The effect of polyphenols on DNA methylation-assessed biological age attenuation: the DIRECT PLUS randomized controlled trial.

Epigenetics Green-MED diet Methylation age Tyrosol Urine metabolomics Urolithins Weight loss

Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
25 09 2023
Historique:
received: 18 05 2023
accepted: 31 07 2023
medline: 26 9 2023
pubmed: 25 9 2023
entrez: 24 9 2023
Statut: epublish

Résumé

Epigenetic age is an estimator of biological age based on DNA methylation; its discrepancy from chronologic age warrants further investigation. We recently reported that greater polyphenol intake benefitted ectopic fats, brain function, and gut microbiota profile, corresponding with elevated urine polyphenols. The effect of polyphenol-rich dietary interventions on biological aging is yet to be determined. We calculated different biological aging epigenetic clocks of different generations (Horvath2013, Hannum2013, Li2018, Horvath skin and blood2018, PhenoAge2018, PCGrimAge2022), their corresponding age and intrinsic age accelerations, and DunedinPACE, all based on DNA methylation (Illumina EPIC array; pre-specified secondary outcome) for 256 participants with abdominal obesity or dyslipidemia, before and after the 18-month DIRECT PLUS randomized controlled trial. Three interventions were assigned: healthy dietary guidelines, a Mediterranean (MED) diet, and a polyphenol-rich, low-red/processed meat Green-MED diet. Both MED groups consumed 28 g walnuts/day (+ 440 mg/day polyphenols). The Green-MED group consumed green tea (3-4 cups/day) and Mankai (Wolffia globosa strain) 500-ml green shake (+ 800 mg/day polyphenols). Adherence to the Green-MED diet was assessed by questionnaire and urine polyphenols metabolomics (high-performance liquid chromatography quadrupole time of flight). Baseline chronological age (51.3 ± 10.6 years) was significantly correlated with all methylation age (mAge) clocks with correlations ranging from 0.83 to 0.95; p < 2.2e - 16 for all. While all interventions did not differ in terms of changes between mAge clocks, greater Green-Med diet adherence was associated with a lower 18-month relative change (i.e., greater mAge attenuation) in Li and Hannum mAge (beta =  - 0.41, p = 0.004 and beta =  - 0.38, p = 0.03, respectively; multivariate models). Greater Li mAge attenuation (multivariate models adjusted for age, sex, baseline mAge, and weight loss) was mostly affected by higher intake of Mankai (beta =  - 1.8; p = 0.061) and green tea (beta =  - 1.57; p = 0.0016) and corresponded with elevated urine polyphenols: hydroxytyrosol, tyrosol, and urolithin C (p < 0.05 for all) and urolithin A (p = 0.08), highly common in green plants. Overall, participants undergoing either MED-style diet had ~ 8.9 months favorable difference between the observed and expected Li mAge at the end of the intervention (p = 0.02). This study showed that MED and green-MED diets with increased polyphenols intake, such as green tea and Mankai, are inversely associated with biological aging. To the best of our knowledge, this is the first clinical trial to indicate a potential link between polyphenol intake, urine polyphenols, and biological aging. ClinicalTrials.gov, NCT03020186.

Sections du résumé

BACKGROUND
Epigenetic age is an estimator of biological age based on DNA methylation; its discrepancy from chronologic age warrants further investigation. We recently reported that greater polyphenol intake benefitted ectopic fats, brain function, and gut microbiota profile, corresponding with elevated urine polyphenols. The effect of polyphenol-rich dietary interventions on biological aging is yet to be determined.
METHODS
We calculated different biological aging epigenetic clocks of different generations (Horvath2013, Hannum2013, Li2018, Horvath skin and blood2018, PhenoAge2018, PCGrimAge2022), their corresponding age and intrinsic age accelerations, and DunedinPACE, all based on DNA methylation (Illumina EPIC array; pre-specified secondary outcome) for 256 participants with abdominal obesity or dyslipidemia, before and after the 18-month DIRECT PLUS randomized controlled trial. Three interventions were assigned: healthy dietary guidelines, a Mediterranean (MED) diet, and a polyphenol-rich, low-red/processed meat Green-MED diet. Both MED groups consumed 28 g walnuts/day (+ 440 mg/day polyphenols). The Green-MED group consumed green tea (3-4 cups/day) and Mankai (Wolffia globosa strain) 500-ml green shake (+ 800 mg/day polyphenols). Adherence to the Green-MED diet was assessed by questionnaire and urine polyphenols metabolomics (high-performance liquid chromatography quadrupole time of flight).
RESULTS
Baseline chronological age (51.3 ± 10.6 years) was significantly correlated with all methylation age (mAge) clocks with correlations ranging from 0.83 to 0.95; p < 2.2e - 16 for all. While all interventions did not differ in terms of changes between mAge clocks, greater Green-Med diet adherence was associated with a lower 18-month relative change (i.e., greater mAge attenuation) in Li and Hannum mAge (beta =  - 0.41, p = 0.004 and beta =  - 0.38, p = 0.03, respectively; multivariate models). Greater Li mAge attenuation (multivariate models adjusted for age, sex, baseline mAge, and weight loss) was mostly affected by higher intake of Mankai (beta =  - 1.8; p = 0.061) and green tea (beta =  - 1.57; p = 0.0016) and corresponded with elevated urine polyphenols: hydroxytyrosol, tyrosol, and urolithin C (p < 0.05 for all) and urolithin A (p = 0.08), highly common in green plants. Overall, participants undergoing either MED-style diet had ~ 8.9 months favorable difference between the observed and expected Li mAge at the end of the intervention (p = 0.02).
CONCLUSIONS
This study showed that MED and green-MED diets with increased polyphenols intake, such as green tea and Mankai, are inversely associated with biological aging. To the best of our knowledge, this is the first clinical trial to indicate a potential link between polyphenol intake, urine polyphenols, and biological aging.
TRIAL REGISTRATION
ClinicalTrials.gov, NCT03020186.

Identifiants

pubmed: 37743489
doi: 10.1186/s12916-023-03067-3
pii: 10.1186/s12916-023-03067-3
pmc: PMC10519069
doi:

Banques de données

ClinicalTrials.gov
['NCT03020186']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

364

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

Références

J Nutr. 2005 Mar;135(3):573-9
pubmed: 15735096
N Engl J Med. 2008 Jul 17;359(3):229-41
pubmed: 18635428
Nucleic Acids Res. 2007 Jan;35(Database issue):D747-50
pubmed: 17132828
Elife. 2022 Jan 14;11:
pubmed: 35029144
Bioinformatics. 2021 Jul 19;37(12):1759-1760
pubmed: 32960939
Antioxidants (Basel). 2021 Feb 13;10(2):
pubmed: 33668479
Nat Aging. 2023 Mar;3(3):248-257
pubmed: 37118425
Clin Epigenetics. 2021 Mar 4;13(1):48
pubmed: 33663610
Nutrients. 2021 May 30;13(6):
pubmed: 34070816
Gut. 2021 Nov;70(11):2085-2095
pubmed: 33461965
Am J Clin Nutr. 2022 Jan 11;115(1):171-179
pubmed: 34637497
Am J Epidemiol. 2018 Mar 1;187(3):529-538
pubmed: 29020168
Genome Biol. 2013;14(10):R115
pubmed: 24138928
Front Public Health. 2017 Dec 11;5:335
pubmed: 29312916
Environ Sci Technol. 2022 Oct 18;56(20):14690-14700
pubmed: 36197060
Aging Cell. 2016 Feb;15(1):149-54
pubmed: 26594032
Genome Med. 2022 Mar 10;14(1):29
pubmed: 35264213
Metabolism. 2023 Aug;145:155594
pubmed: 37236302
Sci Rep. 2017 Aug 15;7(1):8183
pubmed: 28811542
Aging (Albany NY). 2018 Apr 18;10(4):573-591
pubmed: 29676998
Food Chem. 2014;152:340-8
pubmed: 24444946
Adv Nutr. 2016 Sep 15;7(5):961-72
pubmed: 27633111
Clin Epigenetics. 2016 Jun 03;8:64
pubmed: 27274774
Public Health Nutr. 2004 Sep;7(6):745-9
pubmed: 15369612
Mol Nutr Food Res. 2016 May;60(5):1129-38
pubmed: 26872561
Circ Genom Precis Med. 2018 Mar;11(3):e001937
pubmed: 29555670
J Gerontol A Biol Sci Med Sci. 2019 Jan 1;74(1):91-98
pubmed: 30256915
Geroscience. 2020 Apr;42(2):687-701
pubmed: 31981007
Mol Cell. 2013 Jan 24;49(2):359-367
pubmed: 23177740
Epigenetics. 2018;13(9):975-987
pubmed: 30264654
Aging Cell. 2021 Oct;20(10):e13439
pubmed: 34535961
Crit Rev Food Sci Nutr. 2017 Aug 13;57(12):2589-2599
pubmed: 26357880
Am J Clin Nutr. 2022 Jan 11;115(1):163-170
pubmed: 34134146
Geroscience. 2023 Aug 19;:
pubmed: 37597113
Hum Brain Mapp. 2018 Jun;39(6):2500-2513
pubmed: 29468773
Am J Clin Nutr. 2022 May 1;115(5):1270-1281
pubmed: 35021194
Epigenetics. 2012 Sep;7(9):994-1007
pubmed: 22894906
Antioxid Redox Signal. 2013 May 10;18(14):1818-92
pubmed: 22794138
Environ Health Perspect. 2018 Jun 14;126(6):067005
pubmed: 29906262
Mol Nutr Food Res. 2018 Dec;62(23):e1800092
pubmed: 30350398
BMC Geriatr. 2019 Feb 28;19(1):59
pubmed: 30819102
J Nutr. 2019 Jun 1;149(6):1004-1011
pubmed: 30915471
Aging (Albany NY). 2017 Feb 14;9(2):419-446
pubmed: 28198702
Molecules. 2019 May 24;24(10):
pubmed: 31137753
Biogerontology. 2021 Apr;22(2):165-187
pubmed: 33502634
Genome Biol. 2015 Jan 30;16:25
pubmed: 25633388
Nat Aging. 2022 Jul;2(7):644-661
pubmed: 36277076
Aging (Albany NY). 2019 Jan 21;11(2):303-327
pubmed: 30669119
Heart. 2021 Jun 11;107(13):1054-1061
pubmed: 33234670
Biomed Pharmacother. 2002 Aug;56(6):276-82
pubmed: 12224598
Aging (Albany NY). 2021 Apr 12;13(7):9419-9432
pubmed: 33844651
Aging (Albany NY). 2018 Jul 26;10(7):1758-1775
pubmed: 30048243
Aging (Albany NY). 2019 Apr 14;11(7):2045-2070
pubmed: 31009935
Hum Mol Genet. 2021 Mar 25;30(1):119-134
pubmed: 33450751
Eur J Clin Invest. 2018 Feb;48(2):
pubmed: 29231988
Circulation. 2018 Mar 13;137(11):1143-1157
pubmed: 29142011
BMC Genomics. 2013 May 01;14:293
pubmed: 23631413
BMC Med. 2022 Sep 30;20(1):327
pubmed: 36175997
Nutrients. 2019 Dec 21;12(1):
pubmed: 31877702

Auteurs

Anat Yaskolka Meir (A)

The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Be'er Sheva, Israel.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA.

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, 04103, Leipzig, Germany.
Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany.

Anne Hoffmann (A)

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

Ehud Rinott (E)

The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Be'er Sheva, Israel.

Gal Tsaban (G)

The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Be'er Sheva, Israel.
Soroka University Medical Center, 84101, Be'er Sheva, Israel.

Alon Kaplan (A)

The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Be'er Sheva, Israel.

Hila Zelicha (H)

The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Be'er Sheva, Israel.

Tobias Hagemann (T)

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

Uta Ceglarek (U)

Institute of Laboratory Medicine, Clinical Chemistry, and Molecular Diagnostics, University of Leipzig Medical Center, 04103, Leipzig, Germany.

Berend Isermann (B)

Institute of Laboratory Medicine, Clinical Chemistry, and Molecular Diagnostics, University of Leipzig Medical Center, 04103, Leipzig, Germany.

Ilan Shelef (I)

Soroka University Medical Center, 84101, Be'er Sheva, Israel.

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, 04103, Leipzig, Germany.
Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, 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, 04103, Leipzig, Germany.
Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany.

Jun Li (J)

Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and, Harvard Medical School, Boston, MA, 02115, USA.

Sven-Bastian Haange (SB)

Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research GmbH, 04318, Leipzig, Germany.

Beatrice Engelmann (B)

Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research GmbH, 04318, Leipzig, Germany.

Ulrike Rolle-Kampczyk (U)

Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research GmbH, 04318, Leipzig, Germany.

Martin von Bergen (M)

Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research GmbH, 04318, Leipzig, Germany.
Institute of Biochemistry, Faculty of Life Sciences, University of Leipzig, 04103, Leipzig, Germany.

Frank B Hu (FB)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA.
Department of Nutrition, 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, MA, 02115, USA.

Meir J Stampfer (MJ)

Department of Nutrition, 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, MA, 02115, USA.

Peter Kovacs (P)

Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany. peter.kovacs@medizin.uni-leipzig.de.

Liming Liang (L)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA. lliang@hsph.harvard.edu.

Iris Shai (I)

The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Be'er Sheva, Israel. irish@bgu.ac.il.
Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, 04103, Leipzig, Germany. irish@bgu.ac.il.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. irish@bgu.ac.il.
Faculty of Medicine, Leipzig University, Leipzig, 04103, Germany. irish@bgu.ac.il.

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