A genetic risk score predicts recurrent events after myocardial infarction in young adults

Rincón, Luis Miguel; Sanmartı́n, Marcelo; Alonso, Gonzalo L.; Rodríguez, José Antonio; Muriel, Alfonso; Casas, Eduardo; Navarro, M; Carbonell, Alejandra; Lázaro, Carla; Fernández, Santiago Huerta; González, Pablo Barreira; Rodríguez, Macarena; Jiménez-Mena, Manuel; Fernández-Golfín, Covadonga; Esteban, Amparo Cano; García‐Bermejo, Maria Laura; Zamorano, José Luís

doi:10.1016/j.rec.2019.08.006

Cited by 8 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Genotyping was performed at the Institute for Human Genetics, University of California San Francisco, using custom-designed Affymetrix Axiom arrays as previously published [ 12 , 13 , 17 , 19 ]. The genome-wide arrays yielded high-quality genotypes, with an average genotype call rate of 99.7 % and SNP reproducibility of 99.9 % [18] .…”

Section: Methodsmentioning

confidence: 99%

Polygenic risk and incident coronary heart disease in a large multiethnic cohort

Iribarren,

Lu,

Elosua

et al. 2024

American Journal of Preventive Cardiology

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Polygenic risk and incident coronary heart disease in a large multiethnic cohort

Iribarren,

Lu,

Elosua

et al. 2024

American Journal of Preventive Cardiology

View full text Add to dashboard Cite

“…No explicit exclusion criteria were defined to avoid selection bias. A comprehensive study of clinical and imaging data, invasive angiography, and blood testing for established and novel biomarkers was performed 5 . Blood samples for determination of serum miRNAs were extracted within the first 24 h of hospital admission and stored at the local Biobank.…”

Section: Methodsmentioning

confidence: 99%

Serum microRNAs are key predictors of long‐term heart failure and cardiovascular death after myocardial infarction

et al. 2022

Self Cite

View full text Add to dashboard Cite

Background Patients with acute myocardial infarction (MI) are at high risk of upcoming events, in particular heart failure (HF), but reliable stratification methods are lacking. Our goal was to evaluate the potential role of circulating miRNAs as prognostic biomarkers in patients presenting with MI. Methods and results We conducted a prospective study among 311 consecutive patients hospitalized with MI (65% ST‐segment elevation MI & median age of 55 years) with long‐term follow‐up. An initial screening was conducted to select candidate miRNAs, with subsequent study of 14 candidate miRNAs. The primary outcome was the composite of hospital admission for HF or cardiovascular death. During a mean follow‐up of 2.1 years miR‐21‐5p, miR‐23a‐3p, miR27b‐3p, miR‐122‐5p, miR210‐3p, and miR‐221‐3p reliably predicted the primary outcome. Multivariate Cox regression analyses highlighted that miR‐210‐3p [hazard ratio (HR) 2.65 per 1 SD increase, P < 0.001], miR‐23a‐3p (HR 2.11 per 1 SD increase, P < 0.001), and miR‐221‐3p (HR 2.03 per 1 SD increase, P < 0.001) were able to accurately predict the primary outcome, as well as cardiovascular death, HF hospitalizations, and long‐term New York Heart Association (NYHA) functional class. These three miRNAs clearly improved the performance of multivariate clinical models: ΔC‐statistic = 0.10 [95% confidence interval (CI), 0.03–0.17], continuous net reclassification index = 34.8% (95%CI, 5.8–57.4%), and integrated discrimination improvement (P < 0.001). Conclusions This is the largest study evaluating the prognostic value of circulating miRNAs for HF‐related events among patients with MI. We show that several miRNAs predict HF hospitalizations, cardiovascular mortality, and poor long‐term NYHA status and improve current risk prediction methods.

show abstract

“…Numerous genetic studies have been conducted to establish the risk factors of atherosclerosis (Björnsson et al, 2019;Li et al, 2019bRincoń et al, 2019. For example, four new SNPs have recently been found recently to be specifically associated with abdominal aortic aneurysm (Marsman et al, 2019).…”

Section: Variants Of the Nuclear Genome Associated With Atherosclerosismentioning

confidence: 99%

“…Numerous genetic studies were conducted to establish risk factors for the development of atherosclerosis (Björnsson et al, 2019;Li et al, 2019;Rincoń et al, 2019). Researchers are constantly discovering new mutations specifically associated with cardiovascular disease.…”

Section: Introductionmentioning

confidence: 99%

Cellular Mechanisms of Human Atherogenesis: Focus on Chronification of Inflammation and Mitochondrial Mutations

et al. 2020

View full text Add to dashboard Cite

Atherosclerosis is one of the most common diseases of the cardiovascular system that leads to the development of life-threatening conditions, such as heart attack and stroke. Arthrosclerosis affects various arteries in the human body, but is especially dangerous in the arteries alimenting heart and brain, aorta, and arteries of the lower limbs. By its pathophysiology, atherosclerosis is an inflammatory disease. During the pathological process, lesions of arterial intima in the form of focal thickening are observed, which form atherosclerotic plaques as the disease progresses further. Given the significance of atherosclerosis for the global health, the search for novel effective therapies is highly prioritized. However, despite the constant progress, our understanding of the mechanisms of atherogenesis is still incomplete. One of the remaining puzzles in atherosclerosis development is the focal distribution of atherosclerotic lesions in the arterial wall. It implies the existence of certain mosaicism within the tissue, with some areas more susceptible to disease development than others, which may prove to be important for novel therapy development. There are many hypotheses explaining this phenomenon, for example, the influence of viruses, and the spread in the endothelium of the vessel multinucleated giant endothelial cells. We suggest the local variations of the mitochondrial genome as a possible explanation of this mosaicism. In this review, we discuss the role of genetic variations in the nuclear and mitochondrial genomes that influence the development of atherosclerosis. Changes in the mitochondrial and nuclear genome have been identified as independent factors for the development of the disease, as well as potential diagnostic markers.

show abstract

A genetic risk score predicts recurrent events after myocardial infarction in young adults

Cited by 8 publications

References 27 publications

Polygenic risk and incident coronary heart disease in a large multiethnic cohort

Polygenic risk and incident coronary heart disease in a large multiethnic cohort

Serum microRNAs are key predictors of long‐term heart failure and cardiovascular death after myocardial infarction

Cellular Mechanisms of Human Atherogenesis: Focus on Chronification of Inflammation and Mitochondrial Mutations

Contact Info

Product

Resources

About