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]
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
郭擎擎完成签到,获得积分10
1秒前
FashionBoy应助高宇采纳,获得10
2秒前
Mrsummer发布了新的文献求助10
2秒前
小郭发布了新的文献求助10
3秒前
拓跋箴发布了新的文献求助10
3秒前
4秒前
淡淡的航空完成签到,获得积分10
4秒前
sqz完成签到,获得积分10
4秒前
梦城完成签到,获得积分10
5秒前
852应助科研通管家采纳,获得10
5秒前
5秒前
慕青应助Nisaix采纳,获得10
5秒前
华仔应助科研通管家采纳,获得30
5秒前
5秒前
5秒前
CodeCraft应助科研通管家采纳,获得10
5秒前
思源应助科研通管家采纳,获得10
6秒前
wsyiming完成签到,获得积分10
6秒前
英姑应助科研通管家采纳,获得10
6秒前
香蕉觅云应助科研通管家采纳,获得10
6秒前
我是老大应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
我喜欢高浩洋应助niu采纳,获得10
6秒前
7秒前
7秒前
9秒前
9秒前
脑洞疼应助快乐的远航采纳,获得10
9秒前
小冰完成签到,获得积分10
9秒前
科研通AI6.3应助张巨锋采纳,获得10
9秒前
万能图书馆应助飞鱼采纳,获得10
9秒前
情怀应助生动的翠容采纳,获得10
10秒前
所所应助林沫采纳,获得10
10秒前
10秒前
林木完成签到,获得积分10
10秒前
领导范儿应助hhh采纳,获得10
10秒前
传奇3应助Mrsummer采纳,获得10
12秒前
12秒前
CipherSage应助酒酿圆子采纳,获得10
12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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6053426
求助须知:如何正确求助?哪些是违规求助? 7872390
关于积分的说明 16278311
捐赠科研通 5198785
什么是DOI,文献DOI怎么找? 2781636
邀请新用户注册赠送积分活动 1764556
关于科研通互助平台的介绍 1646184