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Antibody‐Mimetic Peptoid Nanosheet for Label‐Free Serum‐Based Diagnosis of Alzheimer's Disease
Advanced Materials ( IF 27.4 ) Pub Date : 2017-06-12 , DOI: 10.1002/adma.201700057
Ling Zhu 1 , Zijian Zhao 1 , Peng Cheng 2 , Zhaohui He 3 , Zhiqiang Cheng 4 , Jiaxi Peng 1 , Huayi Wang 1 , Chen Wang 1 , Yanlian Yang 1 , Zhiyuan Hu 1, 5, 6
Affiliation  

Alzheimer's disease (AD) is the most common form of dementia characterized by progressive cognitive decline. Current diagnosis of AD is based on symptoms, neuropsychological tests, and neuroimaging, and is usually evident years after the pathological process. Early assessment at the preclinical or prodromal stage is in a great demand since treatment after the onset can hardly stop or reverse the disease progress. However, early diagnosis of AD is challenging due to the lack of reliable noninvasive approaches. Here, an antibody‐mimetic self‐assembling peptoid nanosheet containing surface‐exposed Aβ42‐recognizing loops is constructed, and a label‐free sensor for the detection of AD serum is developed. The loop‐displaying peptoid nanosheet is demonstrated to have high affinity to serum Aβ42, and to be able to identify AD sera with high sensitivity. The dense distribution of molecular recognition loops on the robust peptoid nanosheet scaffold not only mimics the architecture of antibodies, but also reduces the nonspecific binding in detecting multicomponent samples. This antibody‐mimetic 2D material holds great potential toward the blood‐based diagnosis of AD, and meanwhile provides novel insights into the antibody alternative engineering and the universal application in biological and chemical sensors.

中文翻译:

抗体模拟类肽纳米片可用于无标签血清诊断阿尔茨海默氏病

阿尔茨海默氏病(AD)是痴呆症最常见的形式,其特征是进行性认知功能减退。当前对AD的诊断是基于症状,神经心理学测试和神经影像学,通常在病理过程多年后才可见。急需在临床前或前驱阶段进行早期评估,因为发病后的治疗几乎无法停止或逆转疾病进展。然而,由于缺乏可靠的非侵入性方法,AD的早期诊断具有挑战性。在这里,构建了一个模拟抗体的自组装拟肽纳米片,该纳米片包含表面暴露的Aβ42识别环,并开发了一种用于检测AD血清的无标记传感器。展示环的拟肽纳米片对血清Aβ42具有高度亲和力,并能够以高灵敏度识别AD血清。坚固的类肽纳米片支架上分子识别环的密集分布不仅模拟抗体的结构,而且减少了检测多组分样品时的非特异性结合。这种模拟抗体的2D材料在基于血液的AD诊断中具有巨大的潜力,同时也为抗体替代工程以及在生物和化学传感器中的普遍应用提供了新颖的见解。
更新日期:2017-06-12
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