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Title

Serum metabolome of fasted gilthead sea bream. A non-targeted approach for the identification of robust biomarkers of malnutrition in fish

AuthorsGil-Solsona, Ruben; Nácher-Mestre, Jaime; Lacalle-Bergeron, Leticia; Calduch-Giner, Josep A. CSIC ORCID; Sancho, Juan Vicente; Hernández Hernández, Félix; Pérez-Sánchez, Jaume CSIC ORCID
Issue Date23-Sep-2015
Citation10º Congreso de la Asociación Ibérica de Endocrinología Comparada (2015)
AbstractUp-stream regulators of the endocrine cascade are largely altered by malnutrition due to feed deprivation or unbalanced diet composition. This includes many changes in circulating catabolic and growth-promoting factors, also related to plasma metabolite levels. This complex trade-off has been addressed in both fish and higher vertebrates, although modern omic approaches are required to identify and validate the most robust biomarkers with either diagnostic and/or prognostic value. For this goal, a non-targeted metabolomics approach is developed. Nuclear magnetic resonance has been often used for routine metabolomic profiling in a vast array of species due to its high elucidation power and universality. However, liquid chromatography-high resolution mass spectrometry (LC-HRMS) has emerged as a reliable alternative technique with greater sensitivity and selectivity. This methodological advantage has been exploited to assess the serum metabolome of two-year old gilthead sea bream (Sparus aurata) in continuously fed fish and 10-days fasted fish. Feed deprivation resulted in a significant reduction of condition factor (2.91 vs 2.63), hepatosomatic index (1.32 vs 0.90) and mesenteric fat index (1.90 vs 1.64). Deproteinized serum samples were analysed by LC-HRMS for individual fish (n=10) and data was peak picked, aligned and normalized with XCMS. Partial Least Squares¿Discriminant Analysis (PLS-DA) clearly separated the two experimental groups, explaining the first component more than 90% of total variance. Orthogonal PLS-DA highlighted more than 850 differentiation ions (P>0.80), which primarily yielded 46 compounds that were classified into different physiological pathways (phospholipid metabolism, lysophosphatidic acid metabolism, fatty acid oxidation, bile salt metabolism, methionine-cysteine metabolism, amino acid catabolism, biotin metabolism). A targeted refined search in combination with transcriptional validation procedures were conducted to go further into fish biomarker research.
DescriptionTrabajo presentado en el 10º Congreso de la Asociación Ibérica de Endocrinología Comparada (AIEC), celebrado en Castellón (España), del 23 al 25 de septiembre de 2015
URIhttp://hdl.handle.net/10261/190852
Appears in Collections:(IATS) Comunicaciones congresos
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