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Rashid MH, Sen P. Recent Advancements in Biosensors for the Detection and Characterization of Amyloids: A Review. Protein J 2024; 43:656-674. [PMID: 38824466 DOI: 10.1007/s10930-024-10205-0] [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: 05/06/2024] [Indexed: 06/03/2024]
Abstract
Modern medicine has increased the human lifespan. However, with an increase in average lifespan risk of amyloidosis increases. Amyloidosis is a condition characterized by protein misfolding and aggregation. Early detection of amyloidosis is crucial, yet conventional diagnostic methods are costly and lack precision, necessitating innovative tools. This review explores recent advancements in diverse amyloid detection methodologies, highlighting the need for interdisciplinary research to develop a miniaturized electrochemical biosensor leveraging nanotechnology. However, the diagnostics industry faces obstacles such as skilled labor shortages, standardized selection processes, and concurrent multi-analyte identification challenges. Research efforts are focused on integrating electrochemical techniques into clinical applications and diagnostics, with the successful transition of miniaturized technologies from development to testing posing a significant hurdle. Label-free transduction techniques like voltammetry and electrochemical impedance spectroscopy (EIS) have gained traction due to their rapid, cost-effective, and user-friendly nature.
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Affiliation(s)
- Md Harun Rashid
- Centre for Bio Separation Technology (CBST), Technology Tower, Vellore Institute of Technology, VIT University, Vellore, 632014, Tamil Nadu, India
| | - Priyankar Sen
- Centre for Bio Separation Technology (CBST), Technology Tower, Vellore Institute of Technology, VIT University, Vellore, 632014, Tamil Nadu, India.
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Nishikawa N, Sakae Y, Gouda T, Tsujimura Y, Okamoto Y. Structural Analysis of a Trimer of β 2-Microgloblin Fragment by Molecular Dynamics Simulations. Biophys J 2019; 116:781-790. [PMID: 30771855 DOI: 10.1016/j.bpj.2018.11.3143] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Revised: 06/08/2018] [Accepted: 11/06/2018] [Indexed: 01/22/2023] Open
Abstract
A peptide β2-m21-31, which is a fragment from residue 21 to residue 31 of β2-microgloblin, is experimentally known to self-assemble and form amyloid fibrils. In order to understand the mechanism of amyloid fibril formations, we applied the replica-exchange molecular dynamics method to the system consisting of three fragments of β2-m21-31. From the analyses on the temperature dependence, we found that there is a clear phase transition temperature in which the peptides aggregate with each other. Moreover, we found by the free energy analyses that there are two major stable states: One of them is like amyloid fibrils and the other is amorphous aggregates.
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Affiliation(s)
- Naohiro Nishikawa
- Department of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan; Department of Theoretical and Computational Molecular Science, Institute for Molecular Science, Okazaki, Aichi, Japan
| | - Yoshitake Sakae
- Department of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan
| | - Takuya Gouda
- Department of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan
| | - Yuichiro Tsujimura
- Department of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan
| | - Yuko Okamoto
- Department of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan; Structural Biology Research Center, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan; Center for Computational Science, Graduate School of Engineering, Nagoya University, Nagoya, Aichi, Japan; Information Technology Center, Nagoya University, Nagoya, Aichi, Japan; JST-CREST, Nagoya, Aichi, Japan.
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JIANG M, WANG XY, WANG XB. Advances in Detection Methods of β-Amyloid Protein. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2018. [DOI: 10.1016/s1872-2040(18)61107-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Kaushik A, Jayant RD, Tiwari S, Vashist A, Nair M. Nano-biosensors to detect beta-amyloid for Alzheimer's disease management. Biosens Bioelectron 2016; 80:273-287. [PMID: 26851586 PMCID: PMC4786026 DOI: 10.1016/j.bios.2016.01.065] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 01/21/2016] [Accepted: 01/27/2016] [Indexed: 10/22/2022]
Abstract
Beta-amyloid (β-A) peptides are potential biomarkers to monitor Alzheimer's diseases (AD) for diagnostic purposes. Increased β-A level is neurotoxic and induces oxidative stress in brain resulting in neurodegeneration and causes dementia. As of now, no sensitive and inexpensive method is available for β-A detection under physiological and pathological conditions. Although, available methods such as neuroimaging, enzyme-linked immunosorbent assay (ELISA), and polymerase chain reaction (PCR) detect β-A, but they are not yet extended at point-of-care (POC) due to sophisticated equipments, need of high expertize, complicated operations, and challenge of low detection limit. Recently, β-A antibody based electrochemical immuno-sensing approach has been explored to detect β-A at pM levels within 30-40 min compared to 6-8h of ELISA test. The introduction of nano-enabling electrochemical sensing technology could enable rapid detection of β-A at POC and may facilitate fast personalized health care delivery. This review explores recent advancements in nano-enabling electrochemical β-A sensing technologies towards POC application to AD management. These analytical tools can serve as an analytical tool for AD management program to obtain bio-informatics needed to optimize therapeutics for neurodegenerative diseases diagnosis management.
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Affiliation(s)
- Ajeet Kaushik
- Center for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
| | - Rahul Dev Jayant
- Center for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Sneham Tiwari
- Center for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Arti Vashist
- Center for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Madhavan Nair
- Center for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
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Chen S, Zhang L, Long Y, Zhou F. Electroanalytical Sensors and Methods for Assays and Studies of Neurological Biomarkers. ELECTROANAL 2014. [DOI: 10.1002/elan.201400040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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