{"title":"基于单纳米酶传感器阵列的蛋白质结构变化和疾病特异性淀粉样蛋白聚集体的荧光指纹识别","authors":"Yang Xiao, Min Zhang* and Na Lu*, ","doi":"10.1021/acs.analchem.4c0550810.1021/acs.analchem.4c05508","DOIUrl":null,"url":null,"abstract":"<p >The misfolding of amyloid β (Aβ) peptides into an aggregation state is a central hallmark of the onset of Alzheimer’s disease (AD). However, conventional methods are mainly focused on detecting a specific Aβ peptide, which makes it difficult to recognize multiple analytes with different topological features and unfolded states at the same time. Here, we propose a simple and universal sensing strategy to construct a fluorescence sensor array by using a single-nanozyme probe combined with three fluorescent substrates as three recognition units to probe the protein structural changes and identify between multiple Aβ assemblies. In this sensor system, the fingerprint-like patterns are produced from the nonspecific interactions between topological proteins and the sensing units. As a result, this sensor array can accurately identify 13 kinds of proteins and their mixtures at different ratios. Moreover, the sensor array can discriminate against proteins with unfolded states and diverse conformational forms. Most importantly, the sensor array successfully distinguishes between multiple Aβ species, even in artificial cerebrospinal fluid samples and human serum samples. This work provides an attractive and reliable strategy for predicting pathologically relevant proteins and clinical diagnosis of AD.</p>","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"97 9","pages":"4978–4986 4978–4986"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fluorescent Fingerprint Identification of Protein Structural Changes and Disease-Specific Amyloid Beta Aggregates Based on a Single-Nanozyme Sensor Array\",\"authors\":\"Yang Xiao, Min Zhang* and Na Lu*, \",\"doi\":\"10.1021/acs.analchem.4c0550810.1021/acs.analchem.4c05508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The misfolding of amyloid β (Aβ) peptides into an aggregation state is a central hallmark of the onset of Alzheimer’s disease (AD). However, conventional methods are mainly focused on detecting a specific Aβ peptide, which makes it difficult to recognize multiple analytes with different topological features and unfolded states at the same time. Here, we propose a simple and universal sensing strategy to construct a fluorescence sensor array by using a single-nanozyme probe combined with three fluorescent substrates as three recognition units to probe the protein structural changes and identify between multiple Aβ assemblies. In this sensor system, the fingerprint-like patterns are produced from the nonspecific interactions between topological proteins and the sensing units. As a result, this sensor array can accurately identify 13 kinds of proteins and their mixtures at different ratios. Moreover, the sensor array can discriminate against proteins with unfolded states and diverse conformational forms. Most importantly, the sensor array successfully distinguishes between multiple Aβ species, even in artificial cerebrospinal fluid samples and human serum samples. This work provides an attractive and reliable strategy for predicting pathologically relevant proteins and clinical diagnosis of AD.</p>\",\"PeriodicalId\":27,\"journal\":{\"name\":\"Analytical Chemistry\",\"volume\":\"97 9\",\"pages\":\"4978–4986 4978–4986\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.analchem.4c05508\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.analchem.4c05508","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
摘要
淀粉样蛋白β (a β)肽的错误折叠进入聚集状态是阿尔茨海默病(AD)发病的中心标志。然而,传统的方法主要集中在检测特定的a β肽,这使得难以同时识别具有不同拓扑特征和展开状态的多个分析物。在此,我们提出了一种简单通用的传感策略,即利用单纳米酶探针结合三种荧光底物作为三个识别单元来构建荧光传感器阵列,以探测蛋白质结构变化并识别多个a β组装。在该传感系统中,拓扑蛋白与传感单元之间的非特异性相互作用产生了类似指纹的图案。因此,该传感器阵列可以准确识别13种不同比例的蛋白质及其混合物。此外,传感器阵列可以区分具有未折叠状态和不同构象形式的蛋白质。最重要的是,即使在人工脑脊液样本和人血清样本中,该传感器阵列也能成功区分多种Aβ。这项工作为预测AD的病理相关蛋白和临床诊断提供了一个有吸引力和可靠的策略。
Fluorescent Fingerprint Identification of Protein Structural Changes and Disease-Specific Amyloid Beta Aggregates Based on a Single-Nanozyme Sensor Array
The misfolding of amyloid β (Aβ) peptides into an aggregation state is a central hallmark of the onset of Alzheimer’s disease (AD). However, conventional methods are mainly focused on detecting a specific Aβ peptide, which makes it difficult to recognize multiple analytes with different topological features and unfolded states at the same time. Here, we propose a simple and universal sensing strategy to construct a fluorescence sensor array by using a single-nanozyme probe combined with three fluorescent substrates as three recognition units to probe the protein structural changes and identify between multiple Aβ assemblies. In this sensor system, the fingerprint-like patterns are produced from the nonspecific interactions between topological proteins and the sensing units. As a result, this sensor array can accurately identify 13 kinds of proteins and their mixtures at different ratios. Moreover, the sensor array can discriminate against proteins with unfolded states and diverse conformational forms. Most importantly, the sensor array successfully distinguishes between multiple Aβ species, even in artificial cerebrospinal fluid samples and human serum samples. This work provides an attractive and reliable strategy for predicting pathologically relevant proteins and clinical diagnosis of AD.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.