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
1秒前
小蘑菇应助XXXXX采纳,获得10
1秒前
Waou完成签到,获得积分10
2秒前
天秤座1010发布了新的文献求助10
2秒前
千千结发布了新的文献求助10
4秒前
6秒前
7秒前
lemono_o完成签到,获得积分10
8秒前
8秒前
丘比特应助虚幻孤丹采纳,获得10
9秒前
xiyan完成签到,获得积分10
10秒前
Jasper应助大笨猪whr采纳,获得10
10秒前
啦啦啦完成签到,获得积分10
11秒前
无糖发布了新的文献求助10
12秒前
13秒前
14秒前
可恶的鼠发布了新的文献求助10
14秒前
科研小桶完成签到,获得积分10
15秒前
kamome完成签到,获得积分10
15秒前
整齐的无剑完成签到 ,获得积分10
16秒前
清欢完成签到 ,获得积分10
16秒前
山有色完成签到,获得积分10
16秒前
大花生小米完成签到,获得积分10
16秒前
pluto完成签到,获得积分10
16秒前
科研通AI6.4应助千千结采纳,获得10
16秒前
开心的颤完成签到,获得积分10
17秒前
zsl发布了新的文献求助10
17秒前
ll200207发布了新的文献求助20
18秒前
19秒前
英姑应助无糖采纳,获得10
20秒前
Ava应助如意铅笔采纳,获得10
21秒前
ad完成签到,获得积分10
21秒前
紫色哀伤完成签到,获得积分10
22秒前
23秒前
23秒前
XXXXX发布了新的文献求助10
23秒前
24秒前
zsl完成签到,获得积分10
25秒前
25秒前
Lee发布了新的文献求助10
26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
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Lengua e imagen en la comunicación digital 500
A First Course in Options Pricing Theory 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7477642
求助须知:如何正确求助?哪些是违规求助? 9071670
关于积分的说明 19343032
捐赠科研通 7095423
什么是DOI,文献DOI怎么找? 3246608
关于科研通互助平台的介绍 2416061
邀请新用户注册赠送积分活动 2232002