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Resmi AN, Nazeer SS, Dhushyandhun ME, Paul W, Chacko BP, Menon RN, Jayasree RS. Ultrasensitive Detection of Blood-Based Alzheimer's Disease Biomarkers: A Comprehensive SERS-Immunoassay Platform Enhanced by Machine Learning. ACS Chem Neurosci 2024; 15:4390-4401. [PMID: 39537190 DOI: 10.1021/acschemneuro.4c00369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024] Open
Abstract
Accurate and early disease detection is crucial for improving patient care, but traditional diagnostic methods often fail to identify diseases in their early stages, leading to delayed treatment outcomes. Early diagnosis using blood derivatives as a source for biomarkers is particularly important for managing Alzheimer's disease (AD). This study introduces a novel approach for the precise and ultrasensitive detection of multiple core AD biomarkers (Aβ40, Aβ42, p-tau, and t-tau) using surface-enhanced Raman spectroscopy (SERS) combined with machine-learning algorithms. Our method employs an antibody-immobilized aluminum SERS substrate, which offers high precision, sensitivity, and accuracy. The platform achieves an impressive detection limit in the attomolar (aM) range and spans a wide dynamic range from aM to micromolar (μM) concentrations. This ultrasensitive and specific SERS immunoassay platform shows promise for identifying mild cognitive impairment (MCI), a potential precursor to AD, from blood plasma. Machine-learning algorithms applied to the spectral data enhance the differentiation of MCI from AD and healthy controls, yielding excellent sensitivity and specificity. Our integrated SERS-machine-learning approach, with its interpretability, advances AD research and underscores the effectiveness of a cost-efficient, easy-to-prepare Al-SERS substrate for clinical AD detection.
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Affiliation(s)
- A N Resmi
- Division of Biophotonics and Imaging, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala 695012, India
| | - Shaiju S Nazeer
- Department of Chemistry, Indian Institute of Space Sciences and Technology, Thiruvananthapuram, Kerala 695547, India
| | - M E Dhushyandhun
- Division of Biophotonics and Imaging, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala 695012, India
| | - Willi Paul
- Central Analytical Facility, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala 695012, India
| | - Binu P Chacko
- Department of Computer Sciences, Prajyoti Niketan College, Puthukkad PO, Thrissur 680301.India
| | - Ramshekhar N Menon
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala 695011, India
| | - Ramapurath S Jayasree
- Division of Biophotonics and Imaging, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala 695012, India
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2
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Deng Y, Gao Z, Lin Z, Yang Z, Lin M, Xu Z, Lei H, Li X. MXene Bimetallic Coating Synergistic Enhanced Colorimetric-Raman Dual Signal-Based Immunochromatographic Assay for Advancing Detection Performance. Anal Chem 2024; 96:19527-19536. [PMID: 39589217 DOI: 10.1021/acs.analchem.4c04234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2024]
Abstract
Herein, a three-dimensional thin film-like multifunctional MXene bimetallic coating material (Ti3C2@Au-Ag) with strong color intensity, high surface-enhanced Raman scattering (SERS) activity, and strong antibody affinity (1.00 × 108 M-1) was prepared. It was the first time that Ti3C2@Au-Ag-based colorimetric-SERS dual-signal immunochromatographic assay (ICA) was developed for the detection of dexamethasone, achieving the limits of detection of 0.0089, 0.14, and 0.084 μg/kg for milk, beef, and pork in colorimetric mode and 0.0015, 0.060, and 0.075 μg/kg in SERS mode. It was up to 200-fold more sensitive than the reported ICAs. The recoveries were 82.0%-112.6%, and the coefficients of variation were 1.4%-13.7%. The Ti3C2@Au-Ag-ICA was verified by LC-MS/MS in the application on 30 real samples with a correlation coefficient greater than 0.98. This study can provide efficient theoretical and practical value for the development of a colorimetric-SERS dual-signal immunoassay platform.
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Affiliation(s)
- Youwen Deng
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhiheng Gao
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhongqi Lin
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zehao Yang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Mengfang Lin
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhenlin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiangmei Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
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3
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Kareem F, Chau YFC, Ahmed MU. Nb 2CTx-supported bimetallic NPs@ZIF-8 nanohybrid as ECL signal amplifier and peroxidase mimics for chromogranin a immunosensing in human serum and saliva. Int J Biol Macromol 2024; 287:138476. [PMID: 39662547 DOI: 10.1016/j.ijbiomac.2024.138476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 11/25/2024] [Accepted: 12/04/2024] [Indexed: 12/13/2024]
Abstract
Niobium carbide (Nb2CTx), a key component of the MXene family renowned for its utilization in lithium-ion batteries and supercapacitors, remains largely underutilized in biosensing applications. This study introduces a notably sensitive and label-free dual-mode electrochemiluminescence (ECL) and colorimetric immunosensor to specifically detect chromogranin A (CgA) in biological fluids. Initially, AuAg bimetallic nanoparticles (BiMNPs) were synthesized using Nb2CTx as a reducing and supporting material. Furthermore, a promising approach has been put forward to increase the efficacy of the ECL of [Ru (bpy)3]2+ system by integrating the combined use of the zeolitic imidazolate framework-8 (ZIF-8) and the Nb2CTx coated bimetallic NPs. Incorporation produces a significant ~165-fold increase in electrochemical signals and a 4-fold improvement in ECL signals. In particular, BiMNPs@ZIF-8 nanohybrid exhibited significantly enhanced peroxidase-like activity compared to bare BiMNPs, demonstrating synergistic peroxidase enzyme mimicry. This improved activity makes it a potent catalyst for the H₂O₂-mediated oxidation of 3,3,5,5, tetramethylbenzidine (TMB), generating the characteristic blue color. Furthermore, the ECL method achieved a detection range of 0.001 to 1000 pg/mL with LOD of 0.11 fg/mL, while the colorimetric method achieved a LOD of 100 pg/mL and a linear range of 0.1 to 4000 ng/mL. The practical applicability of the sensor was validated by analyzing CgA levels in human serum and saliva samples.
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Affiliation(s)
- Faheem Kareem
- Biosensor and nanobiotechnology Laboratory, Integrated Science Building, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam
| | - Yuan-Fong Chou Chau
- Centre for Advanced Material and Energy Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE 1410, Brunei Darussalam
| | - Minhaz Uddin Ahmed
- Biosensor and nanobiotechnology Laboratory, Integrated Science Building, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam.
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Nazir S, Iqbal RA. Recent Progress in the Application of Tau Protein Biosensors for Diagnosis of Neurodegenerative Diseases. Appl Biochem Biotechnol 2024; 196:7476-7502. [PMID: 38696096 DOI: 10.1007/s12010-024-04960-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2024] [Indexed: 11/21/2024]
Abstract
The microtubule-associated Tau protein is found in the central nervous system (CNS) in six major isoforms. Neurodegenerative diseases have been linked to post-translational changes of Tau, most notably phosphorylation. Tau protein's molecular diversity is highly helpful in the identification of neurodegenerative illnesses. Nonetheless, one major obstacle to the early detection of brain illness is the nanoscale identification of tau proteins. The standard methods for identifying tau protein include western blotting, polymerase chain reaction (PCR), and real-time PCR. Enzyme-linked immunosorbent assay (ELISA) is another approach used. The limited sensitivity and specificity of these detections, together with the need for sophisticated equipment, are some of their drawbacks. The development of innovative and complex methods for tau protein screening is necessary to address the aforementioned issues. Biosensors are a cutting-edge instrument that may help identify various neurodegenerative biomarkers as early as feasible. This paper provides an overview of the most recent developments in the detection of neurodegenerative diseases employing biosensors built on nanotechnology and methods for imaging, electrochemical, and optical detection of the Tau protein. Furthermore, we outline the present difficulties and suggest a possible course for biosensor-based detection and intervention in the future.
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Affiliation(s)
- Sophia Nazir
- Wolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Plymouth University, Devon, PL4 8AA, UK.
| | - Rabail Azhar Iqbal
- C.M.H Lahore Medical College, University of Health Sciences, Abdur Rahman Road, Lahore Cantt, Pakistan
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Yang W, Guan F, Yang L, Shou G, Zhu F, Xu Y, Meng Y, Li M, Dong W. Highly sensitive blood-based biomarkers detection of beta-amyloid and phosphorylated-tau181 for Alzheimer's disease. Front Neurol 2024; 15:1445479. [PMID: 39286809 PMCID: PMC11402670 DOI: 10.3389/fneur.2024.1445479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 08/21/2024] [Indexed: 09/19/2024] Open
Abstract
Background Plasma biomarker has the potential to be the reliable and propagable approach in the early stage diagnosis of Alzheimer's disease (AD). However, conventional methods appear powerless in the detection of these biomarkers at low concentrations in plasma. Here, we determined plasma biomarker concentrations of patients across the AD spectrum by an improved digital enzyme-linked immunosorbent assay (ELISA) technique. Confirms the predictive and diagnostic value of this method for AD patients and study the relationships between these biomarkers and cognitive status. Methods Plasma concentrations of amyloid-beta 40 (Aβ40), amyloid-beta 42 (Aβ42) and plasma phosphorylated tau at threonine 181 (p-tau181) were determined in 43 AD patients, 33 mild cognitive impairment (MCI) patients and 40 normal cognition (NC) subjects as healthy controls using the improved digital ELISA technique. In addition, all subjects were required to receive neuropsychological assessments. Results Plasma p-tau181 level showed certain discrepancies between NC and MCI (p < 0.05), AD (p < 0.01) groups. The level of plasma Aβ42 (p < 0.05) and Aβ40 (p < 0.01) was significantly different between AD and NC group. The p-tau181 level was able to distinguish AD (AUC = 0.8768) and MCI (AUC = 0.7932) from NC with higher accuracy than Aβ42/Aβ40 ratio (AUC = 0.8343, AUC = 0.6569). Both p-tau181 (CDR: r = 0.388 p < 0.001; MMSE: r = -0.394 p < 0.001) and Aβ42/Aβ40 ratio (CDR: r = -0.413 p < 0.001; MMSE: r = 0.358 p < 0.001) showed stronger positive correlation with clinical dementia rating (CDR) and mini mental state examination (MMSE) scores than Aβ42 (CDR: r = -0.280 p = 0.003; MMSE: r = 0.266 p = 0.005) or Aβ40 (CDR: r = 0.373 p < 0.001; MMSE: r = -0.288 p = 0.002) alone. Conclusion Plasma p-tau181 level and Aβ42/Aβ40 ratio showed promising values in diagnosis of AD and MCI. Our results indicate that this improved digital ELISA diagnosis approach can facilitate early recognition and management of AD and pre-AD patients.
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Affiliation(s)
- Wei Yang
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Neurology, Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Fulin Guan
- Department of Neurology, Suzhou Dushu Lake Hospital, Suzhou, China
| | - Lihui Yang
- Department of Neurology, Suzhou Dushu Lake Hospital, Suzhou, China
| | - Guangli Shou
- Department of Neurology, Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Fangfang Zhu
- Department of Neurology, Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Yuanyuan Xu
- Department of Neurology, Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Ying Meng
- Department of Neurology, Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Min Li
- Department of Neurology, Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Wanli Dong
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
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Ya N, Zhang D, Wang Y, Zheng Y, Yang M, Wu H, Oudeng G. Recent advances of biocompatible optical nanobiosensors in liquid biopsy: towards early non-invasive diagnosis. NANOSCALE 2024; 16:13784-13801. [PMID: 38979555 DOI: 10.1039/d4nr01719f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Liquid biopsy is a non-invasive diagnostic method that can reduce the risk of complications and offers exceptional benefits in the dynamic monitoring and acquisition of heterogeneous cell population information. Optical nanomaterials with excellent light absorption, luminescence, and photoelectrochemical properties have accelerated the development of liquid biopsy technologies. Owing to the unique size effect of optical nanomaterials, their improved optical properties enable them to exhibit good sensitivity and specificity for mitigating signal interference from various molecules in body fluids. Nanomaterials with biocompatible and optical sensing properties play a crucial role in advancing the maturity and diversification of liquid biopsy technologies. This article offers a comprehensive review of recent advanced liquid biopsy technologies that utilize novel biocompatible optical nanomaterials, including fluorescence, colorimetric, photoelectrochemical, and Raman broad-spectrum-based biosensors. We focused on liquid biopsy for the most significant early biomarkers in clinical medicine, and specifically reviewed reports on the effectiveness of optical nanosensing technology in the detection of real patient samples, which may provide basic evidence for the transition of optical nanosensing technology from engineering design to clinical practice. Furthermore, we introduced the integration of optical nanosensing-based liquid biopsy with modern devices, such as smartphones, to demonstrate the potential of the technology in portable clinical diagnosis.
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Affiliation(s)
- Na Ya
- Pediatric Research Institute, Shenzhen Children's Hospital, Shenzhen, Guangdong, P.R. China
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, P.R. China
| | - Dangui Zhang
- Pediatric Research Institute, Shenzhen Children's Hospital, Shenzhen, Guangdong, P.R. China
- Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, P.R. China
| | - Yan Wang
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, P.R. China
| | - Yi Zheng
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, P.R. China
| | - Mo Yang
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, P.R. China
| | - Hao Wu
- Department of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, P.R. China
| | - Gerile Oudeng
- Pediatric Research Institute, Shenzhen Children's Hospital, Shenzhen, Guangdong, P.R. China
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7
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Tian Y, Yin X, Li J, Dou L, Wang S, Jia C, Li Y, Chen Y, Yan S, Wang J, Zhang D. A dual-mode lateral flow immunoassay by ultrahigh signal-to background ratio SERS probes for nitrofurazone metabolites ultrasensitive detection. Food Chem 2024; 441:138374. [PMID: 38219366 DOI: 10.1016/j.foodchem.2024.138374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/16/2024]
Abstract
In this work, an ultra-sensitive lateral flow immunoassay (LFIA) with SERS/colorimetric dual signal mode was constructed for the detection of nitrofurazone metabolites, an antibiotic prohibited in animal-origin foods. Au@4-MBN@AgNRs nano-sandwich structural signal tag integrates the unique advantages of high signal-to-background ratio and anti-matrix interference through geometric control of SERS tag and nanoengineering adjustment of chemical composition. Under the optimal conditions, the detection limits of nitrofurazone metabolites by SERS/colorimetric dual-mode LFIA were 20 pg/mL (colorimetric mode) and 0.08 pg/mL (SERS mode). Excitingly, the vLOD of the colorimetric signal improved by a factor of 100 compared to Au NPs-based LFIA. In this study, the proposed dual-mode LFIA was successfully applied to the on-site real-time detection of honey, milk powder, and chicken. It is anticipated that with low background interference and anti-matrix interference output signal, our proposed dual-mode strategy can pave an innovative pathway for the fabrication of a powerful biosensor.
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Affiliation(s)
- Yanli Tian
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Jiawei Li
- Shandong Marine Resource and Environment Research Institute, Shandong Key Laboratory of Marine Ecological Restoration, No.216 Changjiang Road, Development Zone, Yantai City, Shandong Province, China
| | - Leina Dou
- College of Veterinary Medicine, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Shaochi Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Conghui Jia
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Yuechun Li
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Shengxue Yan
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China.
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Zhang L, Cao K, Xie J, Liang X, Gong H, Luo Q, Luo H. Aβ 42 and ROS dual-targeted multifunctional nanocomposite for combination therapy of Alzheimer's disease. J Nanobiotechnology 2024; 22:278. [PMID: 38783363 PMCID: PMC11112798 DOI: 10.1186/s12951-024-02543-z] [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: 12/06/2023] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
Amyloid-β (Aβ) readily misfolds into neurotoxic aggregates, generating high levels of reactive oxygen species (ROS), leading to progressive oxidative damage and ultimately cell death. Therefore, simultaneous inhibition of Aβ aggregation and scavenging of ROS may be a promising therapeutic strategy to alleviate Alzheimer's disease pathology. Based on the previously developed antibody 1F12 that targets all forms of Aβ42, we developed an Aβ42 and ROS dual-targeting nanocomposite using biodegradable mesoporous silica nanoparticles as carriers to load ultra-small cerium oxide nanocrystals (bMSNs@Ce-1F12). By modifying the brain-targeted rabies virus glycoprotein 29 (RVG29-bMSNs@Ce-1F12), this intelligent nanocomposite can efficiently target brain Aβ-rich regions. Combined with peripheral and central nervous system treatments, RVG29-bMSNs@Ce-1F12 can significantly alleviate AD symptoms by inhibiting Aβ42 misfolding, accelerating Aβ42 clearance, and scavenging ROS. Furthermore, this synergistic effect of ROS scavenging and Aβ clearance exhibited by this Aβ42 and ROS dual-targeted strategy also reduced the burden of hyperphosphorylated tau, alleviated glial cell activation, and ultimately improved cognitive function in APP/PS1 mice. Our findings indicate that RVG29-bMSNs@Ce-1F12 is a promising nanodrug that can facilitate multi-target treatment of AD.
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Affiliation(s)
- Liding Zhang
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Kai Cao
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jun Xie
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xiaohan Liang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China
| | - Qingming Luo
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
| | - Haiming Luo
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China.
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
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Tapia-Arellano A, Cabrera P, Cortés-Adasme E, Riveros A, Hassan N, Kogan MJ. Tau- and α-synuclein-targeted gold nanoparticles: applications, opportunities, and future outlooks in the diagnosis and therapy of neurodegenerative diseases. J Nanobiotechnology 2024; 22:248. [PMID: 38741193 DOI: 10.1186/s12951-024-02526-0] [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: 02/02/2024] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
The use of nanomaterials in medicine offers multiple opportunities to address neurodegenerative disorders such as Alzheimer's and Parkinson's disease. These diseases are a significant burden for society and the health system, affecting millions of people worldwide without sensitive and selective diagnostic methodologies or effective treatments to stop their progression. In this sense, the use of gold nanoparticles is a promising tool due to their unique properties at the nanometric level. They can be functionalized with specific molecules to selectively target pathological proteins such as Tau and α-synuclein for Alzheimer's and Parkinson's disease, respectively. Additionally, these proteins are used as diagnostic biomarkers, wherein gold nanoparticles play a key role in enhancing their signal, even at the low concentrations present in biological samples such as blood or cerebrospinal fluid, thus enabling an early and accurate diagnosis. On the other hand, gold nanoparticles act as drug delivery platforms, bringing therapeutic agents directly into the brain, improving treatment efficiency and precision, and reducing side effects in healthy tissues. However, despite the exciting potential of gold nanoparticles, it is crucial to address the challenges and issues associated with their use in the medical field before they can be widely applied in clinical settings. It is critical to ensure the safety and biocompatibility of these nanomaterials in the context of the central nervous system. Therefore, rigorous preclinical and clinical studies are needed to assess the efficacy and feasibility of these strategies in patients. Since there is scarce and sometimes contradictory literature about their use in this context, the main aim of this review is to discuss and analyze the current state-of-the-art of gold nanoparticles in relation to delivery, diagnosis, and therapy for Alzheimer's and Parkinson's disease, as well as recent research about their use in preclinical, clinical, and emerging research areas.
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Affiliation(s)
- Andreas Tapia-Arellano
- Instituto Universitario de Investigación y Desarrollo Tecnológico (IDT), Universidad Tecnológica Metropolitana, Santiago, Chile.
- Facultad de Cs. Qcas. y Farmacéuticas, Universidad de Chile, Santiago, Chile.
- Advanced Center for Chronic Diseases (ACCDis), Santiago, Chile.
- Millenium Nucleus in NanoBioPhysics, Valparaíso, Chile.
| | - Pablo Cabrera
- Facultad de Cs. Qcas. y Farmacéuticas, Universidad de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases (ACCDis), Santiago, Chile
| | - Elizabeth Cortés-Adasme
- Facultad de Cs. Qcas. y Farmacéuticas, Universidad de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases (ACCDis), Santiago, Chile
| | - Ana Riveros
- Facultad de Cs. Qcas. y Farmacéuticas, Universidad de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases (ACCDis), Santiago, Chile
| | - Natalia Hassan
- Instituto Universitario de Investigación y Desarrollo Tecnológico (IDT), Universidad Tecnológica Metropolitana, Santiago, Chile.
- Advanced Center for Chronic Diseases (ACCDis), Santiago, Chile.
- Millenium Nucleus in NanoBioPhysics, Valparaíso, Chile.
| | - Marcelo J Kogan
- Facultad de Cs. Qcas. y Farmacéuticas, Universidad de Chile, Santiago, Chile.
- Advanced Center for Chronic Diseases (ACCDis), Santiago, Chile.
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Yuan W, Yuan H, Li R, Yong R, Mitrovic I, Lim EG, Duan S, Song P. A SERS nanocellulose-paper-based analytical device for ultrasensitive detection of Alzheimer's disease. Anal Chim Acta 2024; 1301:342447. [PMID: 38553119 DOI: 10.1016/j.aca.2024.342447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/28/2024] [Accepted: 03/03/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Alzheimer's disease (AD), one of the most prevalent neurodegenerative diseases, results in severe cognitive decline and irreversible memory loss. Early detection of AD is significant to patients for personalized intervention since effective cure and treatment methods for AD are still lacking. Despite the severity of the disease, existing highly sensitive AD detection methods, including neuroimaging and brain deposit-positive lesion tests, are not suitable for screening purposes due to their high cost and complicated operation. Therefore, these methods are unsuitable for early detection, especially in low-resource settings. Although regular paper-based microfluidics are cost-efficient for AD detection, they are restricted by a poor limit of detection (LOD). RESULTS To address the above limitations, we report the ultrasensitive and low-cost nanocellulose paper (nanopaper)-based analytical microfluidic devices (NanoPADs) for detecting one of the promising AD blood biomarkers (glial fibrillary acidic protein, GFAP) using Surface-enhanced Raman scattering (SERS) immunoassay. Nanopaper offers advantages as a SERS substrate, such as an ultrasmooth surface, high optical transparency, and tunable chemical properties. We detected the target GFAP in artificial serum, achieving a LOD of 150 fg mL-1. SIGNIFICANCE The developed NanoPADs are distinguished by their cost-efficiency and ease of implementation, presenting a promising avenue for effective early detection of AD's GFAP biomarker with ultrahigh sensitivity. More importantly, our work provides the experimental routes for SERS-based immunoassay of biomarkers on NanoPADs for various diseases in the future.
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Affiliation(s)
- Wenwen Yuan
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, 710049, Xi'an, China
| | - Hang Yuan
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China
| | - Ruibing Li
- Department of Clinical Laboratory Medicine, The First Medical Centre, Chinese 301 General Hospital, 100853, Beijing, China
| | - Ruiqi Yong
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China
| | - Ivona Mitrovic
- Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK
| | - Eng Gee Lim
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK
| | - Sixuan Duan
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK; Key Laboratory of Bionic Engineering, Jilin University, 130022, Changchun, China
| | - Pengfei Song
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK.
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11
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Zhang D, Chen L, Lin H, Hao T, Wu Y, Xie J, Shi X, Jiang X, Guo Z. Well plate-based LF-NMR/colorimetric dual-mode homogeneous immunosensor for Vibrio parahaemolyticus detection. Food Chem 2024; 436:137757. [PMID: 37890347 DOI: 10.1016/j.foodchem.2023.137757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 09/22/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023]
Abstract
A 96-well plate-based low-field nuclear magnetic resonance (LF-NMR)/colorimetric dual-mode homogeneous immunosensor was developed for the detection of pathogen bacteria, using Vibrio parahaemolyticus (VP) as a detection template. The signal unit MNS@Ab2 is graphene oxide (GO) simultaneously loaded with VP antibody and Fe3O4 nanoparticles. A 96-well plate coated with VP antibody captures the target VP, which then binds the signal unit to form the immunocomplex. After acidolysed, Fe3O4 nanoparticles are transformed into Fe3+ and Fe2+, so the non-homogeneous system is transformed into a homogeneous one. The addition of KMnO4 can not only convert Fe2+ into Fe3+ but also provide Mn2+, improving the detection sensitivity. And, colorimetric analysis can be achieved by the quantitative reduction of KMnO4. Under the optimal experimental conditions, the limit of detection was 60 CFU/mL with good selectivity, stability, precision, accuracy, and consistency, providing a simple and reliable detection platform for pathogenic bacteria in food.
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Affiliation(s)
- Dongyu Zhang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, PR China
| | - Le Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, PR China
| | - Han Lin
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, PR China
| | - Tingting Hao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, PR China
| | - Yangbo Wu
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, PR China.
| | - Jianjun Xie
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, PR China
| | - Xizhi Shi
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Marine Science, Ningbo University, Ningbo 315211, PR China
| | - Xiaohua Jiang
- School of Materials & Environmental Engineering, Shenzhen Polytechnic, Shenzhen 518055, PR China
| | - Zhiyong Guo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, PR China.
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12
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Li T, Zhang J, Bu P, Wu H, Guo J, Guo J. Multi-modal nanoprobe-enabled biosensing platforms: a critical review. NANOSCALE 2024; 16:3784-3816. [PMID: 38323860 DOI: 10.1039/d3nr03726f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Nanomaterials show great potential for applications in biosensing due to their unique physical, chemical, and biological properties. However, the single-modal signal sensing mechanism greatly limits the development of single-modal nanoprobes and their related sensors. Multi-modal nanoprobes can realize the output of fluorescence, colorimetric, electrochemical, and magnetic signals through composite nanomaterials, which can effectively compensate for the defects of single-modal nanoprobes. Following the multi-modal nanoprobes, multi-modal biosensors break through the performance limitation of the current single-modal signal and realize multi-modal signal reading. Herein, the current status and classification of multi-modal nanoprobes are provided. Moreover, the multi-modal signal sensing mechanisms and the working principle of multi-modal biosensing platforms are discussed in detail. We also focus on the applications in pharmaceutical detection, food and environmental fields. Finally, we highlight this field's challenges and development prospects to create potential enlightenment.
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Affiliation(s)
- Tong Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiani Zhang
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Pengzhi Bu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Haoping Wu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiuchuan Guo
- University of Electronic Science and Technology of China, Chengdu, China.
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong, University, Shanghai, China.
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13
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Le PG, Choi SH, Cho S. Alzheimer's Disease Biomarker Detection Using Field Effect Transistor-Based Biosensor. BIOSENSORS 2023; 13:987. [PMID: 37998162 PMCID: PMC10669709 DOI: 10.3390/bios13110987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
Alzheimer's disease (AD) is closely related to neurodegeneration, leading to dementia and cognitive impairment, especially in people aged > 65 years old. The detection of biomarkers plays a pivotal role in the diagnosis and treatment of AD, particularly at the onset stage. Field-effect transistor (FET)-based sensors are emerging devices that have drawn considerable attention due to their crucial ability to recognize various biomarkers at ultra-low concentrations. Thus, FET is broadly manipulated for AD biomarker detection. In this review, an overview of typical FET features and their operational mechanisms is described in detail. In addition, a summary of AD biomarker detection and the applicability of FET biosensors in this research field are outlined and discussed. Furthermore, the trends and future prospects of FET devices in AD diagnostic applications are also discussed.
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Affiliation(s)
- Phan Gia Le
- Department of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, College of Medicine, Inha University, Incheon 22332, Republic of Korea
| | - Sungbo Cho
- Department of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea
- Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
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14
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Gao F, Li F, Wang J, Yu H, Li X, Chen H, Wang J, Qin D, Li Y, Liu S, Zhang X, Wang ZH. SERS-Based Optical Nanobiosensors for the Detection of Alzheimer's Disease. BIOSENSORS 2023; 13:880. [PMID: 37754114 PMCID: PMC10526933 DOI: 10.3390/bios13090880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 09/28/2023]
Abstract
Alzheimer's disease (AD) is a leading cause of dementia, impacting millions worldwide. However, its complex neuropathologic features and heterogeneous pathophysiology present significant challenges for diagnosis and treatment. To address the urgent need for early AD diagnosis, this review focuses on surface-enhanced Raman scattering (SERS)-based biosensors, leveraging the excellent optical properties of nanomaterials to enhance detection performance. These highly sensitive and noninvasive biosensors offer opportunities for biomarker-driven clinical diagnostics and precision medicine. The review highlights various types of SERS-based biosensors targeting AD biomarkers, discussing their potential applications and contributions to AD diagnosis. Specific details about nanomaterials and targeted AD biomarkers are provided. Furthermore, the future research directions and challenges for improving AD marker detection using SERS sensors are outlined.
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Affiliation(s)
- Feng Gao
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Fang Li
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Jianhao Wang
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Hang Yu
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xiang Li
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Hongyu Chen
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Jiabei Wang
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Dongdong Qin
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Yiyi Li
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Songyan Liu
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xi Zhang
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Zhi-Hao Wang
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (F.G.); (F.L.); (J.W.); (H.Y.); (X.L.); (H.C.); (J.W.); (D.Q.); (Y.L.); (S.L.); (X.Z.)
- Center for Neurodegenerative Disease Research, Renmin Hospital of Wuhan University, Wuhan 430060, China
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15
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Song N, Sun S, Chen K, Wang Y, Wang H, Meng J, Guo M, Zhang XD, Zhang R. Emerging nanotechnology for Alzheimer's disease: From detection to treatment. J Control Release 2023; 360:392-417. [PMID: 37414222 DOI: 10.1016/j.jconrel.2023.07.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/15/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
Alzheimer's disease (AD), one of the most common chronic neurodegenerative diseases, is characterized by memory impairment, synaptic dysfunction, and character mutations. The pathological features of AD are Aβ accumulation, tau protein enrichment, oxidative stress, and immune inflammation. Since the pathogenesis of AD is complicated and ambiguous, it is still challenging to achieve early detection and timely treatment of AD. Due to the unique physical, electrical, magnetic, and optical properties of nanoparticles (NPs), nanotechnology has shown great potential for detecting and treating AD. This review provides an overview of the latest developments in AD detection via nanotechnology based on NPs with electrochemical sensing, optical sensing, and imaging techniques. Meanwhile, we highlight the important advances in nanotechnology-based AD treatment through targeting disease biomarkers, stem-cell therapy and immunotherapy. Furthermore, we summarize the current challenges and present a promising prospect for nanotechnology-based AD diagnosis and intervention.
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Affiliation(s)
- Nan Song
- Department of Physics, School of Science, Tianjin Chengjian University, Tianjin 300384, China
| | - Si Sun
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Sciences, Tianjin University, Tianjin 300350, China
| | - Ke Chen
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Yang Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Hao Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Jian Meng
- The First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Meili Guo
- Department of Physics, School of Science, Tianjin Chengjian University, Tianjin 300384, China.
| | - Xiao-Dong Zhang
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Sciences, Tianjin University, Tianjin 300350, China; Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
| | - Ruiping Zhang
- The First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China.
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16
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Li M, Zeng Y, Huang Z, Zhang L, Liu Y. Vertical Graphene-Based Printed Electrochemical Biosensor for Simultaneous Detection of Four Alzheimer's Disease Blood Biomarkers. BIOSENSORS 2023; 13:758. [PMID: 37622844 PMCID: PMC10452345 DOI: 10.3390/bios13080758] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/15/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023]
Abstract
Early detection and timely intervention play a vital role in the effective management of Alzheimer's disease. Currently, the diagnostic accuracy for Alzheimer's disease based on a single blood biomarker is relatively low, and the combined use of multiple blood biomarkers can greatly improve diagnostic accuracy. Herein, we report a printed electrochemical biosensor based on vertical graphene (VG) modified with gold nanoparticles (VG@nanoAu) for the simultaneous detection of four Alzheimer's disease blood biomarkers. The printed electrochemical electrode array was constructed by laser etching and inkjet printing. Then gold nanoparticles were modified onto the working electrode surface via electrodeposition to further improve the sensitivity of the sensor. In addition, the entire printed electrochemical sensing system incorporates an electrochemical micro-workstation and a smartphone. The customized electrochemical micro-workstation incorporates four electro-chemical control chips, enabling the sensor to simultaneously analyze four biomarkers. Consequently, the printed electrochemical sensing system exhibits excellent analytical performance due to the large surface area, biocompatibility, and good conductivity of VG@nanoAu. The detection limit of the sensing system for Aβ40, Aβ42, T-tau, and P-tau181 was 0.072, 0.089, 0.071, and 0.051 pg/mL, respectively, which meets the detection requirements of Alzheimer's disease blood biomarkers. The printed electrochemical sensing system also exhibits good specificity and stability. This work has great value and promising prospects for early Alzheimer's disease diagnosis using blood biomarkers.
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Affiliation(s)
| | | | | | - Lingyan Zhang
- Longgang Central Hospital of Shenzhen, Shenzhen 518116, China; (M.L.); (Y.Z.); (Z.H.)
| | - Yibiao Liu
- Longgang Central Hospital of Shenzhen, Shenzhen 518116, China; (M.L.); (Y.Z.); (Z.H.)
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17
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Zhang L, Su Y, Liang X, Cao K, Luo Q, Luo H. Ultrasensitive and point-of-care detection of plasma phosphorylated tau in Alzheimer's disease using colorimetric and surface-enhanced Raman scattering dual-readout lateral flow assay. NANO RESEARCH 2023; 16:7459-7469. [PMID: 37223429 PMCID: PMC9971675 DOI: 10.1007/s12274-022-5354-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 05/25/2023]
Abstract
Phosphorylation of tau at Ser (396, 404) (p-tau396,404) is one of the earliest phosphorylation events, and plasma p-tau396,404 level appears to be a potentially promising biomarker of Alzheimer's disease (AD). The low abundance and easy degradation of p-tau in the plasma make the lateral flow assay (LFA) a suitable choice for point-of-care detection of plasma p-tau396,404 levels. Herein, based on our screening of a pair of p-tau396,404-specific antibodies, we developed a colorimetric and surface-enhanced Raman scattering (SERS) dual-readout LFA for the rapid, highly sensitive, and robust detection of plasma p-tau396,404 levels. This LFA realized a detection limit of 60 pg/mL by the naked eye or 3.8 pg/mL by SERS without cross-reacting with other tau species. More importantly, LFA rapidly and accurately differentiated AD patients from healthy controls, suggesting that it has the potential for clinical point-of-care application in AD diagnosis. This dual-readout LFA has the advantages of simple operation, rapid, and ultra-sensitive detection, providing a new way for early AD diagnosis and intervention, especially in primary and community AD screening. Electronic Supplementary Material Supplementary material (characterization of AuNPs and 4-MBA@AuNP probe; the optimal 4-MBA load for AuNPs; the optimal K2CO3 volumes for 4-MBA@AuNP-3G5 conjugates; the optimal 3G5 load for 4-MBA@AuNP conjugates; effect of NaCl concentration on 4-MBA@AuNP-3G5 stability; the linear curve of T-line color and SERS intensity versus different p-tau396,404 concentrations; the comparison of colorimetric-based LFA test results and the diagnosis results; Raman intensities and antibody activity of 4-MBA@AuNP-3G5 before and after storage; colorimetric intensity of dual-readout LFA detecting different concentrations of p-tau396,404 protein; sequence of synthesized peptides used in this study; information of the participants in this study; the information of antibodies used in this study) is available in the online version of this article at 10.1007/s12274-022-5354-4.
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Affiliation(s)
- Liding Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, 430074 China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Ying Su
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Xiaohan Liang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, 430074 China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Kai Cao
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, 430074 China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Qingming Luo
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228 China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute (JITRI), Suzhou, 215123 China
| | - Haiming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, 430074 China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074 China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute (JITRI), Suzhou, 215123 China
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Terrones O, Olazar-Intxausti J, Anso I, Lorizate M, Nieto-Garai JA, Contreras FX. Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases. Int J Mol Sci 2023; 24:2384. [PMID: 36768712 PMCID: PMC9917237 DOI: 10.3390/ijms24032384] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
The Raman phenomenon is based on the spontaneous inelastic scattering of light, which depends on the molecular characteristics of the dispersant. Therefore, Raman spectroscopy and imaging allow us to obtain direct information, in a label-free manner, from the chemical composition of the sample. Since it is well established that the development of many brain diseases is associated with biochemical alterations of the affected tissue, Raman spectroscopy and imaging have emerged as promising tools for the diagnosis of ailments. A combination of Raman spectroscopy and/or imaging with tagged molecules could also help in drug delivery and tracing for treatment of brain diseases. In this review, we first describe the basics of the Raman phenomenon and spectroscopy. Then, we delve into the Raman spectroscopy and imaging modes and the Raman-compatible tags. Finally, we center on the application of Raman in the study, diagnosis, and treatment of brain diseases, by focusing on traumatic brain injury and ischemia, neurodegenerative disorders, and brain cancer.
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Affiliation(s)
- Oihana Terrones
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - June Olazar-Intxausti
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Itxaso Anso
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
- Structural Glycobiology Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Maier Lorizate
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Jon Ander Nieto-Garai
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Francesc-Xabier Contreras
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
- Instituto Biofisika (UPV/EHU, CSIC), Barrio Sarriena s/n, 48940 Leioa, Spain
- Ikerbasque, Basque Foundation of Science, 48011 Bilbao, Spain
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