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Advancing cortisol measurements in zebrafish: Analytical validation of a commercial ELISA kit for skin mucus cortisol analysis.
Jorge, Sara; Félix, Luís; Costas, Benjamín; Valentim, Ana M.
Afiliação
  • Jorge S; Instituto de Investigação e Inovação em Saúde, Universidade do Porto, (i3S), 4200-135 Porto, Portugal.
  • Félix L; Centro Interdisciplinar de Investigação Marinha e Ambiental, (CIIMAR), 4450-208 Matosinhos, Portugal.
  • Costas B; Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, 4050-313 Porto, Portugal.
  • Valentim AM; Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.
MethodsX ; 12: 102726, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38707214
ABSTRACT
Cortisol is the main stress biomarker used for zebrafish. However, zebrafish small size made it challenging to extract cortisol without harming or killing the fish. Thus, researchers adopted a terminal method, the trunk cortisol, as standard practice. Here, we developed and validated an alternative and minimally invasive technique for measuring cortisol in the skin mucus of adult zebrafish, using a commercial enzyme-linked immunosorbent assay (ELISA). For this, AB zebrafish were randomly assigned to a precision, accuracy, and specificity test. Each sample contained the skin mucus of five to ten fish or one fish trunk. The cortisol was extracted using methanol as organic solvent. The results obtained showed an adequate precision (intra-assay coefficient of variation (CV) <15%; inter-assay CV = 26%), accuracy (CV <120%), and specificity (r2 =0.96-0.98) for skin mucus cortisol levels, as well as for trunk cortisol.•A commercial ELISA was analytically validated to measure cortisol in the skin mucus of zebrafish.•Skin mucus cortisol is a non-terminal method that reduce the number of animals used and allows longitudinal studies.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article