Genome-wide DNA methylation pattern in visceral adipose tissue differentiates insulin-resistant from insulin-sensitive obese subjects

Autors de IIS La Fe
Autors aliens a IIS La Fe
- Crujeiras, A. B.
- Diaz-Lagares, A.
- Moreno-Navarrete, J. M.
- Gomez, A.
- Ricart, W.
- Casanueva, F. F.
- Fernandez-Real, J. M.
Grups d'Investigació
Abstract
Elucidating the potential mechanisms involved in the detrimental effect of excess body weight on insulin action is an important priority in counteracting obesity associated diseases. The present study aimed to disentangle the epigenetic basis of insulin resistance by performing a genome-wide epigenetic analysis in visceral adipose tissue (VAT) from morbidly obese patients depending on the insulin sensitivity evaluated by the clamp technique. The global human methylome screening performed in VAT from 7 insulin-resistant (IR) and 5 insulin-sensitive (IS) morbidly obese patients (discovery cohort) analyzed using the Infinium Human Methylation450 BeadChip array identified 982 CpG sites able to perfectly separate the IR and IS samples. The identified sites represented 538 unique genes, 10% of which were diabetes-associated genes. The current work identified novel IR-related genes epigenetically regulated in VAT, such as COL9AI, COL11A2, CD44, MUC4, ADAM2, IGF2BP1, GATA4, TETI, ZNF714, ADCY9, TBX5, and HDACM. The gene with the largest methylation fold-change and mapped by 5 differentially methylated CpG sites located in island/shore and promoter region was ZNF714. This gene presented lower methylation levels in IR than in IS patients in association with increased transcription levels, as further reflected in a validation cohort (n = 24; 11 IR and 13 IS). This study reveals, for the first time, a potential epigenetic regulation involved in the dysregulation of VAT that could predispose patients to insulin resistance and future type 2 diabetes in morbid obesity, providing a potential therapeutic target and biomarkers for counteracting this process.
Dades de la publicació
- ISSN/ISSNe:
- 1931-5244, 1878-1810
- Tipus:
- Article
- Pàgines:
- 13-24
- PubMed:
- 27477082
- Factor d'Impacte:
- 1,809 SCImago ℠
- Quartil:
- Q1 SCImago ℠
TRANSLATIONAL RESEARCH ELSEVIER SCIENCE INC
Cites Rebudes en Web of Science: 56
Documents
- No hi ha documents
Filiacions
Filiacions no disponibles
Keywords
- EPIGENETIC SIGNATURE; FAT; METABOLISM; EXPRESSION; GENES; MUSCLE; CELLS
Projectes associats
RED TEMATICA DE INVESTIGACION COOPERATIVA EN CANCER (RTICC)
Investigador Principal: MIGUEL ÁNGEL SANZ ALONSO
RD12/0036/0014 . INSTITUTO DE SALUD CARLOS III . 2013
IDENTIFICACION DE NUEVAS MOLECULAS CON ACTIVIDAD ANTICOAGULANTE Y/O CITOPROTECTORA EN LA VIA DE LA PROTEINA C: EXPLORANDO SU UTILIDAD CLINICA.
Investigador Principal: SILVIA NAVARRO ROSALES
PI14/00512 . INSTITUTO DE SALUD CARLOS III . 2015
INTEGRATIVE (EPI)GENOMIC AND DRUG TARGET ANALYSIS FOR IDENTIFICATION/VALIDATION OF CLINICALLY VALUABLE BIOMARKERS TO IMPROVE THE POOR OUTCOME OF NON-SMALL CELL LUNG CANCER PATIENTS.
Investigador Principal: JUAN SANDOVAL DEL AMOR
CP13/00055 . INSTITUTO DE SALUD CARLOS III; FUNDACIÓN PARA LA INVESTIGACIÓN DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA . 2015
ADQUISICIÓN DE UNA PLATAFORMA BIG DATA PARA EL ANÁLISIS Y LA GESTIÓN DE DATOS MULTI-ÓMICOS Y CLÍNICOS ORIENTADA A LA MEDICINA DE PRECISIÓN.
Investigador Principal: JOSÉ VICENTE CASTELL RIPOLL
FUFE15-EE-3906 . MINISTERIO DE ECONOMIA Y COMPETITIVIDAD . 2016
IMPLANTACIÓN DE LA MEDICINA PERSONALIZADA EN ONCOLOGÍA PEDIÁTRICA: FARMACOGENÉTICA, EPIGENÉTICA, METABOLÓMICA Y LOS SISTEMAS DE INFORMACIÓN.
Investigador Principal: MARÍA JOSÉ HERRERO CERVERA
MJH-CIS-2016-01 . FUNDACION MUTUA MADRILEÑA . 2016