Lifestyle weight-loss intervention may attenuate methylation aging: the CENTRAL MRI randomized controlled trial.

Adult Aged Aging / genetics Body Fat Distribution / statistics & numerical data Cardiometabolic Risk Factors CpG Islands DNA Methylation Diet, Carbohydrate-Restricted / methods Diet, Fat-Restricted / methods Dyslipidemias / diet therapy Epigenomics Fatty Liver / genetics Female Glucose Intolerance / genetics Health Status Humans Life Style Magnetic Resonance Imaging / methods Male Middle Aged Obesity, Abdominal / diet therapy Weight Loss / genetics
Age prediction Aging DNA methylation Intrahepatic fat Weight loss

Journal

Clinical epigenetics
ISSN: 1868-7083
Titre abrégé: Clin Epigenetics
Pays: Germany
ID NLM: 101516977

Informations de publication

Date de publication:
04 03 2021
Historique:
received: 30 06 2020
accepted: 23 02 2021
entrez: 5 3 2021
pubmed: 6 3 2021
medline: 15 12 2021
Statut: epublish

Résumé

DNA methylation age (mAge), a methylation biomarker for the aging process, might serve as a more accurate predictor of morbidity and aging status than chronological age. We evaluated the role of multiple factors, including fat deposition, cardiometabolic risk factors and lifestyle weight-loss intervention, on the deviation of mAge from chronological age (mAge deviation) or 18-month change in mAge (∆mAge). In this sub-study of the CENTRAL magnetic resonance imaging weight-loss trial, we evaluated mAge by a validated 240-CpG-based prediction formula at baseline and after 18-month intervention of either low fat (LF) or mediterranean/low carbohydrate (MED/LC) diets. Among 120 CENTRAL participants with abdominal obesity or dyslipidemia, mAge (mean ± SD: 60.3 ± 7.5 years) was higher than the chronological age (48.6 ± 9.3 years) but strongly correlated (r = 0.93; p = 3.1 × 10 Lifestyle weight-loss intervention may attenuate mAging. Deviation of mAge from chronological age might be related to body fat distribution and glycemic control and could indicate biological age, health status and the risk for premature cardiometabolic diseases. ClinicalTrials.gov NCT01530724. Registered 10 February 2012, https://clinicaltrials.gov/ct2/show/study/NCT01530724 .

Sections du résumé

BACKGROUND
DNA methylation age (mAge), a methylation biomarker for the aging process, might serve as a more accurate predictor of morbidity and aging status than chronological age. We evaluated the role of multiple factors, including fat deposition, cardiometabolic risk factors and lifestyle weight-loss intervention, on the deviation of mAge from chronological age (mAge deviation) or 18-month change in mAge (∆mAge). In this sub-study of the CENTRAL magnetic resonance imaging weight-loss trial, we evaluated mAge by a validated 240-CpG-based prediction formula at baseline and after 18-month intervention of either low fat (LF) or mediterranean/low carbohydrate (MED/LC) diets.
RESULTS
Among 120 CENTRAL participants with abdominal obesity or dyslipidemia, mAge (mean ± SD: 60.3 ± 7.5 years) was higher than the chronological age (48.6 ± 9.3 years) but strongly correlated (r = 0.93; p = 3.1 × 10
CONCLUSIONS
Lifestyle weight-loss intervention may attenuate mAging. Deviation of mAge from chronological age might be related to body fat distribution and glycemic control and could indicate biological age, health status and the risk for premature cardiometabolic diseases.
TRIAL REGISTRATION
ClinicalTrials.gov NCT01530724. Registered 10 February 2012, https://clinicaltrials.gov/ct2/show/study/NCT01530724 .

Identifiants

DOI: 10.1186/s13148-021-01038-0 PMID: 33663610 PMC: PMC7934393
pubmed: 33663610
doi: 10.1186/s13148-021-01038-0
pii: 10.1186/s13148-021-01038-0
pmc: PMC7934393
doi:

Banques de données

ClinicalTrials.gov
['NCT01530724']

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

48

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Auteurs

Anat Yaskolka Meir (A)

Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.

Maria Keller (M)

Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany.
Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany.

Stephan H Bernhart (SH)

Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany.
Bioinformatics Group, Department of Computer Science, University of Leipzig, 04107, Leipzig, Germany.
Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany.

Ehud Rinott (E)

Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.

Gal Tsaban (G)

Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.

Hila Zelicha (H)

Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.

Alon Kaplan (A)

Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.

Dan Schwarzfuchs (D)

Soroka University Medical Center, Beer-Sheva, 84101, Israel.

Ilan Shelef (I)

Soroka University Medical Center, Beer-Sheva, 84101, Israel.

Yftach Gepner (Y)

Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine and Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv, 6997801, Israel.

Jun Li (J)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA.

Yifei Lin (Y)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.

Matthias Blüher (M)

Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany.

Uta Ceglarek (U)

Institute for Laboratory Medicine, University of Leipzig Medical Center, Leipzig, 04103, Germany.

Michael Stumvoll (M)

Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany.
Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany.
Deutsches Zentrum Für Diabetesforschung, Neuherberg, 85764, Germany.

Peter F Stadler (PF)

Bioinformatics Group, Department of Computer Science, University of Leipzig, 04107, Leipzig, Germany.
Competence Center for Scalable Data Services and Solutions Dresden/Leipzig, German Centre for Integrative Biodiversity Research (iDiv), and Leipzig Research Center for Civilization Diseases, University of Leipzig, 04109, Leipzig, Germany.
Max Planck Institute for Mathematics in the Sciences, 04103, Leipzig, Germany.
Fraunhofer Institute for Cell Therapy and Immunology, 04103, Leipzig, Germany.
Department of Theoretical Chemistry, University of Vienna, 1090, Vienna, Austria.
Center for RNA in Technology and Health, University of Copenhagen, 1871, Frederiksberg, Denmark.
Santa Fe Institute, Santa Fe, NM, 87501, USA.

Meir J Stampfer (MJ)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, 02115, MA, USA.

Peter Kovacs (P)

Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany.
Deutsches Zentrum Für Diabetesforschung, Neuherberg, 85764, Germany.

Liming Liang (L)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. lliang@hsph.harvard.edu.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA. lliang@hsph.harvard.edu.

Iris Shai (I)

Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel. irish@bgu.ac.il.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA. irish@bgu.ac.il.
ORCID: 0000-0001-9050-4605

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes physiologiques › Croissance et développement › Vieillissement › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Composition corporelle › Répartition du tissu adipeux › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Facteurs de risque de maladie cardiaque › Facteurs de risque cardiométabolique › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes génétiques › Structures génétiques › Génome › Composants de génome › Ilots CpG › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes génétiques › Méthylation de l'ADN › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes physiologiques › Alimentation et nutrition › Phénomènes physiologiques nutritionnels › Régime alimentaire › Régime pauvre en glucides › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes physiologiques › Alimentation et nutrition › Phénomènes physiologiques nutritionnels › Régime alimentaire › Régime pauvre en graisses › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Maladies métaboliques et nutritionnelles › Maladies métaboliques › Troubles du métabolisme lipidique › Dyslipidémies › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Disciplines des sciences naturelles › Disciplines des sciences biologiques › Biologie › Génétique › Génomique › Épigénomique › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Maladies de l'appareil digestif › Maladies du foie › Stéatose hépatique › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Maladies métaboliques et nutritionnelles › Maladies métaboliques › Troubles du métabolisme du glucose › Hyperglycémie › Intolérance au glucose › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Démographie › État de santé › Lifestyle weight-loss intervention may...
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questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Lifestyle weight-loss intervention may...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Obésité › Obésité abdominale › Lifestyle weight-loss intervention may...
questionsmedicales.fr › Phénomènes physiologiques › Croissance et développement › Croissance › Mensurations corporelles › Poids › Modifications du poids corporel › Perte de poids › Lifestyle weight-loss intervention may...