Anatolian Journal of Cardiology最新文献

{"title":"Decreased Transient Receptor Potential Channel mRNA Expression in the Aortas of Patients with Hypertension.","authors":"Algül Dilara Dokumacı, Belgin Alaşehirli, Akif Serhat Balcıoğlu, Sibel Oğuzkan Balcı, Nadire Eser, İbrahim Seyfettin Çelik, Mehmet Acıpayam","doi":"10.14744/AnatolJCardiol.2025.5123","DOIUrl":"10.14744/AnatolJCardiol.2025.5123","url":null,"abstract":"<p><strong>Background: </strong>Arterial hypertension (HT) is a major risk factor for cardiovascular disease; however, its underlying mechanisms, particularly in primary HT, remain largely unclear. This knowledge gap has hindered the development of effective treatment strategies. Transient receptor potential (TRP) channels, which play a critical role in signal transduction, have been implicated in HT based on previous studies in cell culture and animal models. This study is the first study to analyze aortic tissue from patients with primary HT.</p><p><strong>Methods: </strong>Ascending aortic tissue samples, reflecting central blood pressure (BP), were collected from patients with chronic HT (n = 59) and normotensive controls (n = 22) undergoing coronary artery bypass graft surgery. Transient receptor potential channel mRNA expression was analyzed using quantitative real-time polymerase chain reaction. Subgroup analyses were performed to assess the influence of demographic characteristics, biochemical parameters, antihypertensive medications, and coexisting cardiometabolic conditions on gene expression.</p><p><strong>Results: </strong>Although no significant differences were observed in TRPC1 and TRPV3 mRNA expression between HT and control groups, TRPC6, TRPV1, TRPV2, TRPV4, and TRPM8 mRNA levels were significantly lower in patients with HT. TRPC6 expression showed a positive correlation with age, while TRPV1 expression demonstrated a negative correlation with diastolic BP.</p><p><strong>Conclusion: </strong>These findings suggest that TRP channels could serve as potential therapeutic targets for HT and contribute to a better understanding of its pathogenesis.</p>","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":"472-479"},"PeriodicalIF":1.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144198120","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":"Reply to the Letter to the Editor: \"Risk Trajectory and Right Ventricular Adaptation in Selexipag- Based Triple Therapy for Pulmonary Arterial Hypertension\".","authors":"Cihangir Kaymaz, Hacer Ceren Tokgöz","doi":"10.14744/AnatolJCardiol.2026.6371","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6371","url":null,"abstract":"","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":"30 5","pages":"345-346"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760102","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":"Lp(a), Artificial Intelligence, Hypertrophic Cardiomyopathy….","authors":"Çetin Erol","doi":"10.14744/AnatolJCardiol.2026.5","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.5","url":null,"abstract":"","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":"30 5","pages":"285"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760105","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":"Risk Trajectory and Right Ventricular Adaptation in Selexipag-Based Triple Therapy for Pulmonary Arterial Hypertension.","authors":"Kishankumar Mahida, Snehal Rajendra Jagtap","doi":"10.14744/AnatolJCardiol.2026.6333","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6333","url":null,"abstract":"","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":"30 5","pages":"343-344"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760130","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":"Dissociation Between Cholesteryl Ester Transfer Protein Mass and Activity in Coronary Artery Disease Patients with Elevated High-Density Lipoprotein Cholesterol: Implications for High-Density Lipoprotein Function and Residual Cardiovascular Risk.","authors":"Tolga Kunak, Ayşegül Ülgen Kunak, Adnan Abacı","doi":"10.14744/AnatolJCardiol.2026.6137","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6137","url":null,"abstract":"<p><strong>Background: </strong>High-density lipoprotein cholesterol (HDL-C) is traditionally viewed as cardioprotective; however, some patients with coronary artery disease (CAD) may present with elevated HDL-C levels, challenging this assumption. This study aimed to investigate the roles of HDL subclasses, apolipoproteins, and cholesteryl ester transfer protein (CETP) activity and mass in patients with CAD with high HDL-C and low-density lipoprotein cholesterol (LDL-C) levels.</p><p><strong>Methods: </strong>A total of 35 patients with CAD and 35 age- and lipid-matched control participants (HDL-C ≥ 60 mg/dL and LDL-C ≥ 130 mg/dL) were enrolled. Cholesteryl ester transfer protein mass and activity, apolipoprotein A-I (ApoA-I), ApoA-II, ApoB, and HDL subclasses (HDL2 and HDL3) were measured and compared between groups. Correlation analyses and multivariate logistic regression were performed to assess the relationship between CETP activity and CAD.</p><p><strong>Results: </strong>The CETP activity was significantly higher in patients with CAD compared with control participants (1.08 vs. 0.98 nmol/μL/h, P = .007), whereas CETP mass, HDL2, and HDL3 levels were similar. The ApoA-I levels were paradoxically higher in patients with CAD (P = .006), with no differences in ApoA-II or ApoB. In multivariate analysis, CETP activity remained independently associated with CAD after adjusting for age and sex (OR 2.03; 95% CI 1.27-3.24; P = .002).</p><p><strong>Conclusion: </strong>In patients with high HDL-C and LDL-C, increased CETP activity-but not mass-was associated with the presence of CAD, suggesting CETP function may con-tribute to residual cardiovascular risk. Elevated ApoA-I levels in patients with CAD may reflect dysfunctional HDL, emphasizing that HDL quality, rather than quantity, plays a more critical role in atheroprotection. These findings support a functional evaluation of lipoproteins in cardiovascular risk assessment.</p>","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760127","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":"Reply to the Letter to the Editor: \"Evaluation of Reporting Deficiencies, Methodological Gaps, and Hemodynamic Paradoxes in the ScienCrown Transcatheter Valve: A Comprehensive Critical Analysis\".","authors":"Jian-Dong Ding, Yi-Lin Chen, Rong-Feng Xu, Xiao-Li Zhang, Qi-Tong Lu, Gen-Shan Ma","doi":"10.14744/AnatolJCardiol.2026.6225","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6225","url":null,"abstract":"","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147721642","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":"Reply to the Letter to the Editor: \"Concerns Regarding the Interpretation of Triglyceride- Glucose Index as a Protective Factor in Hypertrophic Cardiomyopathy\".","authors":"Yi Zheng, Lei Liu, Xiaoping Li, Tong Liu","doi":"10.14744/AnatolJCardiol.2026.6221","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6221","url":null,"abstract":"<p><p>†These authors contributed equally. *Joint senior authors.</p>","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147721616","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":"Self-Inflicted Sewing Needles Penetrating the Interventricular Septum.","authors":"Onur Umut Erdoğdu","doi":"10.14744/AnatolJCardiol.2026.6327","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6327","url":null,"abstract":"","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147721640","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":"Transcatheter Closure of a Post-Surgical Left Atrial Appendage Ligation Leak Using a Patent Foramen Ovale Occluder.","authors":"Mert Doğan, Cem Çöteli, Ahmet Kıvrak, Uğur Canpolat, Ahmet Hakan Ateş, Uğur Nadir Karakulak, Hikmet Yorgun, Levent Şahiner, Ergün Barış Kaya, Kudret Aytemir","doi":"10.14744/AnatolJCardiol.2026.6231","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6231","url":null,"abstract":"","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147721585","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":"Artificial Intelligence in Cardiovascular Disease Prevention: Current Applications and Future Perspectives.","authors":"Nurgül Keser, Tarık Kıvrak, Ahmet Sekban, Serdar Bozyel","doi":"10.14744/AnatolJCardiol.2026.6274","DOIUrl":"https://doi.org/10.14744/AnatolJCardiol.2026.6274","url":null,"abstract":"<p><p>Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, emphasizing the ongoing need for effective and scalable primary and secondary prevention strategies. In this evolving landscape, artificial intelligence (AI) has emerged as a transformative force in preventive cardiology, with the potential to reshape risk assessment, early disease detection, and personalized preventive care. Artificial intelligence-driven models consistently outperform traditional risk scores by integrating large-scale, multidimensional, and longitudinal data derived from various platforms. These capabilities enable dynamic and time-adaptive cardiovascular risk prediction that more accurately reflects the evolving nature of individual risk profiles. Advances in machine learning and deep learning have facilitated the earlier identification of subclinical CVD often preceding clinical manifestation by several years. In parallel, AI-powered wearable devices and digital health (DH) solutions support continuous physi-ological monitoring, real-time feedback, and personalized lifestyle and behavioral interventions, thereby extending preventive care beyond traditional clinic-based settings. Such approaches appear particularly beneficial for high-risk populations by promoting sustained engagement, early intervention, and improved clinical outcomes. Looking ahead, emerging innovations such as multimodal AI systems, digital twin technologies, and AI-guided clinical guidelines signal a paradigm shift toward predictive, participatory, precision-based, and continuously learning prevention strategies. Nevertheless, the successful translation of AI into routine clinical practice will depend on increasing DH literacy, rigorous prospective validation, ethical and regulatory oversight, data transparency, and seamless integration into clinical workflows. When thoughtfully implemented, AI holds the promise to fundamentally advance preventive cardiology, enabling more patient-centered, participatory, and equitable cardiovascular care while reducing the global burden of CVD.</p>","PeriodicalId":7835,"journal":{"name":"Anatolian Journal of Cardiology","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147687627","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}