Subclinical atherosclerosis and accelerated epigenetic age mediated by inflammation: a multi-omics study.

AIMS: Epigenetic age is emerging as a personalized and accurate predictor of biological age. The aim of this article is to assess the association of subclinical atherosclerosis with accelerated epigenetic age and to investigate the underlying mechanisms mediating this association. METHODS AND RESULTS: Whole blood methylomics, transcriptomics, and plasma proteomics were obtained for 391 participants of the Progression of Early Subclinical Atherosclerosis study. Epigenetic age was calculated from methylomics data for each participant. Its divergence from chronological age is termed epigenetic age acceleration. Subclinical atherosclerosis burden was estimated by multi-territory 2D/3D vascular ultrasound and by coronary artery calcification. In healthy individuals, the presence, extension, and progression of subclinical atherosclerosis were associated with a significant acceleration of the Grim epigenetic age, a predictor of health and lifespan, regardless of traditional cardiovascular risk factors. Individuals with an accelerated Grim epigenetic age were characterized by an increased systemic inflammation and associated with a score of low-grade, chronic inflammation. Mediation analysis using transcriptomics and proteomics data revealed key pro-inflammatory pathways (IL6, Inflammasome, and IL10) and genes (IL1B, OSM, TLR5, and CD14) mediating the association between subclinical atherosclerosis and epigenetic age acceleration. CONCLUSION: The presence, extension, and progression of subclinical atherosclerosis in middle-aged asymptomatic individuals are associated with an acceleration in the Grim epigenetic age. Mediation analysis using transcriptomics and proteomics data suggests a key role of systemic inflammation in this association, reinforcing the relevance of interventions on inflammation to prevent cardiovascular disease.

Effects of a comprehensive lifestyle intervention on cardiovascular health: the TANSNIP-PESA trial.

AIMS: To investigate the effectiveness of a 3-year worksite lifestyle intervention on cardiovascular metrics and to study whether outcomes are influenced by baseline subclinical atherosclerosis (SA) by non-invasive imaging. METHODS AND RESULTS: A randomized controlled trial was performed to compare a lifestyle intervention with standard of care in asymptomatic middle-aged subjects, stratified by SA. The intervention consisted of nine motivational interviews during the first year, followed by three further sessions between Years 1 and 3. The primary outcome was the change in a pre-specified adaptation of the Fuster-BEWAT score (Blood pressure, Exercise, Weight, Alimentation, and Tobacco) between baseline and follow-up Years 1-3. A total of 1020 participants (mean age 50 ± 4 years) were enrolled, of whom 510 were randomly assigned to the intervention and 510 to the control group. The baseline adapted Fuster-BEWAT score was 16.2 ± 3.7 points in the intervention group and 16.5 ± 3.5 points in the control group. At Year 1, the score improved significantly in intervention participants compared with controls [estimate 0.83 (95% CI 0.52-1.15) points]. However, intervention effectiveness decreased to non-significant levels at Year 3 [0.24 (95% CI -0.10 to 0.59) points]. Over the 3-year period, the intervention was effective in participants having low baseline SA [0.61 (95% CI 0.30-0.93) points] but not in those with high baseline SA [0.19 (95% CI -0.26 to 0.64) points]. CONCLUSION: In middle-aged asymptomatic adults, a lifestyle intervention was associated with a significant improvement in cardiovascular health and behavioural metrics. The effect attenuated after 1 year as the intensity of the intervention was reduced. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02561065).

Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis.

BACKGROUND: Imaging of subclinical atherosclerosis improves cardiovascular risk prediction on top of traditional risk factors. However, cardiovascular imaging is not universally available. This work aims to identify circulating proteins that could predict subclinical atherosclerosis. METHODS: Hypothesis-free proteomics was used to analyze plasma from 444 subjects from PESA cohort study (222 with extensive atherosclerosis on imaging, and 222 matched controls) at two timepoints (three years apart) for discovery, and from 350 subjects from AWHS cohort study (175 subjects with extensive atherosclerosis on imaging and 175 matched controls) for external validation. A selected three-protein panel was further validated by immunoturbidimetry in the AWHS population and in 2999 subjects from ILERVAS cohort study. FINDINGS: PIGR, IGHA2, APOA, HPT and HEP2 were associated with subclinical atherosclerosis independently from traditional risk factors at both timepoints in the discovery and validation cohorts. Multivariate analysis rendered a potential three-protein biomarker panel, including IGHA2, APOA and HPT. Immunoturbidimetry confirmed the independent associations of these three proteins with subclinical atherosclerosis in AWHS and ILERVAS. A machine-learning model with these three proteins was able to predict subclinical atherosclerosis in ILERVAS (AUC [95%CI]:0.73 [0.70-0.74], p < 1 × 10-99), and also in the subpopulation of individuals with low cardiovascular risk according to FHS 10-year score (0.71 [0.69-0.73], p < 1 × 10-69). INTERPRETATION: Plasma levels of IGHA2, APOA and HPT are associated with subclinical atherosclerosis independently of traditional risk factors and offers potential to predict this disease. The panel could improve primary prevention strategies in areas where imaging is not available. FUNDING: This study was supported by competitive grants from the Spanish Ministry of Science, Innovation and Universities (BIO2015-67580-P, PGC2018-097019-B-I00, PID2019-106814RB-I00 and SAF2016-80843-R), through the Carlos III Institute of Health-Fondo de Investigacion Sanitaria grant PRB3 (IPT17/0019 - ISCIII-SGEFI / ERDF, ProteoRed), CIBERCV and CIBERDEM, the Fundacio MaratoTV3 (grant 122/C/2015) and "la Caixa" Banking Foundation (project HR17-00247). The PESA study is co-funded equally by the Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain, and Banco Santander, Madrid, Spain. The ILERVAS study was funded by the Diputacio de Lleida. The study also receives funding from the Instituto de Salud Carlos III (PI15/02019; PI18/00610; RD16/0009) and the FEDER funds. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia, Innovacion y Universidades (MCNU) and the Pro CNIC Foundation.

Association Between Body Size Phenotypes and Subclinical Atherosclerosis.

CONTEXT: The underlying relationship between body mass index (BMI), cardiometabolic disorders, and subclinical atherosclerosis is poorly understood. OBJECTIVE: To evaluate the association between body size phenotypes and subclinical atherosclerosis. DESIGN: Cross-sectional. SETTING: Cardiovascular disease-free cohort. PARTICIPANTS: Middle-aged asymptomatic subjects (n = 3909). A total of 6 cardiometabolic body size phenotypes were defined based on the presence of at least 1 cardiometabolic abnormality (blood pressure, fasting blood glucose, triglycerides, low high-density lipoprotein cholesterol, homeostasis model assessment-insulin resistance index, high-sensitivity C-reactive protein) and based on BMI: normal-weight (NW; BMI <25), overweight (OW; BMI = 25.0-29.9) or obese (OB; BMI >30.0). MAIN OUTCOME MEASURES: Subclinical atherosclerosis was evaluated by 2D vascular ultrasonography and noncontrast cardiac computed tomography. RESULTS: For metabolically healthy subjects, the presence of subclinical atherosclerosis increased across BMI categories (49.6%, 58.0%, and 67.7% for NW, OW, and OB, respectively), whereas fewer differences were observed for metabolically unhealthy subjects (61.1%, 69.7%, and 70.5%, respectively). When BMI and cardiometabolic abnormalities were assessed separately, the association of body size phenotypes with the extent of subclinical atherosclerosis was mostly driven by the coexistence of cardiometabolic risk factors: adjusted OR = 1.04 (95% confidence interval [CI], 0.90-1.19) for OW and OR = 1.07 (95% CI, 0.88-1.30) for OB in comparison with NW, whereas there was an increasing association between the extent of subclinical atherosclerosis and the number of cardiometabolic abnormalities: adjusted OR = 1.21 (95% CI, 1.05-1.40), 1.60 (95% CI, 1.33-1.93), 1.92 (95% CI, 1.48-2.50), and 2.27 (95% CI, 1.67-3.09) for 1, 2, 3, and >3, respectively, in comparison with noncardiometabolic abnormalities. CONCLUSIONS: The prevalence of subclinical atherosclerosis varies across body size phenotypes. Pharmacologic and lifestyle interventions might modify their cardiovascular risk by facilitating the transition from one phenotype to another.

Short-Term Progression of Multiterritorial Subclinical Atherosclerosis.

BACKGROUND: Atherosclerosis progression predicts cardiovascular events; however, progression of multiterritorial subclinical atherosclerosis is incompletely understood. OBJECTIVES: This study sought to study short-term progression of atherosclerosis using different noninvasive imaging techniques and their relationship with cardiovascular risk. METHODS: The study included 3,514 PESA (Progression of Early Subclinical Atherosclerosis) study participants (45.7 ± 4.2 years of age; 63% men). Participants underwent 2-dimensional vascular ultrasound (2DVUS) of abdominal aorta, carotid, iliac, and femoral territories to determine a plaque number score; 3DVUS to quantify carotid and femoral plaque volume; and coronary artery calcium score (CACS) at baseline and 2.8 years later. The authors calculated the rate of new disease incidence and changes in disease extent. Logistic regression models were used to evaluate associations of progression rates with baseline cardiovascular risk factors and estimated 10-year risk. RESULTS: Imaging detected short-term (3-year) atherosclerosis progression in 41.5% of participants (26.4% by 2DVUS, 21.3% by 3DVUS, and 11.5% by CACS), particularly in peripheral territories examined by vascular ultrasound. New atherosclerosis onset accounted for approximately one-third of total progression, also more frequently by 2DVUS and 3DVUS (29.1% and 16.6%, respectively), than by CACS (2.9%). Participants with baseline disease by all 3 modalities (n = 432) also showed significant atherosclerosis progression (median: 1 plaque [interquartile range (IQR): -1 to 3 plaques] by 2DVUS; 7.6 mm3 [IQR: -32.2 to 57.6 mm3] by 3DVUS; and 21.6 Agatston units [IQR: 4.8 to 62.6 Agatston units] by CACS). Age, sex, dyslipidemia, hypertension, smoking, and family history of premature cardiovascular disease contributed to progression, with dyslipidemia the strongest modifiable risk factor. Although disease progression correlated with cardiovascular risk, progression was detected in 36.5% of participants categorized as low risk. CONCLUSIONS: With this multimodal and multiterritorial approach, the authors detected short-term progression of early subclinical atherosclerosis in a substantial proportion (41.5%) of apparently healthy middle-aged men and women, more frequently by peripheral 2D/3DVUS than by CACS. Disease progression, as defined in this study, correlated with almost all cardiovascular risk factors and estimated risk. (Progression of Early Subclinical Atherosclerosis [PESA]; NCT01410318).

Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals.

BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using imaging techniques in individuals with intermediate atherosclerotic cardiovascular risk according to standard risk prediction tools. OBJECTIVES: The purpose of this study was to develop a machine-learning model based on routine, quantitative, and easily measured variables to predict the presence and extent of subclinical atherosclerosis (SA) in young, asymptomatic individuals. The risk of having SA estimated by this model could be used to refine risk estimation and optimize the use of imaging for risk assessment. METHODS: The Elastic Net (EN) model was built to predict SA extent, defined by a combined metric of the coronary artery calcification score and 2-dimensional vascular ultrasound. The performance of the model for the prediction of SA extension and progression was compared with traditional risk scores of cardiovascular disease (CVD). An external independent cohort was used for validation. RESULTS: EN-PESA (Progression of Early Subclinical Atherosclerosis) yielded a c-statistic of 0.88 for the prediction of generalized subclinical atherosclerosis. Moreover, EN-PESA was found to be a predictor of 3-year progression independent of the baseline extension of SA. EN-PESA assigned an intermediate to high cardiovascular risk to 40.1% (n = 1,411) of the PESA individuals, a significantly larger number than atherosclerotic CVD (n = 267) and SCORE (Systematic Coronary Risk Evaluation) (n = 507) risk scores. In total, 86.8% of the individuals with an increased risk based on EN-PESA presented signs of SA at baseline or a significant progression of SA over 3 years. CONCLUSIONS: The EN-PESA model uses age, systolic blood pressure, and 10 commonly used blood/urine tests and dietary intake values to identify young, asymptomatic individuals with an increased risk of CVD based on their extension and progression of SA. These individuals are likely to benefit from imaging tests or pharmacological treatment. (Progression of Early Subclinical Atherosclerosis [PESA]; NCT01410318).

Does Socioeconomic Status Influence the Risk of Subclinical Atherosclerosis?: A Mediation Model.

BACKGROUND: Socioeconomic status (SES)-education, income level, and occupation-is associated with cardiovascular risk. OBJECTIVES: This study aimed to investigate the association between SES and subclinical atherosclerosis and the potential mechanisms involved. METHODS: SES, lifestyle habits (smoking, dietary patterns, physical activity, and hours of sleep), traditional risk factors, and subclinical atherosclerosis extent were prospectively assessed in 4,025 individuals aged 40 to 54 years without known cardiovascular disease enrolled in the PESA (Progression of Early Subclinical Atherosclerosis) study. After factors associated with atherosclerosis were identified, a multiple mediation model was created to quantify the effect of SES on subclinical atherosclerosis as explained by lifestyle behaviors. RESULTS: Although education level was significantly associated with the presence of atherosclerosis, no differences were found according to income level in this population. Participants with lower education presented with a higher risk of generalized atherosclerosis than those with higher education (odds ratio: 1.46; 95% confidence interval: 1.15 to 1.85; p = 0.002). Lifestyle behaviors associated with both education level and atherosclerosis extent were: smoking status, number of cigarettes/day, and dietary pattern, which explained 70.5% of the effect of SES on atherosclerosis. Of these, tobacco habit (smoking status 35% and number of cigarettes/day 32%) accounted for most of the explained differences between groups, whereas dietary pattern did not remain a significant mediator in the multiple mediation model. CONCLUSIONS: Despite the relative economic homogeneity of the cohort, lower education level is associated with increased subclinical atherosclerosis, mainly mediated by the higher and more frequent tobacco consumption. Smoking cessation programs are still needed, particularly in populations with lower education level.

Subclinical Atherosclerosis Burden by 3D Ultrasound in Mid-Life: The PESA Study.

BACKGROUND: Detection of subclinical atherosclerosis improves risk prediction beyond cardiovascular risk factors (CVRFs) and risk scores, but quantification of plaque burden may improve it further. Novel 3-dimensional vascular ultrasound (3DVUS) provides accurate volumetric quantification of plaque burden. OBJECTIVES: The authors evaluated associations between 3DVUS-based plaque burden and CVRFs and explored potential added value over simple plaque detection. METHODS: The authors included 3,860 (92.2%) PESA (Progression of Early Subclinical Atherosclerosis) study participants (age 45.8 ± 4.3 years; 63% men). Bilateral carotid and femoral territories were explored by 3DVUS to determine the number of plaques and territories affected, and to quantify global plaque burden defined as the sum of all plaque volumes. Linear regression and proportional odds models were used to evaluate associations of plaque burden with CVRFs and estimated 10-year cardiovascular risk. RESULTS: Plaque burden was higher in men (63.4 mm3 [interquartile range (IQR): 23.8 to 144.8 mm3] vs. 25.7 mm3 [IQR: 11.5 to 61.6 mm3] in women; p < 0.001), in the femoral territory (64 mm3 [IQR: 27.6 to 140.5 mm3] vs. 23.1 mm3 [IQR: 9.9 to 48.7 mm3] in the carotid territory; p < 0.001), and with increasing age (p < 0.001). Age, sex, smoking, and dyslipidemia were more strongly associated with femoral than with carotid disease burden, whereas hypertension and diabetes showed no territorial differences. Plaque burden was directly associated with estimated cardiovascular risk independently of the number of plaques or territories affected (p < 0.01). CONCLUSIONS: 3DVUS quantifies higher plaque burden in men, in the femoral territory, and with increasing age during midlife. Plaque burden correlates strongly with CVRFs, especially at the femoral level, and reflects estimated cardiovascular risk more closely than plaque detection alone. (Progression of Early Subclinical Atherosclerosis [PESA] Study; NCT01410318).