Mitochondrial Heteroplasmy as a Marker for Premature Coronary Artery Disease: Analysis of the Poly-C Tract of the Control Region Sequence.
Rebeca LorcaAndrea AparicioJuan Gómez de OñaRut Alvarez-VelascoIsaac PascualPablo AvanzasFrancisco González-UrbistondoAlberto AlenDaniel Vázquez-CotoMar González-FernándezClaudia García-LagoElías Cuesta-LlavonaCésar MorísEliecer CotoPublished in: Journal of clinical medicine (2023)
Mitochondrial DNA (mtDNA) differs from the nuclear genome in many aspects: a maternal inheritance pattern; being more prone to acquire somatic de novo mutations, accumulative with age; and the possible coexistence of different mtDNA alleles (heteroplasmy). Mitochondria are key cellular organelles responsible for energy production and involved in complex mechanisms, including atherosclerosis. In this scenario, we aimed to evaluate mtDNA variants that could be associated with premature cardiovascular disease. We evaluated 188 consecutive patients presenting with premature myocardial infarction with ST elevation (STEMI) confirmed by coronary angiogram. mtDNA polymorphisms and clinical data were evaluated and compared with 271 individuals from the same population (control group). Tobacco consumption (80.85% vs. 21.21%, p < 0.01) and dyslipidemia (38.83% vs. 28.41%, p = 0.02) were significantly more frequent among STEMI patients. Moreover, C16223T mtDNA mutation and poly-C heteroplasmy were significantly more frequent among premature STEMI male patients than in controls. The OR associated C16223T mtDNA with the increased presence of cardiovascular risk factors. Our data suggest that mtDNA 16223T and heteroplasmy may be associated with unstable premature atherosclerosis disease in men. Moreover, the presence of cardiovascular risk factors (CVRFs) was associated with C16223T mtDNA, with a cumulative effect. Protective mitochondrial pathways are potential therapeutic targets. Preventing exposure to the damaging mechanisms associated with CVRFs is of utmost importance.
Keyphrases
- mitochondrial dna
- copy number
- cardiovascular risk factors
- cardiovascular disease
- coronary artery disease
- end stage renal disease
- genome wide
- percutaneous coronary intervention
- chronic kidney disease
- dna methylation
- ejection fraction
- type diabetes
- newly diagnosed
- prognostic factors
- electronic health record
- heart failure
- st segment elevation myocardial infarction
- gene expression
- metabolic syndrome
- machine learning
- st elevation myocardial infarction
- oxidative stress
- physical activity
- middle aged
- amino acid
- aortic valve
- artificial intelligence
- transcatheter aortic valve replacement