed as potential biomarkers that complement the information provided by currently available methods. However, litt...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399289/ https://www.ncbi.nlm.nih.gov/pubmed/37463250 http://dx.doi.org/10.1021/acs.est.3c00535 |
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author | Carrascal, Montserrat Sánchez-Jiménez, Ester Fang, Jie Pérez-López, Carlos Ginebreda, Antoni Barceló, Damià Abian, Joaquin |
author_facet | Carrascal, Montserrat Sánchez-Jiménez, Ester Fang, Jie Pérez-López, Carlos Ginebreda, Antoni Barceló, Damià Abian, Joaquin |
author_sort | Carrascal, Montserrat |
collection | PubMed |
description | [Image: see text] Wastewater-based epidemiology has been revealed as a powerful approach for surveying the health and lifestyle of a population. In this context, proteins have been proposed as potential biomarkers that complement the information provided by currently available methods. However, little is known about the range of molecular species and dynamics of proteins in wastewater and the information hidden in these protein profiles is still to be uncovered. In this study, we investigated the protein composition of wastewater from 10 municipalities in Catalonia with diverse populations and industrial activities at three different times of the year. The soluble fraction of this material was analyzed using liquid chromatography high-resolution tandem mass spectrometry using a shotgun proteomics approach. The complete proteomic profile, distribution among different organisms, and semiquantitative analysis of the main constituents are described. Excreta (urine and feces) from humans, and blood and other residues from livestock were identified as the two main protein sources. Our findings provide new insights into the characterization of wastewater proteomics that allow for the proposal of specific bioindicators for wastewater-based environmental monitoring. This includes human and animal population monitoring, most notably for rodent pest control (immunoglobulins (Igs) and amylases) and livestock processing industry monitoring (albumins). |
format | Online Article Text |
id | pubmed-10399289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103992892023-08-04 Sewage Protein Information Mining: Discovery of Large Biomolecules as Biomarkers of Population and Industrial Activities Carrascal, Montserrat Sánchez-Jiménez, Ester Fang, Jie Pérez-López, Carlos Ginebreda, Antoni Barceló, Damià Abian, Joaquin Environ Sci Technol [Image: see text] Wastewater-based epidemiology has been revealed as a powerful approach for surveying the health and lifestyle of a population. In this context, proteins have been proposed as potential biomarkers that complement the information provided by currently available methods. However, little is known about the range of molecular species and dynamics of proteins in wastewater and the information hidden in these protein profiles is still to be uncovered. In this study, we investigated the protein composition of wastewater from 10 municipalities in Catalonia with diverse populations and industrial activities at three different times of the year. The soluble fraction of this material was analyzed using liquid chromatography high-resolution tandem mass spectrometry using a shotgun proteomics approach. The complete proteomic profile, distribution among different organisms, and semiquantitative analysis of the main constituents are described. Excreta (urine and feces) from humans, and blood and other residues from livestock were identified as the two main protein sources. Our findings provide new insights into the characterization of wastewater proteomics that allow for the proposal of specific bioindicators for wastewater-based environmental monitoring. This includes human and animal population monitoring, most notably for rodent pest control (immunoglobulins (Igs) and amylases) and livestock processing industry monitoring (albumins). American Chemical Society 2023-07-18 /pmc/articles/PMC10399289/ /pubmed/37463250 http://dx.doi.org/10.1021/acs.est.3c00535 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Carrascal, Montserrat Sánchez-Jiménez, Ester Fang, Jie Pérez-López, Carlos Ginebreda, Antoni Barceló, Damià Abian, Joaquin Sewage Protein Information Mining: Discovery of Large Biomolecules as Biomarkers of Population and Industrial Activities |
title | Sewage Protein Information
Mining: Discovery of Large
Biomolecules as Biomarkers of Population and Industrial Activities |
title_full | Sewage Protein Information
Mining: Discovery of Large
Biomolecules as Biomarkers of Population and Industrial Activities |
title_fullStr | Sewage Protein Information
Mining: Discovery of Large
Biomolecules as Biomarkers of Population and Industrial Activities |
title_full_unstemmed | Sewage Protein Information
Mining: Discovery of Large
Biomolecules as Biomarkers of Population and Industrial Activities |
title_short | Sewage Protein Information
Mining: Discovery of Large
Biomolecules as Biomarkers of Population and Industrial Activities |
title_sort | sewage protein information
mining: discovery of large
biomolecules as biomarkers of population and industrial activities |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399289/ https://www.ncbi.nlm.nih.gov/pubmed/37463250 http://dx.doi.org/10.1021/acs.est.3c00535 |
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