scholarly journals Association between mitochondrial DNA copy number and cardiovascular disease: Current evidence based on a systematic review and meta-analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206003 ◽  
Author(s):  
Peng Yue ◽  
Siyuan Jing ◽  
Lei Liu ◽  
Fan Ma ◽  
Yi Zhang ◽  
...  
2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Christina A. Castellani ◽  
Ryan J. Longchamps ◽  
Jason A. Sumpter ◽  
Charles E. Newcomb ◽  
John A. Lane ◽  
...  

Abstract Background Mitochondrial DNA copy number (mtDNA-CN) has been associated with a variety of aging-related diseases, including all-cause mortality. However, the mechanism by which mtDNA-CN influences disease is not currently understood. One such mechanism may be through regulation of nuclear gene expression via the modification of nuclear DNA (nDNA) methylation. Methods To investigate this hypothesis, we assessed the relationship between mtDNA-CN and nDNA methylation in 2507 African American (AA) and European American (EA) participants from the Atherosclerosis Risk in Communities (ARIC) study. To validate our findings, we assayed an additional 2528 participants from the Cardiovascular Health Study (CHS) (N = 533) and Framingham Heart Study (FHS) (N = 1995). We further assessed the effect of experimental modification of mtDNA-CN through knockout of TFAM, a regulator of mtDNA replication, via CRISPR-Cas9. Results Thirty-four independent CpGs were associated with mtDNA-CN at genome-wide significance (P < 5 × 10− 8). Meta-analysis across all cohorts identified six mtDNA-CN-associated CpGs at genome-wide significance (P < 5 × 10− 8). Additionally, over half of these CpGs were associated with phenotypes known to be associated with mtDNA-CN, including coronary heart disease, cardiovascular disease, and mortality. Experimental modification of mtDNA-CN demonstrated that modulation of mtDNA-CN results in changes in nDNA methylation and gene expression of specific CpGs and nearby transcripts. Strikingly, the “neuroactive ligand receptor interaction” KEGG pathway was found to be highly overrepresented in the ARIC cohort (P = 5.24 × 10− 12), as well as the TFAM knockout methylation (P = 4.41 × 10− 4) and expression (P = 4.30 × 10− 4) studies. Conclusions These results demonstrate that changes in mtDNA-CN influence nDNA methylation at specific loci and result in differential expression of specific genes that may impact human health and disease via altered cell signaling.


2021 ◽  
Vol 35 (7) ◽  
Author(s):  
Laura Bordoni ◽  
Irene Petracci ◽  
Iwona Pelikant‐Malecka ◽  
Adriana Radulska ◽  
Marco Piangerelli ◽  
...  

2021 ◽  
Author(s):  
Laura Bordoni ◽  
Irene Petracci ◽  
Iwona Pelikant-Malecka ◽  
Adriana Radulska ◽  
Marco Piangerelli ◽  
...  

ABSTRACTAmong cardiovascular disease (CVD) biomarkers, the mitochondrial DNA copy number (mtDNAcn) is a promising candidate. A growing attention has been also dedicated to trimethylamine-N-oxide (TMAO), an oxidative derivative of the gut metabolite trimethylamine (TMA). With the aim to identify biomarkers predictive of CVD, we investigated TMA, TMAO and mtDNAcn in a population of 389 coronary artery disease (CAD) patients and 151 healthy controls, in association with established risk factors for CVD (gender, age, hypertension, smoking, diabetes, glomerular filtration rate (GFR)). MtDNAcn was significantly lower in CAD patients and in hypertensive subjects; it correlates with GFR and TMA, but not with TMAO. A biomarker including mtDNAcn, gender, and hypertension (but neither TMA nor TMAO) emerged as a good predictor of CAD. Our findings support the usage of mtDNAcn as a plastic biomarker to monitor the exposure to risk factors and the efficacy of preventive interventions for a personalized CAD risk reduction.Highlights-mtDNAcn measured in whole blood is associated to the cardiovascular health status in humans;-mtDNAcn is reduced in CAD and hypertension, and inversely correlates with GFR;-mtDNA, gender and hypertension together represent a good predictive biomarker for CAD;-TMA metabolism is different in healthy and CAD subjects;-TMA and TMAO are not good predictors of CAD.


2018 ◽  
Author(s):  
Anna L. Guyatt ◽  
Rebecca R. Brennan ◽  
Kimberley Burrows ◽  
Philip A. I. Guthrie ◽  
Raimondo Ascione ◽  
...  

AbstractMitochondrial DNA copy number (mtDNA CN) exhibits interindividual and intercellular variation, but few genome-wide association studies (GWAS) of directly assayed mtDNA CN exist.We undertook a GWAS of qPCR-assayed mtDNA CN in the Avon Longitudinal Study of Parents and Children (ALSPAC), and the UK Blood Service (UKBS) cohort. After validating and harmonising data, 5461 ALSPAC mothers (16-43 years at mtDNA CN assay), and 1338 UKBS females (17-69 years) were included in a meta-analysis. Sensitivity analyses restricted to females with white cell-extracted DNA, and adjusted for estimated or assayed cell proportions. Associations were also explored in ALSPAC children, and UKBS males.A neutrophil-associated locus approached genome-wide significance (rs709591 [MED24], β[SE] −0.084 [0.016], p=1.54e-07) in the main meta-analysis of adult females. This association was concordant in magnitude and direction in UKBS males and ALSPAC neonates. SNPs in and around ABHD8 were associated with mtDNA CN in ALSPAC neonates (rs10424198, β[SE] 0.262 [0.034], p=1.40e-14), but not other study groups. In a meta-analysis of unrelated individuals (N=11253), we replicated a published association in TFAM β[SE] 0.046 [0.017], p=0.006), with an effect size much smaller than that observed in the replication analysis of a previous in silico GWAS.In a hypothesis-generating GWAS, we confirm an association between TFAM and mtDNA CN, and present putative loci requiring replication in much larger samples. We discuss the limitations of our work, in terms of measurement error and cellular heterogeneity, and highlight the need for larger studies to better understand nuclear genomic control of mtDNA copy number.


2017 ◽  
Vol 2 (11) ◽  
pp. 1247 ◽  
Author(s):  
Foram N. Ashar ◽  
Yiyi Zhang ◽  
Ryan J. Longchamps ◽  
John Lane ◽  
Anna Moes ◽  
...  

2018 ◽  
Vol 269 ◽  
pp. 115-117 ◽  
Author(s):  
Naruhisa Yamaki ◽  
Ikuo Otsuka ◽  
Shusuke Numata ◽  
Masaya Yanagi ◽  
Kentaro Mouri ◽  
...  

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Jia Mi ◽  
Geng Tian ◽  
Shuang Liu ◽  
Xianglin Li ◽  
Tianhui Ni ◽  
...  

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