Cargando…
Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study
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...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508854/ https://www.ncbi.nlm.nih.gov/pubmed/34638758 http://dx.doi.org/10.3390/ijms221910417 |
_version_ | 1784582196384759808 |
---|---|
author | Gutiérrez-Repiso, Carolina Linares-Pineda, Teresa María Gonzalez-Jimenez, Andres Aguilar-Lineros, Francisca Valdés, Sergio Soriguer, Federico Rojo-Martínez, Gemma Tinahones, Francisco J. Morcillo, Sonsoles |
author_facet | Gutiérrez-Repiso, Carolina Linares-Pineda, Teresa María Gonzalez-Jimenez, Andres Aguilar-Lineros, Francisca Valdés, Sergio Soriguer, Federico Rojo-Martínez, Gemma Tinahones, Francisco J. Morcillo, Sonsoles |
author_sort | Gutiérrez-Repiso, Carolina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8508854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85088542021-10-13 Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study Gutiérrez-Repiso, Carolina Linares-Pineda, Teresa María Gonzalez-Jimenez, Andres Aguilar-Lineros, Francisca Valdés, Sergio Soriguer, Federico Rojo-Martínez, Gemma Tinahones, Francisco J. Morcillo, Sonsoles Int J Mol Sci Article 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. MDPI 2021-09-27 /pmc/articles/PMC8508854/ /pubmed/34638758 http://dx.doi.org/10.3390/ijms221910417 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gutiérrez-Repiso, Carolina Linares-Pineda, Teresa María Gonzalez-Jimenez, Andres Aguilar-Lineros, Francisca Valdés, Sergio Soriguer, Federico Rojo-Martínez, Gemma Tinahones, Francisco J. Morcillo, Sonsoles Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study |
title | Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study |
title_full | Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study |
title_fullStr | Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study |
title_full_unstemmed | Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study |
title_short | Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study |
title_sort | epigenetic biomarkers of transition from metabolically healthy obesity to metabolically unhealthy obesity phenotype: a prospective study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508854/ https://www.ncbi.nlm.nih.gov/pubmed/34638758 http://dx.doi.org/10.3390/ijms221910417 |
work_keys_str_mv | AT gutierrezrepisocarolina epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT linarespinedateresamaria epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT gonzalezjimenezandres epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT aguilarlinerosfrancisca epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT valdessergio epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT soriguerfederico epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT rojomartinezgemma epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT tinahonesfranciscoj epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy AT morcillosonsoles epigeneticbiomarkersoftransitionfrommetabolicallyhealthyobesitytometabolicallyunhealthyobesityphenotypeaprospectivestudy |