Association of mitochondrial DNA copy number with metabolic syndrome and type 2 diabetes in 14 176 individuals.


Journal

Journal of internal medicine
ISSN: 1365-2796
Titre abrégé: J Intern Med
Pays: England
ID NLM: 8904841

Informations de publication

Date de publication:
07 2021
Historique:
revised: 24 11 2020
received: 18 10 2020
accepted: 14 12 2020
pubmed: 17 1 2021
medline: 7 10 2021
entrez: 16 1 2021
Statut: ppublish

Résumé

Mitochondria play an important role in cellular metabolism, and their dysfunction is postulated to be involved in metabolic disturbances. Mitochondrial DNA is present in multiple copies per cell. The quantification of mitochondrial DNA copy number (mtDNA-CN) might be used to assess mitochondrial dysfunction. We aimed to investigate the cross-sectional association of mtDNA-CN with type 2 diabetes and the potential mediating role of metabolic syndrome. We examined 4812 patients from the German Chronic Kidney Disease (GCKD) study and 9364 individuals from the Cooperative Health Research in South Tyrol (CHRIS) study. MtDNA-CN was measured in whole blood using a plasmid-normalized qPCR-based assay. In both studies, mtDNA-CN showed a significant correlation with most metabolic syndrome parameters: mtDNA-CN decreased with increasing number of metabolic syndrome components. Furthermore, individuals with low mtDNA-CN had significantly higher odds of metabolic syndrome (OR = 1.025; 95% CI = 1.011-1.039, P = 3.19 × 10 Our data show an inverse association of mtDNA-CN with higher risk of metabolic syndrome and type 2 diabetes. A major part of the total effect of mtDNA-CN on type 2 diabetes is mediated by obesity parameters.

Sections du résumé

BACKGROUND
Mitochondria play an important role in cellular metabolism, and their dysfunction is postulated to be involved in metabolic disturbances. Mitochondrial DNA is present in multiple copies per cell. The quantification of mitochondrial DNA copy number (mtDNA-CN) might be used to assess mitochondrial dysfunction.
OBJECTIVES
We aimed to investigate the cross-sectional association of mtDNA-CN with type 2 diabetes and the potential mediating role of metabolic syndrome.
METHODS
We examined 4812 patients from the German Chronic Kidney Disease (GCKD) study and 9364 individuals from the Cooperative Health Research in South Tyrol (CHRIS) study. MtDNA-CN was measured in whole blood using a plasmid-normalized qPCR-based assay.
RESULTS
In both studies, mtDNA-CN showed a significant correlation with most metabolic syndrome parameters: mtDNA-CN decreased with increasing number of metabolic syndrome components. Furthermore, individuals with low mtDNA-CN had significantly higher odds of metabolic syndrome (OR = 1.025; 95% CI = 1.011-1.039, P = 3.19 × 10
CONCLUSIONS
Our data show an inverse association of mtDNA-CN with higher risk of metabolic syndrome and type 2 diabetes. A major part of the total effect of mtDNA-CN on type 2 diabetes is mediated by obesity parameters.

Identifiants

pubmed: 33453124
doi: 10.1111/joim.13242
pmc: PMC8359248
doi:

Substances chimiques

DNA, Mitochondrial 0
Triglycerides 0

Types de publication

Journal Article Multicenter Study Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

190-202

Informations de copyright

© 2021 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.

Références

Nutr Res. 2013 Apr;33(4):311-21
pubmed: 23602249
J Atheroscler Thromb. 2011;18(10):867-73
pubmed: 21844659
Science. 2012 Aug 31;337(6098):1062-5
pubmed: 22936770
Kidney Int. 2019 Aug;96(2):480-488
pubmed: 31248648
PLoS One. 2016 Oct 13;11(10):e0163770
pubmed: 27736919
J Am Soc Nephrol. 2016 Aug;27(8):2467-73
pubmed: 26794963
J Mol Med (Berl). 2015 Feb;93(2):177-186
pubmed: 25471480
Circulation. 2011 Jul 26;124(4):444-53
pubmed: 21747057
Mitochondrion. 2013 Sep;13(5):481-92
pubmed: 23085537
Redox Biol. 2017 Apr;11:637-645
pubmed: 28131082
J Intern Med. 2020 May;287(5):569-579
pubmed: 32037598
J Transl Med. 2015 Nov 05;13:348
pubmed: 26541195
Cell. 2008 Jul 11;134(1):112-23
pubmed: 18614015
Circulation. 2005 Nov 15;112(20):3066-72
pubmed: 16275870
Pediatrics. 2012 Mar;129(3):557-70
pubmed: 22351884
Diabetologia. 2009 Sep;52(9):1953-61
pubmed: 19629432
Eur Heart J. 2016 Jul 01;37(25):1944-58
pubmed: 27122601
Diabetes Care. 2009 Jul;32(7):1327-34
pubmed: 19502545
Psychol Methods. 2013 Jun;18(2):137-50
pubmed: 23379553
Diabetes. 2013 Mar;62(3):672-8
pubmed: 23431006
Diabetes. 2002 Oct;51(10):2944-50
pubmed: 12351431
Am J Physiol Endocrinol Metab. 2019 Feb 1;316(2):E268-E285
pubmed: 30601700
Am J Hum Genet. 2016 Apr 7;98(4):653-66
pubmed: 27018471
J Intern Med. 2021 Jul;290(1):190-202
pubmed: 33453124
Obes Surg. 2010 Jan;20(1):84-92
pubmed: 19826890
Mitochondrion. 2018 Mar;39:9-19
pubmed: 28818596
Biochim Biophys Acta Mol Basis Dis. 2020 Oct 1;1866(10):165838
pubmed: 32428560
Biology (Basel). 2019 May 11;8(2):
pubmed: 31083560
Circulation. 2009 Oct 20;120(16):1640-5
pubmed: 19805654
Diabetes Res Clin Pract. 2009 Jan;83(1):94-9
pubmed: 19019479
Diabet Med. 2012 Jul;29(7):e47-54
pubmed: 22211946
Genet Mol Res. 2012 Sep 17;11(3):3339-48
pubmed: 23079827
J Clin Endocrinol Metab. 2018 Jan 1;103(1):148-157
pubmed: 29053810
Endocr Pract. 2003 May-Jun;9(3):237-52
pubmed: 12924350
Annu Rev Pharmacol Toxicol. 2018 Jan 6;58:353-389
pubmed: 28961065
Nat Rev Nephrol. 2018 May;14(5):291-312
pubmed: 29456246
Mol Biol (Mosk). 2014 Jul-Aug;48(4):677-81
pubmed: 25842851
Int J Endocrinol. 2014;2014:586017
pubmed: 24707289
Hum Genet. 2017 Jun;136(6):743-757
pubmed: 28374192
PLoS One. 2014 Dec 22;9(12):e115433
pubmed: 25532126
BMC Med Genomics. 2019 Mar 13;12(Suppl 2):40
pubmed: 30871547
Medicine (Baltimore). 2016 Apr;95(15):e3323
pubmed: 27082579
Eur Heart J. 2017 Dec 7;38(46):3443-3448
pubmed: 29020391
Biochim Biophys Acta. 2009 May;1787(5):547-52
pubmed: 19344660
Sci Rep. 2017 Mar 02;7:43203
pubmed: 28251996
J Mol Biol. 2018 Oct 19;430(21):3922-3941
pubmed: 30089235
Menopause. 2012 May;19(5):582-7
pubmed: 22354267
JAMA Cardiol. 2017 Nov 1;2(11):1247-1255
pubmed: 29049454
Diabetologia. 2007 Dec;50(12):2526-33
pubmed: 17879081
PLoS Genet. 2015 Sep 29;11(9):e1005549
pubmed: 26418551
Sci Rep. 2018 Oct 18;8(1):15347
pubmed: 30337569

Auteurs

F Fazzini (F)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

C Lamina (C)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

A Raftopoulou (A)

Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.

A Koller (A)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

C Fuchsberger (C)

Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.

C Pattaro (C)

Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.

F M Del Greco (FM)

Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.

P Döttelmayer (P)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

L Fendt (L)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

J Fritz (J)

Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria.
Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.

H Meiselbach (H)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

S Schönherr (S)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

L Forer (L)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

H Weissensteiner (H)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

P P Pramstaller (PP)

Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.

K-U Eckardt (KU)

Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany.

A A Hicks (AA)

Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.

F Kronenberg (F)

From the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH