Insulinemic Potential of Lifestyle Is Inversely Associated with Leukocyte Mitochondrial DNA Copy Number in US White Adults.


Journal

The Journal of nutrition
ISSN: 1541-6100
Titre abrégé: J Nutr
Pays: United States
ID NLM: 0404243

Informations de publication

Date de publication:
01 08 2020
Historique:
received: 06 01 2020
revised: 18 03 2020
accepted: 01 05 2020
pubmed: 4 6 2020
medline: 11 11 2020
entrez: 4 6 2020
Statut: ppublish

Résumé

Poor lifestyles have been linked to insulin insensitivity/hyperinsulinemia, which may contribute to downstream changes such as inflammation and oxidative damage and the development of chronic diseases. As a biomarker of intracellular oxidative stress, leukocyte mitochondrial DNA copy number (mtDNA-CN) has been related to lifestyle factors including diet and weight. No epidemiologic study has examined the relation between combined insulinemic potential of lifestyle and mtDNA-CN. Our aim was to examine the association between Empirical Lifestyle Index for Hyperinsulinemia (ELIH) and leukocyte mtDNA-CN in US men and women. This cross-sectional analysis included 2835 white adults without cancers, diabetes, or cardiovascular disease at blood collection, including 2160 women from the Nurses' Health Study and 675 men from the Health Professionals Follow-Up Study. ELIH is an index based on plasma C-peptide that characterizes the insulinemic potential of lifestyle (diet, body weight, and physical activity). Relative mtDNA-CN in peripheral blood leukocytes was measured by qPCR-based assay. We found a significant inverse association between ELIH and mtDNA-CN. In multivariable-adjusted linear models, absolute least squares means ± SDs of mtDNA-CN z score across ELIH quintiles in women were as follows: Q1: 0.14 ± 0.05; Q2: 0.04 ± 0.06; Q3: 0.008 ± 0.05; Q4: 0.01 ± 0.05; and Q5: -0.06 ± 0.05 (P-trend = 0.006). Means ± SDs in men were as follows: Q1: 0.25 ± 0.09; Q2: 0.23 ± 0.09; Q3: 0.07 ± 0.09; Q4: 0.02 ± 0.09; and Q5: -0.04 ± 0.09 (P-trend = 0.007). Means ± SDs in all participants were as follows: Q1: 0.16 ± 0.05; Q2: 0.07 ± 0.05; Q3: 0.01 ± 0.05; Q4: 0.01 ± 0.05; and Q5: -0.05 ± 0.05 (P-trend = 0.0004). Hyperinsulinemic lifestyles (i.e., higher ELIH) were associated with lower leukocyte mtDNA-CN among subjects without major diseases, suggesting that the difference in lifestyle insulinemic potential may be related to excessive oxidative stress damage.

Sections du résumé

BACKGROUND
Poor lifestyles have been linked to insulin insensitivity/hyperinsulinemia, which may contribute to downstream changes such as inflammation and oxidative damage and the development of chronic diseases. As a biomarker of intracellular oxidative stress, leukocyte mitochondrial DNA copy number (mtDNA-CN) has been related to lifestyle factors including diet and weight. No epidemiologic study has examined the relation between combined insulinemic potential of lifestyle and mtDNA-CN.
OBJECTIVES
Our aim was to examine the association between Empirical Lifestyle Index for Hyperinsulinemia (ELIH) and leukocyte mtDNA-CN in US men and women.
METHODS
This cross-sectional analysis included 2835 white adults without cancers, diabetes, or cardiovascular disease at blood collection, including 2160 women from the Nurses' Health Study and 675 men from the Health Professionals Follow-Up Study. ELIH is an index based on plasma C-peptide that characterizes the insulinemic potential of lifestyle (diet, body weight, and physical activity). Relative mtDNA-CN in peripheral blood leukocytes was measured by qPCR-based assay.
RESULTS
We found a significant inverse association between ELIH and mtDNA-CN. In multivariable-adjusted linear models, absolute least squares means ± SDs of mtDNA-CN z score across ELIH quintiles in women were as follows: Q1: 0.14 ± 0.05; Q2: 0.04 ± 0.06; Q3: 0.008 ± 0.05; Q4: 0.01 ± 0.05; and Q5: -0.06 ± 0.05 (P-trend = 0.006). Means ± SDs in men were as follows: Q1: 0.25 ± 0.09; Q2: 0.23 ± 0.09; Q3: 0.07 ± 0.09; Q4: 0.02 ± 0.09; and Q5: -0.04 ± 0.09 (P-trend = 0.007). Means ± SDs in all participants were as follows: Q1: 0.16 ± 0.05; Q2: 0.07 ± 0.05; Q3: 0.01 ± 0.05; Q4: 0.01 ± 0.05; and Q5: -0.05 ± 0.05 (P-trend = 0.0004).
CONCLUSIONS
Hyperinsulinemic lifestyles (i.e., higher ELIH) were associated with lower leukocyte mtDNA-CN among subjects without major diseases, suggesting that the difference in lifestyle insulinemic potential may be related to excessive oxidative stress damage.

Identifiants

pubmed: 32492151
pii: S0022-3166(22)02272-6
doi: 10.1093/jn/nxaa146
pmc: PMC7398789
doi:

Substances chimiques

DNA, Mitochondrial 0
Insulin 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2156-2163

Subventions

Organisme : NCI NIH HHS
ID : U01 CA167552
Pays : United States
Organisme : NCI NIH HHS
ID : R00 CA207736
Pays : United States
Organisme : NCI NIH HHS
ID : UM1 CA186107
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA137178
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA049449
Pays : United States

Informations de copyright

Copyright © The Author(s) on behalf of the American Society for Nutrition 2020.

Références

Cancer Causes Control. 2013 Oct;24(10):1837-47
pubmed: 23846284
Mitochondrion. 2018 Mar;39:9-19
pubmed: 28818596
Eur J Cancer. 2015 Dec;51(18):2747-58
pubmed: 26597445
BMC Med. 2018 Dec 13;16(1):232
pubmed: 30541568
Curr Opin Lipidol. 2002 Feb;13(1):3-9
pubmed: 11790957
Nature. 2001 Dec 13;414(6865):807-12
pubmed: 11742413
Am J Clin Nutr. 2019 Feb 1;109(2):424-432
pubmed: 30721920
Surgery. 2014 Aug;156(2):405-11
pubmed: 24962189
Front Biosci (Landmark Ed). 2017 Jan 1;22:920-943
pubmed: 27814655
Metabolism. 2015 Oct;64(10):1324-33
pubmed: 26169471
Hum Genet. 2014 Sep;133(9):1149-59
pubmed: 24902542
Am J Prev Med. 2015 Feb;48(2):128-135
pubmed: 25442224
Osteoporos Int. 2009 Apr;20(4):537-42
pubmed: 18766292
J Am Diet Assoc. 1987 Jan;87(1):43-7
pubmed: 3794132
Carcinogenesis. 2019 Dec 31;40(12):1462-1468
pubmed: 31556446
Am J Physiol Endocrinol Metab. 2019 Feb 1;316(2):E268-E285
pubmed: 30601700
Diabetes Care. 2008 Feb;31 Suppl 2:S262-8
pubmed: 18227495
JNCI Cancer Spectr. 2018 Nov;2(4):pky080
pubmed: 30740588
Diabetes. 2013 Oct;62(10):3488-99
pubmed: 23863811
J Natl Cancer Inst. 2019 Feb 1;111(2):170-179
pubmed: 30726946
BMJ. 2019 Jun 26;365:l2323
pubmed: 31243014
Am J Clin Nutr. 1999 Feb;69(2):243-9
pubmed: 9989687
Int J Sports Med. 2018 Dec;39(13):972-977
pubmed: 30326527
PLoS Med. 2016 Jul 19;13(7):e1002087
pubmed: 27434027
Lancet. 1991 Aug 24;338(8765):464-8
pubmed: 1678444
Nutrients. 2018 Jun 30;10(7):
pubmed: 29966372
Hum Reprod. 2012 Jul;27(7):2130-45
pubmed: 22556376
Br J Nutr. 2016 Nov 8;:1-12
pubmed: 27821188
Am J Clin Nutr. 2019 Mar 1;109(3):635-647
pubmed: 30834441
Nutr Rev. 2017 Jun 1;75(6):405-419
pubmed: 28969358
Pharmacol Res Perspect. 2018 Jun;6(3):e00393
pubmed: 29864244
Nucleic Acids Res. 2009 May;37(8):2539-48
pubmed: 19264794
Int J Cancer. 2015 Mar 15;136(6):1402-10
pubmed: 25066446
Am J Clin Nutr. 2006 Feb;83(2):275-83
pubmed: 16469984
Am J Clin Nutr. 2007 Sep;86(3):s867-71
pubmed: 18265480
Oncotarget. 2016 Sep 13;7(37):60676-60686
pubmed: 27367031
Am J Clin Nutr. 2007 Sep;86(3):s836-42
pubmed: 18265477
Free Radic Biol Med. 2019 Sep;141:393-407
pubmed: 31279968
Eur J Epidemiol. 2018 May;33(5):485-495
pubmed: 29619669
Int J Epidemiol. 1989 Dec;18(4):858-67
pubmed: 2621022
Oncotarget. 2016 May 10;7(19):27307-12
pubmed: 27036024
J Womens Health. 1997 Feb;6(1):49-62
pubmed: 9065374
Int J Cancer. 2017 Jul 1;141(1):102-111
pubmed: 28390156
Menopause. 2012 May;19(5):582-7
pubmed: 22354267
JAMA Cardiol. 2017 Nov 1;2(11):1247-1255
pubmed: 29049454
J Natl Cancer Inst. 2002 Sep 4;94(17):1293-300
pubmed: 12208894
Carcinogenesis. 2016 Sep;37(9):897-903
pubmed: 27381830

Auteurs

Keming Yang (K)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.

Michele R Forman (MR)

Department of Nutrition Science, College of Health and Human Science, Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, USA.

Patrick O Monahan (PO)

Department of Biostatistics, School of Medicine and Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.

Brett H Graham (BH)

Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.

Andrew T Chan (AT)

Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Xuehong Zhang (X)

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

Immaculata De Vivo (I)

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

Edward L Giovannucci (EL)

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

Fred K Tabung (FK)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, USA.

Hongmei Nan (H)

Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Department of Global Health, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
IU Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA.

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