Work Package 1

WP 1: Identification and validation of targeted integrative tools to predict and measure metabolic and health effects


Nutrients exert their actions at various molecular and cellular levels ranging from direct effects in transcriptomic and protein expression processes to their roles as enzyme cofactors or substrates in biochemical pathways. How nutrients or dietary components modulate fish performance and a wide range of biological process affecting fish performance have been already explored. Nevertheless, a relatively unexplored area is how quantitative changes or graded levels of dietary nutrients assist in discovering new biomarkers. In this sense, an initial challenge is to screen and make the best use of already available tools, but also integrating the new insights from genomics (gene analysis), transcriptomics (gene expression analysis), proteomics (protein expression analysis) and metabolomics (metabolite profiling) to define a fish "healthy" phenotype. The overall objective is to identify and validate promising panels of biomarkers to be used as integrative tools to accurately measure and predict growth responses, metabolic and health effects for their application in other WPs. This broad scale approach also includes the use of in silico and in vitro models to assist biomarker research and mechanistic modelling of nutrition on fish performance.


  • Identification of targeted biomarkers for health and metabolic phenotyping
  • Functional validation of biomarkers
  • Identification of new biomarkers and final integration of tools

Planned activities:

Initially, already available biomarkers will be reviewed. Special attention will be paid to those biomarkers obtained from non-lethal samples, since most genomics and transcriptomic investigators have begun to use blood, skin, gills and mucus as a surrogate tissue for biopsy and analysis. This will lead to the initial selection of appropriate panels of biomarkers currently used or under evaluation in biomedicine or animal models. These will then be validated by challenging fish with disturbing the homeostatic conditions through specific nutritional interventions and results delivered to other Work Packages. Feedback from this will serve to identify new biomarkers and to obtain final integrative tools.

Expected results:

  • Initial fish nutrient biomarker database of predictive value for use in nutritional studies
  • Identification of in vitro and in silico models for the assessment of nutrient requirements and long term physiological consequences of fish feeds with a high and combined replacement of FM and FO
  • Validation of selected metabolic and health biomarkers including reference values in homeostatic/allostatic scenarios. This will serve to find the best combination of biomarkers to assess acute, chronic and adaptive responses in the series of trials conducted in other WP
  • Discovery and validation of new biomarkers to be applied in other WPs
  • Integrated validated tools

Lead Partner:

Agencia Estatal Consejo Superior De Investigaciones Cientificas (CSIC)
Contact person: Jaume Pérez-Sánchez
Email: jaime.perez.sanchez(at)


Logos of partners playing a role in this WP

logotype-INRA-CMJN     nifeslogo2 rgb smaa500     partner 4 logo csic 58

partner 12 ulpgc - policroma300cmyk new     partner 6 haki hakilogo white     logo insubria con dbsv     

logo ccmar eng use eng version     ARETA logo web

ARRAINA Project 2013 | All rights reserved.

powered by  WAZOUR


The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7 /2007-2013) under grant agreement no 288925. This publication reflects the views only of the author, and the European Union cannot be held responsible for any use which maybe made of the information contained therein.