Epidemiology of cardiovascular disease in China: current features and implications

Predictive role of CHA₂DS₂-VASc score in acute coronary syndrome patients and value of adding global longitudinal strain to CHA₂DS₂-VASc score

BACKGROUND

Future clinical management would be improved by accurate and early identification of ACS patients at high CV risk. In non-valvular atrial fibrillation patients, the prognostic risk of thromboembolism has been evaluated using CHA₂DS₂-VASc scores. It has recently been shown to assess the severity of CAD and foresee patient outcomes. Also, LV global longitudinal strain is an independent predictor of outcome. Our study aimed to determine the added value of LV longitudinal strain (GLS) to CHA₂DS₂-VASc in predicting the outcome and severity of CAD in patients with acute coronary syndrome (ACS).

METHODS

A total of 577 patients with primary diagnosis of ACS were included between January and July 2021. All patients had evaluations based on history, clinical examination, 12-lead ECG, TTE, and coronary angiography. Six months follow-up had been provided to all patients.

RESULTS

Syntax score was significantly higher among patients with high-risk CHA₂DS₂-VASc score (30.5 ± 6.1 vs. 17.34 ± 8.7 vs. 11.11 ± 8.2), p-value <0. 001. GLS was significantly lower among high SYNTAX score (-10.97 ± 2.68 vs. -12.61 ± 3.46 vs. -17.81 ± 2.89), p-value = 0.0001. There was a significant negative correlation between the CHA₂DS₂-VASc score and GLS. Moreover, adding GLS to CHA₂DS₂-VASc score significantly improved overall accuracy for the prediction of outcome and severity of CAD in ACS patients.

CONCLUSIONS

CHA₂DS₂-VASc score is an easy and simple parameter that can be used in predicting the severity of CAD & adverse clinical outcome in ACS patients and adding GLS to the CHA₂DS₂-VASc score significantly improved overall accuracy.

Epigenetic modifications and emerging therapeutic targets in cardiovascular aging and diseases

The complex mechanisms underlying the development of cardiovascular diseases remain not fully elucidated. Epigenetics, which modulates gene expression without DNA sequence changes, is shedding light on these mechanisms and their heritable effects. This review focus on epigenetic regulation in cardiovascular aging and diseases, detailing specific epigenetic enzymes such as DNA methyltransferases (DNMTs), histone acetyltransferases (HATs), and histone deacetylases (HDACs), which serve as writers or erasers that modify the epigenetic landscape. We also discuss the readers of these modifications, such as the 5-methylcytosine binding domain proteins, and the erasers ten-eleven translocation (TET) proteins. The emerging role of RNA methylation, particularly N6-methyladenosine (m6A), in cardiovascular pathogenesis is also discussed. We summarize potential therapeutic targets, such as key enzymes and their inhibitors, including DNMT inhibitors like 5-azacytidine and decitabine, HDAC inhibitors like belinostat and givinotide, some of which have been approved by the FDA for various malignancies, suggesting their potential in treating cardiovascular diseases. Furthermore, we highlight the role of novel histone modifications and their associated enzymes, which are emerging as potential therapeutic targets in cardiovascular diseases. Thus, by incorporating the recent studies involving patients with cardiovascular aging and diseases, we aim to provide a more detailed and updated review that reflects the advancements in the field of epigenetic modification in cardiovascular diseases.

Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey

BACKGROUND

Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension.

METHODS

We analyzed data from the 2011 China Health and Nutrition Survey cohort of individuals who were not hypertensive at baseline and had follow-up results available for prediction by 2015. We tested and evaluated the performance of four traditional machine learning algorithms commonly used in epidemiological studies: Logistic Regression, Support Vector Machine, XGBoost, LightGBM, and two deep learning algorithms: TabNet and AMFormer model. We modeled using 16 and 29 features, respectively. SHAP values were applied to select key features associated with new onset hypertension.

RESULTS

A total of 4,982 participants were included in the analysis, of whom 1,017 developed hypertension during the 4-year follow-up. Among the 16-feature models, Logistic Regression had the highest AUC of 0.784(0.775∼0.806). In the 29-feature prediction models, AMFormer performed the best with an AUC of 0.802(0.795∼0.820), and also scored the highest in MCC (0.417, 95%CI: 0.400∼0.434) and F1 (0.503, 95%CI: 0.484∼0.505) metrics, demonstrating superior overall performance compared to the other models. Additionally, key features selected based on the AMFormer, such as age, province, waist circumference, urban or rural location, education level, employment status, weight, WHR, and BMI, played significant roles.

CONCLUSION

We used the AMFormer model for the first time in predicting new onset hypertension and achieved the best results among the six algorithms tested. Key features associated with new onset hypertension can be determined through this algorithm. The practice of machine learning algorithms can further enhance the predictive efficacy of diseases and identify risk factors for diseases.

Prognostic Values of Homocysteine and Potassium Levels in Acute Ischemic Stroke Patients after Intravenous Thrombolysis with Recombinant Tissue-Type Plasminogen Activator

Abnormal levels of homocysteine (Hcy) and potassium are associated with poor prognosis of patients with ischemic stroke. Nonetheless, the roles Hcy and potassium in the prognosis of patients with acute ischemic stroke (AIS) receiving intravenous thrombolysis (IVT) with recombinant tissue-type plasminogen activator (rt-PA) are still unknown. Therefore, the purpose of this study is to investigate the association between the levels of Hcy and potassium and clinical prognosis in AIS patients receiving IVT with rt-PA. AIS patients receiving IVT with rt-PA were enrolled in this study. AIS patients were divided into early neurological deterioration (END) and no END group according to the National Institutes of Health Stroke Scale (NIHSS) scores. Moreover, patients were divided into favorable outcome and poor outcome according to the modified Rankin Scale (mRS) scores. Multivariate logistic regression analysis was applied for detecting the risk factors. Four-hundred-twenty-six patients with AIS IVT with rt-PA were recruited: 24 patients showed END within 24 h. One-hundred-fifty-seven patients showed poor outcome. Multivariate analysis showed that higher levels of Hcy level (P < 0.001) and lower levels of potassium level (P < 0.01) were more frequently in patients with END and poor outcomes in AIS patients with IVT at the three-month visit. Taken together, the high Hcy and low potassium levels may be the potential biomarker for AIS patients receiving IVT with rt-PA.

Combined effect of triglyceride-glucose index and atherogenic index of plasma on cardiovascular disease: a national cohort study

The triglyceride-glucose (TyG) index and the Atherogenic Index of Plasma (AIP) are both predictors of cardiovascular diseases (CVD). However, their combined and individual contributions to CVD risk are not well understood. This study evaluate the joint and individual associations of the TyG index and AIP with CVD events in middle-aged and older Chinese adults. This nationwide, retrospective cohort study utilized data from CHARLS. The diagnosis of CVD in this study was determined based on self-reported information provided by participants regarding their medical history( heart disease and/or stroke). Cross-sectional analyses in 2011 and longitudinal analyses over a 9-year follow-up were conducted to assess these associations. In the cross-sectional analysis, 8,531 participants were included at baseline. The odds ratio (OR) for TyG alone was 1.06 (95% CI 0.96-1.22) for CVD, while the OR for AIP alone was 1.16 (95% CI 1.02-1.33). Combined analysis showed that compared to the low TyG & low AIP group, the OR for the high TyG & high AIP group was 1.23 (95% CI 1.07-1.42) for CVD. In the survival Analysis, the hazard ratio (HR) for TyG alone was 1.19 (95% CI 1.04-1.35) for CVD, while the HR for AIP alone was 1.25 (95% CI 1.09-1.43). Combined analysis showed that compared to the low TyG & low AIP group, the HR for the high TyG & high AIP group was 1.27 (95% CI 1.10-1.43) for CVD. The findings underscore the significant coexposure effects of the TyG index and AIP on CVD, particularly in middle-aged adults.

Mesenchymal stem cell therapy in atherosclerosis: A bibliometric and visual analysis

BACKGROUND

Mesenchymal stem cells (MSCs) are capable of self-renewal and differentiation, and extensive studies have demonstrated their therapeutic potential in atherosclerosis (AS).

AIM

To conduct a bibliometric analysis of studies on the use of MSC therapy for AS over the past two decades, assess key trends and provide insights for future research directions.

METHODS

We systematically searched the Web of Science Core Collection database for articles published between 1999 and 2023, yielding a total of 556 articles. Visual representation and bibliometric analysis of information and trends were facilitated using CiteSpace, the R package 'bibliometrix' and VOSviewer.

RESULTS

The analyzed articles were predominantly from 52 countries/regions, with prominent contributions from China and the United States. A cohort of 3057 authors contributed to these publications, with the works of Libby P distinguished by their influence and citation count. Int J Mol Sci has emerged as the journal with the highest publication volume, prominently disseminating influential papers and identifying citation outbreaks. Furthermore, our analysis identified current research hotspots within the field, focusing on vascular progenitor cells, inflammatory mechanisms, and extracellular vesicles. Emerging research frontiers, such as extracellular vesicles and oxidative stress, have been highlighted as areas of burgeoning interest. Finally, we offer perspectives on the status of research and future directions of MSC therapy in AS.

CONCLUSION

This comprehensive analysis provides valuable insights for advancing scientific research on MSC therapy for AS. By elucidating pivotal trends and research directions, this study aimed to foster innovation and promote the progress of disciplines in this field, thereby contributing to advancing scientific knowledge and clinical practice.

The role of m6A modification in cardiovascular disease: A systematic review and integrative analysis

BACKGROUND AND AIMS

This study focused on the recent advancements in understanding the association between N6-methyladenosine (m6A) modification and cardiovascular disease (CVD).

METHODS

The potential mechanisms of m6A related to CVD were summarized by literature review. Associations between m6A levels and CVD were explored across 8 electronic databases: PubMed, Embase, Web of Science, Cochrane Library, Sinomed, Wan Fang, CNKI, and Vip. Standard mean difference (SMD) and 95 % confidence interval (95 % CI) were calculated to assess the total effect in integrated analysis.

RESULTS

The systematic review summarized previous studies on the association between m6A modification and CVD, highlighting the potential role of m6A in CVD progression. A total of 11 studies were included for integrative analysis. The mean m6A levels were significantly higher in CVD than those in normal controls (SMD = 1.86, 95 % CI: 0.16-3.56, P < 0.01).

CONCLUSIONS

This systematic review provided new targets for early detection and treatment for CVD. And the integrated analysis showed that increased level of m6A was associated with CVD.

Regulating NETs contributes to a novel antiatherogenic effect of MTHSWD via inhibiting endothelial injury and apoptosis

Neutrophil extracellular traps (NETs) are implicated in the occurrence and progression of atherosclerosis (AS), which can result in adverse cardiovascular events. We investigated the potential mechanism of action of Modified Taohong Siwu Decoction (MTHSWD) against AS based on its effect on NETs. A model of unstable plaque in AS was established by tandem stenosis (TS) of the right common carotid artery in ApoE-/- mice combined with a western diet (WD). The research found that MTHSWD reduced the weight of mice with AS to varying degrees, and significantly decreased the levels of plasma total cholesterol (TC) and triglycerides (TG). Meanwhile, we found that MTHSWD not only significantly improved cardiac EF, FS, cardiac hypertrophy, and ventricular remodeling, but also ameliorated the silent and depressed hypoactivity state caused by AS in ApoE-/- mice. Additionally, the study revealed that MTHSWD improved the severity of AS, protected the vascular structure, increased plaque stability and vessel patency. It also significantly reduced vascular cell apoptosis, platelet aggregation, and the presence of inflammatory cells such as neutrophils (NEUs), as well as the expression of neutrocyte elastase (NE) and myeloperoxidase (MPO), which are components of NETs. Subsequently, NEUs studies have shown that MTHSWD not only significantly reduces the dsDNA content of NETs, but also lowers the expression of NETs components NE and citH3. NETs treating the human umbilical vein endothelial cells (HUVECs) demonstrated that NETs differentially increased the protein expression of endothelial inflammatory adhesion factors CD62P, VCAM-1 and ICAM-1, while significantly decreasing the viability of HUVECs. Pharmacological treatment discovered that MTHSWD significantly improved HUVECs viability impaired by NETs, and promoted the growth and proliferation of endothelial cells. Furthermore, it significantly reduced early and late apoptosis of HUVECs caused by NETs, decreased the expression of pro-apoptotic proteins BAX and Cleaved-Caspase-3, and increased the expression of anti-apoptotic protein Bcl-2. Thus, study suggests that MTHSWD may improve body weight, lipid levels, cardiac function, vigour, and the severity of AS in ApoE-/- AS mice. The novel effect of MTHSWD against AS may be attributed to the inhibition of endothelial injury and apoptosis through the regulation of NETs. This, in turn, reduces the levels of platelets, inflammatory cells, and components of NETs in AS plaques, achieving a benign cycle that protects endothelial cells and vascular structure and function. This result provides some clues and evidence for studying the mechanism of action and clinical application of MTHSWD and its active ingredients against AS.

Acupuncture for angina post percutaneous coronary intervention: a protocol for systematic review and meta-analysis

INTRODUCTION

Ischaemic heart disease (IHD) is a pathological process characterised by a blockage or non-obstructive accumulation of atherosclerotic plaques in the epicardial arteries. Percutaneous coronary intervention (PCI) is widely used in clinical practice to treat IHD. However, angina post PCI (APPCI) impairs quality of life and portends a worse prognosis. Hence, an effective and safe treatment option remains an urgent need for patients with APPCI. In recent years, there has been an increasing body of clinical trials regarding the use of acupuncture for the prevention and treatment of APPCI, and the results have indicated it might be a promising therapeutic intervention. However, to our knowledge, the potential benefits of acupuncture for the prevention and treatment of APPCI to justify either their recommendation or their clinical role have not been evaluated.

METHODS AND ANALYSIS

PubMed, Embase, Cochrane Library, Web of Science Core Collection, Chinese Biomedical Database, Chinese National Knowledge Infrastructure, Wanfang Database and VIP Database will be searched from inception to 8 June 2024 without language restrictions. Two investigators will independently screen studies, extract data, assess the risk of bias from randomised controlled trials (RCTs) and assess the risk of bias. The third reviewer will arbitrate any disagreements. Data synthesis and analysis will be conducted using the RevMan V.5.4 software. Subgroup analyses, sensitivity analysis, meta-regression and bias reporting assessments will be performed if necessary and appropriate. Finally, the quality of evidence from RCTs will be assessed using the Grading of Recommendations Assessment, Development, and Evaluation System tool.

ETHICS AND DISSEMINATION

Ethical approval is unnecessary since no private or confidential patient data will be included. The systematic review will be published in peer-reviewed journals.

PROSPERO REGISTRATION NUMBER

CRD42024562116.

Improving access to cardiovascular care for 1.4 billion people in China using telehealth

Cardiovascular diseases (CVDs) pose a significant health burden in China, where the large population and vast geography limit access to care. Telehealth (tHealth) services provide a virtual model of care that can enhance CVD management. This study aims to describe the trajectory of tHealth services for cardiovascular care between 2016 and 2020 in China, assess their utilization, and discuss their implications for improving access to care in resource-scarce regions. Data were collected on patient-facing, operational tHealth apps in Mainland China. In 2016, 45.8% of tertiary hospitals were accessible via tHealth apps, with a 10.7% annual growth rate. Wealthier regions had better tHealth coverage, irrespective of CVD burden. In 2016 and 2020, 34% and 67% of patients, respectively, consulted doctors located outside of their provinces, primarily in wealthier areas. The most common CVDs managed were hypertension, coronary artery disease, and arrhythmia. These findings suggest that tHealth services improve care access, especially in underdeveloped regions, but widespread technology adoption remains crucial.

Exploring the mechanism of berberine treatment for atherosclerosis combined with non-alcoholic fatty liver disease based on bioinformatic and experimental study

Atherosclerosis (AS) and Non-alcoholic fatty liver disease (NAFLD) are chronic metabolic disorders with high prevalence and significant health impacts. Both conditions share common pathophysiological pathways including abnormal lipid metabolism and inflammation. Berberine (BBR), an isoquinoline alkaloid, is known for its beneficial effects on various metabolic and cardiovascular disorders. This study investigates BBR's impact on AS and NAFLD through bioinformatics analysis and experimental models. This study utilized various bioinformatics methods, including transcriptome analysis, weighted gene co-expression network analysis (WGCNA), machine learning, and molecular docking, to identify key genes and pathways involved in AS and NAFLD. Subsequently an animal model of AS combined with NAFLD was established using ApoE-/- mice fed a high-fat diet. The efficacy and mechanism of action of BBR were verified using methods such as hematoxylin and eosin (HE) staining, Oil Red O staining, and real-time quantitative PCR (RTqPCR). Through transcriptome analysis, WGCNA, and machine learning, this study identified 48 key genes involved in both AS and NAFLD. Function analysis revealed that the implicated genes were significantly involved in pathways like cytokine-cytokine receptor interaction, chemokine signaling, and IL-17 signaling pathway, suggesting their role in inflammation and immune responses. Single cell validation identified six key genes: dual specificity phosphatase 6 (DUSP6), chemokine ligand 3 (CCL3), complement component 5a receptor 1 (C5AR1), formyl peptide receptor 1 (FPR1), myeloid nuclear differentiation antigen (MNDA), and proviral integration site of murine 2(PIM2). Finally, molecular docking and animal experiments showed that BBR significantly reduced lipid deposits and inflammatory markers in liver and aortic tissues. In conclusion, BBR can improve AS combined with NAFLD by regulating genes like MNDA, PIM2, DUSP6, CCL3, C5AR1, and FPR1, with the mechanism related to inflammation control. The findings suggest potential clinical benefits of BBR in reducing the progression of both AS and NAFLD, warranting further investigation.

Adjustment of the ACEF score by the triglyceride glucose index improves the prediction of clinical outcomes in patients undergoing percutaneous coronary intervention

BACKGROUND

The ACEF score (age, creatinine, and left ventricular ejection fraction) and the triglyceride-glucose (TyG) index have been identified as robust risk prediction models for adverse outcomes post-percutaneous coronary intervention (PCI) in coronary atherosclerotic heart disease (CHD) patients. This study aimed to assess whether incorporating the TyG index enhances the predictive ability of the ACEF score and enhances risk stratification for CHD patients undergoing PCI.

METHODS

This observational cohort study enrolled 1248 patients diagnosed with CHD who underwent PCI at the Third People's Hospital of Chengdu, China, between May 2018 and December 2022. Receiver operating characteristic (ROC) curves were employed to establish the optimal cutoff values for the TyG index and ACEF score. The primary endpoint event was defined as major adverse cardiac and cerebrovascular events (MACCEs). Cumulative survival curves were plotted using the Kaplan-Meier method. Univariable and multivariable Cox regression analyses were conducted to identify predictors of MACCEs. The predictive ability of the ACEF score and the TyG index was assessed using the area under the ROC curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

RESULTS

Over a median follow-up period of 30.60 months, 214 patients experienced MACCEs. Kaplan-Meier survival analysis demonstrated a significant association between elevated ACEF score (> 1.27) and TyG index levels (> 8.82) with a heightened incidence of MACCEs (HR = 2.018, 95%CI 1.593-2.789; HR = 2.057, 95%CI 1.572-2.691; Log-Rank test, both P < 0.001). Multivariable Cox regression analysis revealed that even after adjusting for multiple confounders, both the ACEF score and TyG index remained as predictors of MACCEs (HR = 1.702, 95%CI 1.210-2.394, P = 0.002; HR = 1.575, 95%CI 1.296-1.916, P < 0.001). Additionally, the addition of the ACEF score and TyG index into the conventional risk model significantly improved the ability to predict MACCEs, as evidenced by the increase in the C-statistic value from 0.664 to 0.703, along with notable improvements in continuous NRI (0.391), categorical NRI (0.107), and IDI (0.033) (all P < 0.001).

CONCLUSION

The combination of the TyG index and the ACEF score enhances the predictive ability for long-term MACCEs in patients with CHD undergoing PCI.

Z-Ligustilide: A Potential Therapeutic Agent for Atherosclerosis Complicating Cerebrovascular Disease

Atherosclerosis (AS) is one of the major catalysts of ischemic cerebrovascular disease, and the death and disease burden from AS and its cerebrovascular complications are increasing. Z-ligustilide (Z-LIG) is a key active ingredient in Angelica sinensis (Oliv.) Diels and Ligusticum chuanxiong Hort. In this paper, we first introduced LIG's physicochemical properties and pharmacokinetics. Then, we reviewed Z-LIG's intervention and therapeutic mechanisms on AS and its cerebrovascular complications. The mechanisms of Z-LIG intervention in AS include improving lipid metabolism, antioxidant and anti-inflammatory effects, protecting vascular endothelium, and inhibiting vascular endothelial fibrosis, pathological thickening, and plaque calcification. In ischemic cerebrovascular diseases complicated by AS, Z-LIG exerts practical neuroprotective effects in ischemic stroke (IS), transient ischemic attack (TIA), and vascular dementia (VaD) through anti-neuroinflammatory, anti-oxidation, anti-neuronal apoptosis, protection of the blood-brain barrier, promotion of mitochondrial division and angiogenesis, improvement of cholinergic activity, inhibition of astrocyte proliferation, and endoplasmic reticulum stress. This paper aims to provide a basis for subsequent studies of Z-LIG in the prevention and treatment of AS and its cerebrovascular complications and, thus, to promote the development of interventional drugs for AS.

Construction and validation of coronary heart disease risk prediction model for general hospitals in Tacheng Prefecture, Xinjiang, China

Objective

To analyze the risk factors for coronary heart disease (CHD) in patients hospitalized in general hospitals in the Tacheng Prefecture, Xinjiang, and to construct and verify the nomogram prediction model for the risk of CHD.

Methods

From June 2022 to June 2023, 489 CHD patients (CHD group) and 520 non-CHD individuals (control group) in Tacheng, Xinjiang, were retrospectively selected. Using a 7:3 ratio, patients were divided into a training group (706 cases) and a validation group (303 cases). General clinical data were compared, and key variables were screened using logistic regression (AIC). A CHD risk nomogram for Tacheng was constructed. Model performance was assessed using ROC AUC, calibration curves, and DCA.

Results

In the training group, non-Han Chinese (OR = 2.93, 95% CI: 2.0-4.3), male (OR = 1.65, 95% CI: 1.0-2.7), alcohol consumption (OR = 1.82, 95% CI: 1.2-2.9), hyperlipidemia (OR = 2.41, 95% CI: 1.7-3.5), smoking (OR = 1.61, 95% CI: 1.0-2.6), diabetes mellitus (OR = 1.62, 95% CI: 1.1-2.4), stroke (OR = 2.39, 95% CI: 1.6-3.7), older age (OR = 1.08, 95% CI: 1.1-1.2), and larger waist circumference (OR = 1.04, 95% CI: 1.0-1.1) were the risk factors for coronary heart disease (all P < 0.05). The area under the curve (AUC) of the work characteristics of the subjects in the training group and the validation group were 0.80 (95% CI: 0.8-0.8) and 0.82 (95% CI: 0.8-0.9), respectively. The Hosmer-Lemeshow test indicated P = 0.325 for the training group and P = 0.130 for the validation group, with calibration curves closely fitting the ideal curve. The predicted values aligned well with actual values, and decision curve analysis results suggest that the model offers a net clinical benefit.

Conclusion

The CHD risk prediction model developed in this study for general hospitals in Tacheng Prefecture, Xinjiang, demonstrates strong predictive performance and serves as a simple, user-friendly, cost-effective tool for medical personnel to identify high-risk groups for CHD.

The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China

Ischemic heart disease (IHD) is a leading cause of death in cardiovascular patients. In China, the disease burden of IHD deaths has significantly increased. One of the main influencing factors of IHD is changing climates, and temperature and diurnal temperature range (DTR) are important indicators of climate change. In this study, we aimed to assess the associations of temperature variability on IHD mortality in a fast developing city Hangzhou,China. We obtained daily IHD mortality data and meteorological data from mortality surveillance system from 2014 to 2016. Quasi-Poisson generalized linear regression with a distributed lag non-linear model (DLNM) was applied to estimate the associations between temperature variability and IHD deaths. Potential confounders were controlled in the analysis, including relative humidity, day of the week, public holidays, and long-term trends. A total of 7423 IHD mortality data were included in this study. A J-shaped pattern of DTR and a reversely J-shaped pattern of temperature for IHD mortality were observed. Risk estimates showed that the relative risks (RRs) of IHD mortality with extreme high DTR at lag 0-7 days were 1.309 (95% CI: 0.985, 1.740) while RRs of IHD mortality with extreme low DTR at lag 0-2 days were 1.234 (95% CI: 1.043, 1.460). For extreme hot temperature, the highest RRs at lag 0-2 days were 1.559 (95% CI: 1.250, 1.943); for extremely cold temperatures, the RRs increased from 1.049 (95% CI: 0.930, 1.183) to 2.089 (95% CI: 1.854, 2.352). In Hangzhou city, short-term exposure to extreme temperature was associated with mortality for IHD. These findings have implications for policy decision-making and targeted interventions.

Curcumin pretreatment attenuates myocardial ischemia/reperfusion injury by inhibiting ferroptosis, autophagy and apoptosis via HES1

The early restoration of hemodynamics/reperfusion in acute myocardial infarction (AMI) is an effective therapeutic strategy to reduce sudden death and improve patient prognosis. However, reperfusion induces additional cardiomyocyte damage and cardiac tissue dysfunction. In this context, turmeric‑derived curcumin (Cur) has been shown to exhibit a protective effect against myocardial ischemia/reperfusion injury (I/RI). The molecular mechanism of its activity, however, remains unclear. The current study investigated the protective effect of Cur and its molecular mechanism via in vitro experiments. The Cell Counting Kit‑8 and lactate dehydrogenase (LDH) assay kit were used to assess the cell viability and cytotoxicity. The contents of malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase, glutathione (GSH)/glutathione disulfide (GSSG), total iron, ferrous iron, caspase‑3 and reactive oxygen species (ROS) were measured using an appropriate kit. Western blotting was used to detect the expression of relevant proteins. The levels of apoptosis, mitochondrial permeability transition pore (MPTP) opening, and mitochondrial membrane potential (MMP) were detected by flow cytometry. The study findings indicated that anoxia/reoxygenation (A/R) injury significantly decreased cell viability, increased in LDH and caspase‑3 activities, induced ferroptosis, increased apoptosis and overactivated autophagy. However, pretreatment with Cur or ferrostatin‑1 (Fer‑1, a ferroptosis inhibitor) significantly increased A/R‑reduced cell viability, SOD, glutathione peroxidase activity, GSH/GSSH ratio and HES1 and glutathione peroxidase 4 protein expression; attenuated A/R‑induced LDH, MDA, total iron, ferrous iron, prostaglandin‑endoperoxide synthase 2 protein expression and prevented ROS overproduction and MMP loss. In addition, Cur inhibited caspase‑3 activity, upregulated the Bcl‑2/Bax ratio, reduced apoptotic cell number and inhibited MPTP over‑opening. Furthermore, Cur increased P62, LC3II/I, NDUFB8 and UQCRC2 expression and upregulated the p‑AMPK/AMPK ratio. However, erastin (a ferroptosis activator), pAD/HES1‑short hairpin RNA, rapamycin (an autophagy activator) and Compound C (an AMPK inhibitor) blocked the protective effect of Cur. In conclusion, Cur pretreatment inhibited ferroptosis, autophagy overactivation and oxidative stress; improved mitochondrial dysfunction; maintained energy homeostasis; attenuated apoptosis; and ultimately protected the myocardium from A/R injury via increased HES1 expression.

Advances in the study of exosomes in cardiovascular diseases

BACKGROUND

Cardiovascular disease (CVD) has been the leading cause of death worldwide for many years. In recent years, exosomes have gained extensive attention in the cardiovascular system due to their excellent biocompatibility. Studies have extensively researched miRNAs in exosomes and found that they play critical roles in various physiological and pathological processes in the cardiovascular system. These processes include promoting or inhibiting inflammatory responses, promoting angiogenesis, participating in cell proliferation and migration, and promoting pathological progression such as fibrosis.

AIM OF REVIEW

This systematic review examines the role of exosomes in various cardiovascular diseases such as atherosclerosis, myocardial infarction, ischemia-reperfusion injury, heart failure and cardiomyopathy. It also presents the latest treatment and prevention methods utilizing exosomes. The study aims to provide new insights and approaches for preventing and treating cardiovascular diseases by exploring the relationship between exosomes and these conditions. Furthermore, the review emphasizes the potential clinical use of exosomes as biomarkers for diagnosing cardiovascular diseases.

KEY SCIENTIFIC CONCEPTS OF REVIEW

Exosomes are nanoscale vesicles surrounded by lipid bilayers that are secreted by most cells in the body. They are heterogeneous, varying in size and composition, with a diameter typically ranging from 40 to 160 nm. Exosomes serve as a means of information communication between cells, carrying various biologically active substances, including lipids, proteins, and small RNAs such as miRNAs and lncRNAs. As a result, they participate in both physiological and pathological processes within the body.

Brain natriuretic peptide as a predictor of 30-day mortality after return of spontaneous circulation in cardiac arrest patients

PURPOSE

To determine the predictive value of brain natriuretic peptide (BNP) levels for 30-day mortality after return of spontaneous circulation (ROSC) in patients with cardiac arrest (CA) of presumed cardiac etiology.

METHODS

This retrospective study included 260 patients with CA of presumed cardiac etiology who regained ROSC and was conducted between November 2013 and June 2022 at two tertiary comprehensive hospitals. Cox regression and nomogram models were used to demonstrate the value of BNP level in predicting 30-day mortality rates. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare the ability of the two models to predict 30-day mortality risk.

RESULTS

BNP level was a predictive factor for 30-day mortality (hazard ratio [HR] = 1.441; 95 % confidence interval [CI] = 1.198-1.734). The area under curves (AUCs) of BNP level alone and model 2 (male sex, age, non-shockable rhythm, epinephrine, and time to ROSC >30 min) for predicting 30-day mortality were similar(0.813 versus 0.834). Model 1 that included the variables in model 2 and BNP level showed good predictive value (area under curve = 0.887; 95 % CI = 0.836-0.939). Compared to Model 2, Model 1 showed improved comprehensive differentiation and net weight classification of mortality prediction, further demonstrating the predictive value of BNP for 30-day mortality (NRI = 0.451, 95 % CI = 0.267-0.577; IDI = 0.109, 95 % CI = 0.035-0.191).

CONCLUSION

BNP level was a predictive factor for 30-day mortality after ROSC in patients with CA of presumed cardiac etiology who regained ROSC. The nomogram model included BNP may provide a reference for predicting 30-day mortality.

Associations between metabolic dysfunction-associated fatty liver disease and atherosclerotic cardiovascular disease

Non-alcoholic fatty liver disease (NAFLD) is closely related to metabolic syndrome and remains a major global health burden. The increased prevalence of obesity and type 2 diabetes mellitus (T2DM) worldwide has contributed to the rising incidence of NAFLD. It is widely believed that atherosclerotic cardiovascular disease (ASCVD) is associated with NAFLD. In the past decade, the clinical implications of NAFLD have gone beyond liver-related morbidity and mortality, with a majority of patient deaths attributed to malignancy, coronary heart disease (CHD), and other cardiovascular (CVD) complications. To better define fatty liver disease associated with metabolic disorders, experts proposed a new term in 2020 - metabolic dysfunction associated with fatty liver disease (MAFLD). Along with this new designation, updated diagnostic criteria were introduced, resulting in some differentiation between NAFLD and MAFLD patient populations, although there is overlap. The aim of this review is to explore the relationship between MAFLD and ASCVD based on the new definitions and diagnostic criteria, while briefly discussing potential mechanisms underlying cardiovascular disease in patients with MAFLD.

Effect of Home-Based Cardiac Telerehabilitation in Patients After Percutaneous Coronary Intervention: A Randomized Controlled Trial

Low adherence to hospital-based cardiac rehabilitation has been observed in patients after percutaneous coronary intervention. The effectiveness of home-based cardiac telerehabilitation in this setting is unclear. This study aimed to investigate the impact of home-based cardiac telerehabilitation on exercise endurance, disease burden status, cardiac function, and quality of life in patients after percutaneous coronary intervention. A total of 106 patients after percutaneous coronary intervention were randomly assigned to either the intervention group (receiving routine rehabilitation care and home-based cardiac telerehabilitation) or the control group (receiving routine care only), with 53 patients in each group. The 6-minute walking test, anerobic threshold, physical component summary score, mental component summary score, V o2max , and left ventricular ejection fraction were measured in both groups before and 3 months after the intervention. Additionally, the Short-Form 12 scale and Family Burden Interview Schedule were used to assess quality of life and disease burden status. The intervention group demonstrated significant improvements in 6-minute walking test, anerobic threshold, V o2max , physical component summary score, mental component summary score, Short-Form 12 scale, and Family Burden Interview Schedule scale scores compared with the control group ( P <0.05). Results suggest that home-based cardiac telerehabilitation may improve exercise endurance and quality of life and reduce disease burden status in patients after percutaneous coronary intervention.

Implications of baseline glycemic control by plasma glycated hemoglobin A1c on adverse outcomes in patients with coronary heart disease and type 2 diabetes mellitus: Results from the PROMISE study

Background

The optimal glycosylated hemoglobin (HbA1c) target in type 2 diabetes mellitus (T2DM) patients remains controversial, especially in patients with concomitant coronary heart disease (CHD). This study aimed to investigate the correlation between baseline HbA1c and long-term prognosis in CHD patients with T2DM.

Methods

The study enrolled 6,839 CHD patients with T2DM and measured HbA1c at admission in a multicenter prospective observational cohort. Patients were divided into two groups according to baseline HbA1c levels: optimal glycemic control group (HbA1c < 7.0 %, n = 3023) and poor glycemic control group (HbA1c ≥ 7.0 %, n = 3816). The study endpoints were all-cause death and major adverse cardiac and cerebrovascular events (MACCEs).

Results

The median follow-up period was 2.1 years. During this period, 229 (3.3 %) all-cause deaths, 165 (2.4 %) cardiac deaths, and 759 (11.1 %) MACCEs occurred. Unadjusted Kaplan-Meier analysis showed that the incidences of all-cause death, cardiac death, non-fatal MI, unplanned revascularization, and MACCEs were significantly lower in the HbA1c < 7.0 % group than in the HbA1c ≥ 7.0 % group (P < 0.05). Multivariate Cox hazard analysis indicated that the incidences of all-cause death, cardiac death and MACCEs were significantly lower in the HbA1c < 7.0 % group compared to the HbA1c ≥ 7.0 % group [all-cause death: hazard ratio (HR) 1.969, 95 % confidence interval (CI) 1.421-2.729; cardiac death: HR 2.515, 95 % CI 1.647-3.839; MACCEs: HR 1.345, 95 % CI 1.150-1.573; P < 0.001].

Conclusions

Baseline HbA1c level was associated with all-cause death, cardiac death, and MACCEs in CHD patients with T2DM.

The association between triglyceride glucose index and the risk of cardiovascular disease in obstructive sleep apnea

PURPOSE

The triglyceride glucose (TyG) index is a dependable indicator of insulin resistance (IR), serves as a valuable biomarker for identifying obstructive sleep apnea (OSA) and predicting its comorbidities. Both OSA and the TyG index are significantly related to the incidence and development of cardiovascular disease (CVD). We focus on investigating the relationship between the TyG index and the incidence of CVD risk in OSA.

METHODS

The TyG index, homeostatic model assessment of IR (HOMA-IR) index, and polysomnography were assessed in 191 participants with OSA and without pre-existing CVD. To estimate the lifetime CVD risk, we employed the 'Prediction for Atherosclerotic CVD Risk in China' equation. The TyG index's association with CVD risk was scrutinized using multivariable logistic regression models, contrasting it with the HOMA-IR index. We compared the predictive power for high lifetime CVD risk of the TyG index and the HOMA-IR index using receiver-operating characteristic (ROC) curve analysis.

RESULTS

A total of 89 participants had high lifetime CVD risk. In fully adjusted model and additionally adjusted for HOMA-IR index, participants situated within the fifth quantile of the TyG index exhibited an increased lifetime CVD risk, with OR of 4.32 (95% CI, 1.19-15.67). The TyG index demonstrated significant predictive power for high lifetime CVD risk across varying severities of OSA and outperformed the HOMA-IR index, as evidenced by a larger area under the ROC curve.

CONCLUSION

The TyG index, independent of the HOMA-IR index and obesity, was linked to an increased lifetime CVD risk. In predicting cardiovascular outcomes, the TyG index could potentially outperform the HOMA-IR index among individuals with OSA.

Pleiotropic Effects of PCSK9 Inhibitors on Cardio-Cerebrovascular Diseases

Cardiovascular disease (CVD) and ischemic stroke (IS) are the primary causes of mortality worldwide. Hypercholesterolemia has been recognized as an independent risk factor for CVD and IS. Numerous clinical trials have unequivocally demonstrated that reducing levels of low-density lipoprotein cholesterol (LDL-C) significantly mitigates the risk of both cardiac and cerebral vascular events, thereby enhancing patient prognosis. Consequently, LDL-C reduction remains a pivotal therapeutic strategy for CVD and IS. However, despite intensive statin therapy, a significant proportion of high-risk hypercholesterolemic patients fail to achieve sufficient reductions in LDL-C levels. In response to this challenge, an inhibitor targeting proprotein convertase subtilisin-kexin type 9 (PCSK9) has been developed as a therapeutic intervention for hyperlipidemia. Numerous randomized controlled trials (RCTs) have conclusively demonstrated that the combination of PCSK9 inhibitors and statins significantly enhances prognosis not only in patients with CVD, but also in those afflicted with symptomatic intracranial artery stenosis (sICAS). PCSK9 inhibitors significantly reduce LDL-C levels by binding to the PCSK9 molecule and preventing its interaction with LDLRs. This prevents degradation of the receptor and increases uptake of LDL-C, thereby decreasing its concentration in blood. Besides significantly reducing LDL-C levels, PCSK9 inhibitors also demonstrate anti-inflammatory and anti-atherosclerotic properties while promoting plaque stabilization and inhibiting platelet aggregation and thrombosis. This article aims to provide a comprehensive review based on the relevant literature regarding the evolving understanding of pleiotropic effects associated with PCSK9 inhibitors, particularly focusing on their impact on the cardiovascular system and central nervous system.

The interaction between triglyceride-glucose index and visceral adiposity in cardiovascular disease risk: findings from a nationwide Chinese cohort

BACKGROUND

Globally, cardiovascular disease (CVD) constitutes the primary cause of death, with insulin resistance (IR), measured by the triglyceride-glucose (TyG) index, and visceral obesity, reflected by the Chinese Visceral Adiposity Index (CVAI), as key contributors. However, the relationship between the TyG index and CVAI regarding CVD risk remains insufficiently understood. This research investigates the interactive impact of the TyG index and CVAI on the risk of cardiovascular disease.

METHODS

We analyzed data from 8,358 participants from the China Health and Retirement Longitudinal Study (CHARLS) over a 9-year follow-up period. Participants were classified into four groups based on median TyG index (8.59) and CVAI values (101.26), and baseline characteristics were summarized. Missing data were addressed using multiple imputation by chained equations (MICE). Cox proportional hazards models assessed associations between TyG index, CVAI, CVD, coronary heart disease (CHD), and stroke risks, with Kaplan-Meier analysis used for cumulative hazard. Interaction effects were evaluated using both multiplicative and additive measures. Subgroup analyses by age, gender, and clinical conditions were conducted to explore interaction effects across different populations. Sensitivity analyses re-tested models, excluding the covariates BMI and diabetes, using tertiles for classification, and re-evaluating imputed data.

RESULTS

Over the 9-year follow-up, 1,240 participants (14.8%) developed CVD, including 896 cases of CHD and 475 strokes. Kaplan-Meier curves indicated that participants with low TyG index but high CVAI had the highest cumulative hazard of CVD. Cox regression showed that this group had the highest CVD risk (HR = 1.87, 95% CI: 1.57-2.24), followed by those with both high TyG index and high CVAI (HR = 1.75, 95% CI: 1.49-2.06). Interaction analysis revealed a negative interaction effect between high TyG and high CVAI on CVD and CHD risks, with no significant effect on stroke. Subgroup and sensitivity analyses further confirmed these findings, showing consistent results across demographic groups and under various analytical conditions.

CONCLUSION

This study suggests that the interaction between IR (TyG index) and visceral fat accumulation (CVAI) plays a complex role in CVD risk, with a potential antagonistic effect observed between high TyG and high CVAI on CVD events. These findings highlight the importance of considering both IR and visceral adiposity in CVD risk assessments to improve the identification of high-risk individuals.

Multi-modal transcriptomics: integrating machine learning and convolutional neural networks to identify immune biomarkers in atherosclerosis

BACKGROUND

Atherosclerosis, a complex chronic vascular disorder with multifactorial etiology, stands as the primary culprit behind consequential cardiovascular events, imposing a substantial societal and economic burden. Nevertheless, our current understanding of its pathogenesis remains imprecise. In this investigation, our objective is to establish computational models elucidating molecular-level markers associated with atherosclerosis. This endeavor involves the integration of advanced machine learning techniques and comprehensive bioinformatics analyses.

MATERIALS AND METHODS

Our analysis incorporated data from three publicly available the Gene Expression Omnibus (GEO) datasets: GSE100927 (104 samples, 30,558 genes), which includes atherosclerotic lesions and control arteries from carotid, femoral, and infra-popliteal arteries of deceased organ donors; GSE43292 (64 samples, 23,307 genes), consisting of paired carotid endarterectomy samples from 32 hypertensive patients, comparing atheroma plaques and intact tissues; and GSE159677 (30,498 single cells, 33,538 genes), examining single-cell transcriptomes of calcified atherosclerotic core plaques and adjacent carotid artery tissues from patients undergoing carotid endarterectomy. Utilizing single-cell sequencing, highly variable atherosclerotic monocyte subpopulations were systematically identified. We analyzed cellular communication patterns with temporal dynamics. The bioinformatics approach Weighted Gene Co-expression Network Analysis (WGCNA) identified key modules, constructing a Protein-Protein Interaction (PPI) network from module-associated genes. Three machine-learning models derived marker genes, formulated through logistic regression and validated via convolutional neural network(CNN) modeling. Subtypes were clustered based on Gene Set Variation Analysis (GSVA) scores, validated through immunoassays.

RESULTS

Three pivotal atherosclerosis-associated genes-CD36, S100A10, CSNK1A1-were unveiled, offering valuable clinical insights. Profiling based on these genes delineated two distinct isoforms: C2 demonstrated potent microbicidal activity, while C1 engaged in inflammation regulation, tissue repair, and immune homeostasis. Molecular docking analyses explored therapeutic potential for Estradiol, Zidovudine, Indinavir, and Dronabinol for clinical applications.

CONCLUSION

This study introduces three signature genes for atherosclerosis, shaping a novel paradigm for investigating clinical immunological medications. It distinguishes the high biocidal C2 subtype from the inflammation-modulating C1 subtype, utilizing identified signature gene as crucial targets.

Correlation between gestational diabetes mellitus and postpartum cardiovascular metabolic indicators and inflammatory factors: a cohort study of Chinese population

Objective

This study aimed to analyze the correlation between gestational diabetes mellitus and postpartum metabolic indicators and inflammatory factors, and explore the role of inflammatory factors, so as to provide evidence for the early prevention of postpartum CVD risk in gestational diabetes mellitus.

Methods

This prospective study was based on the pregnant women cohort study established in Peking University International Hospital from December 2017 to March 2019. A total of 120 women were enrolled sequentially, including 60 cases of gestational diabetes mellitus (GDM group) and 60 cases of non-gestational diabetes mellitus (non-GDM group) after 4-7 years. The general information, inflammatory factors and metabolic indicators of the women were collected and analyzed.

Results

(1)The TyG and siMS levels in the GDM group were higher than those in the non-GDM group (p<0.05, respectively). The interleukin-6(IL-6) levels in the GDM group were higher than those in the non-GDM group and the difference was statistically significant (p<0.05). (2) The results of linear regression analysis showed that GDM was associated with postpartum GLU0min (β=0.94, 95%CI: 0.27-1.60, p<0.05), GLU120min (β=2.76, 95%CI: 1.57-3.94, p<0.05) and HbA1c (β=0.49, 95%CI: 0.27-1.60, p<0.05). At the same time, GDM was significantly correlated with postpartum metabolic indicators triglyceride-glucose (TyG) index (β=0.31, 95%CI: 0.01-0.61, p<0.05) and siMS score (β=0.45, 95%CI: 0.03-0.88, p<0.05).The results of linear regression analysis showed that GDM was significantly correlated with IL-6 (β=0.91, 95%CI: 0.02-1.79, p<0.05). (3) Logistic regression analysis showed that GDM was an independent risk factor for postpartum abnormal metabolism (OR=10.62, 95%CI: 1.66-68.17, p<0.05), and an independent risk factor for postpartum high low-density lipoprotein cholesterolemia (OR=3.38, 95%CI: 1.01-11.56, p<0.05). (4) The IL-6 had a mediating effect in the association between GDM and postpartum TyG and siMS, with the mediating effect sizes being 20.59% and 30.77%, respectively.

Conclusion

This study revealed that GDM history can lead to abnormal glucose and lipid metabolism indexes in postpartum women, affect the levels of postpartum CVD-related metabolic indicators. Meanwhile, IL-6 shows a mediating role, providing important clinical evidence for the prevention and control of CVD in such high-risk populations and the improvement of cardiovascular health.

The Frequency and Main Characteristics of Obesity in Undocumented Migrants Receiving Medical Assistance from a Charitable Organisation in Italy

BACKGROUND

Obesity is continually growing not only in medium- and high-income countries but also in low-income countries, from where increasing numbers of migrants arrive in Western countries. We aimed to investigate the frequency and characteristics of obesity in a sample of undocumented migrants, a population for which official health data are not available.

METHODS

We collected demographic and socio-economic data and information on medical diagnoses and pharmacologic treatments for 341 undocumented migrants consecutively attending the outpatient clinic of a big non-governmental organisation in Milan, Italy, from March to July 2023. To measure obesity, we used both body mass index (BMI) and waist circumference (WC). We used multivariate robust Poisson regression models to calculate prevalence ratios (PRs) and 95% Confidence Intervals (CIs) of overweight or obesity according to socio-demographic conditions and other risk factors.

RESULTS

Using BMI, the proportion of migrants with obesity was 28.7% (95% CI 24.0-33.0%) and those with overweight represented 32.3% (95% CI 27.3-37.5%). Obesity was more frequent among Asians (53.9%, 95% CI 37.2-69.9%), followed by Latinos (38.7%, 95% CI 29.6-48.5%) and Eastern Europeans (38.2%, 95% CI 25.4-52.3%). Using WC, 68.3% (95% CI 63.1-73.2%) of migrants had values suggestive of overweight or obesity. In the multivariate analyses, overweight and obesity were more frequent in migrants with older age, with a stable employment, and who had been present in Italy for a long time, as well as in those with CV diseases. Moreover, individuals with obesity needed more medications for the cardiovascular system and for the alimentary tract and metabolism.

CONCLUSIONS

In our sample of undocumented migrants, overweight and obesity were frequent, representing an important public health issue, considering the difficulty experienced by such individuals in finding access to both prevention and healthcare services.

Research progress on FSH-FSHR signaling in the pathogenesis of non-reproductive diseases

Follicle-stimulating hormone (FSH), a glycoprotein hormone synthesized and secreted by the anterior pituitary gland, plays a critical role in reproductive development and regulation by binding to FSH receptor (FSHR). Beyond reproductive tissue, FSHRs have been identified in various non-reproductive tissues, indicating broader functions. FSH levels chronically rise during menopause and remain elevated in postmenopausal life. This increase in FSH level has been indicated to be associated with heightened risk of several non-reproductive diseases, including osteoporosis, hypercholesterolemia, type 2 diabetes mellitus, obesity, cardiovascular disease, Alzheimer's disease, and certain cancers. In this review, we will examine the role of FSH-FSHR signaling in the pathogenesis of these non-reproductive diseases and explore therapeutic strategies targeting FSH-FSHR signaling pathways.

Rapid FEV1 decline and the effects of both FEV1 and FVC on cardiovascular disease: A UK biobank cohort analysis

BACKGROUND

The relationship between lung function and cardiovascular disease (CVD) has emerged as a significant research focus in recent years, but studies on the effects of both forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) remain limited.

METHODS

Among 29,662 participants in the UK Biobank study free of CVD, rapid lung function decline was defined as the decline in either FEV1 (greatest quartile), FVC (greatest quartile), or both (when both FEV1 and FVC exceeded the greatest quartile). CVDs include coronary heart disease (CHD), arrhythmias, heart failure (HF), peripheral arterial disease (PAD), and other CVDs (including endocarditis, stroke, and myocardial diseases). Cox proportional hazards models were used to explore the associations between lung function and CVD incidence. Fine‒Gray models were used to account for the competing risk of death.

RESULTS

Among 29,662 participants in the UK Biobank study free of CVD, the adjusted hazard ratios (HRs) for FEV1 rapid decline were 1.150 (95% CI: 1.009-1.311) for CHD, 1.307 (95% CI: 1.167-1.465) for arrhythmias, 1.406 (95% CI: 1.084-1.822) for HF, 1.287 (95% CI: 1.047-1.582) for PAD, 1.170 (95% CI: 1.022-1.340) for other CVDs, and 1.216 (95% CI: 1.124-1.315) for composite CVD. The adjusted HRs for the impact of both rapid decreases in FEV1 and FVC were 1.386 (95% CI: 1.226-1.567) for arrhythmias, 1.390 (95% CI: 1.041-1.833) for HF, 1.222 (95% CI: 1.054-1.417) for other CVDs, and 1.230 (95% CI: 1.128-1.340) for composite CVD.

CONCLUSIONS

The rapid decline in FEV1 and the impact of both FEV1 and FVC are closely associated with the subsequent incidence of various CVDs and composite CVD.

Overview of Panax ginseng and its active ingredients protective mechanism on cardiovascular diseases

ETHNIC PHARMACOLOGICAL RELEVANCE

Panax ginseng is a traditional Chinese herbal medicine used to treat cardiovascular diseases (CVDs), and it is still widely used to improve the clinical symptoms of various CVDs. However, there is currently a lack of summary and analysis on the mechanism of Panax ginseng exerts its cardiovascular protective effects. This article provides a review of in vivo and in vitro pharmacological studies on Panax ginseng and its active ingredients in reducing CVDs damage.

AIM OF THIS REVIEW

This review summarized the latest literature on Panax ginseng and its active ingredients in CVDs research, aiming to have a comprehensive and in-depth understanding of the cardiovascular protection mechanism of Panax ginseng, and to provide new ideas for the treatment of CVDs, as well as to optimize the clinical application of Panax ginseng.

METHODS

Enrichment of pathways and biological terms using the traditional Chinese medicine molecular mechanism bioinformatics analysis tool (BATMAN-TCM). The literature search is based on electronic databases such as PubMed, ScienceDirect, Scopus, CNKI, with a search period of 2002-2023. The search terms include Panax ginseng, Panax ginseng ingredients, ginsenosides, ginseng polysaccharides, ginseng glycoproteins, ginseng volatile oil, CVDs, heart, and cardiac.

RESULTS

132 articles were ultimately included in the review. The ingredients in Panax ginseng that manifested cardiovascular protective effects are mainly ginsenosides (especially ginsenoside Rb1). Ginsenosides protected against CVDs such as ischemic reperfusion injury, atherosclerosis and heart failure mainly through improving energy metabolism, inhibiting hyper-autophagy, antioxidant, anti-inflammatory and promoting secretion of exosomes.

CONCLUSION

Panax ginseng and its active ingredients have a particularly prominent effect on improving myocardial energy metabolism remodeling in protecting against CVDs. The AMPK and PPAR signaling pathways are the key targets through which Panax ginseng produces multiple mechanisms of cardiovascular protection. Extracellular vesicles and nanoparticles as carriers are potential delivery ways for optimizing the bioavailability of Panax ginseng and its active ingredients.

Telomere length as a biomarker for cerebrovascular diseases: current evidence

Cerebrovascular disease (CVD) includes a range of conditions affecting the brain's blood vessels, which can result in reduced blood flow to brain tissue. The most common manifestation of CVD is stroke, the second leading cause of death and the third leading cause of disability worldwide. Major risk factors for CVD encompass gender, age, smoking, hypertension, diabetes, physical inactivity, obesity, alcohol consumption, and metabolic syndrome. Research suggests a link between telomere length and an increased risk of CVD, particularly in ischemic stroke cases. This review highlights key findings on the relationship between telomere length and CVD, underscoring its clinical importance. The analysis utilizes scientific literature from PubMed, Scopus, and SciELO up to 2024. Results show that shorter telomere length is associated with various types of CVD, including stroke, ischemic stroke, hemorrhagic stroke, and cardioembolic stroke. Some studies propose that telomere length measurement could be a valuable biomarker for CVD, potentially improving prevention, diagnosis, and management strategies.

An equation for calculating small dense low-density lipoprotein cholesterol

OBJECTIVE

Small dense low-density lipoprotein cholesterol (sdLDL-C), as an emerging atherogenic factor of cardiovascular diseases, requires additional tests. We aimed to establish a sdLDL-C equation using standard lipid profile and evaluate its capacity of identifying the residual cardiovascular risk beyond LDL-C and apolipoprotein B (ApoB).

METHODS

This cross-sectional study included 25 435 participants from Health Management Cohort and 11 628 participants from China Health and Retirement Longitudinal Study (CHARLS) to construct and evaluate the sdLDL-C equation by least-squares regression model. The equation for sdLDL-C depended on low-density lipoprotein cholesterol (LDL-C) and an interaction term between LDL-C and the natural log of triglycerides (TG).

RESULTS

The modified equation (sdLDL-C = 0.14*ln(TG)*LDL-C - 0.45*LDL-C + 10.88) was more accurate than the original equation in validation set (slope = 0.783 vs. 0.776, MAD = 5.228 vs. 5.396). Using the 80th percentile (50 mg/dL) as a risk-enhancer rule for sdLDL-C, accuracy of the modified equation was higher than the original equation in validation set (90.47% vs. 89.73%). The estimated sdLDL-C identified an additional proportion of high-risk individuals in BHMC (4.93%) and CHARLS (1.84%).

CONCLUSION

The newly developed equation in our study provided an accurate tool for estimating sdLDL-C level among the Chinese population as a potential cardiovascular risk-enhancer.

Changes in the estimated glucose disposal rate and incident cardiovascular disease: two large prospective cohorts in Europe and Asia

BACKGROUND AND AIMS

Previous study found that estimated glucose disposal rate (eGDR) was significantly associated with cardiovascular disease (CVD). However, little is known about the change in eGDR over time and its association with the development of CVD. The aim of this study was to investigate the association of change in eGDR with CVD risk.

METHODS

This study used data of two prospective cohorts: UK Biobank and China Health and Retirement Longitudinal Study (CHARLS) with two measurements of eGDR. Changes in the eGDR were classified using K‑means clustering analysis, and the cumulative eGDR was also calculated. Cox proportional hazard models were used to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) after adjusting for potential confounders.

RESULTS

A total of 11,682 individuals from the UK Biobank, and 4,974 individuals from the CHARLS were included. The median follow-up periods were 9.7 years in the UK Biobank and 3.0 years in the CHARLS. Compared with persistently high level of eGDR (class 1), individuals with low level increasing (class 3) and persistently low level of eGDR (class 4) showed elevated risks of incident CVD in both UK Biobank (HR = 2.79, 95% 2.15-3.62 for class 3; HR = 3.19, 95% 2.50-4.08 for class 4) and CHARLS (HR = 1.66, 95% 1.29-2.13 for class 3; HR = 1.69, 95% 1.34-2.14 for class 4). In addition, lower level of cumulative eGDR were associated with elevated risks of incident CVD. The dose-response curve between cumulative eGDR and CVD risk showed a negative linear relationship.

CONCLUSION

Different changes in eGDR level are associated with different risks of incident CVD. Dynamic monitoring of eGDR level is of significant importance for the CVD prevention and treatment.

Mechanisms and treatment of atherosclerosis: focus on macrophages

Macrophages are the basic mediators and coordinators of various types of chronic inflammation and play a crucial role in the formation and development of atherosclerosis (AS). In the complex microenvironment of atherosclerotic plaques, macrophages of different sources are exposed to different signal stimuli and thus polarized into various subpopulations. Various types of macrophages with predominantly M1 and M2 phenotypes also play different regulatory roles in the initiation and progression of AS. Lipid-lowering drugs, mainly statins, are widely used in clinical practice, but the adverse reactions are obvious and there is a lack of personalized treatment. Emerging targeted macrophage and Traditional Chinese medicine (TCM)-related therapies can regulate the cellular microenvironment, inhibit the polarization of M1 macrophages, and promote the activation of M2 macrophages, providing new ideas for the prevention and treatment of AS.

Association between Asian race and perioperative outcomes after carotid revascularization varies with Asian procedure density

OBJECTIVE

Postoperative outcomes following carotid revascularization are understudied in Asian patients. We aimed to assess whether disease severity and postoperative outcomes following carotid revascularization differ between Asian and White patients, and whether this varies with Asian procedure density.

METHODS

We analyzed the Vascular Quality Initiative Carotid Endarterectomy and Carotid Artery Stenting datasets from 2003 to 2021. Regions were divided into tertiles based on Asian procedure density. Propensity scores were used to match Asian and White patients based on patient factors and procedure type. The primary outcome variable was a collapsed composite of in-hospital ipsilateral stroke/death/myocardial infarction. χ2 tests were used to assess association between Asian race and disease severity, center and surgeon volume, and 1-year outcomes. Logistic and Cox regressions were performed between the matched cohorts.

RESULTS

A total of 1766 Asian and 159,608 White patients underwent carotid revascularization, and we identified 2704 patients (1352 Asian and 1352 White) in the matched cohorts. Among propensity matched patients, all-comer Asian patients more commonly had >80% ipsilateral stenosis (63% vs 52%; P < .001) and a moderate/severe preoperative Rankin score (7.6% vs 5.1%; P = .007). The rate of in-hospital stroke/death/myocardial infarction was higher in Asian patients (2.6% vs 1.3%; P = .012), and this disparity was more pronounced in the lowest tertile of Asian procedure density (4.3% vs 0.5%; P < .001). Logistic regression in the propensity-matched cohort demonstrated Asian race was associated with lower odds of intervention at highest volume centers (odds ratio [OR], 0.3; 95% confidence interval [CI], 0.2-0.3; P < .001) and by highest volume surgeons (OR, 0.3; 95% CI, 0.3-0.4; P < .001). Asian race was associated with higher odds of in-hospital stroke/death/myocardial infarction (OR, 2.0; 95% CI, 1.1-3.8; P = .031), and there was a significant interaction between Asian procedure density and the relationship between Asian race and this outcome (interaction P = .001). After accounting for center and surgeon volume, the association of Asian race and the composite outcome was mitigated (OR, 1.5; 95% CI, 0.7-3.3; P = .300). Cox regression between the matched cohorts demonstrated that Asian race was associated with lower 1-year mortality (hazard ratio, 0.5; 95% CI, 0.3-0.7; P = .001) and higher risk of 1-year reintervention (hazard ratio, 16; 95% CI, 1.8-142; P = .013).

CONCLUSIONS

Asian patients are more likely to present with a higher degree of carotid stenosis, higher preoperative risk, and experience worse perioperative outcomes. The association of Asian race with perioperative stroke/death/myocardial infarction varies with Asian procedure density and is also confounded by center and surgeon volume. These results highlight the importance of understanding referral patterns and cultural effects on outcomes disparities in Asian patients.

Bacteriophages and their potential for treatment of metabolic diseases

Recent advances highlight the role of gut virome, particularly phageome, in metabolic disorders such as obesity, type 2 diabetes mellitus, metabolic dysfunction-associated fatty liver disease, and cardiovascular diseases, including hypertension, stroke, coronary heart disease, and hyperlipidemia. While alterations in gut bacteria are well-documented, emerging evidence suggests that changes in gut viruses also contribute to these disorders. Bacteriophages, the most abundant gut viruses, influence bacterial populations through their lytic and lysogenic cycles, potentially modulating the gut ecosystem and metabolic pathways. Phage therapy, previously overshadowed by antibiotics, is experiencing renewed interest due to rising antibiotic resistance. It offers a novel approach to precisely edit the gut microbiota, with promising applications in metabolic diseases. In this review, we summarize recent discoveries about gut virome in metabolic disease patients, review preclinical and clinical studies of phage therapy on metabolic diseases as well as the breakthroughs and currently faced problems and concerns.

Protective effects of tetramethylpyrazine on myocardial ischemia/reperfusion injury involve NLRP3 inflammasome suppression by autophagy activation

Tetramethylpyrazine (TMP) belongs to the active ingredients of the traditional Chinese medicine Chuanxiong, which has a certain protective effect in myocardial ischemia-reperfusion (I/R) injury. It can improve postoperative cardiac function and alleviate ventricular remodeling in acute myocardial infarction patients. However, its specific protective mechanism is still unclear. In this study, a certain concentration of TMP was introduced into I/R mice or H9C2 cells after oxygen-glucose deprivation/reoxygenation (OGD/R) treatment to observe the effects of TMP on cardiomyocyte activity, cytotoxicity, apoptosis, autophagy, pyroptosis, and NLRP3 inflammasome activation. The results displayed that TMP intervention could reduce OGD/R and I/R-induced cardiomyocyte apoptosis, accelerate cellular activity and autophagy levels, and ameliorate myocardial tissue necrosis in I/R mice in a dose-dependent manner. Further, TMP prevented the formation of NLRP3 inflammasomes to suppress pyroptosis by increasing the level of cardiomyocyte autophagy after I/R and OGD/R modelling, the introduction of chloroquine to suppress autophagic activity in vivo and in vitro was further analyzed to confirm whether TMP inhibits NLRP3 inflammasome activation and pyroptosis by increasing autophagy, and we found the inhibitory effect of TMP on NLRP3 inflammasomes and its protective effect against myocardial injury were blocked when autophagy was inhibited with chloroquine. In conclusion, this experiment demonstrated that TMP unusually attenuated I/R injury in mice, and this protective effect was achieved by inhibiting the activation of NLRP3 inflammasomes through enhancing autophagic activity.

A quantitative study of the effects of a dual layer coating drug-eluting stent on safety and efficacy

A key strategy for increasing drug mass (DM) while maintaining good safety is to improve the drug release profile (RP). We designed a dual layer coating drug-eluting stent (DES) that exhibited smaller concentration gradients between the coating and the artery wall and significantly impacted the drug RP. However, a detailed understanding of the effects of the DES designed by our team on safety and efficacy is still lacking. The objective of this study was to provide a comprehensive multiscale computational framework that would allow us to probe the safety and efficacy of the DES we designed. This framework consisted of four coupled modules, namely (1) a mechanical stimuli module, simulating mechanical stimuli caused by percutaneous coronary intervention through a finite element analysis, (2) an inflammation module, simulating inflammation of vascular smooth muscle cells (VSMCs) induced by mechanical stimuli through an agent-based model (ABM), (3) a drug transport module, simulating drug transport through a continuum-based approach, and (4) a mitosis module, simulating VSMC mitosis through an ABM. Our results indicated that when the DM increased to two times the initial DM value, the DES we designed had higher safety and lower efficacy values than a conventional DES. When the DM increased to five times the initial DM value, the DES we designed had higher safety than a conventional DES, and negligible differences in efficacy compared with a conventional DES. In summary, the DES we designed exhibited a significant advantage in safety, but a slightly reduced efficacy compared with that of a conventional DES.

Clinical pharmacokinetics and pharmacodynamics of ongericimab: A potential long-acting PCSK9 monoclonal antibody in healthy subjects and patients with hypercholesterolemia: Randomized, double-blind, placebo-controlled phase Ia and Ib/II studies

Proprotein convertase subtilisin/kexin type 9 (PCSK9) increases plasma low-density lipoprotein-cholesterol (LDL-C) by decreasing the expression of the LDL-receptor on hepatic cells. Ongericimab (JS002) is a novel PCSK9 monoclonal antibody that exhibits a long-acting LDL-C lowering effect by exclusively inhibiting PCSK9 in pre-clinical studies. Two randomized, double-blind, placebo-controlled trials were conducted to evaluate the safety, tolerability, efficacy, immunogenicity, pharmacokinetic, and pharmacodynamic profiles of ongericimab in healthy subjects and patients with hypercholesterolemia. Eighty-four healthy subjects in the phase Ia study received a single dose of placebo or ongericimab (15-450 mg). Ninety patients with hypercholesterolemia in the phase Ib/II study received placebo or ongericimab 150 mg Q2W, 300 mg Q4W, or 450 mg Q4W for 12 weeks. Ongericimab exhibited non-linear kinetics. The apparent clearance decreased as the dosage increased, with terminal elimination half-life (t1/2) values of 4.5-6.5 days. Overall, ongericimab was well tolerated in both studies. A single dose of ongericimab reduced LDL-C levels by 30%-73% in healthy subjects, and repeated doses of ongericimab reduced LDL-C levels by 67%-80% in patients with hypercholesterolemia. At the end of the dosing interval in the phase Ib/II study, over 70% of patients' LDL-C levels decreased by more than 50% from baseline. The results showed that ongericimab had a significant long-acting LDL-C lowering effect with good safety and potential for clinical application.

Associations of Diabetes and Prediabetes With Mortality and Life Expectancy in China: A National Study

OBJECTIVE

To investigate the excess mortality and life-years lost associated with diabetes and prediabetes in China.

RESEARCH DESIGN AND METHODS

This national cohort study enrolled 135,405 participants aged 18 years or older from the general population in China. Cox proportional hazards regression models were used to estimate adjusted mortality rate ratio (RR). The life table method was used to estimate life expectancy.

RESULTS

Among the 135,405 participants, 10.5% had diabetes and 36.2% had prediabetes in 2013. During a median follow-up of 6 years, 5517 deaths were recorded, including 1428 and 2300 deaths among people with diabetes and prediabetes, respectively. Diabetes and prediabetes were significantly associated with increased risk of all-cause (diabetes: RR, 1.61 [95% CI 1.49, 1.73]; prediabetes: RR, 1.08 [95% CI 1.01, 1.15]), and cardiovascular disease (diabetes: RR, 1.59 [95% CI 1.41, 1.78]; prediabetes: RR, 1.10 [95% CI 1.00, 1.21]) mortality. Additionally, diabetes was significantly associated with increased risks of death resulting from cancer, respiratory disease, liver disease, and diabetic ketoacidosis or coma. Compared with participants with normoglycemia, life expectancy of those with diabetes and prediabetes was shorter, on average, by 4.2 and 0.7 years at age 40 years, respectively. The magnitude of the associations of diabetes and prediabetes with all-cause and cardiovascular disease mortality varied by age and residence.

CONCLUSIONS

In this national study, diabetes and prediabetes were significantly associated with reduced life expectancy and increased all-cause and cause-specific mortality risks. The disparities in excess mortality associated with diabetes and prediabetes between different ages and residences have implications for diabetes and prediabetes prevention and treatment programs.

The role and underlying mechanisms of irisin in exercise-mediated cardiovascular protection

Irisin, a product of the post-translational processing of fibronectin type III domain-containing protein 5 (FNDC5), is a novel myokine which is upregulated during exercise. This hormone not only promotes the transformation of white adipose tissue into a brown-fat-like phenotype but also enhances energy expenditure and mitigates fat accumulation. Its role is crucial in the management of certain metabolic disorders such as diabetes and heart disease. Of note, the type of exercise performed significantly affects blood irisin levels, indicating the critical role of physical activity in regulating this hormone. This article aims to summarize the current scientific understanding of the role of irisin and the mechanisms through which it mediates cardiovascular protection through exercise. Moreover, this article aims to establish irisin as a potential target for preventing and treating cardiovascular diseases.

Association of triglyceride-glucose index, low and high-density lipoprotein cholesterol with all-cause and cardiovascular disease mortality in generally Chinese elderly: a retrospective cohort study

Background

The impact of baseline triglyceride-glucose (TyG) index and abnormal low or high-density lipoprotein cholesterol (LDL-C or HDL-C) levels on all-cause and cardiovascular disease (CVD) mortality remains unclear. This study aimed to investigate the relationship between TyG index and LDL-C or HDL-C and all-cause and CVD mortality.

Methods

This retrospective cohort study analyzed data from health examinations of 69,068 older adults aged ≥60 in Xinzheng City, Henan Province, China, between January 2013 and January 2023. Cox proportional risk regression models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of the TyG index and LDL-C or HDL-C about all-cause and CVD mortality. Restricted cubic spline was used to assess the dose-response relationship.

Results

During 400,094 person-years of follow-up (median follow-up 5.8 years [interquartile range 3.0-9.12]), 13,664 deaths were recorded, of which 7,045 were due to CVD. Compared with participants in the second quartile of the TyG index, participants in the fourth quartile had a 16% increased risk of all-cause mortality (HR: 1.16, 95% CI: 1.12,1.22), and an 8% increased risk of CVD mortality (HR: 1.08, 95% CI: 1.01,1.16). Similar results were observed in LDL-C and HDL-C, with all-cause and CVD mortality risks for participants in the fourth quartile compared with participants in the third quartile for LDL-C of (HR: 1.07, 95% CI: 1.02,1.12) and (HR: 1.09, 95% CI: 1.01,1.17), respectively. The risk of all-cause and CVD mortality in participants in the fourth quartile group compared with those in the second HDL-C quartile group was (HR: 1.10, 95% CI: 1.05,1.16) and (HR: 1.11, 95% CI: 1.04,1.18), respectively. We found that the TyG index was nonlinearly associated with all-cause and CVD mortality (P non-linear <0.05), and LDL-C was nonlinearly associated with all-cause mortality (P non-linear <0.05) but linearly associated with CVD mortality (P non-linear >0.05). HDL-C, on the other hand, was in contrast to LDL-C, which showed a non-linear association with CVD mortality. We did not observe a significant interaction between TyG index and LDL-C or HDL-C (P >0.05).

Conclusion

TyG index and LDL-C or HDL-C increased the risk of all-cause and CVD mortality, especially a high TyG index combined with abnormal LDL-C.

Revisiting the diagnostic and prognostic significance of high-frequency QRS analysis in cardiovascular diseases: a comprehensive review

Cardiovascular diseases (CVDs) present a significant global public health threat, contributing to a substantial number of cases involving morbidity and mortality. Therefore, the early and accurate detection of CVDs plays an indispensable role in enhancing patient outcomes. Decades of extensive research on electrocardiography at high frequencies have yielded a wealth of knowledge regarding alterations in the QRS complex during myocardial ischemia, as well as the methodologies to assess and quantify these changes. In recent years, the analysis of high-frequency QRS (HF-QRS) components has emerged as a promising non-invasive approach for diagnosing various cardiovascular conditions. Alterations in HF-QRS amplitude and morphology have demonstrated remarkable sensitivity as diagnostic indicators for myocardial ischemia, often surpassing measures of ST-T segment changes. This comprehensive review aims to provide an intricate overview of the current advancements, challenges, and prospects associated with HF-QRS analysis in the field of CVDs.

Assessing the relative importance of vitamin D deficiency in cardiovascular health

Previous research has suggested a potential link between vitamin D (VD) deficiency and adverse cardiovascular health outcomes, although the findings have been inconsistent. This study investigates the association between VD deficiency and cardiovascular disease (CVD) within the context of established CVD risk factors. We utilized a Random Forest model to predict both CVD and VD deficiency risks, using a dataset of 1,078 observations from a rural Chinese population. Feature importance was evaluated using SHapley Additive exPlanations (SHAP) to discern the impact of various risk factors on the model's output. The results showed that the model for CVD prediction achieved a high accuracy of 87%, demonstrating robust performance across precision, recall, and F1 score metrics. Conversely, the VD deficiency prediction model exhibited suboptimal performance, with an accuracy of 52% and lower precision, recall, and F1 scores. Feature importance analysis indicated that traditional risk factors such as systolic blood pressure, diastolic blood pressure, age, body mass index, and waist-to-hip ratio significantly influenced CVD risk, collectively contributing to 70% of the model's predictive power. Although VD deficiency was associated with an increased risk of CVD, its importance in predicting CVD risk was notably low. Similarly, for VD deficiency prediction, CVD risk factors such as systolic blood pressure, glucose levels, diastolic blood pressure, and body mass index emerged as influential features. However, the overall predictive performance of the VD deficiency prediction model was weak (52%), indicating the absence of VD deficiency-related risk factors. Ablation experiments confirmed the relatively lower importance of VD deficiency in predicting CVD risk. Furthermore, the SHAP partial dependence plot revealed a nonlinear relationship between VD levels and CVD risk. In conclusion, while VD deficiency appears directly or indirectly associated with increased CVD risk, its relative importance within predictive models is considerably lower when compared to other risk factors. These findings suggest that VD deficiency may not warrant primary focus in CVD risk assessment and prevention strategies, however, further research is needed to explore the causal relationship between VD deficiency and CVD risk.

Near-infrared-triggered plasmonic regulation and cardiomyocyte-based biosensing system for in vitro bradyarrhythmia treatment

Bradyarrhythmia, a life-threatening cardiovascular disease, is an increasing burden for the healthcare system. Currently, surgery, implanted device, and drug are introduced to treat the bradyarrhythmia in clinical practice. However, these conventional therapeutic strategies suffer from the invasive surgery, power supply, or drug side effect, respectively, hence developing the alternative therapeutic strategy is necessarily imperative. Here, a convenient and effective strategy to treat the bradyarrhythmia is proposed using near-infrared-triggered Au nanorod (NR) based plasmonic photothermal effect (PPE). Moreover, electrophysiology of cardiomyocytes is dynamically monitored by the integrated biosensing-regulating system during and after the treatment. Cardiomyocyte-based bradyarrhythmia recover rhythmic for a long time by regulating plasmonic photothermal effect. Furthermore, the regulatory mechanism is qualitatively investigated to verify the significant thermal stimulation in the recovery process. This study establishes a reliable platform for long-term recording and evaluation of mild photothermal therapy for bradyarrhythmia in vitro, offering an efficient and non-invasive strategy for the potential clinical applications.

The pro-atherogenic effects and the underlying mechanisms of chronic bisphenol S (BPS) exposure in apolipoprotein E-deficient mice

Atherosclerosis (AS) and its related cardiovascular diseases (CVDs) remain the most frequent cause of morbidity and mortality worldwide. Researches showed that bisphenol A (BPA) exposure might exacerbate AS progression. However, as an analogue of BPA, little is known about the cardiovascular toxicity of bisphenol S (BPS), especially whether BPS exposure has the pro-atherogenic effects in mammals is still unknown. Here, we firstly constructed an apolipoprotein E knockout (ApoE-/-) mouse model and cultured cells to investigate the risk of BPS on AS and explore the underlying mechanisms. Results showed that prolonged exposure to 50 μg/kg body weight (bw)/day BPS indeed aggravated AS lesions both in the en face aortas and aortic sinuses of ApoE-/- mice. Moreover, BPS were found to be implicated in the AS pathological process: 1) stimulates adhesion molecule expression to promote monocyte-endothelial cells (ECs) adhesion with 3.6 times more than the control group in vivo; 2) increases the distribution of vascular smooth muscle cells (VSMCs) with 9.3 times more than the control group in vivo, possibly through the migration of VSMCs; and 3) induces an inflammatory response by increasing the number of macrophages (MACs), with 3.7 times more than the control group in vivo, and the release of inflammatory mediators. Furthermore, we have identified eight significant AS-related genes induced by BPS, including angiopoietin-like protein 7 (Angptl17) and lipocalin-2 (Lcn2) in ECs; matrix metalloproteinase 9 (Mmp13), secreted phosphoprotein 1 (Spp1), and collagen type II alpha 1 (Col2a1) in VSMCs; and kininogen 1 (Kng1), integrin alpha X (Itgax), and MAC-expressed gene 1 (Mpeg1) in MACs. Overall, this study firstly found BPS exposure could exacerbate mammalian AS and might also provide a theoretical basis for elucidating BPS and its analogues induced AS and related CVDs.

Exploring the mechanism of Zhengxintai Formula for the treatment of coronary heart disease based on network pharmacology

Zhengxintai Formula (ZXT) has shown good effects in the clinical treatment of coronary atherosclerotic heart disease (CHD). However, its potential molecular mechanism for treating coronary heart disease is still unknown. The Traditional Chinese Medicine Systematic Pharmacology Database and Analysis Platform and literature reviews were used to determine the active components and targets of the 6 herbs used in ZXT. Next, we searched disease target databases for targets associated with CHD. Secondly, Cytoscape was used to map the "active compounds-target" network, "protein-protein interaction" network, and "compound-target-disease" network. After that, gene ontology analysis and the pathway analysis by the Kyoto Encyclopedia of Genes and Genomes were performed on the targets. Finally, molecular docking between the compounds and the targets was performed to verify their binding ability. The analysis obtained 116 active compounds of ZXT, corresponding to 611 targets. Thousand three hundred forty-five coronary heart disease targets were collected. Obtained 177 potential ZXT targets for coronary artery disease. Gene ontology analysis yielded 734 biological process entries, 84 cellular component entries, and 122 molecular function entries. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed the key pathways such as "Fluid shear stress and atherosclerosis," "Lipid and atherosclerosis", and "PI3K-Akt signaling pathway." The molecular docking results showed good binding between each screened core target and the core components. ZXT fulfills its role in the treatment of CHD through the core components and core targets that have been screened out, but the exact process still needs to be further investigated.

Burden of non-communicable diseases in China and its provinces, 1990-2021: Results from the Global Burden of Disease Study 2021

BACKGROUND

Non-communicable diseases (NCDs) are the primary causes of disability and death. The aim of this study is to analyze the disease burden of NCDs in China from 1990 to 2021.

METHODS

This study used data on NCDs in China and its provinces from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. The study analyzed the disease burden of NCDs in 2021 and its changes from 1990 to 2021 using indicators including deaths and disability-adjusted life years (DALYs).

RESULTS

Between 1990 and 2021, the NCD burden in China exhibited an upward trend. In 2021, China had 10.6 (95% uncertainty interval [UI]: 9.0-12.2) million deaths and 349.3 (95% UI: 301.5-401.2) million DALYs due to NCDs, accounting for 91.0% (95% UI: 90.4-91.7%) of all deaths and 86.7% (95% UI: 86.0-87.4%) of all DALYs. NCDs caused a lower disease burden in females than in males. Cardiovascular diseases and neoplasms were the main NCD level 2 causes of deaths and DALYs, resulting in 5.1 (95% UI: 4.3-5.9) and 2.8 (95% UI: 2.3-3.4) million deaths and 100.2 (95% UI: 84.6-116.6) million and 71.2 (95% UI: 59.3-85.2) million DALYs in 2021, respectively. Chronic respiratory diseases were the third leading cause of NCD deaths, while musculoskeletal disorders were the third leading cause of NCD DALYs. Qinghai, Xizang, and Heilongjiang had the highest age-standardized mortality rates and age-standardized DALY rates (per 100,000) for NCDs, while Hong Kong Special Administration Region (SAR), Macao SAR, and Shanghai recorded the lowest age-standardized mortality rates and age-standardized DALY rates.

CONCLUSIONS

NCDs caused a high disease burden in China and exhibited heterogeneity across sexes and provinces. China needs to focus on addressing key NCDs and implement intervention measures tailored to the disease distribution characteristics to reduce the NCD burden.

Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework

OBJECTIVE

Early diagnosis of cardiovascular diseases is a crucial task in medical practice. With the application of computer audition in the healthcare field, artificial intelligence (AI) has been applied to clinical non-invasive intelligent auscultation of heart sounds to provide rapid and effective pre-screening. However, AI models generally require large amounts of data which may cause privacy issues. Unfortunately, it is difficult to collect large amounts of healthcare data from a single centre.

METHODS

In this study, we propose federated learning (FL) optimisation strategies for the practical application in multi-centre institutional heart sound databases. The horizontal FL is mainly employed to tackle the privacy problem by aligning the feature spaces of FL participating institutions without information leakage. In addition, techniques based on deep learning have poor interpretability due to their "black-box" property, which limits the feasibility of AI in real medical data. To this end, vertical FL is utilised to address the issues of model interpretability and data scarcity.

CONCLUSION

Experimental results demonstrate that, the proposed FL framework can achieve good performance for heart sound abnormality detection by taking the personal privacy protection into account. Moreover, using the federated feature space is beneficial to balance the interpretability of the vertical FL and the privacy of the data.

SIGNIFICANCE

This work realises the potential of FL from research to clinical practice, and is expected to have extensive application in the federated smart medical system.

Association Between Overweight/Obesity Metabolic Phenotypes Defined by Two Criteria of Metabolic Abnormality and Cardiovascular Diseases: A Cross-Sectional Analysis in a Chinese Population

OBJECTIVES

Obesity/overweight and metabolic anomalies are known to be associated with elevated cardiovascular disease (CVD) risk. However, there is a paucity of research exploring the association between different body weights, varying metabolic statuses, and the occurrence of CVD in the Chinese population. Thus, we performed this study to explore the relation between different metabolic overweight/obesity phenotypes and the prevalence of CVD.

METHODS

We analyzed data from 9075 participants in the Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal (REACTION) study. Participants were classified into four metabolic phenotypes based on their metabolic status and obesity/overweight status. Regression analysis was used to evaluate the relationship between CVD and different groups. Additionally, we conducted a subgroup analysis to further explore the relationship between CVD and different metabolic abnormalities.

RESULTS

Compared to metabolically healthy non-overweight/obesity (MHNO) individuals, both overweight/obesity and metabolic anomalies were positively associated with CVD prevalence. Among other metabolically unhealthy and overweight/obesity phenotypes, metabolically healthy overweight/obesity (MHO) generally exhibited a comparatively lower association with CVD. In the elderly, high waist circumference was significantly associated with CVD, rather than body weight. Further analysis revealed that hypertension had the strongest association with CVD.

CONCLUSION

Elderly individuals should place more emphasis on managing their waist circumference rather than only on BMI. CVD prevention should focus on both body weight management and treatment of metabolic diseases, with particular emphasis on antihypertensive therapy.