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Gene methylation parallelisms between peripheral blood cells and oral mucosa samples in relation to overweight

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An Erratum to this article was published on 05 October 2017

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Abstract

Epigenetics has an important role in the regulation of metabolic adaptation to environmental modifications. In this sense, the determination of epigenetic changes in non-invasive samples during the development of metabolic diseases could play an important role in the procedures in primary healthcare practice. To help translate the knowledge of epigenetics to public health practice, the present study aims to explore the parallelism of methylation levels between white blood cells and buccal samples in relation to obesity and associated disorders. Blood and buccal swap samples were collected from a subsample of the Spanish cohort of the Food4Me study. Infinium HumanMethylation450 DNA Analysis was carried out for the determination of methylation levels. Standard deviation for β values method and concordance correlation analysis were used to select those CpG which showed best parallelism between samples. A total of 277 CpGs met the criteria and were selected for an enrichment analysis and a correlation analysis with anthropometrical and clinical parameters. From those selected CpGs, four presented high associations with BMI (cg01055691 in GAP43; r = −0.92 and rho = −0.84 for blood; r = −0.89 and rho = −0.83 for buccal sample), HOMA-IR (cg00095677 in ATP2A3; r = 0.82 and rho = −0.84 for blood; r = −0.8 and rho = −0.83 for buccal sample) and leptin (cg14464133 in ADARB2; r = −0.9182 and rho = −0.94 for blood; r = −0.893 and rho = −0.79 for buccal sample). These findings demonstrate the potential application of non-invasive buccal samples in the identification of surrogate epigenetic biomarkers and identify methylation sites in GAP43, ATP2A3 and ADARB2 genes as potential targets in relation to overweight management and insulin sensibility.

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Change history

  • 05 October 2017

    Volume 73 issue 3 was published with an incorrect cover date. Correct is August 2017. The Publisher apologizes for this mistake and all related inconveniences caused by this.

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Acknowledgements

The Food4Me study is supported by the European Commission under the Food, Agriculture, Fisheries and Biotechnology Theme of the 7th Framework Programme for Research and Technological Development, Grant Number 265494. The authors want to thank all the volunteers who took part in the study, as well as Maria Hernández Ruiz de Eguilaz, Salomé Perez-Diez, Blanca Martínez de Morentin and Veronica Ciaurriz for technical and laboratory support. The research leading to these results has received funding from “la Caixa” Banking Foundation (RS-C scholarship). CIBERobn funds are also acknowledged.

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Authors and Affiliations

  1. Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain

    Rodrigo San-Cristobal, Santiago Navas-Carretero, Fermín I. Milagro, J. Ignacio Riezu-Boj & J. Alfredo Martinez

  2. CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain

    Santiago Navas-Carretero, Fermín I. Milagro & J. Alfredo Martinez

  3. Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain

    Fermín I. Milagro, J. Ignacio Riezu-Boj, Elizabeth Guruceaga & J. Alfredo Martinez

  4. Unit of Proteomics, Genomics and Bioinformatics, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain

    Elizabeth Guruceaga

  5. Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle Upon Tyne, UK

    Carlos Celis-Morales, Katherine M. Livingstone & John C. Mathers

  6. UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Republic of Ireland

    Lorraine Brennan, Eileen R. Gibney & Michael J. Gibney

  7. Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK

    Julie A. Lovegrove

  8. ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Munich, Germany

    Hannelore Daniel

  9. Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands

    Wim H. Saris

  10. Department of Human Nutrition, Faculty on Health Sciences, Medical University of Warsaw, Warsaw, Poland

    Iwonna Traczyk

  11. Department of Nutrition and Dietetics, Harokopio University, Athens, Greece

    Yannis Manios

  12. Instituto Madrileño de Estudios Avanzados, IMDEA-Alimentación, Madrid, Spain

    J. Alfredo Martinez

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  1. Rodrigo San-Cristobal
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  2. Santiago Navas-Carretero
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  17. J. Alfredo Martinez
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Correspondence to Rodrigo San-Cristobal.

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An erratum to this article is available at https://doi.org/10.1007/s13105-017-0593-x.

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San-Cristobal, R., Navas-Carretero, S., Milagro, F.I. et al. Gene methylation parallelisms between peripheral blood cells and oral mucosa samples in relation to overweight. J Physiol Biochem 73, 465–474 (2016). https://doi.org/10.1007/s13105-017-0560-6

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