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Angela S, Fadhilah G, Hsiao WWW, Lin HY, Ko J, Lu SCW, Lee CC, Chang YS, Lin CY, Chang HC, Chiang WH. Nanomaterials in the treatment and diagnosis of rheumatoid arthritis: Advanced approaches. SLAS Technol 2024; 29:100146. [PMID: 38844139 DOI: 10.1016/j.slast.2024.100146] [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: 10/02/2023] [Revised: 04/06/2024] [Accepted: 05/22/2024] [Indexed: 06/11/2024]
Abstract
Rheumatoid arthritis (RA), a chronic inflammatory condition that affects persons between the ages of 20 and 40, causes synovium inflammation, cartilage loss, and joint discomfort as some of its symptoms. Diagnostic techniques for RA have traditionally been split into two main categories: imaging and serological tests. However, significant issues are associated with both of these methods. Imaging methods are costly and only helpful in people with obvious symptoms, while serological assays are time-consuming and require specialist knowledge. The drawbacks of these traditional techniques have led to the development of novel diagnostic approaches. The unique properties of nanomaterials make them well-suited as biosensors. Their compact dimensions are frequently cited for their outstanding performance, and their positive impact on the signal-to-noise ratio accounts for their capacity to detect biomarkers at low detection limits, with excellent repeatability and a robust dynamic range. In this review, we discuss the use of nanomaterials in RA theranostics. Scientists have recently synthesized, characterized, and modified nanomaterials and biomarkers commonly used to enhance RA diagnosis and therapy capabilities. We hope to provide scientists with the promising potential that nanomaterials hold for future theranostics and offer suggestions on further improving nanomaterials as biosensors, particularly for detecting autoimmune disorders.
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Affiliation(s)
- Stefanny Angela
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Gianna Fadhilah
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Wesley Wei-Wen Hsiao
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Hsuan-Yi Lin
- Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan
| | - Joshua Ko
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Steven Che-Wei Lu
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Cheng-Chung Lee
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Yu-Sheng Chang
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Shuang Ho Hospital, New Taipei City, Taiwan; Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ching-Yu Lin
- The Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Huan-Cheng Chang
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan; Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan; Department of Chemistry, National Taiwan Normal University, Taipei, Taiwan
| | - Wei-Hung Chiang
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan; Sustainable Electrochemical Energy Development (SEED) Center, National Taiwan University of Science and Technology, Taipei, Taiwan; Advanced Manufacturing Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan.
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Teniou A, Rhouati A, Marty JL. Recent Advances in Biosensors for Diagnosis of Autoimmune Diseases. SENSORS (BASEL, SWITZERLAND) 2024; 24:1510. [PMID: 38475046 DOI: 10.3390/s24051510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 02/01/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024]
Abstract
Over the last decade, autoimmune diseases (ADs) have undergone a significant increase because of genetic and/or environmental factors; therefore, their simple and fast diagnosis is of high importance. The conventional diagnostic techniques for ADs require tedious sample preparation, sophisticated instruments, a dedicated laboratory, and qualified personnel. For these reasons, biosensors could represent a useful alternative to these methods. Biosensors are considered to be promising tools that can be used in clinical analysis for an early diagnosis due to their high sensitivity, simplicity, low cost, possible miniaturization (POCT), and potential ability for real-time analysis. In this review, recently developed biosensors for the detection of autoimmune disease biomarkers are discussed. In the first part, we focus on the main AD biomarkers and the current methods of their detection. Then, we discuss the principles and different types of biosensors. Finally, we overview the characteristics of biosensors based on different bioreceptors reported in the literature.
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Affiliation(s)
- Ahlem Teniou
- Bioengineering Laboratory, Higher National School of Biotechnology, Constantine 25100, Algeria
| | - Amina Rhouati
- Bioengineering Laboratory, Higher National School of Biotechnology, Constantine 25100, Algeria
| | - Jean-Louis Marty
- Laboratoire BAE, Université de Perpignan through Domitia, 66860 Perpignan, France
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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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Wen HY, Chiang CC, Chen RY, Ni WZ, Weng YQ, Yeh YT, Hsu HC. Immunosensing for Early Detection of Rheumatoid Arthritis Biomarkers: Anti-Cyclic Citrullinated Peptide Antibodies Based on Tilted-Fiber Bragg Grating Biosensor. Bioengineering (Basel) 2023; 10:bioengineering10020261. [PMID: 36829755 PMCID: PMC9952665 DOI: 10.3390/bioengineering10020261] [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: 12/26/2022] [Revised: 02/10/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
Rheumatoid arthritis (RA) is regarded as a chronic, immune-mediated disease that leads to the damage of various types of immune cells and signal networks, followed by inappropriate tissue repair and organ damage. RA is primarily manifested in the joints, but also manifests in the lungs and the vascular system. This study developed a method for the in vitro detection of RA through cyclic citrullinated peptide (CCP) antibodies and antigens. The diameter of a tilted-fiber Bragg grating (TFBG) biosensor was etched to 50 μm and then bonded with CCP antigens and antibodies. The small variations in the external refractive index and the optical fiber cladding were measured. The results indicated that the self-assembled layer of the TFBG biosensor was capable of detecting pre- and post-immune CCP antigen and CCP peptide concentrations within four minutes. A minimum CCP concentration of 1 ng/mL was detected with this method. This method is characterized by the sensor's specificity, ability to detect CCP reactions, user-friendliness, and lack of requirement for professional analytical skills, as the detections are carried out by simply loading and releasing the test samples onto the platform. This study provides a novel approach to medical immunosensing analysis and detection. Although the results for the detection of different concentrations of CCP antigen are not yet clear, it was possible to prove the concept that the biosensor is feasible even if the measurement is not easy and accurate at this stage. Further study and improvement are required.
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Affiliation(s)
- Hsin-Yi Wen
- Department of Chemical and Materials Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
| | - Chia-Chin Chiang
- Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
| | - Rou-Yu Chen
- Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
| | - Wei-Zhi Ni
- Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
| | - Yu-Qiao Weng
- Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
| | - Yao-Tsung Yeh
- Department of Medical Laboratory Science and Biotechnology, Fooyin University, Kaohsiung 83102, Taiwan
| | - Hsiang-Cheng Hsu
- Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
- Correspondence:
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