Beginning With the End in Mind: The Case for Primordial and Primary Cardiovascular Prevention in Youth

Differences in vasomotor function of mesenteric arteries between Ossabaw minipigs with predisposition to metabolic syndrome and Göttingen minipigs

Metabolic syndrome predisposes and contributes to the development and progression of atherosclerosis. The minipig strain "Ossabaw" is characterized by a predisposition to develop metabolic syndrome. We compared vasomotor function in Ossabaw minipigs before they developed their diseased phenotype to that of Göttingen minipigs without such genetic predisposition. Mesenteric arteries of adult Ossabaw and Göttingen minipigs were dissected postmortem and mounted on a myograph for isometric force measurements. Maximal vasoconstriction to potassium chloride (KClmax) was induced. Cumulative concentration-response curves were determined in response to norepinephrine. Endothelium-dependent (with carbachol) and endothelium-independent (with nitroprusside) vasodilation were analyzed after preconstriction by norepinephrine. In a bioinformatic analysis, variants/altered base pairs within genes associated with cardiovascular disease were analyzed. KClmax was similar between the minipig strains (15.6 ± 6.7 vs. 14.1 ± 3.4 ΔmN). Vasoconstriction in response to norepinephrine was more pronounced in Ossabaw than in Göttingen minipigs (increase of force to 143 ± 48 vs. 108 ± 38% of KClmax). Endothelium-dependent and endothelium-independent vasodilation were less pronounced in Ossabaw than in Göttingen minipigs (decrease of force to 46.4 ± 29.6 vs. 16.0 ± 18.4% and to 36.7 ± 25.2 vs. 2.3 ± 3.7% of norepinephrine-induced preconstriction). Vasomotor function was not different between the sexes. More altered base pairs/variants were identified in Ossabaw than in Göttingen minipigs for the exon encoding adrenoceptor-α1A. Vasomotor function in lean Ossabaw minipigs is shifted toward vasoconstriction and away from vasodilation in comparison with Göttingen minipigs, suggesting a genetic predisposition for vascular dysfunction and atherosclerosis in Ossabaw minipigs. Thus, Ossabaw minipigs may be a better model for human cardiovascular disease than Göttingen minipigs.NEW & NOTEWORTHY Animal models with a predisposition to metabolic syndrome and atherosclerosis are attracting growing interest for translational research, as they may better mimic the variability of patients with cardiovascular disease. In Ossabaw minipigs, with a polygenic predisposition to metabolic syndrome, but without the diseased phenotype, vasoconstriction is more and vasodilation is less pronounced in mesenteric arteries than in Göttingen minipigs. Ossabaw minipigs may be a more suitable model of human cardiovascular disease.

Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data

Electrocardiogram (ECG) is a common diagnostic indicator of heart disease in hospitals. Because of the low price and noninvasiveness of ECG diagnosis, it is widely used for prescreening and physical examination of heart diseases. In several studies on ECG analysis, only rough diagnoses are made to determine whether ECGs are abnormal or on a few kinds of ECG. In actual scenarios, doctors must analyze ECG samples in detail, which is a multilabel classification problem. Herein, we propose Hygeia, a multilabel deep learning-based ECG classification method that can analyze and classify 55 types of ECG. First, a guidance model is constructed to transform the multilabel classification problem into multiple interrelated two-classification models. This method ensures the good performance of each ECG analysis model, and the relationship between various types of ECG can be used in the analysis. The imbalance of samples in ECG datasets makes it difficult to analyze abnormal ECGs with high sensitivity and accuracy. We used data generation and mixed sampling methods for 11 ECG types with imbalanced problems to improve the average accuracy, sensitivity, F1 value, and accuracy from 87.74%, 43.11%, 0.3929, and 0.3929, to 92.68%, 96.92, 0.9287, and 99.47%, respectively. The average accuracy, sensitivity, F1 value, and accuracy of 44 of the 55 tags of the abnormal ECG analysis model are 99.69%, 95.81%, 0.9758, and 99.72%, respectively.

Prevention of atherosclerosis from childhood

Cardiovascular diseases caused by atherosclerosis do not typically manifest before middle age; however, the disease process begins early in life. Preclinical atherosclerosis can be quantified with imaging methods in healthy populations long before clinical manifestations present. Cohort studies have shown that childhood exposure to risk factors, such as dyslipidaemia, elevated blood pressure and tobacco smoking, are associated with adult preclinical atherosclerotic phenotypes. Importantly, these long-term effects are substantially reduced if the individual becomes free from the risk factor by adulthood. As participants in the cohorts continue to age and clinical end points accrue, the strongest evidence linking exposure to risk factors in early life with cardiovascular outcomes has begun to emerge. Although science has deciphered the natural course of atherosclerosis, discovered its causal risk factors and developed effective means to intervene, we are still faced with an ongoing global pandemic of atherosclerotic diseases. In general, atherosclerosis goes undetected for too long, and preventive measures, if initiated at all, are inadequate and/or come too late. In this Review, we give an overview of the available literature suggesting the importance of initiating the prevention of atherosclerosis in early life and provide a summary of the major paediatric programmes for the prevention of atherosclerotic disease. We also highlight the limitations of current knowledge and indicate areas for future research.

Life-Course Implications of Pediatric Risk Factors for Cardiovascular Disease

The concept that origins of cardiovascular disease (CVD) begin in childhood is supported by substantial evidence. Prospective studies beginning in childhood report associations of childhood obesity, abnormal blood pressure (BP), dyslipidemia, diabetes, and tobacco use with intermediate CVD markers, including left ventricular hypertrophy and vascular stiffness in young adulthood. Trajectory analyses from longitudinal studies describe discrete BP pathways from childhood to young adult status of hypertension and prehypertension. Among individuals with familial hypercholesterolemia, abnormal low-density lipoprotein cholesterol levels are present in childhood. Some children are at risk for future CVD owing to hereditary factors, psychosocial stress, race, low birth weight, or other nonmodifiable exposures. Behavioural factors, including suboptimal diet, sedentary activity, and tobacco use, in childhood augment risk and can be modified to reduce risk. Pharmacologic treatments are reserved for those at high levels of the BP and cholesterol distributions and for those with diabetes and additional risk factors.