Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)

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 coupl...

Descripción completa

Detalles Bibliográficos
Autores: Gil-Solsona, Rubén, Nácher-Mestre, Jaime, Lacalle-Bergeron, Leticia, Sancho, Juan Vicente, Hernández Hernández, Félix, Pérez-Sánchez, Jaume
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/190149
Acceso en línea:http://hdl.handle.net/10261/190149
Access Level:acceso abierto
Palabra clave:Aquaculture
Nutrition
Chromatography
Mass spectrometry
Gilthead sea bream
Serum metabolomics
http://metadata.un.org/sdg/2
End hunger, achieve food security and improved nutrition and promote sustainable agriculture
id ES_e8542d72d82d0dd1e007b64ecccf68f0
oai_identifier_str oai:digital.csic.es:10261/190149
network_acronym_str ES
network_name_str España
repository_id_str
spelling Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)Gil-Solsona, Rubén Nácher-Mestre, JaimeLacalle-Bergeron, LeticiaSancho, Juan VicenteHernández Hernández, FélixPérez-Sánchez, JaumeAquacultureNutritionChromatographyMass spectrometryGilthead sea breamSerum metabolomicshttp://metadata.un.org/sdg/2End hunger, achieve food security and improved nutrition and promote sustainable agricultureA 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.This work was supported by the Spanish MINECO (MI2-Fish, AGL2013-48560) and Plà de promoció de la investigació de la Universitat Jaume I (P1•1B2015-59) and the Generalitat Valenciana as research group of excellence (PROMETEO II/2014/023, PROMETEO II/2014/085, Collaborative Research on Environment and Food-Safety, ISIC/2012/016).Peer reviewedPeerJMinisterio de Economía y Competitividad (España)Generalitat ValencianaUniversidad Jaime IHernández Hernández, Félix [0000-0003-1268-3083]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/190149reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2013-48560-C2-1-Rhttp://dx.doi.org/10.7717/peerj.2920Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1901492026-05-22T06:33:51Z
dc.title.none.fl_str_mv Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
title Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
spellingShingle Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
Gil-Solsona, Rubén
Aquaculture
Nutrition
Chromatography
Mass spectrometry
Gilthead sea bream
Serum metabolomics
http://metadata.un.org/sdg/2
End hunger, achieve food security and improved nutrition and promote sustainable agriculture
title_short Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
title_full Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
title_fullStr Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
title_full_unstemmed Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
title_sort Untargeted metabolomics approach for unraveling robust biomarkers of nutritional status in fasted gilthead sea bream (Sparus aurata)
dc.creator.none.fl_str_mv Gil-Solsona, Rubén
Nácher-Mestre, Jaime
Lacalle-Bergeron, Leticia
Sancho, Juan Vicente
Hernández Hernández, Félix
Pérez-Sánchez, Jaume
author Gil-Solsona, Rubén
author_facet Gil-Solsona, Rubén
Nácher-Mestre, Jaime
Lacalle-Bergeron, Leticia
Sancho, Juan Vicente
Hernández Hernández, Félix
Pérez-Sánchez, Jaume
author_role author
author2 Nácher-Mestre, Jaime
Lacalle-Bergeron, Leticia
Sancho, Juan Vicente
Hernández Hernández, Félix
Pérez-Sánchez, Jaume
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Generalitat Valenciana
Universidad Jaime I
Hernández Hernández, Félix [0000-0003-1268-3083]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Aquaculture
Nutrition
Chromatography
Mass spectrometry
Gilthead sea bream
Serum metabolomics
http://metadata.un.org/sdg/2
End hunger, achieve food security and improved nutrition and promote sustainable agriculture
topic Aquaculture
Nutrition
Chromatography
Mass spectrometry
Gilthead sea bream
Serum metabolomics
http://metadata.un.org/sdg/2
End hunger, achieve food security and improved nutrition and promote sustainable agriculture
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/190149
url http://hdl.handle.net/10261/190149
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2013-48560-C2-1-R
http://dx.doi.org/10.7717/peerj.2920
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv PeerJ
publisher.none.fl_str_mv PeerJ
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422932348895232
score 15.811543

Similares en LA Referencia