Influence of cell distribution and diabetes status on the association between mitochondrial DNA copy number and aging phenotypes in the InCHIANTI study

Summary Mitochondrial DNA copy number (mtDNA‐CN) estimated in whole blood is a novel marker of mitochondrial mass and function that can be used in large population‐based studies. Analyses that attempt to relate mtDNA‐CN to specific aging phenotypes may be confounded by differences in the distributio...

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Bibliographic Details
Published in:Aging cell 2018-02, Vol.17 (1), p.n/a
Main Authors: Moore, Ann Zenobia, Ding, Jun, Tuke, Marcus A., Wood, Andrew R., Bandinelli, Stefania, Frayling, Timothy M., Ferrucci, Luigi
Format: Article
Language:English
Subjects:
Aging
all‐cause mortality
Analysis
Blood
Blood cell count
Cell culture
cell distribution
Copy number
Cytokines
Deoxyribonucleic acid
Diabetes
Diabetes mellitus
DNA
Genetic aspects
Health aspects
Hemoglobin
Interleukin 6
mitochondria
Mitochondrial DNA
Mortality
Phenotype
Population studies
Short Take
Statistical analysis
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Summary:Summary Mitochondrial DNA copy number (mtDNA‐CN) estimated in whole blood is a novel marker of mitochondrial mass and function that can be used in large population‐based studies. Analyses that attempt to relate mtDNA‐CN to specific aging phenotypes may be confounded by differences in the distribution of blood cell types across samples. Also, low or high mtDNA‐CN may have a different meaning given the presence of diseases associated with mitochondrial damage. We evaluated the impact of blood cell type distribution and diabetes status on the association between mtDNA‐CN and aging phenotypes, namely chronologic age, interleukin‐6, hemoglobin, and all‐cause mortality, among 672 participants of the InCHIANTI study. After accounting for white blood cell count, platelet count, and white blood cell proportions in multivariate models, associations of mtDNA‐CN with age and interleukin‐6 were no longer statistically significant. Evaluation of a statistical interaction by diabetes status suggested heterogeneity of effects in the analysis of mortality (P 
ISSN:1474-9718
1474-9726
DOI:10.1111/acel.12683