Electrochemical Biosensors for the Detection of Exosomal microRNA Biomarkers for Early Diagnosis of Neurodegenerative Diseases

化学 小RNA 生物传感器 诊断生物标志物 计算生物学 纳米技术 生物标志物 生物化学 基因 材料科学 生物
作者
Jiacheng Yu,Runzhi Zhou,Shan Liu,Jintao Zheng,Haoyang Yan,Song Su,Ningli Chai,Ester Segal,Cheng Jiang,Keying Guo,Chenzhong Li
出处
期刊:Analytical Chemistry [American Chemical Society]
标识
DOI:10.1021/acs.analchem.4c02619
摘要

Early and precise diagnosis of neurodegenerative disorders like Alzheimer's (AD) and Parkinson's (PD) is crucial for slowing their progression and enhancing patient outcomes. Exosomal microRNAs (miRNAs) are emerging as promising biomarkers due to their ability to reflect the diseases' pathology, yet their low abundance poses significant detection hurdles. This review article delves into the burgeoning field of electrochemical biosensors, designed for the precise detection of exosomal miRNA biomarkers. Electrochemical biosensors offer a compelling solution, combining the sensitivity required to detect low-abundance biomarkers with the specificity needed to discern miRNA profiles distinctive to neural pathological states. We explore the operational principles of these biosensors, including the electrochemical transduction mechanisms that facilitate miRNA detection. The review also summarizes advancements in nanotechnology, signal enhancement, bioreceptor anchoring, and microfluidic integration that improve sensor accuracy. The evidence of their use in neurodegenerative disease diagnosis is analyzed, focusing on the clinical impact, diagnostic precision, and obstacles faced in practical applications. Their potential integration into point-of-care testing and regulatory considerations for their market entry are discussed. Looking toward the future, the article highlights forthcoming innovations that might revolutionize early diagnostic processes. Electrochemical biosensors, with their impressive sensitivity, specificity, and point-of-care compatibility, are on track to become instrumental in the early diagnosis of neurodegenerative diseases, possibly transforming patient care and prognosis.
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
Zzzzccc发布了新的文献求助10
3秒前
4秒前
科研通AI5应助63采纳,获得10
4秒前
牛牛完成签到,获得积分10
6秒前
djf发布了新的文献求助10
8秒前
63完成签到,获得积分20
9秒前
华仔应助西西采纳,获得10
9秒前
lxd完成签到,获得积分10
10秒前
10秒前
Zzzzccc完成签到 ,获得积分10
14秒前
14秒前
ZJ发布了新的文献求助10
15秒前
ls完成签到,获得积分10
16秒前
16秒前
星辰大海应助周钰波采纳,获得20
17秒前
西西完成签到,获得积分10
18秒前
19秒前
20秒前
西西发布了新的文献求助10
20秒前
隐形曼青应助笙笙采纳,获得10
21秒前
ZJ完成签到,获得积分10
22秒前
prim发布了新的文献求助10
23秒前
归尘应助sywkamw采纳,获得30
23秒前
Singularity应助夹心吉吉采纳,获得10
24秒前
24秒前
26秒前
田様应助坦率的傲芙采纳,获得10
27秒前
机灵一兰完成签到 ,获得积分10
27秒前
李爱国应助美好鞅采纳,获得10
28秒前
科研通AI2S应助cis2014采纳,获得10
29秒前
30秒前
李新宇完成签到,获得积分20
32秒前
32秒前
FightingW完成签到,获得积分10
34秒前
传奇3应助稳重奇异果采纳,获得10
35秒前
solidcon发布了新的文献求助10
36秒前
慕青应助cc采纳,获得10
38秒前
43秒前
43秒前
43秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
ISCN 2024 – An International System for Human Cytogenomic Nomenclature (2024) 3000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Mindfulness and Character Strengths: A Practitioner's Guide to MBSP 380
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3776521
求助须知:如何正确求助?哪些是违规求助? 3322010
关于积分的说明 10208485
捐赠科研通 3037297
什么是DOI,文献DOI怎么找? 1666647
邀请新用户注册赠送积分活动 797596
科研通“疑难数据库(出版商)”最低求助积分说明 757872