Detalle Publicación

Association of weight regain with specific methylation levels in the NPY and POMC promoters in leukocytes of obese men: A translational study

Título de la revista: REGULATORY PEPTIDES
ISSN: 0167-0115
Volumen: 186
Páginas: 1 - 6
Fecha de publicación: 2013
Resumen:
Specific methylation of appetite-related genes in leukocytes could serve as a useful biomarker to predict weight regain after an energy restriction program. We aimed to evaluate whether the pre-intervention DNA methylation patterns involved in the epigenetic control of appetite-regulatory genes in leukocytes are associated with the weight regain process. Eighteen men who lost ¿5% of body weight after an 8-week nutritional intervention were categorized as "regainers" (¿10% weight regain) and "non-regainers" (<10% weight regain) 32weeks after stopping dieting. At baseline, leukocytes were isolated and DNA was analyzed for epigenetic methylation patterns of appetite-related gene promoters by MALDI-TOF mass spectrometry. Regainers showed higher methylation levels than non-regainers in proopiomelanocortin (POMC) CpG sites +136bp and +138bp (fold change from non-regainers=26%; p=0.020) and lower methylation of the whole analyzed region of neuropeptide Y (NPY; fold change from non-regainers=-22%; p=0.033), as well as of several individual NPY-promoter CpG sites. Importantly, total baseline NPY methylation was associated with weight-loss regain (r=-0.76; p<0.001), baseline plasma ghrelin levels (r=0.60; p=0.011) and leptin/ghrelin ratio (r=-0.52; p=0.046). Lower methylation levels of POMC CpG sites +136bp and +138bp were associated with success in weight-loss maintenance (odds ratio=0.042 [95% CI 0.01-0.57]; p=0.018), whereas lower total methylation levels in NPY promoter were associated with higher risk of weight regain (odds ratio=14.0 [95% CI 1.13-172]; p=0.039). Therefore, the study of leukocyte methylation levels reflects a putative epigenetic regulation of NPY and POMC, which might be implicated in the weight regain process and be used as biomarkers for predicting weight regain after dieting.
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