Antonio M Calafiore, Sotirios Prapas, Mario Gaudino
{"title":"Arterial conduits for coronary bypass grafting: the set-point concept.","authors":"Antonio M Calafiore, Sotirios Prapas, Mario Gaudino","doi":"10.1093/eurheartj/ehae908","DOIUrl":"10.1093/eurheartj/ehae908","url":null,"abstract":"<p><p>Endothelial cells control the vascular tone of arterial grafts used for coronary artery bypass surgery and react to changes in local shear stress. The vascular adaptations induced by endothelial cell activation affect the outcome of surgical grafts and can be predicted based on the set-point theory. In this Hypothesis piece, it is proposed that the set-point concept should inform surgical decision making for coronary artery bypass surgery.</p>","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"922-925"},"PeriodicalIF":37.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peiwen Yang, Hao Liu, Shilin Wang, Xiaoyue Xiao, Lang Jiang, Sheng Le, Shanshan Chen, Ping Ye, Jiahong Xia
{"title":"PIEZO1 attenuates Marfan syndrome aneurysm development through TGF-β signaling pathway inhibition via TGFBR2.","authors":"Peiwen Yang, Hao Liu, Shilin Wang, Xiaoyue Xiao, Lang Jiang, Sheng Le, Shanshan Chen, Ping Ye, Jiahong Xia","doi":"10.1093/eurheartj/ehae786","DOIUrl":"10.1093/eurheartj/ehae786","url":null,"abstract":"<p><strong>Background and aims: </strong>Marfan syndrome (MFS) is a hereditary disorder primarily caused by mutations in the FBN1 gene. Its critical cardiovascular manifestation is thoracic aortic aneurysm (TAA), which poses life-threatening risks. Owing to the lack of effective pharmacological therapies, surgical intervention continues to be the current definitive treatment. In this study, the role of Piezo-type mechanosensitive ion channel component 1 (Piezo1) in MFS was investigated and the activation of PIEZO1 was identified as a potential treatment for MFS.</p><p><strong>Methods: </strong>PIEZO1 expression was detected in MFS mice (Fbn1C1041G/+) and patients. Piezo1 conditional knockout mice in vascular smooth muscle cells of MFS mice (MFS × CKO) was generated, and bioinformatics analysis and experiments in vitro and in vivo were performed to investigate the role of Piezo1 in MFS.</p><p><strong>Results: </strong>PIEZO1 expression decreased in the aortas of MFS mice; MFS × CKO mice showed aggravated TAA, inflammation, extracellular matrix remodelling, and TGF-β pathway activation compared to MFS mice. Mechanistically, PIEZO1 knockout exacerbated the activation of the TGF-β signalling pathway by inhibiting the endocytosis and autophagy of TGF-β receptor 2 mediated by Rab GTPase 3C. Additionally, the pharmacological activation PIEZO1 through Yoda1 prevented TGF-β signalling pathway activation and reversed TAA in MFS mice.</p><p><strong>Conclusions: </strong>Piezo1 deficiency aggravates MFS aneurysms by promoting TGF-β signalling pathway activation via TGF-β receptor 2 endocytosis and a decrease in autophagy. These data suggest that PIEZO1 may be a potential therapeutic target for MFS treatment.</p>","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"958-974"},"PeriodicalIF":37.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142709482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel percutaneous technique for closing anomalous left coronary artery origin from the pulmonary artery using the Fustar™ Steerable Introducer.","authors":"Shubo Song, Liyun Zhao, Taibing Fan","doi":"10.1093/eurheartj/ehaf090","DOIUrl":"https://doi.org/10.1093/eurheartj/ehaf090","url":null,"abstract":"","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":""},"PeriodicalIF":37.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143575576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Franz H Messerli, Renate Schoenenberger-Berzins, Michel Burnier
{"title":"SGLT2 inhibitors: not for hypertension but exceedingly useful in hypertension.","authors":"Franz H Messerli, Renate Schoenenberger-Berzins, Michel Burnier","doi":"10.1093/eurheartj/ehae751","DOIUrl":"https://doi.org/10.1093/eurheartj/ehae751","url":null,"abstract":"","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":""},"PeriodicalIF":37.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143572300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guido Claessen, Thijs M H Eijsvogels, Christine M Albert, Aaron L Baggish, Benjamin D Levine, Eloi Marijon, Erin D Michos, Andre La Gerche
{"title":"Coronary atherosclerosis in athletes: emerging concepts and preventive strategies.","authors":"Guido Claessen, Thijs M H Eijsvogels, Christine M Albert, Aaron L Baggish, Benjamin D Levine, Eloi Marijon, Erin D Michos, Andre La Gerche","doi":"10.1093/eurheartj/ehae927","DOIUrl":"10.1093/eurheartj/ehae927","url":null,"abstract":"<p><p>There should be no assumption that an athlete is immune to coronary artery disease (CAD), even when traditional cardiovascular (CV) risk factors appear well-managed. Excelling in certain aspects of health does not equate to total CV protection. Recent data from cardiac imaging studies have raised the possibility that long-term, high-volume, high-intensity endurance exercise is associated with coronary atherosclerosis. Whilst the risk of CV events has not been shown to rise with athletic activity, the potential for CAD should not be overlooked as it is the leading cause of sudden cardiac death in athletes >35 years of age (i.e. 'Masters athletes'). Evaluating both traditional and non-traditional risk factors for CAD is the most important part of pre-participation evaluation in Masters athletes. When managing athletes at risk of CAD it is important to adopt a shared decision-making approach regarding lifestyle adaptation and lipid-lowering treatments. In the great majority of athletes, after excluding the presence of symptoms and inducible ischaemia, this advice should include encouragement to continue exercising as available data indicate that higher levels of fitness are associated with a markedly attenuated incidence of coronary events regardless of the severity of coronary disease. Future research is needed to establish the relationship between clinically relevant CAD outcomes and coronary artery calcification in Masters Athletes, the role of sex, as well as exploration of the mechanisms underpinning these unexpected CV adaptations.</p>","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"890-903"},"PeriodicalIF":37.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11887545/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142946747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeineb Bouzid, Ervin Sejdic, Christian Martin-Gill, Ziad Faramand, Stephanie Frisch, Mohammad Alrawashdeh, Stephanie Helman, Tanmay A Gokhale, Nathan T Riek, Karina Kraevsky-Phillips, Richard E Gregg, Susan M Sereika, Gilles Clermont, Murat Akcakaya, Jessica K Zègre-Hemsey, Samir Saba, Clifton W Callaway, Salah S Al-Zaiti
{"title":"Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.","authors":"Zeineb Bouzid, Ervin Sejdic, Christian Martin-Gill, Ziad Faramand, Stephanie Frisch, Mohammad Alrawashdeh, Stephanie Helman, Tanmay A Gokhale, Nathan T Riek, Karina Kraevsky-Phillips, Richard E Gregg, Susan M Sereika, Gilles Clermont, Murat Akcakaya, Jessica K Zègre-Hemsey, Samir Saba, Clifton W Callaway, Salah S Al-Zaiti","doi":"10.1093/eurheartj/ehae880","DOIUrl":"10.1093/eurheartj/ehae880","url":null,"abstract":"<p><strong>Background and aims: </strong>The importance of risk stratification in patients with chest pain extends beyond diagnosis and immediate treatment. This study sought to evaluate the prognostic value of electrocardiogram feature-based machine learning models to risk-stratify all-cause mortality in those with chest pain.</p><p><strong>Methods: </strong>This was a prospective observational cohort study of consecutive, non-traumatic patients with chest pain. All-cause death was ascertained from multiple sources, including the CDC National Death Index registry. Six machine learning models were trained for survival analysis using 73 morphological electrocardiogram features (80% training with 10-fold cross-validation and 20% testing), followed by a variational Bayesian Gaussian mixture model to define distinct risk groups. The resulting classification performance was compared against the HEART score.</p><p><strong>Results: </strong>The derivation cohort included 4015 patients (age 59 ± 16 years, 47% women). The mortality rate was 20.3% after a median follow-up period of 3.05 years (interquartile range 1.75-5.32). Extra Survival Trees outperformed other forecasting models, and the derived risk groups successfully classified patients into low-, moderate-, and high-risk groups (log-rank test statistic = 121.14, P < .001). This model outperformed the HEART score, reducing the rate of missed events by >90% with a negative predictive value and sensitivity of 93.4% and 85.9%, compared to 89.0% and 75.0%, respectively. In an independent external testing cohort (N = 3095, age 59 ± 15 years, 44% women, 30-day mortality 3.5%), patients in the moderate [odds ratio 3.62 (1.35-9.74)] and high [odds ratio 6.12 (2.38-15.75)] risk groups had significantly higher odds of mortality compared to those in the low-risk group.</p><p><strong>Conclusions: </strong>The externally validated machine learning-based model, exclusively utilizing features from the 12-lead electrocardiogram, outperformed the HEART score in stratifying the mortality risk of patients with acute chest pain. This may have the potential to impact the precision of care delivery and the allocation of resources to those at highest risk of adverse events.</p>","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"943-954"},"PeriodicalIF":37.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11887543/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142970241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}