Li Fei, Stewart Callum, Yang Shijie, Shi Fangfang, Cui Wenyu, Zhang Shuming, Wang Hao, Huang Hui, Chen Mingqi, Han Jinsong
State Key Laboratory of Natural Medicines, Department of Food Quality and Safety, National R&D Center for Chinese Herbal Medicine Processing, College of Engineering, China Pharmaceutical University, Nanjing, China.
Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Hong Kong, China.
Front Chem. 2022 Apr 4;10:874864. doi: 10.3389/fchem.2022.874864. eCollection 2022.
Alzheimer's disease (AD) is the most common neurodegenerative disorder and has complicated pathobiology, leading to irreversible memory loss and severe cognitive dysfunction. For patients with AD, the advent of the disease usually occurs after years of pathological changes. The early diagnosis and monitoring of AD are of great significance as the early-stage intervention and treatment may be the most effective. Biomarkers, such as beta-amyloid and tau levels in cerebrospinal fluid (CSF) and brain, offer one of the most promising paths and are combined with neuroimaging and immunological detection for AD diagnosis. However, high expense and radiation of neuroimaging and low sensitivity of immunosorbent assay limited their applications. Meanwhile, the relevance of A peptides and tau proteins to the development of AD remains highly debatable, meaning that detecting one specific biomarker holds limited prospects in achieving early and accurate detection of AD. Optical sensor arrays based on pattern recognition enable the discrimination of multiple analytes in complicated environments and are thus highly advantageous for the detection of AD with multi-biomarkers. In this review, we survey the recent advances of optical sensor arrays for the diagnosis of AD, as well as the remaining challenges.
阿尔茨海默病(AD)是最常见的神经退行性疾病,其病理生物学过程复杂,会导致不可逆的记忆丧失和严重的认知功能障碍。对于AD患者而言,疾病的出现通常是在多年的病理变化之后。AD的早期诊断和监测具有重要意义,因为早期干预和治疗可能最为有效。生物标志物,如脑脊液(CSF)和大脑中的β-淀粉样蛋白和tau蛋白水平,提供了最有前景的途径之一,并与神经影像学和免疫检测相结合用于AD诊断。然而,神经影像学的高成本和辐射以及免疫吸附测定的低灵敏度限制了它们的应用。同时,A肽和tau蛋白与AD发展的相关性仍存在很大争议,这意味着检测一种特定的生物标志物在实现AD的早期准确检测方面前景有限。基于模式识别的光学传感器阵列能够在复杂环境中区分多种分析物,因此在检测多种生物标志物的AD方面具有很大优势。在本综述中,我们概述了用于AD诊断的光学传感器阵列的最新进展以及尚存的挑战。