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381 results on '"Tang, Baopeng"'

8. Variation and disparity in awareness of atrial fibrillation in China: A national cross-sectional study

Author

Shi, Shaobo, Zhao, Qingyan, Wu, Gang, Yan, Hong, Yu, Bin, Zheng, Qiangsun, Li, Yigang, Zheng, Liangrong, Yuan, Yiqiang, Zhong, Jingquan, Xu, Jian, Wu, Yanqing, Xu, Jing, Chen, Lin, Li, Shufeng, Jiang, Jian, Wang, Jingfeng, Fan, Jie, Chen, Minglong, Tang, Baopeng, Li, Wei, Wu, Qiang, Shi, Bei, Zhou, Shenghua, Zhao, Xingsheng, Yin, Yuehui, Zhang, Zheng, Zhong, Guoqiang, Han, Xuebin, Liu, Fan, Wu, Ming, Gao, Lianjun, Yang, Bo, Tang, Yanhong, Huang, He, and Huang, Congxin

Published
2024
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14. Improve the Prevention of Sudden Cardiac Arrest in Patients With Post-Acute Myocardial Infarction

Author

Zhang, Shu, Chen, Wen-Jone, Sankardas, Mullasari Ajit, Ahmed, Waqar Habib, Liew, Houng-Bang, Gwon, Hyeon-Cheol, Nesa Malik, Fazila Tunn, Tang, Baopeng, Haggui, Abdeddayem, Oh, Il-Young, Ong, Tiong Kiam, Cheng, Cheng-I, Liu, Xingbin, Seth, Ashok, Choi, Young Jin, Qamar, Nadeem, Rungpradubvong, Voravut, Wang, Chun-Chieh, Jeon, JinKyung, Wong, Grace, Lemme, Francesca, Van Dorn, Brian, Lexcen, Dan, and Huang, Dejia

Published
2022
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15. Prevalence and risk of atrial fibrillation in China: A national cross-sectional epidemiological study

Author

Shi, Shaobo, Tang, Yanhong, Zhao, Qingyan, Yan, Hong, Yu, Bin, Zheng, Qiangsun, Li, Yigang, Zheng, Liangrong, Yuan, Yiqiang, Zhong, Jingquan, Xu, Jian, Wu, Yanqing, Xu, Jing, Chen, Lin, Li, Shufeng, Jiang, Jian, Wang, Jingfeng, Fan, Jie, Chen, Minglong, Tang, Baopeng, Li, Wei, Wu, Qiang, Shi, Bei, Zhou, Shenghua, Zhao, Xingsheng, Yin, Yuehui, Zhang, Zheng, Zhong, Guoqiang, Han, Xuebin, Liu, Fan, Wu, Ming, Gao, Lianjun, Yang, Bo, Huang, He, and Huang, Congxin

Published
2022
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19. Chronic Expression of Interleukin-10 Transgene Modulates Cardiac Sympathetic Ganglion Resulting in Reduced Ventricular Arrhythmia

Author

Li, Rui, primary, Zhang, Ling, additional, Peng, Chen, additional, Lu, Yanmei, additional, Liu, Zhihao, additional, Xu, Xiao, additional, Wang, Changyi, additional, Hu, Ruijie, additional, Tan, Wuping, additional, Zhou, Liping, additional, Wang, Yueyi, additional, Yu, Lilei, additional, Wang, Yuhong, additional, Tang, Baopeng, additional, and Jiang, Hong, additional

Published
2024
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22. Performance of Subcutaneous Implantable Cardioverter Defibrillator (S-ICD) in Chinese Population with Primary Prevention Indications: A Prospective Observational Cohort Study

Author

Li, Yaodong, primary, Chen, Yangxin, additional, Wang, Jingfeng, additional, Xu, Jian, additional, Li, Ruogu, additional, Qiu, Zhaohui, additional, Jiang, Lingyun, additional, Shen, Farong, additional, Jiang, Shubin, additional, Li, Bin, additional, Chu, Yingjie, additional, He, Lang, additional, Pu, Lijin, additional, Han, Xuebin, additional, Long, Xianping, additional, Xue, Xiaolin, additional, Tao, Jianhong, additional, Wu, Yongquan, additional, Guo, Tao, additional, Yuan, Yiqiang, additional, Wang, Xianqing, additional, Wang, Jiang, additional, Xu, Jing, additional, Zhao, Yujie, additional, Zhang, Zhihui, additional, Hua, Wei, additional, Su, Yangang, additional, and Tang, Baopeng, additional

Published
2023
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23. Effectiveness and safety of ivabradine in Chinese patients with chronic heart failure: an observational study.

Author

Zhou, Jingmin, Xu, Yamei, Zheng, Zhaofen, Zhang, Shuyang, Yang, Jiefu, Zhang, Yuhui, Tang, Baopeng, Han, Huiyuan, Zhang, Qing, Liu, Fan, Ding, Wenhui, Qian, Caizhen, Su, Guohai, Liu, Xiaohui, Shen, Yuansheng, Shi, Bei, Kong, Xiangqing, Ge, Zhiming, Zhang, Ping, and Guo, Xiaomei

Subjects
CHINESE people, HEART failure patients, IVABRADINE, BRAIN natriuretic factor, VENTRICULAR ejection fraction
Abstract

Aims: A therapeutic strategy for chronic heart failure (HF) is to lower resting heart rate (HR). Ivabradine is a well‐known HR‐lowering agent, but limited prospective data exist regarding its use in Chinese patients. This study aimed to evaluate the effectiveness and safety of ivabradine in Chinese patients with chronic HF. Methods and results: This multicentre, single‐arm, prospective, observational study enrolled Chinese patients with chronic HF. The primary outcome was change from baseline in HR at 1 and 6 months, measured by pulse counting. Effectiveness was also evaluated using laboratory tests, the Kansas City Cardiomyopathy Questionnaire (KCCQ) clinical summary score (CSS) and overall summary score (OSS), and New York Heart Association (NYHA) class. Treatment‐emergent adverse events (TEAEs) were assessed. A post hoc analysis examined the effectiveness and safety of ivabradine combined with an angiotensin receptor–neprilysin inhibitor (ARNI) or beta‐blocker. A total of 1003 patients were enrolled [mean age 54.4 ± 15.0 years, 773 male (77.1%), mean baseline HR 88.5 ± 11.3 b.p.m., mean blood pressure 115.7/74.4 ± 17.2/12.3 mmHg, mean left ventricular ejection fraction 30.9 ± 7.6%, NYHA Classes III and IV in 48.8% and 22.0% of patients, respectively]. HR decreased by a mean of 12.9 and 16.1 b.p.m. after 1 and 6 months, respectively (both P < 0.001). At Month 6, improvements in the KCCQ CSS and OSS of ≥5 points were observed in 72.1% and 74.1% of patients, respectively (both P < 0.001). Left ventricular ejection fraction increased by 12.1 ± 11.6 (P < 0.001), and 66.7% of patients showed improvement in NYHA class (P < 0.001). At Month 6, the overall proportion of patients in NYHA Classes III and IV was reduced to 13.5% and 2.1%, respectively. Serum brain natriuretic peptide (BNP) and N‐terminal pro‐BNP changed by −331.9 ng/L (−1238.6, −134.0) and −1113.8 ng/L (−2202.0, −297.2), respectively (P < 0.001). HR reductions and improvements in NYHA and KCCQ scores with ivabradine were similar with and without use of ARNIs or beta‐blockers. Of 498 TEAEs in 296 patients (29.5%), 73 TEAEs in 55 patients (5.5%) were considered related to ivabradine [most frequent sinus bradycardia (n = 7) and photopsia (n = 7)]. TEAEs were reported in a similar number of patients in ARNI and beta‐blocker subgroups (21.9–35.6%). Conclusions: Ivabradine treatment reduced HR and improved cardiac function and health‐related quality of life in Chinese patients with chronic HF. Benefits were seen irrespective of whether or not patients were also taking ARNIs or beta‐blockers. Treatment was well tolerated with a similar profile to previous ivabradine studies. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Beta1-adrenergic receptor autoantibodies contributes to atrial remodeling by PTEN-mediated repression ofcardiomyocyte autophagy and aggravation of cardiomyocyte apoptosis

Author

Yang, Na, primary, Sun, Huaxin, additional, Xi, Linqiang, additional, Zhang, Ling, additional, Lu, Yanmei, additional, Wang, Qianhui, additional, Cao, Jiaru, additional, Song, Jie, additional, Tang, Baopeng, additional, Shang, Luxiang, additional, and Zhou, Xianhui, additional

Published
2023
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26. Combining with Intracardiac Echocardiography and Radiofrequency Catheter Ablation of Focal Right Atrial Tachycardia in Dextrocardia: Challenge and Literature Review

Author

Guo, Yankai, primary, Shang, Shuai, additional, Cao, Guiqiu, additional, Xiaokereti, Jiasuoer, additional, Er-hong, Zu Ke-la Tu, additional, Yang, Xu, additional, Zhang, Ling, additional, Lu, Yan-mei, additional, Zhang, Jiang-Hua, additional, Xing, Qiang, additional, zhou, xianhui, additional, Ye, Yuanzheng, additional, Sun, Tianheng, additional, Li, Yao-Dong, additional, and Tang, Baopeng, additional

Published
2023
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29. Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial

Author

Keenan, Joanne, Milton, Joanne, Doran, Zoe, Bray, Chris, Rouleau, Jean L, Collier, Jane, Pocock, Stuart, Standl, Eberhard, Swedberg, Karl, Weng, Jianping, Zhao, Dong, Petrie, Mark C, Connolly, Eugene, Jhund, Pardeep, MacDonald, Michael, Myles, Rachel C, Bai, Rong, Li, Jing, Liu, Zhaoping, Liu, Zhenyu, Peng, Dantao, Tong, Qiguang, Wang, Chunxue, Yan, Xiaowei, Zhang, Yuqing, Zhou, Jingmin, Sattar, Naveed, Fisher, Miles, Petrie, John R, Bethel, M Angelyn, Xu, Wen, Hearn, Sarah, Kappai, Anurag, Su, Shu-Yi, Liyanage, Winitha, Paul, Sanjoy, Pozzi, Emanuela, Ring, Arne, Athwal, Rajbir, Batra, Priyanka, Ferch, Andrea, Groves, Natasha, Kennedy, Irene, Nawalaniec, Olga, Patel, Yash, Roberts, Rachel, Rush, Victoria, Starrett, Jayne, Tang, Jennifer, Bi, Jing, Jiang, Zhe, Wei, Hua, Wei, Xiaoshuai, Zhang, Xuan, Yin, Jun, Sun, Yu, Hu, Rong, Liu, Yang, Long, Jianjing, Long, Yuefeng, Qiao, Guofang, Qiao, Haoyi, Sun, Xiaochun, Zhang, Yucheng, Zhou, Jing, Wang, Bangning, Chen, Bin, Deng, Lili, Han, Xiaoning, Hu, Taohong, Hua, Qi, Huo, Yanming, Li, Hongmei, Li, Hongwei, Liu, Lihua, Lu, Juming, Ma, Changsheng, Peng, Jianjun, Pi, Lin, Wang, Bin, Wei, Guanglin, Yang, Ming, Zhang, Shuyang, Zhang, Likun, Zhao, Xia, Zhou, Yujie, Shi, Libin, Wang, Mingsheng, Wu, Lirong, Han, Lei, Liao, Ronghong, Ran, Boli, She, Qiang, Tan, Jiancong, Xia, Mei, Yang, Chengming, Chen, Lianglong, Xiong, Shangquan, Yu, Ling, Pu, Xiaodong, Wang, Yan, Xie, Qiang, Chen, Cibin, Chen, Jiyan, Dong, Yugang, Wu, Zhaohui, Yuan, Yong, Zhou, Wanxing, Zhou, Shuxian, Chen, Xiaochao, Wu, Chun, Zhang, Aidong, Li, Zicheng, Lai, Shayi, Yang, Jin, Wei, Jinru, Kuang, Riyu, Zhao, Zilin, Zhong, Guoqiang, Cao, Xufen, Hao, Yuming, Liu, Gang, Wang, Dongmei, Fang, Hui, Kong, Lingjun, Li, Haitao, Wang, Changqing, Wang, Li'na, Li, Xueqi, Dong, Pingshuan, Zhang, Shouyan, Liu, Xincan, Zhao, Yulan, Liu, Hengliang, Gu, Ye, Liao, Yuhua, Su, Xi, Wang, Daowen, Wang, Hairong, Yang, Bo, Guo, Ying, Ouyang, Ding'an, Yang, Tianlun, Zhang, Yumin, Han, Yajun, Lin, Xuefeng, Zhao, Ruiping, Man, Ronghai, Bian, Rongwen, Biao, Xu, Hasimu, Buaijiaer, Jin, Hui, Liu, Ping, Yu, Jiangyi, Zhang, Hang, Xu, Chongli, Guo, Yan, Lv, Ke, Tao, Yijia, Xu, Xin, Yang, Zhenyu, Li, Dongye, Qi, Chunmei, Zhang, Guohui, Gu, Xiang, Hong, Lang, Hu, Ling, Li, Juxiang, Yang, Ping, Liu, Bin, Wang, Gang, Lin, Hailong, Liu, Jun, Zhang, Shuying, Han, Ping, Jin, Yuanzhe, Li, Ling, Li, Zhanquan, Luan, Hong, Song, Mei, Xue, Li, Hua, Yu, Liu, Dongwu, Yuan, Zuyi, Ye, Jixian, Gao, Feng, Feng, Jinhua, Wang, A'li, Ye, Shengming, Li, Xiaoyan, Su, Guohai, Zhang, Shufang, Hou, Zishan, Jiang, Wenbin, Zhou, Changyong, Wang, Yanping, Qi, Wenbo, Bao, Xiaomei, Feng, Bo, Gong, Hui, Gu, Shuiming, Gu, Mingjun, Guo, Xingui, He, Ben, Huang, Ying, Jiang, Jinfa, Jiang, Yifeng, Jin, Huigen, Li, Yuehua, Liu, Qiliang, Lu, Guoping, Miao, Peizhi, Qin, Yongwen, Wang, Yuanming, Wu, Shiyao, Xu, Yawei, Ma, Jin, Chen, Xiaoping, Liu, Xiumin, Tang, Jianing, Wang, Jingping, Tao, Jianhong, Zhang, Jun, Zhang, Tingjie, Li, Decai, Du, Xinping, Jiang, Tiemin, Lin, Jingna, Lu, Chengzhi, Ma, Hongjun, Gao, Bo, Guo, Xukun, Li, Tong, Zheng, Shaoxiong, Li, Zhongcheng, Zhao, Shuwu, Qiu, Qiang, Li, Kaili, Liu, Junming, Tang, Baopeng, Yuan, Zhanjun, Zhou, Jianhua, Bai, Wenwei, Guo, Tao, Zhang, Ge, Zhang, Hong, Hao, Yinglu, Fu, Guosheng, Tang, Lijiang, Chen, Jialun, Holman, Rury R, Coleman, Ruth L, Chan, Juliana C N, Chiasson, Jean-Louis, Feng, Huimei, Ge, Junbo, Gerstein, Hertzel C, Gray, Richard, Huo, Yong, Lang, Zhihui, McMurray, John J, Rydén, Lars, Schröder, Stefan, Sun, Yihong, Theodorakis, Michael J, Tendera, Michal, Tucker, Lynne, Tuomilehto, Jaakko, Wei, Yidong, Yang, Wenying, Wang, Duolao, Hu, Dayi, and Pan, Changyu

Published
2017
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31. Bioinformatics analysis reveals the potential common genes and immune characteristics between atrial fibrillation and periodontitis.

Author

Xiang, Jie, Cao, Jiaru, Shen, Jun, Wang, Xiaoyan, Liang, Junqing, Li, Xinshang, Zhang, Ling, and Tang, Baopeng

Subjects
PERIODONTITIS, ANIMAL experimentation, IMMUNOHISTOCHEMISTRY, WESTERN immunoblotting, ATRIAL fibrillation, MANN Whitney U Test, BIOINFORMATICS, GENE expression, RATS, T-test (Statistics), DESCRIPTIVE statistics, RESEARCH funding, DATA analysis software
Abstract

Background and Objective: Atrial fibrillation (AF) and periodontitis, both classified under chronic inflammatory diseases, share common etiologies, including genetic factors and immune pathways. However, the exact mechanisms are still poorly understood. This study aimed to explore the potential common genes and immune characteristics between AF and periodontitis. Methods: Gene expression datasets for AF and periodontitis were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis was used to identify common genes in the training set. Functional analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, were conducted to elucidate the underlying mechanisms. Hub genes were further screened based on expression levels, receiver operating characteristic (ROC) curves, and least absolute shrinkage and selection operator (LASSO) regression. Then, based on the expression levels and ROC values of the hub genes in the validation set, the target genes were identified. Finally, immune cell infiltration analysis was performed on the AF and periodontitis datasets in the training set using the "CIBERSORT" R package. The relationships between target genes, infiltrating immune cells, and inflammatory factors were also investigated. In addition, AF susceptibility, atrial fibrosis, inflammatory infiltration, and RGS1 protein expression in rat models of periodontitis were assessed through in vivo electrophysiology experiments, Masson's trichrome staining, hematoxylin–eosin staining, immunohistochemistry, and western blotting, respectively. Results: A total of 21 common genes were identified between AF and periodontitis among the differentially expressed genes. After evaluating gene expression levels, ROC curves, and LASSO analysis, four significant genes between AF and periodontitis were identified, namely regulator of G‐protein signaling 1 (RGS1), annexin A6 (ANXA6), solute carrier family 27 member 6 (SLC27A6), and ficolin 1 (FCN1). Further validation confirmed that RGS1 was the optimal shared target gene for AF and periodontitis. Immune cell infiltration analysis revealed that neutrophils and T cells play an important role in the pathogenesis of both diseases. RGS1 showed a significant positive correlation with activated memory CD4 T cells and gamma–delta T cells and a negative correlation with CD8 T cells and regulatory T cells in both training sets. Moreover, RGS1 was positively correlated with classical pro‐inflammatory cytokines IL1β and IL6. In periodontitis rat models, AF susceptibility, atrial fibrosis, and inflammatory infiltration were significantly increased, and RGS1 expression in the atrial tissue was upregulated. Conclusion: A common gene between AF and periodontitis, RGS1 appears central in linking the two conditions. Immune and inflammatory responses may underlie the interaction between AF and periodontitis. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Establishment of Risk Model and Analysis of Immunoinfiltration Based on Mitophagy-Related Associated Genes in Atrial Fibrillation

Author

Sang,Wanyue, Wang,Lu, Yan,Xiaoji, Sun,Huaxin, Han,Yafan, Wang,Feifei, Tang,Baopeng, and Li,Yaodong

Subjects
Journal of Inflammation Research
Abstract

Wanyue Sang,1,2,&ast; Lu Wang,1,2,&ast; Xiaoji Yan,3,&ast; Huaxin Sun,1,2 Yafan Han,1,2 Feifei Wang,1,2 Baopeng Tang,1,2 Yaodong Li1,2 1Cardiac Pacing and Electrophysiology Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Xinjiang Key Laboratory of Cardiac Electrophysiology and Cardiac Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 3Department of Emergency, Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yaodong Li; Baopeng Tang, Cardiac Pacing and Electrophysiology Department, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan Road, Urumqi, Xinjiang, 830000, People’s Republic of China, Tel/Fax +86 15099538881 ; +86 9914362614, Email lyd123@xjmu.edu.cn; tangbaopeng1111@163.comObjective: Atrial fibrillation (AF) is a common tachyarrhythmia whose pathogenesis remains elusive. In the present study, we aimed to investigate the pathological mechanism of mitophagy and immunoinfiltration in AF.Methods: First, we identified differentially expressed mitophagy-related genes (DEMRGs) based on the GSE79768 and GSE115574 datasets, subjecting them to functional enrichment analysis. STRING, TRRUST, miRNet, miRwalk, and Cytoscape were used to explore the potential regulatory roles of downstream signaling pathways. Subsequently, the random forest method was used to construct the AF risk model, and the DEMRGs most correlated with AF risk were determined by combining the Gini index. ssGSEA algorithm, NMF algorithm, and unsupervised clustering were used to subdivide AF molecular types. We then studied the characteristics of mitophagy- and immune infiltration-related genes in AF. Ultimately, we detected the expression of key genes in canine atrial tissues and HL-1 cells by immunofluorescence and Western blot.Results: Mitophagy and immune infiltration were significantly enriched and activated in AF samples. Thirty-seven DEMRGs were screened, of which MAPK1, VDAC1, MAPK14, and MTERF3 were most associated with AF risk. The risk model based on these could identify patients at a high risk of AF. The infiltration of immunocells such as mast cells and neutrophils was significantly different among AF types. Finally, expression verification indicated that the expression trend of four key genes in canine atrial muscle tissue and HL-1 cells was consistent.Conclusion: We found that mitophagy may participate in AF progression through immune activation. In addition, the AF risk prediction model composed of VDAC1, MAPK1, MAPK14, and MTERF3 has a good AF prediction performance, which provides new ideas for the study of AF pathogenesis and potential therapeutic targets.Keywords: atrial fibrillation, mitophagy, molecular subtypes, immune infiltration, random forest

Published
2023

38. Identification of a Novel Target Implicated in Chronic Obstructive Sleep Apnea-Related Atrial Fibrillation by Integrative Analysis of Transcriptome and Proteome

Author

Shen,Jun, Liang,Junqing, Rejiepu,Manzeremu, Yuan,Ping, Xiang,Jie, Guo,Yankai, Xiaokereti,Jiasuoer, Zhang,Ling, Tang,Baopeng, Shen,Jun, Liang,Junqing, Rejiepu,Manzeremu, Yuan,Ping, Xiang,Jie, Guo,Yankai, Xiaokereti,Jiasuoer, Zhang,Ling, and Tang,Baopeng

Abstract

Jun Shen,1,2,&ast; Junqing Liang,1,2,&ast; Manzeremu Rejiepu,1,2,&ast; Ping Yuan,3 Jie Xiang,1,2 Yankai Guo,1,2 Jiasuoer Xiaokereti,1,2 Ling Zhang,1,2 Baopeng Tang1,2 1Xinjiang Key Laboratory of Cardiac Electrophysiology and Cardiac Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Cardiac Pacing and Electrophysiology Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 3Department of Cardiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Ling Zhang, Xinjiang Key Laboratory of Cardiac Electrophysiology and Cardiac Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China, Tel/Fax +86 18690280833, Email ydzhangling@126.com Baopeng Tang, Cardiac Pacing and Electrophysiology Department, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan Road, Urumqi, Xinjiang, 830000, People’s Republic of China, Tel/Fax +86 13477301883, Email tangbaopeng1111@163.comObjective: This study aimed to identify a newly identified target involved in atrial fibrillation (AF) linked to chronic obstructive sleep apnea (COSA) through an integrative analysis of transcriptome and proteome.Methods: Fifteen beagle canines were randomly assigned to three groups: control (CON), obstructive sleep apnea (OSA), and OSA with superior left ganglionated plexi ablation (OSA+GP). A COSA model was established by intermittently obstructing the endotracheal cannula during exhalation for 12 weeks. Left parasternal thoracotomy through the fourth intercostal space allowed for superior left ganglionated plexi (SLGP) ablation. In vivo open-chest electrophysiological programmed stimulation was performed to assess AF inducibility. Histological, transcriptomic, and pr

Published
2023

46. Ultrasound-mediated piezoelectric nanoparticle modulation of intrinsic cardiac autonomic nervous system for rate control in atrial fibrillation

Author

Han, Jiapeng, primary, Zhang, Yuanzheng, additional, Wang, Xiaofei, additional, Zhang, Guocheng, additional, Yu, Zhiyao, additional, Wang, Changyi, additional, Xu, Tianyou, additional, Zhou, Zhen, additional, Yang, Xiaomeng, additional, Jin, Xiaoxing, additional, Liu, Chenzhe, additional, Zhou, Liping, additional, Wang, Yueyi, additional, Tang, Baopeng, additional, Guo, Shishang, additional, Jiang, Hong, additional, and Yu, Lilei, additional

Published
2023
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47. Increased β1-adrenergic receptor antibody confers a vulnerable substrate for atrial fibrillation via mediating Ca2+ mishandling and atrial fibrosis in active immunization rabbit models

Author

Sun, Huaxin, primary, Song, Jie, additional, Li, Kai, additional, Li, Yao, additional, Shang, Luxiang, additional, Zhou, Qina, additional, Lu, Yanmei, additional, Zong, Yazhen, additional, He, Xiuyuan, additional, Kari, Muzappar, additional, Yang, Hang, additional, Zhou, Xianhui, additional, Zhang, Ling, additional, and Tang, Baopeng, additional

Published
2023
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48. Monocyte-to-Hdl-C Ratio Indicates an Increased Risk of Ischemic Stroke in Patients with Atrial Fibrillation: A Case-Control Study

Author

Aniwaer, Zilalai, primary, Meng, Wei, additional, Zhang, Xiaoxue, additional, Ding, Huanhuan, additional, Maimaiti, Yakupujiang, additional, Zhang, Jing, additional, Wang, Yanwei, additional, Lu, Yanmei, additional, Yaodong, Li, additional, Zhang, Jianghua, additional, Xing, Qiang, additional, Tuerhong, Zukela, additional, Tang, Baopeng, additional, and Zhou, Xianhui, additional

Published
2023
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