基于细胞外囊泡的阿尔茨海默病生物传感器:精确诊断的新前沿

IF 12.4 1区 医学 Q1 CELL BIOLOGY
Jinjin Pei , Nishanthi Chella Perumal , Panpan Meng , Qianfa Long , Chella Perumal Palanisamy
{"title":"基于细胞外囊泡的阿尔茨海默病生物传感器:精确诊断的新前沿","authors":"Jinjin Pei ,&nbsp;Nishanthi Chella Perumal ,&nbsp;Panpan Meng ,&nbsp;Qianfa Long ,&nbsp;Chella Perumal Palanisamy","doi":"10.1016/j.arr.2025.102904","DOIUrl":null,"url":null,"abstract":"<div><div>Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, remains a diagnostic challenge due to its asymptomatic early stages and the lack of reliable, non-invasive biomarkers. Extracellular vesicles (EVs), including exosomes and microvesicles, are nano-sized membrane-bound particles released by cells into biological fluids and have emerged as promising carriers of disease-specific biomarkers. These vesicles reflect the physiological and pathological state of their parental cells, encapsulating proteins, lipids, and nucleic acids relevant to AD pathology, such as amyloid-β, tau, and microRNAs. Recent advances in biosensor technology have enabled the development of highly sensitive and specific platforms to detect EV-associated biomarkers. Integrating EVs with biosensing approaches—ranging from electrochemical and optical sensors to nanomaterial-based systems—represents a promising strategy for early AD diagnosis, monitoring disease progression, and evaluating therapeutic efficacy. However, these technologies remain largely in preclinical or early translational stages, with further validation required in large-scale clinical cohorts. This review provides a comprehensive overview of the recent progress in EV-based biosensor technologies, highlighting their analytical performance, detection principles, and clinical relevance in AD diagnostics. Furthermore, we discuss the current challenges, such as standardization in EV isolation and characterization, and propose future perspectives for translating these innovative diagnostic tools into clinical practice. The integration of EV biology with advanced biosensing technologies represents an emerging advancement with strong potential for precision medicine in AD, although clinical translation will require rigorous validation and standardization.</div></div>","PeriodicalId":55545,"journal":{"name":"Ageing Research Reviews","volume":"113 ","pages":"Article 102904"},"PeriodicalIF":12.4000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extracellular vesicle-based biosensors for Alzheimer’s disease: A new frontier in precision diagnostics\",\"authors\":\"Jinjin Pei ,&nbsp;Nishanthi Chella Perumal ,&nbsp;Panpan Meng ,&nbsp;Qianfa Long ,&nbsp;Chella Perumal Palanisamy\",\"doi\":\"10.1016/j.arr.2025.102904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, remains a diagnostic challenge due to its asymptomatic early stages and the lack of reliable, non-invasive biomarkers. Extracellular vesicles (EVs), including exosomes and microvesicles, are nano-sized membrane-bound particles released by cells into biological fluids and have emerged as promising carriers of disease-specific biomarkers. These vesicles reflect the physiological and pathological state of their parental cells, encapsulating proteins, lipids, and nucleic acids relevant to AD pathology, such as amyloid-β, tau, and microRNAs. Recent advances in biosensor technology have enabled the development of highly sensitive and specific platforms to detect EV-associated biomarkers. Integrating EVs with biosensing approaches—ranging from electrochemical and optical sensors to nanomaterial-based systems—represents a promising strategy for early AD diagnosis, monitoring disease progression, and evaluating therapeutic efficacy. However, these technologies remain largely in preclinical or early translational stages, with further validation required in large-scale clinical cohorts. This review provides a comprehensive overview of the recent progress in EV-based biosensor technologies, highlighting their analytical performance, detection principles, and clinical relevance in AD diagnostics. Furthermore, we discuss the current challenges, such as standardization in EV isolation and characterization, and propose future perspectives for translating these innovative diagnostic tools into clinical practice. The integration of EV biology with advanced biosensing technologies represents an emerging advancement with strong potential for precision medicine in AD, although clinical translation will require rigorous validation and standardization.</div></div>\",\"PeriodicalId\":55545,\"journal\":{\"name\":\"Ageing Research Reviews\",\"volume\":\"113 \",\"pages\":\"Article 102904\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ageing Research Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1568163725002508\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ageing Research Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1568163725002508","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

阿尔茨海默病(AD)是最常见的神经退行性疾病,由于其无症状的早期阶段和缺乏可靠的非侵入性生物标志物,仍然是一个诊断挑战。细胞外囊泡(EVs),包括外泌体和微囊泡,是由细胞释放到生物体液中的纳米级膜结合颗粒,已成为疾病特异性生物标志物的有前途的载体。这些囊泡反映了亲本细胞的生理和病理状态,包裹着与阿尔茨海默病病理相关的蛋白质、脂质和核酸,如淀粉样蛋白-β、tau蛋白和microrna。生物传感器技术的最新进展使检测ev相关生物标志物的高灵敏度和特异性平台的发展成为可能。将电动汽车与生物传感方法(从电化学和光学传感器到基于纳米材料的系统)相结合,代表了早期AD诊断、监测疾病进展和评估治疗效果的一种有前途的策略。然而,这些技术在很大程度上仍处于临床前或早期转化阶段,需要在大规模临床队列中进一步验证。本文综述了基于ev的生物传感器技术的最新进展,重点介绍了它们的分析性能、检测原理和在AD诊断中的临床意义。此外,我们讨论了当前的挑战,如EV分离和表征的标准化,并提出了将这些创新诊断工具转化为临床实践的未来前景。EV生物学与先进的生物传感技术的结合代表了一种新兴的进步,在阿尔茨海默病的精准医疗方面具有强大的潜力,尽管临床转化需要严格的验证和标准化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracellular vesicle-based biosensors for Alzheimer’s disease: A new frontier in precision diagnostics
Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, remains a diagnostic challenge due to its asymptomatic early stages and the lack of reliable, non-invasive biomarkers. Extracellular vesicles (EVs), including exosomes and microvesicles, are nano-sized membrane-bound particles released by cells into biological fluids and have emerged as promising carriers of disease-specific biomarkers. These vesicles reflect the physiological and pathological state of their parental cells, encapsulating proteins, lipids, and nucleic acids relevant to AD pathology, such as amyloid-β, tau, and microRNAs. Recent advances in biosensor technology have enabled the development of highly sensitive and specific platforms to detect EV-associated biomarkers. Integrating EVs with biosensing approaches—ranging from electrochemical and optical sensors to nanomaterial-based systems—represents a promising strategy for early AD diagnosis, monitoring disease progression, and evaluating therapeutic efficacy. However, these technologies remain largely in preclinical or early translational stages, with further validation required in large-scale clinical cohorts. This review provides a comprehensive overview of the recent progress in EV-based biosensor technologies, highlighting their analytical performance, detection principles, and clinical relevance in AD diagnostics. Furthermore, we discuss the current challenges, such as standardization in EV isolation and characterization, and propose future perspectives for translating these innovative diagnostic tools into clinical practice. The integration of EV biology with advanced biosensing technologies represents an emerging advancement with strong potential for precision medicine in AD, although clinical translation will require rigorous validation and standardization.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ageing Research Reviews
Ageing Research Reviews 医学-老年医学
CiteScore
19.80
自引率
2.30%
发文量
216
审稿时长
55 days
期刊介绍: With the rise in average human life expectancy, the impact of ageing and age-related diseases on our society has become increasingly significant. Ageing research is now a focal point for numerous laboratories, encompassing leaders in genetics, molecular and cellular biology, biochemistry, and behavior. Ageing Research Reviews (ARR) serves as a cornerstone in this field, addressing emerging trends. ARR aims to fill a substantial gap by providing critical reviews and viewpoints on evolving discoveries concerning the mechanisms of ageing and age-related diseases. The rapid progress in understanding the mechanisms controlling cellular proliferation, differentiation, and survival is unveiling new insights into the regulation of ageing. From telomerase to stem cells, and from energy to oxyradical metabolism, we are witnessing an exciting era in the multidisciplinary field of ageing research. The journal explores the cellular and molecular foundations of interventions that extend lifespan, such as caloric restriction. It identifies the underpinnings of manipulations that extend lifespan, shedding light on novel approaches for preventing age-related diseases. ARR publishes articles on focused topics selected from the expansive field of ageing research, with a particular emphasis on the cellular and molecular mechanisms of the aging process. This includes age-related diseases like cancer, cardiovascular disease, diabetes, and neurodegenerative disorders. The journal also covers applications of basic ageing research to lifespan extension and disease prevention, offering a comprehensive platform for advancing our understanding of this critical field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信