There are various examination methods for cardiovascular diseases. Non-invasive diagnosis and prognostic information acquisition are the current research hotspots of related imaging examinations. Positron emission tomography (PET)/magnetic resonance imaging (MRI) is a new advanced fusion imaging technology that combines the molecular imaging of PET with the soft tissue contrast function of MRI to achieve their complementary advantages. This article briefly introduces several major aspects of cardiac PET/MRI in the diagnosis of cardiovascular disease, including atherosclerosis, ischemic cardiomyopathy, nodular heart disease, and myocardial amyloidosis, in order to promote cardiac PET/MRI to be more widely used in precision medicine in this field.
Cardiovascular disease is one of the diseases with the highest morbidity and mortality in the world. Tanshinone ⅡA is one of the main active components of Salvia miltiorrhiza, which can significantly improve heart function. In this paper, the mechanisms of cardiovascular protection by tanshinone ⅡA are reviewed, including reducing myocardial apoptosis, inhibiting inflammatory reaction, improving atherosclerosis, and inhibiting myocardial fibrosis and antioxidant stress, and the related clinical research of tanshinone ⅡA is evaluated, so as to provide reference for the following research and clinical application of tanshinone ⅡA in cardiovascular system.
Sclerostin, as a bone-derived secreted glycoprotein, is a suppressor of Wnt signaling pathway. Recently, adverse cardiovascular events in the treatment of osteoporosis with sclerostin inhibitors have raised concerns about the association of sclerostin with atherosclerotic heart disease. Whether the role of sclerostin in atherosclerotic heart disease is harmful or beneficial is not clear. This article reviews the progress of the mechanisms of sclerostin in vascular calcification and atherosclerotic heart disease, focusing on the relationship between sclerostin and vascular calcification, the impact of its concentration changes on atherosclerotic heart disease, and the effect of sclerostin inhibitor on cardiovascular events.
Cardiovascular disease is a leading cause of death in Chinese population. It is of great significance to further explore the pathogenesis of cardiovascular diseases. Ferroptosis is a recently discovered iron-dependent and non-apoptotic form of regulated cell death, which exerts a regulatory role in a variety of biological events. Some studies have shown that ferroptosis plays an important role in the development of cardiovascular diseases. According to newly scientific reports, we summarized the mechanism and regulation in ferroptosis, and reviewed the results of ferroptosis in common cardiovascular diseases such as cardiac ischemia-reperfusion/myocardial infarction, cardiomyopathy, cardiac hypertrophy, atherosclerosis and abdominal aortic aneurysm.
Cardiovascular disease (CVD) has caused a huge burden of disease worldwide, and accurate diagnosis and assessment of CVD has a clear significance for improving the prognosis of patients. The development of artificial intelligence (AI) and its rapid application in the medical field have enabled new approaches for the analysis and fitting of various CVD data. At present, in addition to structured medical records, the CVD field also includes a large number of non-linear data brought by imaging and electrophysiological examinations. How to use AI to process such multi-source data has been explored by a large number of studies. Therefore, this review discusses the existing ways of processing various multi-source heterogeneous data with existing artificial intelligence technologies by summarizing various existing studies, and analyzes their possible advantages and disadvantages, in order to provide a basis for the future application of AI in CVD.
The peak period of cardiovascular disease (CVD) is around the time of awakening in the morning, which may be related to the surge of sympathetic activity at the end of nocturnal sleep. This paper chose 140 participants as study object, 70 of which had occurred CVD events while the rest hadn’t during a two-year follow-up period. A two-layer model was proposed to investigate whether hypnopompic heart rate variability (HRV) was informative to distinguish these two types of participants. In the proposed model, the extreme gradient boosting algorithm (XGBoost) was used to construct a classifier in the first layer. By evaluating the feature importance of the classifier, those features with larger importance were fed into the second layer to construct the final classifier. Three machine learning algorithms, i.e., XGBoost, random forest and support vector machine were employed and compared in the second layer to find out which one can achieve the highest performance. The results showed that, with the analysis of hypnopompic HRV, the XGBoost+XGBoost model achieved the best performance with an accuracy of 84.3%. Compared with conventional time-domain and frequency-domain features, those features derived from nonlinear dynamic analysis were more important to the model. Especially, modified permutation entropy at scale 1 and sample entropy at scale 3 were relatively important. This study might have significance for the prevention and diagnosis of CVD, as well as for the design of CVD-risk assessment system.
In recent years, the diversity of gut microbiota and the role of its metabolites in cardiovascular disease (CVD) have attracted widespread attention. Gut microbiota metabolites not only play an important role in maintaining gut health, but may also influence cardiovascular health through a variety of mechanisms. As one of the important products of gut microbiota metabolism, sulfate’s biosynthetic pathway, metabolic dynamics and potential effects on cardiovascular system have become the focus of research. However, the current research on the relationship between sulfate and cardiovascular disease still has some shortcomings, including the mechanism is not clear, and clinical data are limited. This article reviewed the biosynthesis of sulfate and its mechanism of action in cardiovascular diseases, and combined with the existing clinical research results, aimed to provide new perspectives and ideas for future research, in order to promote the in-depth exploration and development of this field.
Atherosclerotic cardiovascular disease (ASCVD) is a disease caused by the accumulation of atherosclerotic plaques that leads to arterial hardening and impairment of contractility. Proprotein convertase subtilisin/kexin type 9 (PCSK9) can increase low-density lipoprotein cholesterol levels in plasma, which accelerates the development and progression of ASCVD. This article intends to review the biological characteristics and functional mechanisms of PCSK9, elucidate its impact on the development and progression of ASCVD, provide research literature support for the diagnosis and treatment of such diseases and improving the prognosis of patients.
ObjectiveWearable devices refer to a class of monitoring devices that can be tightly integrated with the human body and are designed to continuously monitor individual's activity without impeding or restricting the user's normal activities in the process. With the rapid advancement of chips, sensors, and artificial intelligence technologies, such devices have been widely used for patients with cardiovascular diseases who require continuous health monitoring. These patients require continuous monitoring of a number of physiological indicators to assess disease progression, treatment efficacy, and recovery in the early stages of the disease, during the treatment, and in the recovery period. Traditional monitoring methods require patients to see a doctor on a regular basis with the help of fixed devices and analysis by doctors, which not only increases the financial burden of patients, but also consumes medical resources and time. However, wearable devices can collect data in real time and transmit it directly to doctors via the network, thus providing an efficient and cost-effective monitoring solution for patients. In this paper, we will review the applications, advantages and challenges of wearable devices in the treatment of cardiovascular diseases, as well as the outlook for their future applications.
Objective To explore the relationship between uric acid (UA) level and cardiovascular disease in patients with OSAHS and its clinical significance. Methods The electronic medical record system of the First hospital of Lanzhou University was used to collect 475 subjects who completed polysomnography (PSG) during hospitalization from January 2019 to May 2020. According to the Guidelines for the Diagnosis and Treatment of Obstructive Sleep Apnea Hypopnea Syndrome (Basic Version), the patients were divided into four group: control group [apnea-hypopnea index (AHI) <5 times/h, n=96], mild group (5≤AHI≤15 times/h, n=130), moderate group (15<AHI≤30 times/h, n=112), and severe group (AHI>30 times/h, n=137). The age, gender, body mass index (BMI), smoking history, drinking history, hypertension, diabetes mellitus, cardiovascular disease and biochemical indexes [including triglyceride, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, glucose, UA, blood urea nitrogen (BUN), serum creatinine, lactate dehydrogenase, homocysteine], PSG indexes were observed and compared among the four groups, and the differences were compared by appropriate statistical methods. Binary logistic regression model was used to evaluate the correlation between various risk factors and cardiovascular disease. Results There were statistically significant differences in age, gender, BMI, drinking history, hypertension and cardiovascular disease among the 4 groups (P<0.05). The levels of UA and BUN in mild, moderate and severe groups were higher than those in the control group, with statistical significance (P<0.05). With the increasing of OSAHS severity, the level of UA increased. There was statistical significance in the incidence of cardiovascular disease among the four groups (P<0.05), and the highest incidence of arrhythmia was found among the four groups. And the incidence of cardiovascular disease increases with the increasing of OSAHS severity. Binary Logistic regression analysis showed that the risk factors for cardiovascular disease in OSAHS patients were age, UA and BUN (P<0.05). Conclusions The occurrence of cardiovascular disease in OSAHS patients is positively correlated with the severity of OSAHS. The level of UA can be used as an independent risk factor for cardiovascular disease in OSAHS patients. Therefore, reducing the level of UA may have positive significance for the prevention and control of the prevalence and mortality of cardiovascular disease in OSAHS patients.