CCL17 as an Inflammatory Biomarker Enhances Cardiovascular Risk Stratification: a Prospective Cohort Study [0.03%]
趋化因子CCL17作为炎症生物标志物可增强心血管风险分层：前瞻性队列研究
Zeyuan Wang,Xiaoyu Ren,Yang Lu et al.
Zeyuan Wang et al.
Inflammation is a key contributor to cardiovascular disease (CVD), yet existing risk models such as Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) and Pooled Cohort Equations (PCE) inadequately identify individuals at inte...
Correction: Cardiac Overexpression of Chil1 Improves Wound Healing to Prevent Cardiac Rupture After Myocardial Infarction [0.03%]
纠正：心脏过表达Chil1改善伤口愈合以预防心肌梗死后的心脏破裂
Tianbao Ye,Boshen Yang,Peng Wei et al.
Tianbao Ye et al.
Role of N,N,N Trimethyl-L-alanyl-L-proline Betaine Levels in the Process of Myocardial Infarction [0.03%]
N,N,N-三甲基-L-丙氨酰-L-脯氨酸在心肌梗死发病过程中的作用研究
Ziyang Wu,Dong Wang,Chengchun Tang
Ziyang Wu
The aim of this study was to evaluate the relationship between N,N,N trimethyl-L-alanyl-L-proline betaine (TMAP) levels and myocardial infarction (MI). Causal relationship was estimated based on TMAP levels and MI data from genome-wide asso...
Cian O&#x;Donnell,Aleksei Mikhailov,Shin Yoo et al.
Cian O&#x;Donnell et al.
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, yet current therapies-including drugs and catheter ablation-remain suboptimal. Gene therapy offers a promising way to modulate AF's molecular drivers. This review sum...
Extracellular Vesicles in Cardiovascular Diseases: Signaling, Biomarker, and Therapy [0.03%]
心血管疾病的细胞外囊泡：信号传导、生物标志物和治疗
Wenxi Chen,Xinyi Zhu,Shuo Yu et al.
Wenxi Chen et al.
Cardiovascular diseases (CVDs) remain the global leading cause of mortality, necessitating novel diagnostics and therapies. Extracellular vesicles (EVs)-including exosomes, microvesicles, and apoptotic bodies-serve as key intercellular comm...
Plasma Proteomics for Predicting Cardiovascular Disease: How Many Proteins are Enough? [0.03%]
预测心血管疾病血浆蛋白质组研究需要多少种蛋白？
Patrick Royer,Elias Björnson,Martin Adiels et al.
Patrick Royer et al.
A Machine Learning Tool to Predict Survival After First Surgery in Peripheral Artery Disease Patients [0.03%]
一种预测外周动脉疾病患者初次手术后生存率的机器学习工具
Martina Doneda,Ettore Lanzarone,Fabio Riccardo Pisa et al.
Martina Doneda et al.
The aim of this study was to develop and validate a machine learning tool for predicting survival in PAD patients who received surgical treatment. We used the data from 1,615 patients who underwent PAD surgery from 2005 to 2020. Gradient bo...
Jiawei Li,Lin Yi,Lingna Zhang et al.
Jiawei Li et al.
Atherosclerosis (AS) is a chronic inflammatory disease characterized by the formation of fibrous fatty lesions or plaques within the arterial wall, which causes a large amount of morbidity and mortality worldwide. Copper is a mineral nutrie...
Enhancing Ulk1-Ser913 Phosphorylation as a Novel Therapy for Cardiac Aging [0.03%]
通过增强Ulk1-Ser913磷酸化治疗心脏衰老的新方法
Yuwei Yan,Xinyi Ren,Tingting Yang et al.
Yuwei Yan et al.
MYC-CXCL1-CXCR2 Axis in Heart Failure-Specific Cardiac Fibroblasts: a Potential Novel Therapeutic Target Beyond Cardiomyocytes [0.03%]
心力衰竭特异性心脏成纤维细胞中的MYC-CXCL1-CXCR2轴：心肌细胞外潜在的新型治疗靶点
Yuwei Yan,Shuyi Qiu,Juan Gao et al.
Yuwei Yan et al.