Coronary Atherosclerotic Heart Disease Research Articles

Triglyceride-glucose index predicts the prognosis of patients with ischemic cardiomyopathy

Abstract Objective A large number of studies have provided strong statistical evidence that the Triglyceride-glucose (TYG) index is associated with the development and prognosis of cardiovascular disease. However, little is known about the predictive value of TYG index for ischemic cardiomyopathy (ICM). This study aimed to investigate the predictive value of TYG index in patients with ICM. Methods Hospitalized patients ICM in our Hospital from April 2014 to December 2017 were included in this study. Inclusion criteria: previous definite diagnosis of coronary atherosclerotic heart disease (coronary angiography found one or more vessels stenosis > 50%) and echocardiography showed LVEF < 45 percent. In addition, the TYG index was calculated as follows :LN[fasting triglycerides (mg /dl)× fasting blood glucose (mg /dl)x1/2]. The endpoint of the study was MACE events, including all-cause death, myocardial infarction, ischemia-induced revascularization and heart failure (HF) rehospitalization. Results A total of 688 patients were included in this study and followed up for 1 year. In the multivariate Cox proportional hazards model, TYG index (adjusted HR 2.33 [95% CI: 1.30-4.20], P<0.01) were associated with an increased risk of MACE events, and the area under the ROC curve (AUC) was 0.604 (95%CI: 0.528-0.680, p <0.05). A total of 197 ICM patients with previously diagnosed diabetes were screened for analysis. We found that TYG index (adjusted HR 6.63 [95% CI: 2.15-20.47], P<0.01), and the AUC was 0.691 (95%CI: 0.562-0.820, p<0.05). Conclusion TYG index can predict the poor prognosis of ICM patients, and the predictive value of TyG index for ICM patients with diabetes is more significant.

Correlation of exercise blood pressure levels with concomitant cardiovascular disease.

Hypertension is a fatal but preventable risk factor for cardiovascular disease and an important cause of death from cardiovascular disease. Exercise training has a definite clinical effect on blood pressure control. However, inappropriate exercise is ineffective and may also cause disease. The aim of this study was to evaluate the possible factors influencing blood pressure level in an exercise treadmill test and its relationship with accompanying clinical diseases. Five hundred sixty-four patients who underwent exercise treadmill test were selected and divided into the abnormal exercise blood pressure group (n = 156, age 60.46 ± 9.2 years) and normal exercise blood pressure group (n = 408, age 56.57 ± 8.8 years) according to whether the peak exercise systolic blood pressure was more than or equal to 180 mm Hg. General clinical data and associated clinical diseases were collected from both groups. The prevalence of hypertension and coronary atherosclerotic heart disease in the abnormal exercise blood pressure group was significantly higher than that in the normal exercise blood pressure group (all P < .05). At the same time, the smoking rate and glycohemoglobin level of the patients with abnormal exercise blood pressure were significantly increased (all P < .05), but there was no statistically significant difference in age, sex, body mass index, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and other indicators between the 2 groups (all P > .05). Patients with abnormal exercise blood pressure response have a higher prevalence of hypertension and coronary heart disease. Exercise blood pressure level may be an important factor affecting patients' cardiovascular prognosis.

Recombinant Plasminogen Activator of the Sandworm (Perinereis aibuhitensis) Expression in Escherichia coli.

As an essential thrombolytic agent, the tissue plasminogen activator receives increasing attention due to its longer half-life, lower immunogenicity, and easier administration, which are superior to other thrombolytic agents. In this study, the isolated and purified plasminogen activator from the sandworm (Perinereis aibuhitensis) was expressed in E. coli (Escherichia coli) to investigate its potential for simplifying the development process. The sandworm plasminogen activator was previously successfully cloned and expressed in E. coli with low yield and activity in the culture supernatant. This low yield and activity prompted us to optimize its DNA sequence. Furthermore, to raise the efficiency in the separation of the target protein, the protein's solubility was enhanced by fusing it with maltose-binding protein (MBP) tags. Eventually, the fibrinolytic activity was successfully restored after digestion with tobacco etch virus (TEV) protease. This study provides an innovative method of efficiently expressing and purifying plasminogen activators from sandworm in E. coli and broadens its applications in therapeutic treatment of cardiovascular diseases, including thrombosis, stroke, and coronary atherosclerotic heart disease.

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.

Circ_0049979 ameliorates myocardial infarction through improving Cx43-mediated endothelial functions

Endothelial injury is a fundamental pathogenesis of coronary atherosclerotic heart disease (CHD). Circular RNAs (circRNAs) are important post-transcriptional regulators in many human major diseases, including CHD. The aim of the present study was to explore the role of circ_0049979, a novel identified circRNA from ANO8 gene locus, in endothelial injury during CHD. We found that expression of circ_0049979 was reduced by ox-LDL treatment in HUVECs in a dose-dependent manner. Loss- and gain-of-function experiments demonstrated that knockdown of circ_0049979 decreased the capacities of proliferation, migration and tube formation in normal HUVECs. While, overexpression of circ_0049979 improved these capacities in both normal and ox-LDL-incubated HUVECs. Then, the online bioinformatic tool Circinteractome was used to predicted the target miRNAs of circ_0049979, and miR-653 was selected as the candidate. We demonstrated that miR-653 directly interacted with and was negatively regulated by circ_0049979, and played a negative role in regulating proliferation, migration and tube formation of HUVECs. In terms of the mechanism, miR-653 post-transcriptionally suppressed the expression of the gap junction protein 43 (Cx43), a key protein of endothelial tight junction. Finally, we verified that overexpression of circ_0049979 was able to alleviate plaque formation, lipid deposition, and endothelial cell apoptosis, as well as myocardial infarction, in coronary atherosclerotic mice in vivo. In conclusion, circ_0049979 plays a protective role in coronary atherosclerotic myocardial infarction by improving miR-653/Cx43-mediated endothelial functions.

Application effect of task-oriented multi-dimensional nursing intervention in patients with coronary atherosclerotic heart disease and concurrent hypertension

Background: The purpose of this study was to explore the application effect of task-oriented multi-dimensional nursing interventionin patients with coronary atherosclerotic heart disease (CAD) and concurrent hypertension. Methodology: The clinical data of 196 patients with CAD and concurrent hypertension in our hospital between January 2019 and January 2022 were retrospectively analysed. The patients receiving task-oriented multi-dimensional nursing were set as study group (n=98), while those given routine nursing as control group (n=98). The two groups were compared in the Hamilton Anxiety Scale (HAMA) scores, left ventricular end-diastolic diameter (LVEDD), 36-Item Short Form Health Survey (SF-36) scores, left ventricular ejection fraction (LVEF), Hamilton Depression Scale (HAMD) scores, systolic blood pressure (SBP), treatment compliance and incidence rates of adverse events. Results: After intervention, study group showed lower HAMA and HAMD scores, SBP and LVEDD, but higher SF-36 scores and LVEF than control group (P&lt;0.05). The treatment compliance rate was higher in control group than that in study group (92.86% vs. 80.61%), while an opposite result was detected in the total incidence rate 5.10% vs. 13.27%, P&lt;0.05). Conclusion: Multidimensional nursing benefits CAD patients with hypertension, improving emotions, compliance, and quality of life, reducing adverse events, and promoting recovery. Recommended for clinical use. Keywords: Coronary atherosclerotic heart disease; task-oriented theory; multi-dimensional nursing care; clinical nursing.

Diagnostic and prognostic value of microRNA423-5p in patients with heart failure

ObjectivesMicroRNAs are considered as a class of potential biomarkers for HF. This study aimed to retrospectively evaluate the diagnostic and prognostic value of microRNA423-5p in patients with HF.MethodsThe observational group comprised 98 patients diagnosed with HF due to coronary atherosclerotic heart disease (n = 45), hypertension (n = 26), or cardiac valve insufficiency (n = 27). Conversely, the control group consisted of 30 healthy volunteers without any history of HF. These patients were further classified into heart function class II (n = 33), class III (n = 32), and class IV (n = 33) according to the NYHA classification. Of these patients, 33 were diagnosed with HF with mid-range ejection fraction (HFmrEF) and the remaining 65 with HF with reduced ejection fraction (HFrEF). The diagnostic and prognostic significance of microRNA423-5p in patients with HF was assessed through laboratory parameter assessments (microRNA423-5p and B-type natriuretic peptide test, BNP), cardiac ultrasound evaluations (left ventricular ejection fraction, LVEF), and subsequent follow-up assessments.ResultsIn this study, we found that patients with HF exhibited notably elevated levels of microRNA423-5p and BNP, as well as significantly lower LVEF values. A significant positive correlation between microRNA423-5p and BNP indicators was validated. In addition, our study also revealed an elevation in the level of microRNA423-5p correlating with the progression of the HF. The combined evaluation of LEVF, BNP, and microRNA423-5p demonstrated superior diagnostic efficacy in comparison to the solitary use of BNP.ConclusionsElevated levels of microRNA423-5p in the serum of patients with HF suggest its potential utility as a novel biomarker for both the diagnosis and prognosis of this condition.

C-Reactive Protein: An Important Inflammatory Marker of Coronary Atherosclerotic Disease.

Cardiovascular disease (CVD) is the most common cause of death worldwide, with coronary atherosclerotic heart disease (CHD) accounting for the majority of events. Evidence demonstrates that inflammation plays a vital role in the development of CHD. The association between C-reactive protein (CRP), a representative inflammatory biomarker, and atherosclerosis (AS), CHD, and inflammation has attracted attention. Therefore, we conducted an extensive search on PubMed using the aforementioned terms as search criteria and identified a total of 1246 articles published from January 2000 to April 2024. Both review and research-based articles consistently indicate CRP as a risk enhancer for CVD, contributing to the refinement of risk stratification and early identification of apparently healthy at-risk populations. Additionally, CRP reflects disease progression and predicts the prognosis of recurrent cardiovascular events. Anti-inflammatory therapeutic strategies targeting CRP also provide new treatment options for patients. This review focuses on the link between CRP and CHD, highlighting how CRP is involved in the pathological progression of AS and its potential value for clinical applications.

Establishment of precise prevention strategies for the occurrence and progression of coronary atherosclerotic heart disease using machine learning

BackgroundCoronary atherosclerotic heart disease (CHD) is highly prevalent in Northwest China; however, effective preventive measures are limited. This study aimed to develop metabolic risk models tailored for the primary and secondary prevention of CHD in Northwest China. MethodsThis hospital-based cross-sectional study included 744 patients who underwent coronary angiography. Data on demographic characteristics, comorbidities, and serum biochemical indices of the participants were collected. Three machine learning algorithms—recursive feature elimination, random forest, and least absolute shrinkage and selection operator—were employed to construct risk models. Model validation was performed using receiver operating characteristic and calibration curves, and the optimal cutoff values for significant risk factors were determined. ResultsThe predictive model for CHD onset included sex, overweight/obesity, and hemoglobin A1c (HbA1c) levels. For CHD progression to multiple coronary artery disease, the model included age, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and HbA1c levels. The model predicting an increased coronary Gensini score included sex, overweight/obesity, TC, LDL-C, high-density lipoprotein cholesterol, lipoprotein(a), and HbA1c levels. Notably, the optimal cutoff values for HbA1c and lipoprotein(a) for determining CHD progression were 6 % and 298 mg/L, respectively. ConclusionsRobust metabolic risk models were established, offering significant value for both the primary and secondary prevention of CHD in Northwest China. Weight loss, strict hyperglycemic control, and improvement in dyslipidemia may help prevent or delay the occurrence and progression of CHD in this region.

Predicting major adverse cardiac events using radiomics nomogram of pericoronary adipose tissue based on CCTA: A multi-center study.

The evolution of coronary atherosclerotic heart disease (CAD) is intricately linked to alterations in the pericoronary adipose tissue (PCAT). In recent epochs, characteristics of the PCAT have progressively ascended as focal points of research in CAD risk stratification and individualized clinical decision-making. Harnessing radiomic methodologies allows for the meticulous extraction of imaging features from these adipose deposits. Coupled with machine learning paradigms, we endeavor to establish predictive models for the onset of major adverse cardiovascular events (MACE). To appraise the predictive utility of radiomic features of PCAT derived from coronary computed tomography angiography (CCTA) in forecasting MACE. We retrospectively incorporated data from 314 suspected or confirmed CAD patients admitted to our institution from June 2019 to December 2022. An additional cohort of 242 patients from two external institutions was encompassed for external validation. The endpoint under consideration was the occurrence of MACE after a 1-year follow-up. MACE was delineated as cardiovascular mortality, newly diagnosed myocardial infarction, hospitalization (or re-hospitalization) for heart failure, and coronary target vessel revascularization occurring more than 30days post-CCTA examination. All enrolled patients underwent CCTA scanning. Radiomic features were meticulously extracted from the optimal diastolic phase axial slices of CCTA images. Feature reduction was achieved through a composite feature selection algorithm, laying the groundwork for the radiomic signature model. Both univariate and multivariate analyses were employed to assess clinical variables. A multifaceted logistic regression analysis facilitated the crafting of a clinical-radiological-radiomic combined model (or nomogram). Receiver operating characteristic (ROC) curves, calibration, and decision curve analyses (DCA) were delineated, with the area under the ROC curve (AUCs) computed to gauge the predictive prowess of the clinical model, radiomic model, and the synthesized ensemble. A total of 12 radiomic features closely associated with MACE were identified to establish the radiomic model. Multivariate logistic regression results demonstrated that smoking, age, hypertension, and dyslipidemia were significantly correlated with MACE. In the integrated nomogram, which amalgamated clinical, imaging, and radiomic parameters, the diagnostic performance was as follows: 0.970 AUC, 0.949 accuracy (ACC), 0.833 sensitivity (SEN), 0.981 specificity (SPE), 0.926 positive predictive value (PPV), and 0.955 negative predictive value (NPV). The calibration curve indicated a commendable concordance of the nomogram, and the decision curve analysis underscored its superior clinical utility. The integration of radiomic signatures from PCAT based on CCTA, clinical indices, and imaging parameters into a nomogram stands as a promising instrument for prognosticating MACE events.

A massive pulmonary arteriovenous fistula complicated with coronary atherosclerotic heart disease treated by interventional therapy: a case report

BackgroundPulmonary arteriovenous fistula (PAVF) is a rare disease, and its symptoms lack specificity. For patients with coronary heart disease(CHD), hypertension and other common cardiovascular diseases, PAVF is easy to be ignored. We presented a case of massive PAVF complicated with coronary atherosclerotic heart disease by interventional treatment to improve the understanding of this complex disease.Case presentationA 77-year-old female patient was admitted to the hospital due to chest tightness and shortness of breath following activities, which was diagnosed with CHD and hypoxemia in other hospitals. Coronary angiography showed that the patient had severe stenosis of coronary artery while pulmonary vascular DSA showing the patient had PAVF. After interventional therapy of both coronary artery and PAVF, the patient's symptoms were significantly improved.ConclusionWe presented a case of massive PAVF complicated with CHD by interventional treatment. For patients with unexplained hypoxemia and symptoms similar with CHD, the possibility of PAVF often leads to oversight, and various auxiliary examinations should be improved to avoid missed diagnosis. And intervention treatment should be carried out to improve the prognosis of patients as much as possible.

Molecular subtypes of ischemic heart disease based on circadian rhythm

Coronary atherosclerotic heart disease (CAD) is among the most prevalent chronic diseases globally. Circadian rhythm disruption (CRD) is closely associated with the progression of various diseases. However, the precise role of CRD in the development of CAD remains to be elucidated. The Circadian rhythm disruption score (CRDscore) was employed to quantitatively assess the level of CRD in CAD samples. Our investigation revealed a significant association between high CRDscore and adverse prognosis in CAD patients, along with a substantial correlation with CAD progression. Remarkably distinct CRDscore distributions were also identified among various subtypes. In summary, we have pioneered the revelation of the relationship between CRD and CAD at the single-cell level and established reliable markers for the development, treatment, and prognosis of CAD. A deeper understanding of these mechanisms may offer new possibilities for incorporating "the therapy of coronary heart disease based circadian rhythm" into personalized medical treatment regimens.

Impact of specialized nursing outpatient case management on post-coronary artery bypass grafting patients.

Some patients with coronary atherosclerotic heart disease experience major adverse cardiac events (MACE) and require readmission after Coronary Artery Bypass Grafting (CABG) surgery. This is often attributed to patients' unhealthy lifestyles and dietary habits, inadequate understanding of the disease, and poor disease management compliance. Thus, searching for more targeted nursing intervention models that can enhance patients' self-management abilities and reduce the risk of readmission after CABG surgery is significant. To observe the impact of specialized nursing outpatient case management on patients after CABG surgery. A total of 103 patients who underwent CABG surgery in our hospital between April 2021 and April 2022 comprised the study sample. The patients were divided into two groups using an odd-even number grouping method. The control group received routine nursing care, while the case management group received specialized nursing outpatient case management. The differences in psychological status, adherence to medical treatment, self-care ability, knowledge mastery, quality of life scores, and the occurrence rate of MACE were compared between the two groups. After the intervention, the case management group had lower scores on the self-rating depression scale and self-rating anxiety scale and lower MACE rate, as well as higher scores for adherence to a healthy diet, medication adherence, good lifestyle habits, regular exercise, and timely follow-up, higher scores on the Coronary Heart Disease Self-Management Scale, higher scores for managing adverse habits, symptoms, emotional cognition, emergency response, disease knowledge, general lifestyle, and treatment adherence, higher scores for understanding coronary heart disease, recognizing the importance of medication adherence, understanding self-care points after CABG surgery, and being aware of post-CABG precautions, higher scores for physical well-being, disease condition, general health, social-psychological well-being, and work-related aspects (P < 0.05). Specialized nursing outpatient case management can enhance patient adherence to medical treatment, knowledge mastery, psychological well-being, and overall quality of life in patients after CABG surgery.

Proteomics analysis of coronary atherosclerotic heart disease with different Traditional Chinese Medicine syndrome types before and after percutaneous coronary intervention.

To investigate the underlying protein molecular mechanisms of "Qi stagnation and blood stasis syndrome" (QS) and "Qi deficiency and blood stasis syndrome" (QD), as two subtypes of coronary artery disease (CAD) in Traditional Chinese Medicine (TCM), following percutaneous coronary intervention (PCI). In this study, a total of 227 CAD patients with QS and 211 CAD patients with QD were enrolled; all participants underwent PCI. Label-free quantification proteomics were employed to analyze the changes in serum in two subtypes of CAD patients before and 6 months after PCI, aiming to elucidate the intervention mechanism of PCI in treating CAD characterized by two different TCM syndromes. Biochemical analysis revealed significant changes in tumor necrosis factor-α, high density lipoprotein cholesterol, blood stasis clinical symptoms observation, and Gensini levels in both patient groups post-PCI; Proteomic analysis identified 79 and 95 differentially expressed proteins in the QS and QD patient groups, respectively, compared to their control groups. complement C8 alpha chain, complement factor H, apolipoprotein H, apolipoprotein B, plasminogen, carbonic anhydrase 2, and complement factor I were altered in both comparison groups. Furthermore, enrichment analysis demonstrated that cell adhesion and connectivity-related processes underwent changes in QS patients post-PCI, whereas lipid metabolism-related pathways, including the peroxisome proliferator-activated receptor signaling pathway and extracellular matrix receptor interaction, underwent changes in the QD group. The protein-protein interaction network analysis further enriched 52 node proteins, including apolipoprotein B, lipoprotein (a), complement C5, apolipoprotein A4, complement C8 alpha chain, complement C8 beta chain, complement C8 gamma chain, apolipoprotein H, apolipoprotein A-Ⅱ, albumin, complement C4-B, apolipoprotein C3, among others. The functional network of these proteins is posited to contribute to the pathophysiology of CAD characterized by TCM syndromes. The current quantitative proteomic study has preliminarily identified biomarkers of CAD in different TCM subtypes treated with PCI, potentially laying the groundwork for understanding the protein profiles associated with the treatment of various TCM subtypes of CAD.

Exploration of biomarkers of coronary atherosclerotic heart disease.

Exploration of biomarkers of coronary atherosclerotic heart disease.

PCSK9 induces endothelial cell autophagy by regulating the PI3K/ATK pathway in atherosclerotic coronary heart disease.

Atherosclerosis is a chronic inflammatory disease of the arteries, and its pathogenesis is related to endothelial dysfunction. It has been found that the protein convertase subtilin/kexin9 type (PCSK9) plays an important role in AS, but its specific mechanism is still unclear. In this study, we first cultured human umbilical vein endothelial cells (HUVECs) with 50 or 100μg/ml oxidized low-density lipoprotein (ox-LDL) for 24 hours to establish a coronary atherosclerosis cell model. The results showed that ox-LDL induced HUVEC injury and autophagy and upregulated PCSK9 protein expression in HUVECs in a concentration-dependent manner. Silencing PCSK9 expression with siRNA inhibited ox-LDL-induced HUVEC endothelial dysfunction, inhibited the release of inflammatory factors, promoted HUVEC proliferation and inhibited apoptosis. In addition, ox-LDL increased the expression of LC3B-I and LC3B-II and decreased the expression of p62. However, these processes are reversed by sh-PCSK9. In addition, sh-PCSK9 can inhibit PI3K, AKT and mTOR phosphorylation and promote autophagy. Taken together, our research shows that silencing PCSK9 inhibits the PI3K/ATK/mTOR pathway to activate ox-LDL-induced autophagy in vascular endothelial cells, alleviating endothelial cell injury and inflammation.

Machine learning models reveal the critical role of nighttime systolic blood pressure in predicting functional outcome for acute ischemic stroke after endovascular thrombectomy.

Blood pressure (BP) is a key factor for the clinical outcomes of acute ischemic stroke (AIS) receiving endovascular thrombectomy (EVT). However, the effect of the circadian pattern of BP on functional outcome is unclear. This multicenter, retrospective, observational study was conducted from 2016 to 2023 at three hospitals in China (ChiCTR2300077202). A total of 407 patients who underwent endovascular thrombectomy (EVT) and continuous 24-h BP monitoring were included. Two hundred forty-one cases from Beijing Hospital were allocated to the development group, while 166 cases from Peking University Shenzhen Hospital and Hainan General Hospital were used for external validation. Postoperative systolic BP (SBP) included daytime SBP, nighttime SBP, and 24-h average SBP. Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), Boruta were used to screen for potential features associated with functional dependence defined as 3-month modified Rankin scale (mRS) score ≥ 3. Nine algorithms were applied for model construction and evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. Three hundred twenty-eight of 407 (80.6%) patients achieved successful recanalization and 182 patients (44.7%) were functional independent. NIHSS at onset, modified cerebral infarction thrombolysis grade, atrial fibrillation, coronary atherosclerotic heart disease, hypertension were identified as prognostic factors by the intersection of three algorithms to construct the baseline model. Compared to daytime SBP and 24-h SBP models, the AUC of baseline + nighttime SBP showed the highest AUC in all algorithms. The XGboost model performed the best among all the algorithms. ROC results showed an AUC of 0.841 in the development set and an AUC of 0.752 in the validation set for the baseline plus nighttime SBP model, with a brier score of 0.198. This study firstly explored the association between circadian BP patterns with functional outcome for AIS. Nighttime SBP may provide more clinical information regarding the prognosis of patients with AIS after EVT.

Prediction model based on artificial intelligence for identifying risk of coronary atherosclerotic heart disease in computed tomography

ObjectiveTo analyze the application value of artificial intelligence (AI) in coronary computed tomography angiography (CCTA) image processing and diagnosis of coronary atherosclerotic heart disease (CHD). MethodsA total of 80 patients with suspected CHD in our hospital were selected for CCTA examination and blood lipid examination. The convolutional neural networks (CNN) model of coronary artery plaque detection was constructed, and the data set was randomly divided into training set and test set after pretreatment of lipid characteristics and image characteristics. The prediction efficiency and accuracy of the model were evaluated. ResultsIn the data set, the lipid indexes LDL-C, TC, and TG of patients in the CHD group were significantly higher than those in the Non-CHD group (P < 0.05). The average processing and diagnosis time of the AI model was (187.19 ± 18.79) s, which was significantly shorter than the average time of doctors (989.07 ± 50.40) s, and the difference was statistically significant (P < 0.05). There was no significant difference in the detection of calcified plaque, non-calcified plaque, and mixed plaque between doctors and AI models (P > 0.05). However, 5 plaques were misdiagnosed in the AI model (3.38%). The area under the curve (AUC) value of the CNN recognition model-based AI and manual recognition of doctors for the CHD were 0.870 (95% CI: 0.698–0.931) and 0.870 (95% CI: 0.691–0.926) (P < 0.001). ConclusionAI integrated with lipid parameters has certain clinical value in CCTA image processing efficiency and plaque diagnosis, and can be used as an effective auxiliary tool to analyze and diagnose CHD.

Jatropha curcas L. Leaf Extract Effects on Blood Pressure and Lipid Levels in Hypertensive Rats with High-Fat Diet

Background: One of the main risk factors for cardiovascular diseases such as coronary atherosclerotic heart disease (CAHD) is dyslipidaemia or high levels of low-density lipoprotein (LDL) and triglycerides (TG) and low levels of high-density lipoprotein (HDL). Hypertension is also a cause of cardiovascular disease. One potential plant to lower LDL levels and blood pressure is Jatropha curcas, which is known to contain saponins, polyphenols, and flavonoids. Objective: The purpose of this study was to determine the effect of the ethanol extract of Jatropha curcas leaves (EEJCL) on blood pressure, LDL levels, and HDL levels in hypertensive rats given a high-fat diet. Methods: This study is an experimental study with a pretest-posttest control group design on male Wistar strain rats. Rats were divided into seven groups, namely the normal group, control group (induced with NaCl and given a high-fat diet), Captopril group, Simvastatin group, and EEJCL groups given doses of 1.8, 2.7, and 4.05 g/kg BW. The data obtained were analysed using the One-Sample Kolmogorov-Smirnov Test, Homogeneity of Variance, One-Way ANOVA, and Tukey Test. Results: The results showed that the administration of EEJCL could significantly lower LDL levels and blood pressure and increase HDL levels (p &lt; 0.05) at doses of 1.8, 2.7, and 4.05 g/kg BW, and the dose of 4.05 g/KgBW was the most optimal dose. Conclusion: EEJCL has a potential for development in the treatment of hypertension and dyslipidaemia.

Role of cyclophilin A in aggravation of myocardial ischemia reperfusion injury via regulation of apoptosis mediated by thioredoxin-interacting protein.

The progression and persistence of myocardial ischemia/reperfusion injury (MI/RI) are strongly linked to local inflammatory responses and oxidative stress. Cyclophilin A (CypA), a pro-inflammatory factor, is involved in various cardiovascular diseases. However, the role and mechanism of action of CypA in MI/RI are still not fully understood. We used the Gene Expression Omnibus (GEO) database for bioinformatic analysis. We collected blood samples from patients and controls for detecting the levels of serum CypA using enzyme-linked immunosorbent assay (ELISA) kits. We then developed a myocardial ischemia/reperfusion (I/R) injury model in wild-type (WT) mice and Ppia-/- mice. We utilized echocardiography, hemodynamic measurements, hematoxylin and eosin (H&E) staining, immunohistochemistry, enzyme-linked immunosorbent assay, and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining to determine the role of CypA in myocardial I/R injury. Finally, we conducted an in vitrostudy, cell transfection, flow cytometry, RNA interference, and a co-immunoprecipitation assay to clarify the mechanism of CypA in aggravating cardiomyocyte apoptosis. We found that CypA inhibited TXNIP degradation to enhance oxidative stress-induced cardiomyocyte apoptosis during MI/RI. By comparing and analyzing CypA expression in patients with coronary atherosclerotic heart disease and in healthy controls, we found that CypA was upregulated in patients with Coronary Atmospheric Heart Disease, and its expression was positively correlated with Gensini scores. In addition, CypA deficiency decreased cytokine expression, oxidative stress, and cardiomyocyte apoptosis in I/R-treated mice, eventually alleviating cardiac dysfunction. CypA knockdown also reduced H2O2-induced apoptosis in H9c2 cells. Mechanistically, we found that CypA inhibited K48-linked ubiquitination mediated by atrophin-interacting protein 4 (AIP4) and proteasomal degradation of TXNIP, a thioredoxin-binding protein that mediates oxidative stress and induces apoptosis. These findings highlight the critical role CypA plays in myocardial injury caused by oxidative stress-induced apoptosis, indicating that CypA can be a viable biomarker and a therapeutic target candidate for MI/RI.