Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
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Otros documentos de la autoría: Gil Solsona, Ruben; Nácher Mestre, Jaime; Lacalle-Bergeron, Leticia; Vicente Sancho, Juan; Calduch-Giner, Josep; Hernandez, Felix; Pérez Sánchez, Jaume
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Título
Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)Autoría
Fecha de publicación
2017Editor
PeerJISSN
2167-8359Cita bibliográfica
Gil-Solsona R, Nácher-Mestre J, Lacalle-Bergeron L, Sancho JV, Calduch-Giner JA, Hernández F, Pérez-Sánchez J. (2017) Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata) PeerJ 5:e2920 https://doi.org/10.7717/peerj.2920Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://peerj.com/articles/2920/Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
A metabolomic study has been performed to identify sensitive and robust biomarkers
of malnutrition in farmed fish, using gilthead sea bream (Sparus aurata) as a model.
The metabolomic fingerprinting of serum from ... [+]
A metabolomic study has been performed to identify sensitive and robust biomarkers
of malnutrition in farmed fish, using gilthead sea bream (Sparus aurata) as a model.
The metabolomic fingerprinting of serum from fasted fish was assessed by means
of ultra-high performance liquid chromatography coupled to quadrupole time-offlight
mass spectrometry. More than 15,000 different m/z ions were detected and
Partial Least Squares–Discriminant analysis allowed a clear differentiation between
the two experimental groups (fed and 10-day fasted fish) with more than 90% of
total variance explained by the two first components. The most significant metabolites
(up to 45) were elucidated on the basis of their tandem mass spectra with a broad
representation of amino acids, oligopeptides, urea cycle metabolites, L-carnitinerelated
metabolites, glutathione-related metabolites, fatty acids, lysophosphatidic acids,
phosphatidylcholines as well as biotin- and noradrenaline-related metabolites. This
untargeted approach highlighted important adaptive responses in energy and oxidative
metabolism, contributing to identify robust and nutritionally-regulated biomarkers of
health and metabolic condition that will serve to assess the welfare status of farmed fish. [-]
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PeerJ. 2017; 5: e2920.Derechos de acceso
info:eu-repo/semantics/openAccess
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