Literature DB >> 22278432

Blood cells as a source of transcriptional biomarkers of childhood obesity and its related metabolic alterations: results of the IDEFICS study.

Juana Sánchez1, Teresa Priego, Catalina Picó, Wolfgang Ahrens, Stefaan De Henauw, Arno Fraterman, Staffan Mårild, Dénes Molnár, Luis A Moreno, Jenny Peplies, Paola Russo, Alfonso Siani, Michael Tornaritis, Toomas Veidebaum, Andreu Palou.   

Abstract

BACKGROUND: IDEFICS (Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants Project) is a European multicenter study on childhood obesity. One of its goals is to define early biomarkers of risk associated with obesity and its comorbid conditions.
OBJECTIVE: We considered blood cells as a new potential source of transcriptional biomarkers for these metabolic disorders and examined whether blood cell mRNA levels of some selected genes (LEPR, INSR, CPT1A, SLC27A2, UCP2, FASN, and PPARα) were altered in overweight children and whether their expression levels could be defined as markers of the insulin-resistant or dyslipidemic state associated with overweight.
DESIGN: Blood samples were obtained from 306 normal-weight and overweight children, aged 2-9 yr, from eight different European countries. Whole-blood mRNA levels were assessed by quantitative RT-PCR.
RESULTS: LEPR, INSR, and CPT1A mRNA levels were higher in overweight compared with normal-weight children (the two latter only in males), whereas SLC27A2 mRNA levels were lower in overweight children. Significant associations were also found between expression levels of LEPR, INSR, CPT1A, SLC27A2, FASN, PPARα, and different parameters, including body mass index, homeostasis model assessment index, and plasma triglycerides and cholesterol levels. These associations showed that high expression levels of CPT1A, SLC27A2, INSR, FASN, or PPARα may be indicative of a lower risk for the insulin-resistant or dyslipidemic state associated with obesity, whereas low LEPR mRNA levels appear as a marker of high low-density lipoprotein cholesterol, independently of body mass index.
CONCLUSIONS: These findings point toward the possibility of using the expression levels of these genes in blood cells as markers of metabolic status and can potentially provide an early warning of a future disorder.

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Year:  2012        PMID: 22278432     DOI: 10.1210/jc.2011-2209

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  16 in total

1.  Blood cells transcriptomics as source of potential biomarkers of articular health improvement: effects of oral intake of a rooster combs extract rich in hyaluronic acid.

Authors:  Juana Sánchez; M Luisa Bonet; Jaap Keijer; Evert M van Schothorst; Ingrid Mölller; Carles Chetrit; Daniel Martinez-Puig; Andreu Palou
Journal:  Genes Nutr       Date:  2014-07-15       Impact factor: 5.523

2.  Transcriptome analysis in blood cells from children reveals potential early biomarkers of metabolic alterations.

Authors:  J Sánchez; C Picó; W Ahrens; R Foraita; A Fraterman; L A Moreno; P Russo; A Siani; A Palou
Journal:  Int J Obes (Lond)       Date:  2017-06-06       Impact factor: 5.095

3.  Role of cellular retinol-binding protein, type 1 and retinoid homeostasis in the adult mouse heart: A multi-omic approach.

Authors:  Stephanie Zalesak-Kravec; Weiliang Huang; Jace W Jones; Jianshi Yu; Jenna Alloush; Amy E Defnet; Alexander R Moise; Maureen A Kane
Journal:  FASEB J       Date:  2022-04       Impact factor: 5.834

4.  Increased TNF α, IL-6 and ErbB2 mRNA expression in peripheral blood leukocytes from breast cancer patients.

Authors:  Majed S Alokail; Nasser M Al-Daghri; Abdul Khader Mohammed; Paul Vanhoutte; Amal Alenad
Journal:  Med Oncol       Date:  2014-06-25       Impact factor: 3.064

5.  Identification of early transcriptome-based biomarkers related to lipid metabolism in peripheral blood mononuclear cells of rats nutritionally programmed for improved metabolic health.

Authors:  J Konieczna; J Sánchez; E M van Schothorst; J M Torrens; A Bunschoten; M Palou; C Picó; J Keijer; A Palou
Journal:  Genes Nutr       Date:  2013-12-17       Impact factor: 5.523

6.  Whole Blood Transcriptomics Is Relevant to Identify Molecular Changes in Response to Genetic Selection for Feed Efficiency and Nutritional Status in the Pig.

Authors:  Maëva Jégou; Florence Gondret; Annie Vincent; Christine Tréfeu; Hélène Gilbert; Isabelle Louveau
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

7.  Cognitive impairment in metabolically-obese, normal-weight rats: identification of early biomarkers in peripheral blood mononuclear cells.

Authors:  Margalida Cifre; Andreu Palou; Paula Oliver
Journal:  Mol Neurodegener       Date:  2018-03-22       Impact factor: 14.195

8.  Blood cell transcriptomic-based early biomarkers of adverse programming effects of gestational calorie restriction and their reversibility by leptin supplementation.

Authors:  Jadwiga Konieczna; Juana Sánchez; Mariona Palou; Catalina Picó; Andreu Palou
Journal:  Sci Rep       Date:  2015-03-13       Impact factor: 4.379

9.  Longitudinal weight differences, gene expression and blood biomarkers in BMI-discordant identical twins.

Authors:  J van Dongen; G Willemsen; B T Heijmans; J Neuteboom; C Kluft; R Jansen; B W J Penninx; P E Slagboom; E J C de Geus; D I Boomsma
Journal:  Int J Obes (Lond)       Date:  2015-03-13       Impact factor: 5.095

10.  Unraveling the rat blood genome-wide transcriptome after oral administration of lavender oil by a two-color dye-swap DNA microarray approach.

Authors:  Motohide Hori; Hiroko Kubo; Junko Shibato; Tomomi Saito; Tetsuo Ogawa; Minoru Wakamori; Yoshinori Masuo; Seiji Shioda; Randeep Rakwal
Journal:  Genom Data       Date:  2016-05-12
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