Heart Failure with Preserved Ejection Fraction: Pathogenesis, Diagnosis, Exercise, and Medical Therapies.

Heart failure with preserved ejection fraction (HFpEF) accounts for more than one-half of total heart failure cases, with a high prevalence and poor prognosis, especially in older and female patients. Patients with HFpEF are characterized by hypertension, left ventricular hypertrophy, and diastolic dysfunction, and the main symptoms are dyspnea and exercise intolerance. HFpEF is currently poorly studied, and pharmacological treatment for HFpEF is still underexplored. Accumulating clinical trials have shown that exercise could exert benefits on diastolic dysfunction and quality of life in patients with HFpEF. However, there is a high limitation for applying exercise therapy due to exercise intolerance in patients with HFpEF. Key effectors of exercise-protection could be novel therapeutic targets for developing drugs to prevent and treat HFpEF. In this review article, we provide an overview of the pathogenic factors, diagnostic methods, research animal models, the mechanisms of exercise-mediated cardiac protection, and current treatments for HFpEF.

Exercise Training-Induced MicroRNA Alterations with Protective Effects in Cardiovascular Diseases.

Exercise training (ET) is an important non-drug adjuvant therapy against many human diseases, including cardiovascular diseases. The appropriate ET intensity induces beneficial adaptions and improves physiological function and cardiopulmonary fitness. The mechanisms of exercise-induced cardioprotective effects are still not fully understood. However, mounting evidence suggest that microRNAs (miRNAs) play crucial role in this process and are essential in responding to exercise-stress and mediating exercise-protective effects. Thus, this review summarizes the biogenesis of miRNAs, the mechanism of miRNA action, and specifically the miRNAs involved in exercise-induced cardio-protection used as therapeutic targets for treating cardiovascular diseases.

Numerical Study on Stochastic Diabetes Mellitus Model with Additive Noise.

This article focuses on the numerical analysis and simulation of the stochastic diabetes mellitus model with additive noise. The existence and uniqueness theorem of the solution under some appropriate assumptions is established. And, the mean square stability and convergence of numerical solutions are proposed, too. The practical use of these theorems is demonstrated in the numerical computations of the stochastic diabetes mellitus model and the value for the forecast of the tendency of diabetes mellitus in a given time.