Mathematical modeling of plaque progression and associated microenvironment: How far from predicting the fate of atherosclerosis?

计算模型 计算机科学 补语(音乐) 疾病 脆弱性(计算) 平滑肌 炎症 神经科学 医学 人工智能 病理 生物 免疫学 基因 内科学 表型 互补 生物化学 计算机安全
作者
Yan Cai,Zhiyong Li
出处
期刊:Computer Methods and Programs in Biomedicine [Elsevier BV]
卷期号:211: 106435-106435 被引量:10
标识
DOI:10.1016/j.cmpb.2021.106435
摘要

• We summarize the current ‘state of the art’ on the mathematical modeling of the effects of biomechanical factors and microenvironmental factors on the plaque progression, and its potential help in prediction of plaque development. • We present an outlook on open problems and multiple challenges that require novel modelling techniques and more integrations with experimental and clinical investigations. Mathematical modeling contributes to pathophysiological research of atherosclerosis by helping to elucidate mechanisms and by providing quantitative predictions that can be validated. In turn, the complexity of atherosclerosis is well suited to quantitative approaches as it provides challenges and opportunities for new developments of modeling. In this review, we summarize the current ‘state of the art’ on the mathematical modeling of the effects of biomechanical factors and microenvironmental factors on the plaque progression, and its potential help in prediction of plaque development. We begin with models that describe the biomechanical environment inside and outside the plaque and its influence on its growth and rupture. We then discuss mathematical models that describe the dynamic evolution of plaque microenvironmental factors, such as lipid deposition, inflammation, smooth muscle cells migration and intraplaque hemorrhage, followed by studies on plaque growth and progression using these modelling approaches. Moreover, we present several key questions for future research. Mathematical models can complement experimental and clinical studies, but also challenge current paradigms, redefine our understanding of mechanisms driving plaque vulnerability and propose future potential direction in therapy for cardiovascular disease.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
天天发布了新的文献求助10
1秒前
文艺采文完成签到,获得积分10
1秒前
2秒前
Zoey09完成签到,获得积分10
2秒前
麟语桐完成签到 ,获得积分10
2秒前
小蘑菇应助ppat5012采纳,获得10
2秒前
2秒前
爆米花应助谨慎小虾米采纳,获得10
3秒前
书卷不掩侠气完成签到 ,获得积分10
3秒前
4秒前
4秒前
凡夫俗子完成签到,获得积分10
4秒前
万能图书馆应助自由念露采纳,获得10
4秒前
eeush完成签到,获得积分10
4秒前
4秒前
王荣利完成签到,获得积分10
4秒前
科研通AI6.3应助李治稳采纳,获得10
4秒前
还如一梦中完成签到,获得积分10
5秒前
搜集达人应助李朝富采纳,获得10
5秒前
5秒前
5秒前
东方元语发布了新的文献求助10
5秒前
6秒前
小小传说完成签到,获得积分20
7秒前
Guoyut发布了新的文献求助100
7秒前
飞飞发布了新的文献求助30
7秒前
8秒前
杨咩咩完成签到,获得积分10
8秒前
典雅初露发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
大模型应助古往今来采纳,获得10
9秒前
9秒前
10秒前
Zoey完成签到,获得积分10
10秒前
huihui完成签到,获得积分10
10秒前
Spike发布了新的文献求助10
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6422286
求助须知:如何正确求助?哪些是违规求助? 8241174
关于积分的说明 17516843
捐赠科研通 5476343
什么是DOI,文献DOI怎么找? 2892815
邀请新用户注册赠送积分活动 1869266
关于科研通互助平台的介绍 1706703