Heart-on-a-chip platforms and biosensor integration for disease modeling and phenotypic drug screening

精密医学 药物开发 诱导多能干细胞 临床试验 疾病 医学 计算机科学 杠杆(统计) 药物发现 药品 风险分析(工程) 计算生物学 生物信息学 药理学 生物 病理 人工智能 胚胎干细胞 基因 生物化学
作者
Joseph Criscione,Zahra Rezaei,Carol M. Hernandez Cantu,Sean Murphy,Su Ryon Shin,Deok‐Ho Kim
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:220: 114840-114840 被引量:53
标识
DOI:10.1016/j.bios.2022.114840
摘要

Heart disease is the leading cause of death worldwide and imposes a significant burden on healthcare systems globally. A major hurdle to the development of more effective therapeutics is the reliance on animal models that fail to faithfully recapitulate human pathophysiology. The predictivity of in vitro models that lack the complexity of in vivo tissue remain poor as well. To combat these issues, researchers are developing organ-on-a-chip models of the heart that leverage the use of human induced pluripotent stem cell-derived cardiomyocytes in combination with novel platforms engineered to better recapitulate tissue- and organ-level physiology. The integration of novel biosensors into these platforms is also a critical step in the development of these models, as they allow for increased throughput, real-time and longitudinal phenotypic assessment, and improved efficiency during preclinical disease modeling and drug screening studies. These platforms hold great promise for both improving our understanding of heart disease as well as for screening potential therapeutics based on clinically relevant endpoints with better predictivity of clinical outcomes. In this review, we describe state-of-the-art heart-on-a-chip platforms, the integration of novel biosensors into these models for real-time and continual monitoring of tissue-level physiology, as well as their use for modeling heart disease and drug screening applications. We also discuss future perspectives and further advances required to enable clinical trials-on-a-chip and next-generation precision medicine platforms.
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
烟花应助芋圆采纳,获得10
刚刚
承影完成签到,获得积分10
刚刚
1秒前
百尺竿头发布了新的文献求助10
2秒前
2秒前
2秒前
Lucas应助墨酒子采纳,获得10
3秒前
3秒前
4秒前
4秒前
5秒前
桦奕兮完成签到 ,获得积分10
5秒前
huanghuahua发布了新的文献求助10
5秒前
magelinna发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
yytt发布了新的文献求助10
7秒前
科研通AI6.3应助木子采纳,获得10
8秒前
fuchao发布了新的文献求助30
8秒前
积极的邴完成签到,获得积分10
9秒前
fayestavel发布了新的文献求助10
10秒前
10秒前
知名不具完成签到 ,获得积分10
10秒前
11秒前
11秒前
丸子发布了新的文献求助10
11秒前
tan_sg发布了新的文献求助30
11秒前
12秒前
科目三应助ndsiu采纳,获得10
12秒前
cc2004bj应助清爽幼枫采纳,获得10
12秒前
12秒前
13秒前
薏米人儿完成签到 ,获得积分10
13秒前
充电宝应助Roger采纳,获得10
14秒前
14秒前
14秒前
katana发布了新的文献求助10
16秒前
田様应助禾斗石开通采纳,获得10
16秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6010528
求助须知:如何正确求助?哪些是违规求助? 7555689
关于积分的说明 16133878
捐赠科研通 5157150
什么是DOI,文献DOI怎么找? 2762232
邀请新用户注册赠送积分活动 1740857
关于科研通互助平台的介绍 1633443