Evidence map›Paper›PMID 33453124›Full record

Observational studyJournal of internal medicine2021

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

F Fazzini, C Lamina, A Raftopoulou, A Koller, C Fuchsberger, C Pattaro, F M Del Greco, P Döttelmayer, L Fendt, J Fritz and 9 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 100 citations in OpenAlex.

  1. Myokines and mitochondrial function in cardiometabolic diseases.Journal of physiology and biochemistry · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 5 countries.

F FazziniFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
C LaminaFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
A RaftopoulouEurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
A KollerFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
C FuchsbergerEurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
C PattaroEurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
F M Del GrecoEurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
P DöttelmayerFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
L FendtFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
J FritzDepartment of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria.
H MeiselbachDepartment of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
S SchönherrFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
L ForerFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
H WeissensteinerFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
P P PramstallerEurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
K-U EckardtDepartment of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
A A HicksEurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
F KronenbergFrom the, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2229-1120
GCKD Investigators
Innsbruck Medical University · ATEurac Research · ITFriedrich-Alexander-Universität Erlangen-Nürnberg · DETiGenix (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondria 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.

objectivesWe aimed to investigate the cross-sectional association of mtDNA-CN with type 2 diabetes and the potential mediating role of metabolic syndrome.

methodsWe 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.

resultsIn 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

conclusionsOur 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.

Indexed as

DNA Copy Number VariationsAgedBody Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 2DNA, MitochondrialFemaleHumansMaleMetabolic SyndromeMiddle AgedProspective StudiesTriglyceridesWaist CircumferenceDNA, MitochondrialTriglycerideschronic kidney diseasediabetesmetabolic syndromemitochondrial DNA copy number

Identifiers

PMID33453124
PMCPMC8359248
OpenAlexW3124833262

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.