1. Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study
- Author
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Sergio Valdés, Francisco J. Tinahones, Andres Gonzalez-Jimenez, Francisca Aguilar-Lineros, Teresa María Linares-Pineda, Sonsoles Morcillo, Gemma Rojo-Martínez, Federico Soriguer, Carolina Gutiérrez-Repiso, [Gutiérrez-Repiso,C, Linares-Pineda,TM, Aguilar-Lineros,F, Tinahones,FJ, Morcillo,S] Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain. [Gutiérrez-Repiso,C, Morcillo,S] Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain. [Gonzalez-Jimenez,A] ECAI Bioinformática Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain. [Valdés,S, Soriguer,F, Rojo-Martínez,G] Departamento de Endocrinología and Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain. [Valdés,S, Rojo-Martínez,G] Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain. [Tinahones,FJ] Departamento de Medicina y Dermatología, Universidad de Málaga, Málaga, Spain., and T.M.L.-P. and C.G.-R. were supported by a grant from the Instituto de Salud Carlos III (FI19/00178 and CP20/00066, respectively). F.A.-L. is supported by a grant from 'Programa Estatal de Promoción del Talento y su empleabilidad 2018' (PEJ2018-005156-A). S.M. and G.R.-M. are supported by Nicolas Monardes program of the Consejería de Salud de la Junta de Andalucía (C 0050-2017, C-0060-2012, respectively). This work was supported in part by a grant from the Instituto de Salud Carlos III (PI15-01350). This study has been co-funded by FEDER funds ('A way to make Europe'). CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) are ISCIII projects.
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Male ,Síndrome metabólico ,Phenomena and Processes::Genetic Phenomena::Phenotype [Medical Subject Headings] ,epigenetic biomarkers ,Epigenesis, Genetic ,Epigenetic biomarkers ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Glycoproteins::Membrane Glycoproteins::Histocompatibility Antigens Class II::HLA-D Antigens::HLA-DR Antigens::HLA-DR beta-Chains::HLA-DRB1 Chains [Medical Subject Headings] ,Metabolically healthy obesity ,Prospective Studies ,Biology (General) ,Spectroscopy ,Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings] ,Phenomena and Processes::Genetic Phenomena::Genetic Structures::Genome::Genome Components::Genes::Pseudogenes [Medical Subject Headings] ,Phenomena and Processes::Metabolic Phenomena::Metabolism::Alkylation::Methylation::DNA Methylation [Medical Subject Headings] ,DNA methylation ,biology ,SLC1A1 ,General Medicine ,Methylation ,Middle Aged ,Phenotype ,Metabolic syndrome ,Computer Science Applications ,Chemistry ,CpG site ,Female ,metabolically healthy obesity ,Chemicals and Drugs::Biological Factors::Biological Markers::Biomarkers, Pharmacological [Medical Subject Headings] ,Metilación de ADN ,Adult ,Adolescent ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings] ,QH301-705.5 ,Check Tags::Male [Medical Subject Headings] ,Phenomena and Processes::Chemical Phenomena::Biochemical Phenomena::Molecular Structure::Base Sequence::GC Rich Sequence::CpG Islands [Medical Subject Headings] ,Catalysis ,Article ,Phenomena and Processes::Immune System Phenomena::Immune System Processes::Antigen Presentation [Medical Subject Headings] ,metabolic syndrome ,Persons::Persons::Age Groups::Adolescent [Medical Subject Headings] ,Inorganic Chemistry ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Follow-Up Studies [Medical Subject Headings] ,Persons::Persons::Volunteers::Healthy Volunteers [Medical Subject Headings] ,medicine ,Humans ,Epigenetics ,Obesity ,Physical and Theoretical Chemistry ,Obesidad metabólica benigna ,Persons::Persons::Age Groups::Adult [Medical Subject Headings] ,Molecular Biology ,QD1-999 ,Aged ,Chemicals and Drugs::Enzymes and Coenzymes::Cytochromes::Cytochrome P-450 Enzyme System::Aryl Hydrocarbon Hydroxylases::Cytochrome P-450 CYP2E1 [Medical Subject Headings] ,Organic Chemistry ,Phenomena and Processes::Genetic Phenomena::Genetic Processes::Gene Expression Regulation::Epigenesis, Genetic [Medical Subject Headings] ,Anatomy::Hemic and Immune Systems::Immune System [Medical Subject Headings] ,Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings] ,medicine.disease ,Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings] ,Immune system ,Biomarcadores ,Sistema inmunológico ,Check Tags::Female [Medical Subject Headings] ,Immunology ,biology.protein ,CpG Islands ,Biomarkers ,Follow-Up Studies - Abstract
Background: Identifying those parameters that could potentially predict the deterioration of metabolically healthy phenotype is a matter of debate. In this field, epigenetics, in particular DNA methylation deserves special attention. Results: The aim of the present study was to analyze the long-term evolution of methylation patterns in a subset of metabolically healthy subjects in order to search for epigenetic markers that could predict the progression to an unhealthy state. Twenty-six CpG sites were significantly differentially methylated, both at baseline and 11-year follow-up. These sites were related to 19 genes or pseudogenes, a more in-depth analysis of the methylation sites of these genes showed that CYP2E1 had 50% of the collected CpG sites differently methylated between stable metabolically healthy obesity (MHO) and unstable MHO, followed by HLA-DRB1 (33%), ZBTB45 (16%), HOOK3 (14%), PLCZ1 (14%), SLC1A1 (12%), MUC2 (12%), ZFPM2 (12.5%) and HLA-DQB2 (8%). Pathway analysis of the selected 26 CpG sites showed enrichment in pathways linked to th1 and th2 activation, antigen presentation, allograft rejection signals and metabolic processes. Higher methylation levels in the cg20707527 (ZFPM2) could have a protective effect against the progression to unstable MHO (OR: 0.21, 95%CI (0.067–0.667), p <, 0.0001), whilst higher methylation levels in cg11445109 (CYP2E1) would increase the progression to MUO, OR: 2.72, 95%CI (1.094–6.796), p <, 0.0014, respectively). Conclusions: DNA methylation status is associated with the stability/worsening of MHO phenotype. Two potential biomarkers of the transition to an unhealthy state were identified and deserve further investigation (cg20707527 and cg11445109). Moreover, the described differences in methylation could alter immune system-related pathways, highlighting these pathways as therapeutic targets to prevent metabolic deterioration in MHO patients.
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- 2021
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