Cortisol Levels Reveal Species-Specific Stress Condition in Fish from PFAS Polluted Rivers.

Biomonitoring freshwater fish Cortisol PFAS pollution Stress response

Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
23 Jul 2024
Historique:
received: 18 04 2024
revised: 21 06 2024
accepted: 21 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: aheadofprint

Résumé

In the context of increasing environmental contamination, our study employed fish as bioindicators, focusing on non-invasive cortisol measurements in scales and fins in response to severe PFAS pollution in the Veneto area of Italy. Our preliminary findings showed species-specific stress responses, as observed in Squalius cephalus and Padogobius bonelli, suggesting the need for broader biomonitoring to capture the complex impact of environmental stressors on aquatic organisms. Moreover, due to the unusual characteristics of the rivers selected for the biomonitoring activity, a possible link between PFAS exposure and cortisol levels in S. cephalus demonstrates the method's potential.

Identifiants

pubmed: 39053782
pii: S0045-6535(24)01819-8
doi: 10.1016/j.chemosphere.2024.142925
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

142925

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests that could influence the objectivity, integrity, or validity of the research findings presented in this article.

Auteurs

Sophia Schumann (S)

Department of Biology, University of Padova, 35122 Padova, PD, Italy.

Elena Negrato (E)

Department of Comparative Biomedicine and Food Science, University of Padova, 35122 Padova, PD, Italy.

Elisabetta Piva (E)

Department of Biology, University of Padova, 35122 Padova, PD, Italy.

Edoardo Pietropoli (E)

Department of Comparative Biomedicine and Food Science, University of Padova, 35122 Padova, PD, Italy.

Marco Bonato (M)

Department of Biology, University of Padova, 35122 Padova, PD, Italy.

Paola Irato (P)

Department of Biology, University of Padova, 35122 Padova, PD, Italy.

Andrea Marion (A)

Department of Industrial Engineering, University of Padova, 35122 Padova, PD, Italy.

Gianfranco Santovito (G)

Department of Biology, University of Padova, 35122 Padova, PD, Italy. Electronic address: gianfranco.santovito@unipd.it.

Daniela Bertotto (D)

Department of Comparative Biomedicine and Food Science, University of Padova, 35122 Padova, PD, Italy.

Classifications MeSH