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Istituto di scienza dell'alimentazione

Torna all'elenco Contributi in rivista anno 2017

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Transcriptome analysis in blood cells from children reveals potential early biomarkers of metabolic alterations

Anno di pubblicazione: 2017

Autori: Sanchez, J.; Pico, C.; Ahrens, W.; Foraita, R.; Fraterman, A.; Moreno, L. A.; Russo, P.; Siani, A.; Palou, A.

Affiliazioni autori: 1Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands and CIBER Fisiopatología de la Obesidad y Nutrición, Palma de Mallorca, Spain; 2Leibniz Institute for Prevention Research and Epidemiology--BIPS, Bremen, Germany; 3Faculty of Mathematics and Computer Science, University of Bremen (UNIHB), Bremen, Germany; 4MVZ Eberhard & Partner Laboratoriumsmedizin, Dortmund, Germany; 5GENUD Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Zaragoza, Spain and 6Unit of Epidemiology and Population Genetics, Institute of Food Sciences, National Research Council, Avellino, Italy. Correspondence: Professor C Picó, Universitat de les Illes Balears, Biología Molecular, Nutrición y Biotecnología (Nutrigenómica), Edifici Mateu Orfila, Carretera de Valldemossa Km 7.5, Palma de Mallorca, Balearic Islands E-07122, Spain.

Autori CNR:


Lingua: inglese

Abstract: OBJECTIVES: The development of effective strategies to prevent childhood obesity and its comorbidities requires new, reliable early biomarkers. Here, we aimed to identify in peripheral blood cells potential transcript-based biomarkers of unhealthy metabolic profile associated to overweight/obesity in children. METHODS: We performed a whole-genome microarray analysis in blood cells to identify genes differentially expressed between overweight and normal weight children to obtain novel transcript-based biomarkers predictive of metabolic complications. RESULTS: The most significant enriched pathway of differentially expressed genes was related to oxidative phosphorylation, for which most of genes were downregulated in overweight versus normal weight children. Other genes were involved in carbohydrate metabolism/glucose homoeostasis or in lipid metabolism (for example, TCF7L2, ADRB3, LIPE, GIPR), revealing plausible mechanisms according to existing biological knowledge. A set of differentially expressed genes was identified to discriminate in overweight children those with high or low triglyceride levels. CONCLUSIONS: Functional microarray analysis has revealed a set of potential blood-cell transcript-based biomarkers that may be a useful approach for early identification of children with higher predisposition to obesity-related metabolic alterations.

Lingua abstract: inglese

Pagine da: 1481

Pagine a: 1488

Pagine totali: 8


International journal of obesity Macmillan, Nature Publishing
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 0307-0565

Numero volume: 41

Numero fascicolo: 10

DOI: 10.1038/ijo.2017.132

Referee: Sì: Internazionale

Stato della pubblicazione: Published version

Indicizzato da: ISI Web of Science (WOS) [000412190000005]

Parole chiave:

  • transcriptome
  • children
  • biomarkers

URL: https://www.nature.com/articles/ijo2017132

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