Mathematical models on bone cell homeostasis and kinetics in the presence of electric fields: A review

平衡 动力学 计算机科学 医学 物理 内科学 经典力学
作者
Poh Soo Lee,Kiran Kumar Sriperumbudur,Jonathan E. Dawson,Ursula van Rienen,Revathi Appali
出处
期刊:Progress in Biomedical Engineering 卷期号:7 (1): 012004-012004 被引量:2
标识
DOI:10.1088/2516-1091/ad9530
摘要

Abstract The role of bioelectricity in regulating various physiological processes has attracted increasing scientific interest in implementing exogenous electrical stimulations as a therapeutic approach. In particular, electrical stimuli are used clinically in pre-/post-surgery patient care for the musculoskeletal tissues. The reported potential of electric fields (EF) to regulate bone cell homeostasis and kinetics in vitro has further provoked more studies in this field of research. Various customised apparatuses have been developed, and a range of parameters for the applied EFs have been investigated in vitro with bone cells or mesenchymal stem cells. Additionally, biomaterials with conductive or piezo-electric properties have been designed to complement the enhancing effects of the EF on bone regeneration. Despite much research, there remained a significant gap in knowledge due to the diverse range of EF parameters available. Mathematical models are built to facilitate further understanding and zero in on an effective range of EF parameters in silico . However, the diverse range of EF parameters, experimental conditions, and reported analytical output of different works of literature were reported to possess significant variance, making it challenging to accurately model the field in silico . This review categorises the existing experimental approaches and the parameters used to distinguish the potential variables that apply to mathematical modelling. Furthermore, we will discuss existing modelling approaches and models available in the literature. With this, we will concisely highlight the need to categorise EF parameters, osteogenic differentiation initiators and research output.
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

祝大家在新的一年里科研腾飞
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
2秒前
Jacinta完成签到 ,获得积分10
2秒前
在水一方应助arniu2008采纳,获得10
3秒前
斯文败类应助Huay采纳,获得10
3秒前
小马甲应助二浪采纳,获得10
3秒前
徐向成发布了新的文献求助10
4秒前
5秒前
lanxinyue应助凯nb1采纳,获得10
6秒前
7秒前
8秒前
DrShiva发布了新的文献求助10
10秒前
12秒前
小福完成签到 ,获得积分10
13秒前
香蕉觅云应助wulala采纳,获得10
15秒前
木仓完成签到,获得积分10
17秒前
Huay发布了新的文献求助10
17秒前
dodo完成签到 ,获得积分10
18秒前
捉迷藏完成签到,获得积分0
18秒前
斯文败类应助否定的否定采纳,获得10
18秒前
大模型应助fanghua采纳,获得10
19秒前
mary完成签到,获得积分10
20秒前
活着完成签到 ,获得积分10
21秒前
席涑发布了新的文献求助10
22秒前
泽宇完成签到,获得积分20
26秒前
26秒前
记忆力超人完成签到,获得积分10
27秒前
孟相浩完成签到,获得积分10
30秒前
31秒前
ACh3完成签到 ,获得积分10
33秒前
汉堡包应助苏州小北采纳,获得10
34秒前
我是老大应助啦啦啦采纳,获得10
34秒前
李爱国应助纯真的凝安采纳,获得10
37秒前
37秒前
songmt1988完成签到,获得积分10
38秒前
烟花应助阿七采纳,获得10
39秒前
lucky完成签到,获得积分10
40秒前
40秒前
40秒前
ding应助平淡南霜采纳,获得10
41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
Operational Bulk Evaporation Duct Model for MORIAH Version 1.2 1200
Signals, Systems, and Signal Processing 880
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 800
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Discrete-Time Signals and Systems 510
Clinical Efficacy of the Hydrogel Patch Containing Loxoprofen Sodium (LX-A) on Osteoarthritis of the Knee-A Randomized, Open Label Clinical Study with Ketoprofen Patch-(Phase III Therapeutic Confirmatory Study) 410
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5844240
求助须知:如何正确求助?哪些是违规求助? 6188196
关于积分的说明 15613700
捐赠科研通 4960994
什么是DOI,文献DOI怎么找? 2674616
邀请新用户注册赠送积分活动 1619472
关于科研通互助平台的介绍 1574742