利用超级计算机技术建立研究止血反应的准稳态模型

Petr V. Trifanov, Valeriia N. Kaneva, S. Strijhak, M. Panteleev, F. Ataullakhanov, J. Dunster, V. Voevodin, D. Nechipurenko
{"title":"利用超级计算机技术建立研究止血反应的准稳态模型","authors":"Petr V. Trifanov, Valeriia N. Kaneva, S. Strijhak, M. Panteleev, F. Ataullakhanov, J. Dunster, V. Voevodin, D. Nechipurenko","doi":"10.14529/jsfi180406","DOIUrl":null,"url":null,"abstract":"Formation of the platelet plug represents a primary response to the vessel wall injury, but may also result in vessel occlusion. The decrease of the local blood flow due to platelet thrombus formation may lead to serious complications, such as ischemic stroke and myocardial infarction. However, mechanisms responsible for regulation of thrombus dynamics are not clear. In order to get a deeper insight into the role of blood flow and platelet interactions in the formation of the primary platelet plug we developed a particle-based model of microvascular thrombosis using quasisteady flow approximation. In order to simulate thrombus dynamics at physiologically relevant timescales of several minutes, we took advantage of the supercomputer technologies. Our in silico analysis revealed the importance of platelet size heterogeneity for describing experimental data on microvascular thrombus formation. Thus, our model represents a useful tool for the supercomputeraided computational analysis of thrombus dynamics in the microvessels on physiologically relevant timescales.","PeriodicalId":338883,"journal":{"name":"Supercomput. Front. Innov.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Developing Quasi-Steady Model for Studying Hemostatic Response Using Supercomputer Technologies\",\"authors\":\"Petr V. Trifanov, Valeriia N. Kaneva, S. Strijhak, M. Panteleev, F. Ataullakhanov, J. Dunster, V. Voevodin, D. Nechipurenko\",\"doi\":\"10.14529/jsfi180406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Formation of the platelet plug represents a primary response to the vessel wall injury, but may also result in vessel occlusion. The decrease of the local blood flow due to platelet thrombus formation may lead to serious complications, such as ischemic stroke and myocardial infarction. However, mechanisms responsible for regulation of thrombus dynamics are not clear. In order to get a deeper insight into the role of blood flow and platelet interactions in the formation of the primary platelet plug we developed a particle-based model of microvascular thrombosis using quasisteady flow approximation. In order to simulate thrombus dynamics at physiologically relevant timescales of several minutes, we took advantage of the supercomputer technologies. Our in silico analysis revealed the importance of platelet size heterogeneity for describing experimental data on microvascular thrombus formation. Thus, our model represents a useful tool for the supercomputeraided computational analysis of thrombus dynamics in the microvessels on physiologically relevant timescales.\",\"PeriodicalId\":338883,\"journal\":{\"name\":\"Supercomput. Front. Innov.\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Supercomput. Front. Innov.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14529/jsfi180406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supercomput. Front. Innov.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14529/jsfi180406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

血小板栓的形成是对血管壁损伤的主要反应,但也可能导致血管闭塞。血小板血栓形成导致局部血流量减少,可导致严重的并发症,如缺血性卒中、心肌梗死等。然而,调控血栓动力学的机制尚不清楚。为了更深入地了解血流和血小板相互作用在初级血小板栓形成中的作用,我们使用准稳态血流近似开发了基于颗粒的微血管血栓形成模型。为了在几分钟的生理相关时间尺度上模拟血栓动力学,我们利用了超级计算机技术。我们的计算机分析揭示了血小板大小异质性对于描述微血管血栓形成的实验数据的重要性。因此,我们的模型代表了在生理学相关时间尺度上对微血管血栓动力学进行超级计算机辅助计算分析的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Developing Quasi-Steady Model for Studying Hemostatic Response Using Supercomputer Technologies
Formation of the platelet plug represents a primary response to the vessel wall injury, but may also result in vessel occlusion. The decrease of the local blood flow due to platelet thrombus formation may lead to serious complications, such as ischemic stroke and myocardial infarction. However, mechanisms responsible for regulation of thrombus dynamics are not clear. In order to get a deeper insight into the role of blood flow and platelet interactions in the formation of the primary platelet plug we developed a particle-based model of microvascular thrombosis using quasisteady flow approximation. In order to simulate thrombus dynamics at physiologically relevant timescales of several minutes, we took advantage of the supercomputer technologies. Our in silico analysis revealed the importance of platelet size heterogeneity for describing experimental data on microvascular thrombus formation. Thus, our model represents a useful tool for the supercomputeraided computational analysis of thrombus dynamics in the microvessels on physiologically relevant timescales.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Supercomputer-Based Modeling System for Short-Term Prediction of Urban Surface Air Quality River Routing in the INM RAS-MSU Land Surface Model: Numerical Scheme and Parallel Implementation on Hybrid Supercomputers Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation Multistage Iterative Method to Tackle Inverse Problems of Wave Tomography Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1