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Zhou Y, Cai G, Wang Y, Guo Y, Yang Z, Wang A, Chen Y, Li X, Chen X, Hu Z, Wang Z. Microarray Chip-Based High-Throughput Screening of Neurofilament Light Chain Self-Assembling Peptide for Noninvasive Monitoring of Alzheimer's Disease. ACS NANO 2024; 18:18160-18175. [PMID: 38940834 DOI: 10.1021/acsnano.3c09642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Alzheimer's disease (AD) starts decades before cognitive symptoms develop. Easily accessible and cost-effective biomarkers that accurately reflect AD pathology are essential for both monitoring and therapeutics of AD. Neurofilament light chain (NfL) levels in blood and cerebrospinal fluid are increased in AD more than a decade before the expected onset, thus providing one of the most promising blood biomarkers for monitoring of AD. The clinical practice of employing single-molecule array (Simoa) technology for routine use in patient care is limited by the high costs. Herein, we developed a microarray chip-based high-throughput screening method and screened an attractive self-assembling peptide targeting NfL. Through directly "imprinting" and further analyzing the sequences, morphology, and affinity of the identified self-assembling peptides, the Pep-NfL peptide nanosheet with high binding affinity toward NfL (KD = 1.39 × 10-9 mol/L), high specificity, and low cost was characterized. The superior binding ability of Pep-NfL was confirmed in AD mouse models and cell lines. In the clinical setting, the Pep-NfL peptide nanosheets hold great potential for discriminating between patients with AD (P < 0.001, n = 37), mild cognitive impairment (P < 0.05, n = 26), and control groups (n = 30). This work provides a high-throughput, high-sensitivity, and economical system for noninvasive tracking of AD to monitor neurodegeneration at different stages of disease. The obtained Pep-NfL peptide nanosheet may be useful for assessing dynamic changes in plasma NfL concentrations to evaluate disease-modifying therapies as a surrogate end point of neurodegeneration in clinical trials.
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Affiliation(s)
- Ying Zhou
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Guoen Cai
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou 350001, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou 350001, China
| | - Yuanzhuo Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuxin Guo
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Zhimin Yang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Anqi Wang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Yongshou Chen
- School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, China
| | - Xuejie Li
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Xiaochun Chen
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou 350001, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou 350001, China
| | - Zhiyuan Hu
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, China
| | - Zihua Wang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
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Nasiri M, Bahadorani M, Dellinger K, Aravamudhan S, Vivero-Escoto JL, Zadegan R. Improving DNA nanostructure stability: A review of the biomedical applications and approaches. Int J Biol Macromol 2024; 260:129495. [PMID: 38228209 PMCID: PMC11060068 DOI: 10.1016/j.ijbiomac.2024.129495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 01/18/2024]
Abstract
DNA's programmable, predictable, and precise self-assembly properties enable structural DNA nanotechnology. DNA nanostructures have a wide range of applications in drug delivery, bioimaging, biosensing, and theranostics. However, physiological conditions, including low cationic ions and the presence of nucleases in biological systems, can limit the efficacy of DNA nanostructures. Several strategies for stabilizing DNA nanostructures have been developed, including i) coating them with biomolecules or polymers, ii) chemical cross-linking of the DNA strands, and iii) modifications of the nucleotides and nucleic acids backbone. These methods significantly enhance the structural stability of DNA nanostructures and thus enable in vivo and in vitro applications. This study reviews the present perspective on the distinctive properties of the DNA molecule and explains various DNA nanostructures, their advantages, and their disadvantages. We provide a brief overview of the biomedical applications of DNA nanostructures and comprehensively discuss possible approaches to improve their biostability. Finally, the shortcomings and challenges of the current biostability approaches are examined.
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Affiliation(s)
- Mahboobeh Nasiri
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agriculture and Technical State University, USA
| | - Mehrnoosh Bahadorani
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agriculture and Technical State University, USA
| | - Kristen Dellinger
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agriculture and Technical State University, USA
| | - Shyam Aravamudhan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agriculture and Technical State University, USA
| | - Juan L Vivero-Escoto
- Department of Chemistry, The University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Reza Zadegan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agriculture and Technical State University, USA.
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Liu X, Liu Y, Liu Q. Fluorescent Sensing Platforms for Detecting and Imaging the Biomarkers of Alzheimer's Disease. BIOSENSORS 2023; 13:bios13050515. [PMID: 37232876 DOI: 10.3390/bios13050515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/22/2023] [Accepted: 04/28/2023] [Indexed: 05/27/2023]
Abstract
Alzheimer's disease (AD) is an irreversible neurodegenerative disease with clinical symptoms of memory loss and cognitive impairment. Currently, no effective drug or therapeutic method is available for curing this disease. The major strategy used is to identify and block AD at its initial stage. Thus, early diagnosis is very important for intervention of the disease and assessment of drug efficacy. The gold standards of clinical diagnosis include the measurement of AD biomarkers in cerebrospinal fluid and positron emission tomography imaging of the brain for amyloid-β (Aβ) deposits. However, these methods are difficult to apply to the general screening of a large aging population because of their high cost, radioactivity and inaccessibility. Comparatively, blood sample detection is less invasive and more accessible for the diagnosis of AD. Hence, a variety of assays based on fluorescence analysis, surface-enhanced Raman scattering, electrochemistry, etc., were developed for the detection of AD biomarkers in blood. These methods play significant roles in recognizing asymptomatic AD and predicting the course of the disease. In a clinical setting, the combination of blood biomarker detection with brain imaging may enhance the accuracy of early diagnosis. Fluorescence-sensing techniques can be used not only to detect the levels of biomarkers in blood but also to image biomarkers in the brain in real time due to their low toxicity, high sensitivity and good biocompatibility. In this review, we summarize the newly developed fluorescent sensing platforms and their application in detecting and imaging biomarkers of AD, such as Aβ and tau in the last five years, and discuss their prospects for clinical applications.
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Affiliation(s)
- Xingyun Liu
- Department of Chemistry, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
| | - Yibiao Liu
- Longgang District Central Hospital of Shenzhen, Shenzhen 518116, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Qiong Liu
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
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Li M, Yu Q, Zheng M, Jiang R, Zhu H, Guo H, Sun H, Liu M. A label-free electrochemical immunosensor based on Au-BSN-rGO for highly-sensitive detection of β-amyloid 1-42. NANOSCALE 2023; 15:4063-4070. [PMID: 36734202 DOI: 10.1039/d2nr05787e] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
A label-free electrochemical immunosensor for high-sensitive detection of β-amyloid 1-42 (Aβ 1-42) was constructed based on Au-modified B, S, and N co-doped reduced graphene oxide (Au-BSN-rGO). The electronic structure of Au-BSN-rGO was investigated by first-principles calculations, which showed that the band gap of graphene was opened, thus improving its electrical conductivity. Moreover, Au-BSN-rGO was successfully prepared and characterized, and the obtained results discovered that it could be used as a signal amplifier for immunosensors due to the advantages of the good electrochemical characteristics and enormous surface area of BSN-rGO and the accelerated electron transfer ability of Au NPs. Furthermore, the label-free electrochemical immunosensor had a linear detection range of 0.1 pg mL-1-10 ng mL-1 and a detection limit of 0.072 pg mL-1, and it had good specificity, stability, and reproducibility. Also, this immunosensor showed recoveries of 89%-109% with an RSD of 2.61%-4.19% for detecting Aβ 1-42 in actual sample analysis. Therefore, the label-free electrochemical immunosensor based on Au-BSN-rGO should have a promising clinical application prospect for detecting Aβ 1-42.
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Affiliation(s)
- Mengjiao Li
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Qingjie Yu
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Meie Zheng
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Rongrong Jiang
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Hongda Zhu
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Wuhan, 430068, PR China
- Key Laboratory of Fermentation Engineering (Ministry of Education), Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Huiling Guo
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Wuhan, 430068, PR China
- Key Laboratory of Fermentation Engineering (Ministry of Education), Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Hongmei Sun
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Wuhan, 430068, PR China
- Key Laboratory of Fermentation Engineering (Ministry of Education), Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
| | - Mingxing Liu
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Biological Engineering and Food, Hubei University of, Technology, Wuhan, 430068, PR China
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Wuhan, 430068, PR China
- Key Laboratory of Fermentation Engineering (Ministry of Education), Wuhan, 430068, PR China
- Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, 430068, PR China.
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