您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Physiological Variations in CX43 and Fibrosis Deposition Affect Human Ventricular Electrophysiology Promoting Arrhythmia

文献类型： 会议论文

第一作者： Laura García-Mendívil

作者： Laura García-Mendívil 1 ; María Pérez-Zabalza 2 ; Ricardo M Rosales 3 ; José M Vallejo-Gil 4 ; Javier Fa?anás-Mastral 4 ; Manuel Vázquez-Sancho 4 ; Javier A Bellido-Morales 4 ; Alexánder S Vaca-Nú?ez 4 ; Carlos Ballester-Cuenca 4 ; Laura Ordovás 5 ; Esther Pueyo 3 ;

作者机构： 1.Aragon Institute of Engineering Research, University of Zaragoza, IIS Aragón, Zaragoza, Spain

2.Aragon Institute of Engineering Research, University of Zaragoza, IIS Aragón, Zaragoza, Spain|Centro Universitario de la Defensa (CUD), Zaragoza, Spain

3.Aragon Institute of Engineering Research, University of Zaragoza, IIS Aragón, Zaragoza, Spain|CIBER in Bioengineering, Biomaterials and Nanomedicine, Zaragoza, Spain

4.Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain

5.Aragon Institute of Engineering Research, University of Zaragoza, IIS Aragón, Zaragoza, Spain|Fundación Agencia Aragonesa para la Investigación y el Desarrollo (ARAID), Zaragoza, Spain

关键词： Arrhythmia;Computational modeling;Sociology;Fluorescence;Velocity measurement;Statistics;Junctions

会议名称： Computing in Cardiology Conference

主办单位：

页码： 1-4

摘要： Connexin 43 (Cx43), the major component of gap junctions in the ventricle, is responsible for electrical impulse transmission between ventricular cardiomyocytes. Little is known about the interindividual heterogeneity of CX43 tissue expression in the human left ventricle (LV) and its contribution to arrhythmogenecity either alone or in combination with other proarrhythmic factors like fibrosis. We processed LV fluorescent immunostaining images from living donors and characterized the population heterogeneity of CX43 expression and fibrosis deposition. The lowest CX43 expression and the highest fibrosis deposition values in the population were implemented in 2D computational models of human LV electrophysiology. We measured conduction velocity (CV) and areas of High Repolarization Gradient (HRG) from the simulated action potentials (APs), and the amplitude, duration and area of calculated unipolar electrograms (EGMs). Simulations showed that both reduced CX43 and fibrosis notably influence CV, HRG extent, EGM activation area and the dispersion of activation recovery intervals from EGMs, with a largest impact of CX43 reduction. In conclusion, decreased CX43 and increased fibrosis, to the extents measured in non-diseased human LV tissues, contribute to a substrate for the generation of reentrant arrhythmias, which can be quantified from ventricular EGMs.

分类号： tp3

  • 相关文献

[1]A Multilayer CNN Using the ECG, Age and Sex Predicts Ventricular Arrhythmias in the General Population. Julia Ramírez,Antonio Miguel,Stefan van Duijvenboden,Michele Orini,William J Young,Andrew Tinker,Pier D Lambiase,Patricia B Munroe,Juan Pablo Martínez. 2023

[2]Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. Kamilla Novák,Máté Siket,Levente Kovács,Dániel András Drexler,Gy?rgy Eigner. 2023

[3]Nature Inspired Optimization Algorithms in Fractional Order Controller Design. Eva-H. Dulf,Alexandru George Berciu,Lehel Dénes-Fazakas,Levente Kovacs. 2024

[4]QRS Width and T-Peak to T-End Interval Are Prolonged in Preadolescents with Severe Intrauterine Growth Restriction at Birth when Compared to Controls. Freddy L Bueno–Palomeque,Konstantinos A Mountris,Nuria Ortigosa,Raquel Bailón,Bart Bijnens,Fàtima Crispi,Esther Pueyo,Ana Mincholé,Pablo Laguna. 2023

[5]Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. Lehel Dénes-Fazakas,Gy?z? Dénes Fazakas,Gy?rgy Eigner,Levente Kovács,László Szilágyi. 2024

[6]A Synergy Cropland of China by Fusing Multiple Existing Maps and Statistics. Lu, Miao,Wu, Wenbin,You, Liangzhi,Chen, Di,Zhang, Li,Yang, Peng,Tang, Huajun,You, Liangzhi. 2017

[7]A simple and sensitive competitive bio-barcode immunoassay for triazophos based on multi-modified gold nanoparticles and fluorescent signal amplification. Zhang, Chan,Jiang, Zejun,Jin, Maojun,Chen, Ge,Cao, Xiaolin,Cui, Xueyan,Zhang, Yudan,Li, Ruixing,Wang, Jing,Zhang, Chan,Jiang, Zejun,Jin, Maojun,Chen, Ge,Cao, Xiaolin,Cui, Xueyan,Zhang, Yudan,Li, Ruixing,Wang, Jing,Du, Pengfei,Du, Pengfei,Du, Pengfei,Abd El-Aty, A. M.,Abd El-Aty, A. M.. 2018

[8]A Turn-On Fluorescent Sensor for Selective and Sensitive Detection of Alkaline Phosphatase Activity with Gold Nanoclusters Based on Inner Filter Effect. Liu, Haijian,Li, Ming,Ren, Xueqin,Xia, Yining. 2017

[9]Study on the interaction between cyanobacteria FBP/SBPase and metal ions. Sun, Yao,Liao, Xun,Li, Ding,Feng, Lingling,Wang, Xiaofeng,Jin, Jing,Yi, Fan,Zhou, Li,Wan, Jian,Li, Jun.

[10]Ultrasensitive detection of lead(II) using a turn-on probe based on the use of an aptamer and a water-soluble fluorescent perylene probe. Yan, Mengmeng,Zhu, Chao,Huang, Yafei,Yan, Jiao,Chen, Ailiang,Yan, Mengmeng,Zhu, Chao,Huang, Yafei,Yan, Jiao,Chen, Ailiang,Huang, Yafei,Yan, Jiao.

[11]Application of Au based nanomaterials in analytical science. Wang, Peilong,Su, Xiaoou,Tang, Zhiyong,Lin, Zhenyu.

[12]Detecting peanuts inoculated with toxigenic and atoxienic Aspergillus flavus strains with fluorescence hyperspectral imagery. Xing, Fuguo,Yao, Haibo,Hruska, Zuzana,Kincaid, Russell,Zhu, Fengle,Xing, Fuguo,Liu, Yang,Xing, Fuguo,Brown, Robert L.,Bhatnagar, Deepak. 2017

[13]A simple and sensitive label-free fluorescent approach for protein detection based on a Perylene probe and aptamer. Lv, Zhenzhen,Liu, Jinchuan,Bai, Wenhui,Yang, Shuming,Chen, Ailiang,Lv, Zhenzhen,Liu, Jinchuan,Bai, Wenhui,Yang, Shuming,Chen, Ailiang,Lv, Zhenzhen.

[14]Detection of Chlortetracycline Residues in pork Using Silver Nanoparticle Surface-Enhanced Fluorescence of Eu(III)-Chlortetracycline Complexes. Ning Xu,Yijie Peng,Muhua Liu,Jinhui Zhao,Haichao Yuan,Hongqing Guo. 2018

[15]Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. Potgieter A. B,Camino C,Poblete T,Zhi X,Reynolds-Massey-Reed S,Zhao Y,Belwalkar A,Ruizhu J,George-Jaeggli B,Chapman S,Jordan D,Wu A,Hammer G. L,Zarco-Tejada P. J. 2023

[16]In vivo, noncontact, real-time, optical and spectroscopic assessment of the immediate local physiological response to spinal cord injury in a rat model. Seth Fillioe,Kyle Kelly Bishop,Alexander Vincent Struck Jannini,Jon Kim,Ricky McDonough,Steve Ortiz,Jerry Goodisman,Julie Hasenwinkel,J. Chaiken. 2018

[17]Enzyme-based fluorometric image-sensing of transdermal gases for monitoring metabolisms. Kenta Iitani,Koji Toma,Takahiro Arakawa,Kohji Mitsubayashi. 2023

[18]Detection and Analysis of Fluorescent Nanoparticles Using an In-house Built Spectrofluorometer. Priyanka. P,Ashwin Kumar Narasimhan,Sameera Fathimal. M,Angeline Kirubha S. P. 2023

[19]Pyrazoloquinolines - Alternative Chromophores for Organic LED Fabrication. Jacek Niziol,Andrzej Danel,Ewa Gondek,Pawel Armatys,Jerzy Sanetra,Gisele Boiteux. 2004

[20]Bio-fluorometric realtime gas-imaging system (sniff-cam) for skin ethanol vapor. Kenta Iitani,Toshiyuki Sato,Koji Toma,Takahiro Arakawa,Kohji Mitsubayashi. 2019

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台