Cardiology Research and Practice最新文献

{"title":"The Pharmacological Mechanisms Underlying the Protective Effect of Ginsenoside Rg3 against Heart Failure.","authors":"Yanan Jia, Miao Gong, Zunping Ke","doi":"10.1155/2024/3373410","DOIUrl":"10.1155/2024/3373410","url":null,"abstract":"<p><strong>Background: </strong>Heart failure represents the terminal stage of various cardiovascular diseases. This study aims to explore the pharmacological mechanisms underlying the protective effect of Ginsenoside Rg3 against heart failure.</p><p><strong>Methods: </strong>Potential targets of Ginsenoside Rg3 were identified using SwissTargetPrediction and the Comparative Toxicogenomics Database, while heart failure-related genes were retrieved from the Comparative Toxicogenomics Database, Therapeutic Target Database, DisGeNET, and PharmGKB. Overlapping of Ginsenoside Rg3 targets with heart failure-related genes identified drug-disease interaction genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted on the drug-disease interaction genes to elucidate their biological functions. A protein-protein interaction network was constructed using the drug-disease interaction genes, and the hub genes were identified by topological analysis. Additionally, we validate the expression of IL-6 and TNF by real-time PCR.</p><p><strong>Results: </strong>The intersection of Ginsenoside Rg3 targets and heart failure-related genes yielded 15 drug-disease interaction genes. Enrichment analysis highlighted the involvement of inflammation-related GO terms and KEGG pathways, such as positive regulation of interleukin-8 and -6 production, regulation of immune effector process, cytokine receptor binding, cytokine activity, adipocytokine signaling pathway, and IL-17 signaling pathway, which are implicated in the cardioprotective effect. Topological analysis revealed four hub genes: <i>STAT3</i>, <i>CASP3</i>, <i>TNF</i>, and <i>IL-6</i>. The application of Ginsenoside Rg3 significantly reversed the elevated levels of IL-6 and TNF in the isoproterenol-treated H9c2 cell line.</p><p><strong>Conclusions: </strong>Our findings suggest that the cardioprotective effect of Ginsenoside Rg3 may be mediated through its anti-inflammation properties. Further research is required to elucidate and validate the detailed cardioprotective mechanisms of Ginsenoside Rg3.</p>","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"2024 ","pages":"3373410"},"PeriodicalIF":1.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303059/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141896852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beta-Thalassemia Major and Myocardial Iron Overload: A Longitudinal Study with Magnetic Resonance Imaging.","authors":"Kiara Rezaei-Kalantari, Elahe Meftah, Saeed Tofighi, Kamand Khalaj, Arezou Zoroufian, Marzieh Motevalli, Mohammed Inusah Bihinaa, Negar Omidi, Seyyed Mojtaba Ghorashi","doi":"10.1155/2024/8842016","DOIUrl":"10.1155/2024/8842016","url":null,"abstract":"<p><strong>Background: </strong>Patients with <i>β</i>-thalassemia major depend on lifelong transfusion, resulting in tissue iron overload. This longitudinal retrospective observational study aims to assess myocardial and liver iron overload using magnetic resonance imaging (MRI) and investigate the lag between myocardial and liver iron unloading in <i>β</i>-thalassemia patients undergoing chelation therapy.</p><p><strong>Methods: </strong>Beta-thalassemia major patients with at least two MRI studies between 2016 and 2020 were enrolled. Myocardial and liver iron overload were defined as T2 ^<i>∗</i> less than 20 and 2.1, respectively. Outcomes included mortality, myocardial and liver T2 ^<i>∗</i> changes, and systolic dysfunction assessed by cardiac MRI.</p><p><strong>Results: </strong>Fifty-five patients with a mean age of 24.62 ± 7.94 years, a mean follow-up duration of 24.3 ± 12.9 months, and a mean ferritin level of 1475.75 ± 771.12 ng/mL were enrolled. All of the abovementioned patients only took deferoxamine as the iron-chelating medication. Mortality occurred in three patients (5.5%) during follow-up. Liver T2 ^<i>∗</i> significantly increased (<i>p</i> value <0.05), while myocardial T2 ^<i>∗</i> showed a nonsignificant increase. Iron unloading of the myocardium was not significantly different from that of the liver and did not result in a significant lag (56% vs. 44%; <i>p</i> value = 0.419). Baseline myocardial T2 ^<i>∗</i> correlated with extramedullary hematopoiesis, weekly number of deferoxamine injections (<i>p</i> value <0.01), timing between the transfusions, and serum ferritin (<i>p</i> value <0.05).</p><p><strong>Conclusion: </strong>Liver T2 ^<i>∗</i> reduced during deferoxamine chelation therapy, while myocardial T2 ^<i>∗</i> remained unchanged. No significant lag was observed between myocardial and liver iron unloading. Further studies are required to elucidate these findings.</p>","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"2024 ","pages":"8842016"},"PeriodicalIF":1.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11300088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141892919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Causal Link between Rheumatoid Arthritis and Atrial Fibrillation in East Asian Populations: A Mendelian Randomization Approach.","authors":"Weijun Luo, Hui Yv, Xiao Yu, Xianjun Wu","doi":"10.1155/2024/3274074","DOIUrl":"10.1155/2024/3274074","url":null,"abstract":"<p><strong>Background: </strong>Rheumatoid arthritis (RA) has been associated with atrial fibrillation (AF) in observational studies, yet the causal relationship remains elusive. In this study, we employed Mendelian randomization (MR) to investigate the impact of RA on AF risk specifically in East Asian populations.</p><p><strong>Methods: </strong>Utilizing genome-wide association study (GWAS) data on RA (<i>n</i> = 212,453) and AF (<i>n</i> = 36,792), we applied the following five MR methods: inverse variance weighted (IVW), MR-RAPS, maximum likelihood, weighted median (WM), and Bayesian weighted Mendelian randomization (BWMR). We evaluated heterogeneity, sensitivity, and pleiotropy.</p><p><strong>Results: </strong>Five genetic instrumental variants for RA were identified. All MR methods consistently indicated a causal association between RA and AF (IVW: OR = 1.20, 95% CI: 1.01-1.41, <i>p</i> < 0.03; MR-RAPS: OR = 1.21, 95% CI: 1.03-1.42, <i>p</i> < 0.02; maximum likelihood: OR = 1.20, 95% CI: 1.04-1.39, <i>p</i> < 0.01; WM: OR = 1.25, 95% CI: 1.03-1.52, <i>p</i> < 0.03; and BWMR: OR = 1.20, 95% CI: 1.02-1.42, <i>p</i> < 0.03). Sensitivity and pleiotropy analyses confirmed the robustness and validity of the results.</p><p><strong>Conclusions: </strong>This study establishes a causal link between RA and AF in East Asians. Our results underscore the need for in-depth mechanistic investigations to unravel the underlying pathways. Clinicians should consider AF risk in RA management, emphasizing collaborative care between rheumatologists and cardiologists. Moving forward, future research should explore therapeutic interventions and address the shared biological mechanisms.</p>","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"2024 ","pages":"3274074"},"PeriodicalIF":1.8,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11262875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Takotsubo Cardiomyopathy: Patients Characteristics, Mortality, and Clinical Significance of Left Ventricular Outflow Tract Gradient, Retrospective Study.","authors":"Yunis Daralammouri, Hamza Hamayel, Dina Abugaber, Sari Nabulsi","doi":"10.1155/2024/5549795","DOIUrl":"10.1155/2024/5549795","url":null,"abstract":"<p><strong>Background: </strong>Takotsubo cardiomyopathy (TC) is a reversible left ventricular systolic dysfunction with apical ballooning. Left ventricular outflow tract (LVOT) obstruction may develop in these cases due to hyperdynamic state of the left ventricle. Limited data are available on the prevalence of LVOT gradient in TC and its association with patient outcomes and mortality.</p><p><strong>Methods: </strong>Data were collected retrospectively for patients diagnosed with TC in a single tertiary center, demographic information, blood analysis results, and imaging finding including ejection fraction, and LVOT gradient was obtained from medical records. Additionally, medical treatment and outcome during hospitalization were extracted. Follow-up was conducted through cardiology clinic or phone contact.</p><p><strong>Result: </strong>A total of 59 patients diagnosed with TC were reviewed during hospitalization, and 40 patients were followed up after discharge by phone contact and cardiology clinic. Most patients were female (91.5%), and nonsignificant coronary artery disease was present in 16.9% of patients. Approximately two-third of the patients had a reduced ejection fraction on admission, and only two patients (5.4%) continued to have reduced ejection fraction on echocardiography follow-up within a period of 2-14 days. LVOT gradient was present in 17 patients (28.5%); patients with preserved ejection fraction had a higher probability of having an LVOT gradient. However, there was no association between LVOT gradient and shock or mortality. Four patients (6.7%) experienced 30-day mortality, while all-cause mortality was reported in eight patients (13.5%) over the follow-up period (mean (±SD) 20.8 months ± 16.2).</p><p><strong>Conclusion: </strong>LVOT obstruction may occur in TC patients; it has no correlation with shock or mortality. However, determining whether there is a gradient is important for deciding on specific treatment approach.</p>","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"2024 ","pages":"5549795"},"PeriodicalIF":1.8,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11251787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141626089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Hypertrophic Cardiomyopathy Biomarkers through Integrated Bioinformatics Analysis: Uncovering Novel Diagnostic Candidates.","authors":"Guanmou Li, Dongqun Lin, Xiaoping Fan, Bo Peng","doi":"10.1155/2024/4639334","DOIUrl":"10.1155/2024/4639334","url":null,"abstract":"<p><p>HCM is a heterogeneous monogenic cardiac disease that can lead to arrhythmia, heart failure, and atrial fibrillation. This study aims to identify biomarkers that have a positive impact on the treatment, diagnosis, and prediction of HCM through bioinformatics analysis. We selected the GSE36961 and GSE180313 datasets from the Gene Expression Omnibus (GEO) database for differential analysis. GSE36961 generated 6 modules through weighted gene co-expression network analysis (WGCNA), with the green and grey modules showing the highest positive correlation with HCM (green module: cor = 0.88, <i>p</i> = 2<i>e</i> - 48; grey module: cor = 0.78, <i>p</i> = 4<i>e</i> - 31). GSE180313 generated 17 modules through WGCNA, with the turquoise module exhibiting the highest positive correlation with HCM (turquoise module: cor = 0.92, <i>p</i> = 6<i>e</i> - 09). We conducted GO and KEGG pathway analysis on the intersection genes of the selected modules from GSE36961 and GSE180313 and intersected their GO enriched pathways with the GO enriched pathways of endothelial cell subtypes calculated after clustering single-cell data GSE181764, resulting in 383 genes on the enriched pathways. Subsequently, we used LASSO prediction on these 383 genes and identified RTN4, COL4A1, and IER3 as key genes involved in the occurrence and development of HCM. The expression levels of these genes were validated in the GSE68316 and GSE32453 datasets. In conclusion, RTN4, COL4A1, and IER3 are potential biomarkers of HCM, and protein degradation, mechanical stress, and hypoxia may be associated with the occurrence and development of HCM.</p>","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"2024 ","pages":"4639334"},"PeriodicalIF":1.8,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11239233/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141589732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simple Criteria, Yet the Dearth Utilization-Antithrombotic Management Practice among Atrial Fibrillation Patients at Hawassa University Comprehensive Specialized Hospital, Hawassa, Sidama, Ethiopia","authors":"Mubarak Hussen, Kindie Woubshet, Seifu Bacha, Worku Ketema","doi":"10.1155/2024/6665787","DOIUrl":"https://doi.org/10.1155/2024/6665787","url":null,"abstract":"&lt;i&gt;Background&lt;/i&gt;. Atrial fibrillation (AF) is associated with significant mortality and morbidity from stroke and thromboembolism. Despite the availability of effective oral anticoagulation medication, AF patients remain at a high risk of stroke if not treated properly. The purpose of this study was to evaluate antithrombotic therapy practices in patients with AF in the adult cardiac clinic at Hawassa University Comprehensive Specialized Hospital (HUCSH). &lt;i&gt;Methods&lt;/i&gt;. It was a retrospective document review study. Total charts of 119 patients who had follow-up at the adult cardiac clinic with a history of documented AF from January 1 to December 30, 2018, were included. Indicators for antithrombotic therapy based on the congestive heart failure, hypertension, age ≥75 (doubled), diabetes, stroke (doubled), vascular disease, age 65 to 74, and sex category (female) (CHA2DS2-VASc) score were recorded. A &lt;svg height=\"10.2124pt\" style=\"vertical-align:-3.42943pt\" version=\"1.1\" viewbox=\"-0.0498162 -6.78297 7.83752 10.2124\" width=\"7.83752pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,0,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;/svg&gt; value of 0.05 was considered statistically significant. Data analysis was done using SPSS 23 software. &lt;i&gt;Results&lt;/i&gt;. In this study, about 55% of patients with AF were receiving the appropriate antithrombotic treatment. The patients were 48 ± 18.2 years old. Of these, 70% were women. The most frequent underlying cardiac etiology was chronic rheumatic valvular heart disease (50%), followed by cardiomyopathy (14%). In nonvalvular AF, the mean CHA2DS2VASc score was 4.0 ± 1.07. In valvular AF compared to nonvalvular AF, the need for appropriate antithrombotic therapy was substantially greater &lt;span&gt;&lt;svg height=\"12.7178pt\" style=\"vertical-align:-3.42947pt\" version=\"1.1\" viewbox=\"-0.0498162 -9.28833 56.31 12.7178\" width=\"56.31pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,0,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,4.498,0)\"&gt;&lt;use xlink:href=\"#g113-113\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,14.384,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,20.624,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,23.588,0)\"&gt;&lt;use xlink:href=\"#g113-49\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,29.828,0)\"&gt;&lt;use xlink:href=\"#g113-49\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,36.068,0)\"&gt;&lt;use xlink:href=\"#g113-49\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,42.308,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,48.548,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,53.046,0)\"&gt;&lt;use xlink:href=\"#g113-47\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;/svg&gt;&lt;span&gt;&lt;/span&gt;&lt;/span&gt; Only 8 (13.6%) of the warfarin-using patients had adequate anticoagulation. &lt;i&gt;Conclusion&lt;/i&gt;. The study’s findings in regard to antithrombotic usage and maintenance of appropriate antithrombotics for stroke prevention in our patients revealed a discrepa","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"18 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141168717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative Single-Cell Analysis of Cardiomyopathy Identifies Differences in Cell Stemness and Transcriptional Regulatory Networks among Fibroblast Subpopulations","authors":"Wenyang Nie, Zhijie Zhao, Yuhang Liu, Youcao Wang, Jingwen Zhang, Ying Hu, Yang Liu, Yong Wang, Zhen Wang","doi":"10.1155/2024/3131633","DOIUrl":"https://doi.org/10.1155/2024/3131633","url":null,"abstract":"&lt;i&gt;Background&lt;/i&gt;. Cardiomyopathy encompasses a broad spectrum of diseases affecting myocardial tissue, characterized clinically by abnormalities in cardiac structure, heart failure, and/or arrhythmias. Clinically heterogeneous, major types include dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), restrictive cardiomyopathy (RM), ischemic cardiomyopathy (ICM), among which DCM is more prevalent, while ICM exhibits higher incidence and mortality rates. Myocardial injury during cardiomyopathy progression may lead to myocardial fibrosis. Failure to intervene early and inhibit the process of myocardial fibrosis may culminate in heart failure. Cardiac fibroblasts constitute crucial cellular components determining the extent and quality of myocardial fibrosis, with various subpopulations exerting diverse roles in cardiomyopathy progression. Despite this, understanding of the cellular plasticity and transcriptional regulatory networks of cardiac fibroblasts in cardiomyopathy remains limited. Therefore, in this study, we conducted comprehensive single-cell analysis of cardiac fibroblasts in cardiomyopathy to explore differences in cellular plasticity and transcriptional regulatory networks among fibroblast subpopulations, with the aim of providing as many useful references as possible for the diagnosis, prognosis, and treatment of cardiomyopathy. &lt;i&gt;Materials and Methods&lt;/i&gt;. Cells with mitochondrial gene expression comprising &gt;20% of total expressed genes were excluded. Differential expression genes (DEGs) and stemness genes within cardiac fibroblast subpopulations were subjected to Gene Ontology (GO) analysis of biological processes (BP) and AUCell analysis. Monocle software was employed to analyze the pseudo-temporal trajectory of cardiac fibroblasts in cardiomyopathy. Additionally, the Python package SCENIC was utilized to assess enrichment of transcription factors and activity of regulators within cardiac fibroblast subpopulations in cardiomyopathy. &lt;i&gt;Results&lt;/i&gt;. Following batch effect correction, 179,927 cells were clustered into 32 clusters, designated as T_NK cells, endothelial cells, myeloid cells, fibroblasts, pericytes, SMCs, CMs, proliferating cells, EndoCs, and EPCs. Among them, 8148 fibroblasts were further subdivided into 4 subpopulations, namely C0 THBS4+ Fibroblasts, C1 LINC01133+ Fibroblasts, C2 FGF7+ Fibroblasts, and C3 AGT + Fibroblasts. Results from GO_BP and AUCell analyses suggest that C3 AGT + Fibroblasts may be associated with immune response activation, protein transport, and myocardial contractile function, correlating with disease progression in cardiomyopathy. Transcription factor enrichment analysis indicates that FOS is the most significant TF in C3 AGT + Fibroblasts, also associated with the M1 module, possibly implicated in protein hydrolysis, intracellular DNA replication, and cell proliferation. Moreover, correlation analysis of transcriptional regulatory activity between fibroblast subpopulations rev","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"52 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141062613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Plasma Exosomes hsa_circ_0001360 and hsa_circ_0000038 as Key Biomarkers of Coronary Heart Disease","authors":"Wan Zhang, Jiasen Cui, Li Li, Ting Zhu, Zhenyu Guo","doi":"10.1155/2024/5557143","DOIUrl":"https://doi.org/10.1155/2024/5557143","url":null,"abstract":"&lt;i&gt;Background&lt;/i&gt;. Coronary heart disease (CHD) is the leading cause of death and disability worldwide. Accumulating evidence reveals that atherosclerosis (AS), characterized by systemic, chronic, and multifocal disease, and is the primary pathological basis of cardiovascular diseases, including CHD. However, the molecular underpinnings of CHD are still far from well understood. Our study attempted to identify aberrant plasma exosome-derived circRNAs and key exosomal circRNA biomarkers for CHD. &lt;i&gt;Methods&lt;/i&gt;. The expression profiles of mRNAs, circRNAs, and lncRNAs in the blood exosomes of CHD patients and healthy controls were obtained from the exoRBase database. The corresponding miRNAs of the differentially expressed mRNAs, circRNAs, and lncRNAs were predicted via ENCORI and the miRcode database. LncRNAs/circRNAs and mRNAs with the cotargeted miRNAs were selected to construct an interaction network. Multiple machine learning algorithms have been used to explore potential biomarkers, followed by verification in patients with CHD using real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR). &lt;i&gt;Results&lt;/i&gt;. Based on the cutoff criterion of &lt;span&gt;&lt;svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.6359 19.289 9.2729\" width=\"19.289pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,0,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,11.658,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;/svg&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;svg height=\"9.2729pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"22.8711838 -8.6359 21.918 9.2729\" width=\"21.918pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,22.921,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,29.161,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,32.125,0)\"&gt;&lt;use xlink:href=\"#g113-49\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,38.365,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;/svg&gt;,&lt;/span&gt;&lt;/span&gt; we identified 85 differentially expressed circRNAs (4 upregulated and 81 downregulated), 43 differentially expressed lncRNAs (24 upregulated and 19 downregulated), and 312 differentially expressed mRNAs (55 upregulated and 257 downregulated). Functional enrichment analysis revealed that the differentially expressed mRNAs were involved mainly in neutrophil extracellular trap (NET) formation and the nucleotide-binding oligomerization domain- (NOD-) like receptor signaling pathway. Further analysis revealed that the DEGs in the circRNA/lncRNA-miRNA-mRNA interaction network were closely related to lipid and atherosclerotic signaling pathways. Hsa_circ_0001360 and hsa_circ_0000038 were identified as potential biomarkers for CHD based on three machine learning algorithms. The relative expression levels of hsa_circ_0001360 and hsa_circ_0000038 were significantly altered in plasma exosomes from patients with CHD. ROC curve analysis revealed that the areas unde","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"11 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140298106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hypoxia-Inducible Factor-1α Regulates High Phosphate-Induced Vascular Calcification via Type III Sodium-Dependent Phosphate Cotransporter 1","authors":"Chengkun Guo, Zhengli Quan, Jingjing Ke, Hualong Zang, Qiuping Teng, Xin Li, Dan Peng, Ping Wang","doi":"10.1155/2024/6346115","DOIUrl":"https://doi.org/10.1155/2024/6346115","url":null,"abstract":"Vascular calcification (VC) has a high incidence in patients with chronic kidney disease, which is a worldwide public health problem and presents a heavy burden to society. Hypoxia-inducible factor (HIF)-1<i>α</i>, the active subunit of HIF-1, has been reported to play a vital role in high phosphate-induced VC. However, the underlying mechanism is still undetermined, and effective treatment is unavailable. In the present study, human aortic smooth muscle cells (HASMCs) were cultured under normal or high phosphate media conditions. HIF-1<i>α</i> small interfering RNA and overexpression plasmids were employed to regulate HIF-1<i>α</i> expression. Phosphonoformic acid was employed to restrain the function of type III sodium-dependent phosphate cotransporter 1 (Pit-1). The expression levels of HIF-1<i>α</i>, Pit-1, runt-related transcription factor 2 (Runx2), and smooth muscle 22 alpha (SM22<i>α</i>) were evaluated, and the calcium contents were also examined. Cell growth was assessed using an MTT assay. High phosphate stimulation caused an upregulation in HIF-1<i>α</i> and Pit-1 expression levels and induced calcium depositions in HASMCs. Upregulation of Runx2 expression accompanied by downregulation of SM22<i>α</i> expression was observed in the high phosphate group. Following the suppression of HIF-1<i>α</i> expression, there was a concomitant attenuation in Pit-1 expression, calcium deposition, the alteration of phenotypic transition marker genes, and <i>vice versa</i>. The most serious calcium deposition was noted in HASMCs cultured under high phosphate conditions which were pretreated with a HIF-1<i>α</i> overexpression plasmid. However, when the biological functions of Pit-1 were restrained, the putative serious calcium deposition was not formed even in HASMCs transfected with a HIF-1<i>α</i> overexpression plasmid. The findings confirmed that HIF-1<i>α</i> regulated Pit-1 expression and exerted its pro-calcifying effect through Pit-1, which identified HIF-1<i>α</i> and Pit-1 as therapeutic targets for high phosphate-induced VC.","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"20 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140298126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating Left Ventricular Mass from the Electrocardiogram across the Spectrum of LV Mass from Normal to Increased LV Mass in an Older Age Group","authors":"Simon W. Rabkin, Jeremy C. J. Zhou","doi":"10.1155/2024/6634222","DOIUrl":"https://doi.org/10.1155/2024/6634222","url":null,"abstract":"&lt;i&gt;Objectives&lt;/i&gt;. To examine the relationship of QRS voltages and left ventricular (LV) mass across the spectrum of individuals with different LV mass. &lt;i&gt;Methods&lt;/i&gt;. Twenty QRS voltage measurements or combinations were determined in a consecutive series of 159 adults with an ECG and echocardiogram without previous myocardial infarction, left or right bundle branch block, pre-excitation, or electronic pacemaker. &lt;i&gt;Results&lt;/i&gt;. The four strongest and significant correlations between QRS and LV mass were S in V4, deepest S wave in any precordial lead plus S in V4, S in V3, and S in V3 plus R in AVL times QRS duration. For men, the strength of the relationships were S in V3 (&lt;i&gt;F&lt;/i&gt; = 33.8), deepest S wave in any precordial lead plus S V4 (&lt;i&gt;F&lt;/i&gt; = 33.7), S in V3 plus R aVL (&lt;i&gt;F&lt;/i&gt; = 29.9), S in V4 (&lt;i&gt;F&lt;/i&gt; = 29.79), and deepest S in precordial leads (&lt;i&gt;F&lt;/i&gt; = 17.9). The R wave in AVL alone did not correlate with LV mass. Criteria using the R wave in lateral precordial leads did not correlate as strongly with LV mass. For women, only S in V4 significantly correlated with LV mass. Overall, the R wave voltage in limb leads (AVL I or II) did not correlate with precordial S wave amplitudes. Univariate and multivariate analysis showed that some but not all QRS voltages correlated with each other. In multivariate analysis, using only single variables and not combination of QRS variables, the only significant relationship between QRS voltage and left ventricular mass was for men the S in V3 (&lt;span&gt;&lt;svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,0,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;/svg&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"&gt;&lt;use xlink:href=\"#g113-49\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"&gt;&lt;/path&gt;&lt;/g&gt;&lt;/svg&gt;)&lt;/span&gt;&lt;/span&gt; and for women S in V4 (&lt;span&gt;&lt;svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,0,0)\"&gt;&lt;use xlink:href=\"#g113-113\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"&gt;&lt;use xlink:href=\"#g117-34\"&gt;&lt;/use&gt;&lt;/g&gt;&lt;/svg&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 28.184 11.7782\" width=\"28.184pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"","PeriodicalId":9494,"journal":{"name":"Cardiology Research and Practice","volume":"68 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140098485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}