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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
鹤昀完成签到 ,获得积分10
1秒前
Lucas应助abcd采纳,获得10
2秒前
2秒前
量子星尘发布了新的文献求助10
3秒前
mayi完成签到,获得积分10
3秒前
mojojo完成签到 ,获得积分10
3秒前
orixero应助大葱蘸酱采纳,获得10
5秒前
在水一方应助武雨寒采纳,获得10
5秒前
6秒前
7秒前
kitty完成签到 ,获得积分10
9秒前
abcd完成签到,获得积分10
9秒前
正在获取昵称中...完成签到,获得积分10
10秒前
WFLLL完成签到,获得积分10
10秒前
君兰发布了新的文献求助10
10秒前
10秒前
白桦林泪完成签到,获得积分10
14秒前
yyf完成签到,获得积分10
14秒前
14秒前
16秒前
16秒前
婷婷婷完成签到 ,获得积分10
16秒前
白桦林泪发布了新的文献求助10
18秒前
雨齐完成签到,获得积分10
19秒前
20秒前
黄奕发布了新的文献求助10
22秒前
哈牛完成签到,获得积分10
23秒前
23秒前
量子星尘发布了新的文献求助10
24秒前
研友_5Zl9D8完成签到,获得积分0
25秒前
一万光年完成签到,获得积分10
26秒前
26秒前
科研通AI5应助大葱蘸酱采纳,获得10
26秒前
陈麦子完成签到,获得积分10
27秒前
邵邵完成签到,获得积分10
27秒前
CC完成签到,获得积分10
27秒前
29秒前
29秒前
29秒前
30秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Plutonium Handbook 4000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1500
Building Quantum Computers 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 900
Principles of Plasma Discharges and Materials Processing,3rd Edition 500
Atlas of Quartz Sand Surface Textures 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4217694
求助须知:如何正确求助?哪些是违规求助? 3751672
关于积分的说明 11796775
捐赠科研通 3416379
什么是DOI,文献DOI怎么找? 1875044
邀请新用户注册赠送积分活动 928807
科研通“疑难数据库(出版商)”最低求助积分说明 837849