Common mitochondrial haplogroups as modifiers of the onset-age for critical COVID-19

Shaping current European mitochondrial haplogroup frequency in response to infection: the case of SARS-CoV-2 severity

The frequency of mitochondrial DNA haplogroups (mtDNA-HG) in humans is known to be shaped by migration and repopulation. Mounting evidence indicates that mtDNA-HG are not phenotypically neutral, and selection may contribute to its distribution. Haplogroup H, the most abundant in Europe, improved survival in sepsis. Here we developed a random forest trained model for mitochondrial haplogroup calling using data procured from GWAS arrays. Our results reveal that in the context of the SARS-CoV-2 pandemic, HV branch were found to represent protective factors against the development of critical SARS-CoV-2 in an analysis of 14,349 patients. These results highlight the role of mtDNA in the response to infectious diseases and support the proposal that its expansion and population proportion has been influenced by selection through successive pandemics.

Mitochondrial DNA variability and Covid-19 in the Slovak population

Recent studies have shown that mitochondria are involved in the pathogenesis of Covid-19. Mitochondria play a role in production of reactive oxygen species and induction of an innate immune response, both important during infections. Common variability of mitochondrial DNA (mtDNA) can affect oxidative phosphorylation and the risk or lethality of cardiovascular, neurodegenerative diseases and sepsis. However, it is unclear whether susceptibility of severe Covid-19 might be affected by mtDNA variation. Thus, we have analyzed mtDNA in a sample of 446 Slovak patients hospitalized due to Covid-19 and a control population group consisting of 1874 individuals. MtDNA variants in the HVRI region have been analyzed and classified into haplogroups at various phylogenetic levels. Binary logistic regression was used to assess the risk of Covid-19. Haplogroups T1, H11, K and variants 16256C > T, 16265A > C, 16293A > G, 16311 T > C and 16399A > G were associated with an increased Covid-19 risk. On contrary, Haplogroup J1, haplogroup clusters H + U5b and T2b + U5b, and the mtDNA variant 16189 T > C were associated with decreased risk of Covid-19. Following the application of the Bonferroni correction, statistical significance was observed exclusively for the cluster of haplogroups H + U5b. Unsurprisingly, the most significant factor contributing to the mortality of patients with Covid-19 is the age of patients. Our findings suggest that mtDNA haplogroups can play a role in Covid-19 pathogenesis, thus potentially useful in identifying susceptibility to its severe form. To confirm these associations, further studies taking into account the nuclear genome or other non-biological influences are needed.

Mitochondrial Heteroplasmy as a Marker for Premature Coronary Artery Disease: Analysis of the Poly-C Tract of the Control Region Sequence

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.

Scientific opportunities in resilience research for cardiovascular health and wellness. Report from a National Heart, Lung, and Blood Institute workshop

Exposure of biological systems to acute or chronic insults triggers a host of molecular and physiological responses to either tolerate, adapt, or fully restore homeostasis; these responses constitute the hallmarks of resilience. Given the many facets, dimensions, and discipline-specific focus, gaining a shared understanding of "resilience" has been identified as a priority for supporting advances in cardiovascular health. This report is based on the working definition: "Resilience is the ability of living systems to successfully maintain or return to homeostasis in response to physical, molecular, individual, social, societal, or environmental stressors or challenges," developed after considering many factors contributing to cardiovascular resilience through deliberations of multidisciplinary experts convened by the National Heart, Lung, and Blood Institute during a workshop entitled: "Enhancing Resilience for Cardiovascular Health and Wellness." Some of the main emerging themes that support the possibility of enhancing resilience for cardiovascular health include optimal energy management and substrate diversity, a robust immune system that safeguards tissue homeostasis, and social and community support. The report also highlights existing research challenges, along with immediate and long-term opportunities for resilience research. Certain immediate opportunities identified are based on leveraging existing high-dimensional data from longitudinal clinical studies to identify vascular resilience measures, create a 'resilience index,' and adopt a life-course approach. Long-term opportunities include developing quantitative cell/organ/system/community models to identify resilience factors and mechanisms at these various levels, designing experimental and clinical interventions that specifically assess resilience, adopting global sharing of resilience-related data, and cross-domain training of next-generation researchers in this field.