Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease.

Background: Erectile Dysfunction (ED) is a common sexual dysfunction in men who are unable to consistently obtain and maintain sufficient penile erection to accomplish a satisfactory sexual life. ED is currently considered to be a predictor of cardiovascular disease (CVD), but few studies have observed the association between ED and clinical features of coronary heart disease (CHD). An investigation of the association between ED and clinical characteristics of CHD was carried out using a cross-sectional study design. Methods: This cross-sectional single-center study was conducted in the Department of Cardiology and included 248 patients. Associations between patients' general information, underlying disease information, coronary heart disease information, and ED severity were statistically and analytically analyzed using SPSS 26.0 software. Patients with comparable clinical characteristics were grouped together using K-means clustering. Finally, ordered logistic regression analysis was performed for general and underlying disease information. Results: In the comparison of general data, age, education, and weekly exercise were associated with the distribution of ED severity. In the comparison of underlying disease information, the number of underlying diseases, hypertension, diabetes, hyperlipidemia, anxiety state, and depressive state were associated with the distribution of ED severity. In the comparison of CHD information, the degree of ED severity was associated with CHD subtypes, lesion sites, number of stenoses, degree of stenosis, and interventional interventions. The time from ED to CHD onset was associated with the subtypes of CHD and the number of stenoses. We clustered the main characteristics of low-risk and high-risk patients and ordered logistic regression analysis found that BMI, smoking, alcoholism, number of underlying diseases, diabetes, anxiety state, and depression state were all risk factors for CHD severity (P < 0.05); the higher the value of the above factors, the more severe the degree of CHD. Age was a protective factor for CHD severity; the younger the patient, the lower the likelihood of myocardial infarction. Conclusion: ED severity and the time from ED to CHD onset may be predictive of coronary heart disease severity. Reducing smoking and alcohol consumption, maintaining a healthy body weight, and regular physical activity are important in preventing CVD in ED patients.

Study on the Interaction Between C3 Gene Polymorphism and Environment in Patients with Type 2 Diabetes Combined with Coronary Artery Disease.

Objective: This study was conducted to investigate the combined effect of genetic variation in the C3 gene and environmental factors on the risk of type 2 diabetes mellitus(T2DM) and coronary artery disease(CAD) in a population from Xinjiang, China. Methods: We conducted a hospital-based case-control study with 896 participants (217 with T2DM+CAD and 679 healthy controls). A polymerase chain reaction-ligase detection reaction was used to identify and genotype TagSNPs in the C3 gene, and the influence of the interaction of two SNP loci (rs1047286 and rs11569562) with the environment on T2DM combined with CAD was evaluated through clinical data, statistical analysis of gene frequencies, and the formation of a gene-environment interaction model. Results: We find that rs11569562 GG is an independent protective factor for T2DM and CAD (OR=0.353, p=0.012), and the variants at its locus may be closely associated with Activated Partial Thromboplastin Time (APTT), lipoprotein a (Lp(a)), Apolipoprotein A (APOA), Aspartate Aminotransferase (AST), Aspartate Aminotransferase (ALT) and AST/ALT levels (all P < 0.05); its GG genotype has significantly lower Gensini score and number of stenoses than the GA and AA genotypes. Multifactorial dimensionality reduction (MDR) finds a strong correlation between rs11569562 and AST (antagonistic effect) (4.44%); the role of rs11569562's influence remains strong in terms of the independent effects of each attribute (1.72%). Conclusions: In this study, we find that variants in the C3 gene loci rs11569562 are associated with the incidence of type 2 diabetes mellitus combined with coronary heart disease in a Chinese population. It is expected to be an independent predictor of type 2 diabetes mellitus combined with coronary heart disease in the Chinese population. Rs11569562 may be associated with lipid levels and coagulation molecules. Clinical Trial Registration: This trial registered on in 2014 at the China Clinical Trials Registry (ChiCTR-TRC-14005114).

The secondary prevention of coronary heart disease in US adults 75 Years and older in daily practice: Results from the National Health and Nutrition Examination Survey 1999-2018 survey.

Background: Pharmacologic therapies, risk factor control, and lifestyle alterations were independently proven to reduce long-term cardiovascular events. However, comprehensive research examining the extent to which individuals aged 75 and above in the United States adhere to national guidelines for the secondary prevention of coronary heart disease is limited. Therefore, the primary objective of this study was to examine the current state of secondary prevention of coronary heart disease in persons 75 years of age and older in the United States and to examine the factors that contribute to inadequate drug utilization and poor control of numerous risk factors. Methods: We identified patients over 75 years of age with coronary heart disease based on the National Health and Nutrition Examination Survey from 1999 to 2018 and analyzed the adequacy of risk factor control and adherence to lifestyle and medication recommendations to assess the effectiveness of coronary heart disease management. Logistic regression analysis was used to identify factors associated with uncontrolled risk factors or noncompliance with recommended medications. Results: We collected information from 1566 known coronary heart disease patients aged ≥75 years of age. The majority were at target goals for blood pressure (58.88%), low-density lipoprotein cholesterol (66.85%), and glycated hemoglobin (76.12%). Only 27.8% and 36.06% were at targets for body mass index and waist circumference, respectively. 91.95% reported smoking cessation, 85.98% followed recommended alcohol consumption, whereas only 10.34% reported sufficient physical activity. For ß blockers, angiotensin -converting enzyme inhibitors/angiotensin receptor blockers, statins, and antiplatelet drugs, the utilization of indicated therapy was 54.41%, 49.36%, 54.79%, and 19.03%, respectively (6.26% for all 4 medications). The results of the logistic regression analysis demonstrated that diabetes mellitus and metabolic syndrome were critical markers of numerous uncontrolled risk variables as well as noncompliance with medication regimens. Conclusions: A vast majority of coronary heart disease patients ≥75 years in the USA exhibited suboptimal overall control of critical coronary heart disease risk factors. For this patient population, more knowledge is necessary to enable patients to receive continuous support, guidance, and counseling.

Association between periodontal disease and coronary heart disease: A bibliometric analysis.

Background: Periodontal disease and coronary heart disease are both prevalent diseases worldwide and cause patients physical and mental suffering and a global burden. Recent studies have suggested a link between periodontal disease and coronary heart disease, but there is less research in this field from the perspective of bibliometrics. Objective: This study aimed to quantitatively analyze the literature on periodontal disease and coronary heart disease to summarize intellectual bases, research hotspots, and emerging trends and pave the way for future research. Methods: The Science Citation Index Expanded database was used to retrieve study records on periodontal disease and coronary heart disease from 1993 to 2022. After manual screening, the data were used for cooperative network analysis (including countries/regions, institutions and authors), keyword analysis, and reference co-citation analysis by CiteSpace software. Microsoft Excel 2019 was applied for curve fitting of annual trend in publications and citations. Results: A total of 580 studies were included in the analysis. The number of publications and citations in this field has shown an upward trend over the past 30 years. There was less direct collaboration among authors and institutions in this field but closer collaboration between countries. The United States was the country with the most published articles in this field (169/580, 29.14%). Based on the results of keyword analysis and literature co-citation analysis, C-reactive protein, oral flora, atherosclerosis, infection, and inflammation were previous research hotspots, while global burden and cardiovascular outcomes were considered emerging trends in this field. Conclusion: Studies on periodontal disease and coronary heart disease, which have attracted the attention of an increasing number of researchers, have been successfully analyzed using bibliometrics and visualization techniques. This paper will help scholars better understand the dynamic evolution of periodontal disease and coronary heart disease and point out the direction for future research. Clinical significance: This paper presents an overview between periodontal disease and coronary heart disease. Further exploration of the two diseases themselves and the potential causal relationship between the two is necessary and relevant, which may impact basic research, diagnosis, and treatment related to both diseases. This will aid the work of researchers and specialist doctors, and ultimately benefit patients with both diseases.

The association of TNF-alpha secretion and mtDNA copy number in CD14+ monocytes of patients with obesity and CHD.

Introduction: Mitochondrial dysfunction may be one of the causes of inflammatory activation of monocytes and macrophages, which leads to excessive secretion of inflammatory mediators and the development of chronic inflammation. Aims: The study was aimed to evaluate the secretion of inflammatory cytokine tumor necrosis factor-α (TNF-α) in the primary culture of monocytes, and to analyze its relationship with the number of mitochondrial DNA (mtDNA) copies in the blood of patients with coronary heart disease (CHD) and obesity. Materials and methods: 108 patients with obesity and concomitant CHD and a control group of 25 participants were included in the study. CD14+ monocytes were isolated by a standard method in a ficoll-urographin gradient, followed by separation using magnetic particles. The number of mtDNA copies was estimated using qPCR. Results: It was demonstrated that the number of mtDNA copies was significantly increased in groups of patients with CHD and obesity + CHD in comparison with control group. mtDNA copy number positively correlated with basal and LPS-stimulated TNF-α secretion, the most significant correlation was found in the group of patients with CHD and obesity. Conclusion: Thus, the change in mtDNA copy number in CD14+ monocytes which indicates the presence of mitochondrial dysfunction, confirm the direct involvement of mitochondria in the violation of the inflammatory response of monocytes revealed in this study as an increased secretion of inflammatory cytokine TNF-α.

Key chromatin regulator-related genes associated with the risk of coronary artery disease regulate the expression of HCFC1, RNF8, TNP1 and SET.

Chromatin regulators are indispensable upstream epigenetic regulators.The emergence and progression of atherosclerosis has been demonstrated to be influenced by smooth muscle-related chromatin regulators, such as ZEB2 and MAFF. However, specific chromatin regulators and their possible roles have not been clarified. Information was gathered from 51 patients diagnosed with coronary artery disease (CAD) and 50 individuals in good health from the GEO database. 440 genes were identified as having differential expression across the two datasets, and these genes were linked to cellular reactions. Enrichment of pathways related to histone modification and transcriptional regulatory factors was observed in GO and KEGG analyses. Four machine learning models (RF, SVM, GLM, and XGB) were developed using the expression profiles of 440 chromatin-associated genes in the CAD cohort to pinpoint genes with significant diagnostic potential. After evaluating residuals, root mean square errors, receiver operating characteristic curves, and immune-infiltration, four key genes (HCFC1, RNF8, TNP1, and SET) were identified. Gene expression in different blood vessel levels in atherosclerotic plaques in a mouse model of coronary artery disease showed significant variations. The gene expression levels in macrophages aligned with clinical data from the GEO database as expected. This discovery is crucial for future analysis and the prediction of drug and miRNA targets. In conclusion, we found that the four hub genes are important in the mechanism of CAD. These findings provide new ideas for the study of potential epigenetic predictive markers and therapeutic targets to be used in determining a treatment strategy for CAD.

Circulating microRNA-33b levels are associated with the presence and severity of coronary heart disease.

MicroRNA-33b (miR-33b) affected various biological pathways in regulating cholesterol homeostasis which may link to the pathogenesis of atherosclerotic lesions. However, whether this marker is associated with the presence and severity of coronary heart disease (CHD) is undetermined. We aim to explore the diagnostic value of circulating miR-33b level in the presence and severity of CHD. Altogether 320 patients were enrolled, including 240 patients diagnosed with CHD while 80 were classified as controls after CAG examination. Circulating miR-33b level was analyzed in all subjects, the Gensini score was calculated to assess the severity of stenotic lesions. The association between miR-33b and the presence and severity of CHD was analyzed, and the diagnostic potential of miR-33b of CHD was performed by the receiver operating characteristic (ROC) analysis. The CHD group had higher miR-33b levels (p < 0.001), and the miR-33b content significantly elevated following an increasing Gensini score (p for trend < 0.001). After adjustments for potential risk factors, such as several blood lipid markers, miR-33b remained a significant determinant for CHD (p < 0.001). ROC analysis disclosed that the AUC was 0.931. The optimal cutoff value of miR-33b was with a sensitivity of 81.3% and a specificity of 98.7% in differentiating CHD. It can prognosticate that the higher level of miR-33b was linked to increased severity of disease in CHD patients. Thus, the application of this marker might assist in the diagnosis and classification of CHD patients. Nevertheless, additional studies with larger sample sizes will be required to verify these results.

[High performance liquid chromatography combined with the 2,2'-dithiodipyridine derivatization reaction for determination of different types of free thiols in human serum and analysis of their relationship with coronary heart disease].

Oxidative stress, which is characterized by an imbalance between antioxidants and free radicals, plays a pivotal role in the pathogenesis of coronary heart disease, a common and serious cardiovascular condition, and contributes significantly to its development and progression. Serum free thiols are crucial components of the body's antioxidant defense system. The accurate determination of serum free thiol levels provides a reference basis for understanding the body's status and monitoring the risk factors associated with the occurrence and progression of coronary heart disease. In this study, a high performance liquid chromatographic (HPLC) method based on the derivatization reaction of 2,2'-dithiodipyridine was developed to simultaneously obtain the concentrations of total free thiols (Total-SH), low-molecular-mass free thiols (LMM-SH), and protein-free thiols (P-SH) in human serum. An Agilent Eclipse XDB-C18 column (150 mm×4.6 mm, 5 µm) was used for the analysis, and gradient elution was performed at a flow rate of 1 mL/min. A 0.1% formic acid aqueous solution was used as mobile phase A, and a 0.1% formic acid acetonitrile solution was used as mobile phase B. The gradient elution program was as follows: 0-0.1 min, 12%B-30%B; 0.1-2 min, 30%B; 2-2.1 min, 30%B-100%B; 2.1-6 min, 100%B; 6-6.1 min, 100%B-12%B; 6.1-7 min, 12%B. Well-separated peaks appeared after a run time of 5 min. The peak of 2-thiopyridone represented the Total-SH content of the samples, and the peak of the pyridyldithio derivative represented the LMM-SH content. The difference between these two peaks indicated the P-SH content. The derivatization reaction conditions were optimized, and the method was validated. The method demonstrated good linearity, with a correlation coefficient ≥0.9994, over the concentration range of 31.25-1000 µmol/L. The limits of detection for Total-SH and LMM-SH were 2.61 and 0.50 µmol/L, and the limits of quantification for Total-SH and LMM-SH were 8.71 and 1.67 µmol/L, respectively. The recoveries of Total-SH and LMM-SH were in the range of 91.1%-106.0%. The intra- and inter-day precisions ranged from 0.4% to 9.1%. The developed method was used to analyze serum samples from 714 volunteers. The Total-SH concentrations ranged from 376.60 to 781.12 µmol/L, with an average concentration of 555.62 µmol/L. The LMM-SH concentrations varied from 36.37 to 231.65 µmol/L,with an average of 82.34 µmol/L. The P-SH concentrations ranged from 288.36 to 687.74 µmol/L, with an average of 473.27 µmol/L. Spearman's correlation test showed that serum thiol levels were correlated with the severity of coronary artery disease and common clinical biochemical indicators. The proposed study provides a simple and reliable HPLC method for detecting serum free thiols and exploring their relationship with coronary heart disease, offering a new reference for the study of markers related to the risk of coronary heart disease.

Salt intake across the hypertension care cascade in the Bangladeshi adult population: a nationally representative cross-sectional study.

OBJECTIVES: This study aimed to examine the distribution of daily salt intake across the hypertension care cascade and assess the proportional distribution of these care cascade categories across various salt consumption level. DESIGN: A population-based national cross-sectional study. SETTINGS: Data from the Bangladesh STEPS 2018 survey were used, encompassing both urban and rural strata within all eight divisions. National estimates were generated from weighted data. PARTICIPANTS: A diverse population of 6754 men and women aged 18-69 years was included in the study. OUTCOME MEASURES: Daily salt consumption was estimated using the spot urine sodium concentration following Tanaka equation. Distribution of salt intake among different categories of hypertension care cascade, including hypertensives, aware of hypertension status, on treatment and under control, was assessed. RESULTS: Individuals with hypertension consume more salt on average (9.18 g/day, 95% CI 9.02 to 9.33) than those without hypertension (8.95 g/day, 95% CI 8.84 to 9.05) (p<0.02). No significant differences were found in salt intake when comparing aware versus unaware, treated versus untreated and controlled versus uncontrolled hypertension. In the overall population, 2.7% (95% CI 2.1% to 3.6%) of individuals without hypertension adhered to the recommended salt intake (<5 g/day) while 1.6% (95% CI 1.0% to 2.4%) with hypertension did so (p<0.03). Among individuals with hypertension, 2.4% (95% CI 1.4% to 4.0%) of those aware followed the guideline while only 0.8% (95% CI 0.4% to 1.9%) of those unaware adhered (p<0.03). Additionally, no significant differences were observed in adherence between the treated versus untreated and controlled versus uncontrolled hypertension. CONCLUSIONS: Individuals with hypertension consume significantly more salt than those without, with no significant variations in salt intake based on aware, treated and controlled hypertension. Adhering to WHO salt intake guidelines aids better blood pressure management. By addressing salt consumption across hypertension care cascade, substantial progress can be made in better blood pressure control.

[Retrospective cross-sectional survey of clinical characteristics and syndrome elements distribution at different stages of coronary heart disease].

The clinical data of coronary heart disease(CHD) patients treated in the First Affiliated Hospital of Guangzhou University of Chinese Medicine and Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine from January 2022 to March 2023 were retrospectively collected. This study involved the descriptive analysis of demographic characteristics, clinical symptoms, and tongue and pulse features. The χ~2 test was conducted to analyze the distribution of syndrome elements and their combinations at diffe-rent stages of CHD, so as to reveal the clinical characteristics and syndrome patterns at various pathological stages of CHD. This study extracted 28 symptom entries, 10 tongue manifestation entries, and 7 pulse manifestation entries, summarized the 5 main disease locations of the heart, lung, liver, spleen, and kidney, and the 8 main disease natures of blood stasis, phlegm turbidity, Qi stagnation, heat(fire), fluid retention, Qi deficiency, Yin deficiency, and Yang deficiency and 8 combinations of disease natures. The χ~2 test showed significant differences in the distribution of syndrome elements including the lung, liver, spleen, kidney, blood stasis, heat(fire), Qi stagnation, heat syndrome, water retention, Qi deficiency, Yin deficiency, and Yang deficiency between different disease stages. Specifically, the liver, blood stasis, heat(fire), and Qi stagnation accounted for the highest proportion during unstable stage, and the lung, spleen, kidney, water retention, Qi deficiency, Yin deficiency, and Yang deficiency accounted for the highest proportion at the end stage. The distribution of Qi deficiency varied in the different time periods after percutaneous coronary intervention(PCI). As shown by the χ~2 test of the syndrome elements combination, the distribution of single disease location, multiple disease locations, single disease nature, double disease natures, multiple natures, excess syndrome, and mixture of deficiency and excess varied significantly at different stages of CHD. Specifically, single disease location, single disease nature, and excess syndrome accounted for the highest proportion during the stable stage, and double disease natures accounted for the highest proportion during the unstable stage. Multiple disease locations, multiple disease natures, and mixture of deficiency and excess accounted for the highest proportion during the end stage. In conclusion, phlegm turbidity and blood stasis were equally serious during the stable stage, and a pathological mechanism caused by blood stasis and toxin existed during the unstable stage. The overall Qi deficiency worsened after PCI, and the end stage was accompanied by the Yin and Yang damage and the aggravation of water retention. There were significant differences in the distribution of clinical characteristics and syndrome elements at different stages of CHD. The pathological process of CHD witnessed the growth and decline of deficiency and excess and the combination of phlegm turbidity and blood stasis, which constituted the basic pathogenesis.

Oral-gut microbial transmission promotes diabetic coronary heart disease.

BACKGROUND: Diabetes is a predominant driver of coronary artery disease worldwide. This study aims to unravel the distinct characteristics of oral and gut microbiota in diabetic coronary heart disease (DCHD). Simultaneously, we aim to establish a causal link between the diabetes-driven oral-gut microbiota axis and increased susceptibility to diabetic myocardial ischemia-reperfusion injury (MIRI). METHODS: We comprehensively investigated the microbial landscape in the oral and gut microbiota in DCHD using a discovery cohort (n = 183) and a validation chohort (n = 68). Systematically obtained oral (tongue-coating) and fecal specimens were subjected to metagenomic sequencing and qPCR analysis, respectively, to holistically characterize the microbial consortia. Next, we induced diabetic MIRI by administering streptozotocin to C57BL/6 mice and subsequently investigated the potential mechanisms of the oral-gut microbiota axis through antibiotic pre-treatment followed by gavage with specific bacterial strains (Fusobacterium nucleatum or fecal microbiota from DCHD patients) to C57BL/6 mice. RESULTS: Specific microbial signatures such as oral Fusobacterium nucleatum and gut Lactobacillus, Eubacterium, and Roseburia faecis, were identified as potential microbial biomarkers in DCHD. We further validated that oral Fusobacterium nucleatum and gut Lactobacillus are increased in DCHD patients, with a positive correlation between the two. Experimental evidence revealed that in hyperglycemic mice, augmented Fusobacterium nucleatum levels in the oral cavity were accompanied by an imbalance in the oral-gut axis, characterized by an increased coexistence of Fusobacterium nucleatum and Lactobacillus, along with elevated cardiac miRNA-21 and a greater extent of myocardial damage indicated by TTC, HE, TUNEL staining, all of which contributed to exacerbated MIRI. CONCLUSION: Our findings not only uncover dysregulation of the oral-gut microbiota axis in diabetes patients but also highlight the pivotal intermediary role of the increased abundance of oral F. nucleatum and gut Lactobacillus in exacerbating MIRI. Targeting the oral-gut microbiota axis emerges as a potent strategy for preventing and treating DCHD. Oral-gut microbial transmission constitutes an intermediate mechanism by which diabetes influences myocardial injury, offering new insights into preventing acute events in diabetic patients with coronary heart disease.

Characteristics of Postoperative Heart Failure in Older Hip Fractures Patients Combined with Coronary Heart Disease and Construction of a Prediction Model of Nomogram, a Retrospective Cohort Study.

Introduction: Older patients combined with coronary heart disease (CHD) develop acute heart failure (AHF) after hip fracture surgery is common, and this study aimed to investigate the risk factors of postoperative AHF in older hip fracture patients and to construct a nomogram prediction model. Methods: We retrospectively collected older hip fracture patients with CHD who underwent hip fracture surgery at the Third Hospital of Hebei Medical University from January 2017 to December 2021. We divided them into a training set and a validation set. We collected the demographic data, laboratory indicators and imaging examination results. We identified risk factors for postoperative AHF and used R language software to establish a nomogram prediction model, plot ROC curves, calibration curves and DCA decision curves. Results: We retrospectively collected 1288 older hip fractures patients with CHD. After excluding 214 patients who did not meet the criteria, 1074 patients were included in our research and we divided them into the training set and the validation set. In the training set, a total of 346 (42.8%) patients developing postoperative AHF. Through univariate and multivariate logistic regression analysis, we identified the risk factors for postoperative AHF and constructed a nomogram prediction model. The AUC of the prediction model is 0.778. The correction curve shows that the model has good consistency. The decision curve analysis shows that the model has good clinical practicality. Conclusion: There were 42.8% older patients combined with CHD develop postoperative AHF. Among them, fracture type, age, anemia at admission, combined with COPD, ASA ≥ 3, and preoperative waiting time >3 days are risk factors for postoperative AHF. We constructed a nomogram prediction model that can effectively predict the risk of postoperative AHF in older hip fracture patients combined with CHD.

Polygenic risk and incident coronary heart disease in a large multiethnic cohort.

Objective: Many studies support the notion that polygenic risk scores (PRS) improve risk prediction for coronary heart disease (CHD) beyond conventional risk factors. However, PRS are not yet considered risk-enhancing factor in guidelines. Our objective was to determine the predictive performance of a commercially available PRS (CARDIO inCode-Score®) compared with the Pooled Cohorts Equations (PCE) in a contemporary, multi-ethnic cohort. Methods: Participants (n = 63,070; 67 % female; 18 % non-European) without prior CHD were followed from 2007 through 12/31/2022. The association between the PRS and incident CHD was assessed using Cox regression adjusting for genetic ancestry and risk factors. Event rates were estimated by categories of PCE and by low/intermediate/high genetic risk within PCE categories; risk discrimination and net reclassification improvement (NRI) were also assessed. Results: There were 3,289 incident CHD events during 14 years of follow-up. Adjusted hazard ratio (aHR) for incident CHD per 1 SD increase in PRS was 1.18 (95 % CI:1.14-1.22), and the aHR for the upper vs lower quintile of the PRS was 1.66 (95 % CI:1.49-1.86). The association was consistent in both sexes, in European participants compared with all minority groups combined and was strongest in the first 5 years of follow-up. The increase in the C-statistic was 0.004 (0.747 vs. 0.751; p < 0.0001); the NRI was 2.4 (0.9-3.8) for the entire cohort and 9.7 (7.5-12.0) for intermediate PCE risk individuals. After incorporating high genetic risk, a further 10 percent of participants at borderline/intermediate PCE risk would be candidates for statin therapy. Conclusion: Inclusion of polygenic risk improved identification of primary prevention individuals who may benefit from more intensive risk factor modification.

The involvement of soluble epoxide hydrolase in the development of cardiovascular diseases through epoxyeicosatrienoic acids.

Arachidonic acid (AA) has three main metabolic pathways: the cycloxygenases (COXs) pathway, the lipoxygenases (LOXs) pathway, and the cytochrome P450s (CYPs) pathway. AA produces epoxyeicosatrienoic acids (EETs) through the CYPs pathway. EETs are very unstable in vivo and can be degraded in seconds to minutes. EETs have multiple degradation pathways, but are mainly degraded in the presence of soluble epoxide hydrolase (sEH). sEH is an enzyme of bifunctional nature, and current research focuses on the activity of its C-terminal epoxide hydrolase (sEH-H), which hydrolyzes the EETs to the corresponding inactive or low activity diol. Previous studies have reported that EETs have cardiovascular protective effects, and the activity of sEH-H plays a role by degrading EETs and inhibiting their protective effects. The activity of sEH-H plays a different role in different cells, such as inhibiting endothelial cell proliferation and migration, but promoting vascular smooth muscle cell proliferation and migration. Therefore, it is of interest whether the activity of sEH-H is involved in the initiation and progression of cardiovascular diseases by affecting the function of different cells through EETs.

Differential age-specific associations of LDL cholesterol and body mass index with coronary heart disease.

BACKGROUND AND AIMS: Low-density lipoprotein cholesterol (LDLc) and body mass index (BMI) are not always correlated and their relationship is probably dependent on age, indicating differential age-specific associations of these factors with health outcomes. We aim to discriminate the roles of LDLc and BMI in coronary heart disease (CHD) across different age groups. METHODS: This is a prospective cohort study of 368,274 participants aged 38-73 years and free of CHD at baseline. LDLc and BMI were measured at baseline, and incident CHD was the main outcome. Cox proportional hazards model and restricted cubic spline (RCS) regression were used to estimate hazard ratio (HR) and 95% confidence interval (CI) of exposure on CHD. RESULTS: After a mean of 12 years of follow-up, similar relationships of LDLc and BMI with CHD risk were observed in the overall population but in differential age-specific patterns. Across the age groups of <50, 50-54, 55-59, 60-64 and ≥ 65 years, the LDLc-CHD association diminished with the adjusted HRs decreasing from 1.35, 1.26, 1.19, 1.11 to 1.08; while no declining trend was found in BMI-CHD relationship with the adjusted HRs of 1.15, 1.11, 1.12, 1.13 and 1.15, respectively. The interaction and mediation between LDLc and BMI on CHD risk were more pronounced at young-age groups. LDLc-CHD but not BMI-CHD association was dependent on sex, metabolic syndrome and lipid-lowering drugs use. CONCLUSIONS: There were differential age-specific associations of LDLc and BMI with the risk of developing CHD, calling for future efforts to discriminate the age-different benefits from lipids management or weight control on the primary prevention for CHD.

Predictive performance of machine learning compared to statistical methods in time-to-event analysis of cardiovascular disease: a systematic review protocol.

BACKGROUND: Globally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD and are critical for estimating CVD risk. Machine learning (ML) methodologies have experienced significant advancements across numerous practical domains in recent years. Several ML and statistical models predicting CVD time-to-event outcomes have been developed. However, it is not known as to which of the two model types-ML and statistical models-have higher discrimination and calibration in this regard. Hence, this planned work aims to systematically review studies that compare ML with statistical methods in terms of their predictive abilities in the case of time-to-event data with censoring. METHODS: Original research articles published as prognostic prediction studies, which involved the development and/or validation of a prognostic model, within a peer-reviewed journal, using cohort or experimental design with at least a 12-month follow-up period will be systematically reviewed. The review process will adhere to the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. ETHICS AND DISSEMINATION: Ethical approval is not required for this review, as it will exclusively use data from published studies. The findings of this study will be published in an open-access journal and disseminated at scientific conferences. PROSPERO REGISTRATION NUMBER: CRD42023484178.

Network pharmacology analysis and experimental verification of the antithrombotic active compounds of trichosanthis pericarpium (Gualoupi) in treating coronary heart disease.

ETHNOPHARMACOLOGICAL RELEVANCE: Trichosanthis pericarpium (TP; Gualoupi, pericarps of Trichosanthes kirilowii Maxim) has been used in traditional Chinese medicine (TCM) to reduce heat, resolve phlegm, promote Qi, and clear chest congestion. It is also an essential herbal ingredient in the "Gualou Xiebai" formula first recorded by Zhang Zhongjing (from the Eastern Han Dynasty) in the famous TCM classic "Jin-Guì-Yào-Lüe" for treating chest impediments. According to its traditional description, Gualou Xiebai is indicated for symptoms of chest impediments, which correspond to coronary heart diseases (CHD). AIM OF THE STUDY: This study aimed to identify the antithrombotic compounds in Gualoupi for the treatment of CHD. MATERIALS AND METHODS: A CHD rat model was established with a combination of high-fat diet and isoproterenol hydrochloride (ISO) administration via subcutaneous multi-point injection in the back of the neck. This model was used to evaluate the antithrombotic effect of two mainstream cultivars of TP ("HaiShi GuaLou" and "WanLou") by analyzing the main components and their effects. Network pharmacology, molecular docking-based studies, and a zebrafish (Danio rerio) thrombosis model induced by phenylhydrazine was used to validate the antithrombosis components of TP. RESULTS: TP significantly reduced the body weight of the CHD rats, improved myocardial ischemia, and reduced collagen deposition and fibrosis around the infarcted tissue. It reduced thrombosis in a dose-dependent manner and significantly reduced inflammation and oxidative stress damage. Cynaroside, isoquercitrin, rutin, citrulline, and arginine were identified as candidate active TP compounds with antithrombotic effects. The key potential targets of TP in thrombosis treatment were initially identified by molecular docking-based analysis, which showed that the candidate active compounds have a strong binding affinity to the potential targets (protein kinase C alpha type [PKCα], protein kinase C beta type [PKCß], von Willebrand factor [vWF], and prostaglandin-endoperoxide synthase 1 [PTGS1], fibrinogen alpha [Fga], fibrinogen beta [Fgb], fibrinogen gamma [Fgg], coagulation factor II [F2], and coagulation factor VII [F7]). In addition, the candidate active compounds reduced thrombosis, improved oxidative stress damage, and down-regulated the expression of thrombosis-related genes (PKCα, PKCß, vWF, PTGS1, Fga, Fgb, Fgg, F2, and F7) in the zebrafish model. CONCLUSION: Cynaroside, isoquercitrin, rutin, citrulline, and arginine were identified as the active antithrombotic compounds of TP used to treat CHD. Mechanistically, the active compounds were found to be involved in oxidative stress injury, platelet activation pathway, and complement and coagulation cascade pathways.

Progress of uric acid in cardiovascular disease.

Due to the global prevalence of hyperuricemia (HUA), there is growing interest in research on uric acid (UA). HUA is a common condition that has various adverse consequences, including gout and kidney disease. However, recent studies have also implicated UA in the development of cardiovascular diseases (CVD) such as atrial fibrillation (AF) and coronary heart disease (CHD). Experimental and clinical research has extensively demonstrated the detrimental effects of elevated serum UA levels on cardiovascular health. Furthermore, serum UA levels have been identified as predictors of CVD outcomes following percutaneous coronary intervention (PCI) and catheter ablation. Additionally, the use of UA-lowering therapy holds important implications for the management of CVD. This review aims to consolidate the current evidence on the relationship between serum UA and CVD.

An innovative approach for assessing coronary artery lesions: Fusion of wrist pulse and photoplethysmography using a multi-sensor pulse diagnostic device.

Coronary heart disease (CHD) is a leading cause of mortality globally and poses a significant threat to public health. Coronary angiography (CAG) is a gold standard for the clinical diagnosis of CHD, but its invasiveness restricts its widespread application. In this study, we utilized a pulse diagnostic device equipped with pressure and photoelectric sensors to synchronously and non-invasively capture wrist pressure pulse waves and fingertip photoplethysmography (FPPG) of patients undergoing CAG. The extracted features were utilized in constructing random forest-based models to assessing the severity of coronary artery lesions. Notably, Model 3, incorporating both wrist pulse and FPPG features, surpassed Model 1 (solely utilizing wrist pulse features) and Model 2 (solely utilizing FPPG features). Model3 achieved an Accuracy, Precision, Recall, and F1-score of 78.79%, 78.69%, 78.79%, and 78.70%, respectively. Compared to Model1 and Model2, Model 3 exhibited improvements by 4.55%, 5.25%, 4.55%, and 5.12%, and 6.06%, 6.58%, 6.06%, and 6.54% respectively. This fusion of wrist pulse and FPPG features in Model 3 highlights the advantages of multi-source information fusion for model optimization. Additionally, this research provides invaluable insights into the novel development of diagnostic devices imbued with TCM principles and their potential in managing cardiovascular diseases.

Treatment patterns and adherence to lipid-lowering drugs during eight-year follow-up after a coronary heart disease event.

BACKGROUND AND AIMS: Proper prescription and high adherence to intensive lipid lowering drugs (LLD) in patients with coronary heart disease (CHD) are crucial and strongly recommended. The aim of this study is to investigate long-term treatment patterns and adherence to LLD following hospitalization for a CHD event. METHODS: Patients admitted to two Norwegian hospitals with a CHD event from 2011 to 2014 (N = 1094) attended clinical examination and completed a questionnaire, median 16 months later. Clinical data were linked to pharmacy dispensing data from 2010 to 2020. The proportions using high-intensity statin therapy (atorvastatin 40/80 mg or rosuvastatin 20/40 mg) and non-statin LLD after the CHD event were assessed. Adherence was evaluated by proportion of days covered (PDC) and gaps in treatment. RESULTS: Median age at hospitalization was 63 (IQR 12) years, 21 % were female. Altogether, 1054 patients (96 %) were discharged with a statin prescription, while treatment was dispensed in 85 % within the following 90 days. During median 8 (SD 2.5) years follow-up, the proportion using high-intensity statin therapy ranged 62-68 %, whereas the use of ezetimibe increased from 4 to 26 %. PDC <0.8 was found in 22 % of statin users and 26 % of ezetimibe users. The proportions with a treatment gap exceeding 180 days were 22 % for statins and 28 % for ezetimibe. Smoking at hospitalization and negative affectivity were significantly associated with reduced statin adherence, regardless of adherence measure. CONCLUSIONS: In this long-term follow-up of patients with CHD, less than 70 % used high-intensity statin therapy with only small changes over time, and only 25 % used additional treatment with ezetimibe. We identified factors associated with reduced statin adherence that may be target for interventions.