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Tsang PYL, Chu SLH, Li LCW, Tai DMS, Cheung BKC, Kebede FT, Leung PYM, Wong W, Chung T, Yip CCY, Poon RWS, Chen JHK, Yuen KY, Fok M, Lau JYN, Lau LT. Automated System for Multiplexing Detection of COVID-19 and Other Respiratory Pathogens. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2022; 11:424-434. [PMID: 37435542 PMCID: PMC10332469 DOI: 10.1109/jtehm.2022.3230716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 11/16/2022] [Accepted: 12/16/2022] [Indexed: 09/30/2023]
Abstract
OBJECTIVE Infectious diseases are global health challenge, impacted the communities worldwide particularly in the midst of COVID-19 pandemic. The need of rapid and accurate automated systems for detecting pathogens of concern has always been critical. Ideally, such systems shall detect a large panel of pathogens simultaneously regardless of well-equipped facilities and highly trained operators, thus realizing on-site diagnosis for frontline healthcare providers and in critical locations such as borders and airports. METHODS & RESULTS Avalon Automated Multiplex System, AAMST, is developed to automate a series of biochemistry protocols to detect nucleic acid sequences from multiple pathogens in one test. Automated processes include isolation of nucleic acids from unprocessed samples, reverse transcription and two rounds of amplifications. All procedures are carried out in a microfluidic cartridge performed by a desktop analyzer. The system was validated with reference controls and showed good agreement with their laboratory counterparts. In total 63 clinical samples, 13 positives including those from COVID-19 patients and 50 negative cases were detected, consistent with clinical diagnosis using conventional laboratory methods. CONCLUSIONS The proposed system has demonstrated promising utility. It would benefit the screening and diagnosis of COVID-19 and other infectious diseases in a simple, rapid and accurate fashion. Clinical and Translational Impact Statement- A rapid and multiplex diagnostic system proposed in this work can clinically help to control spread of COVID-19 and other infectious agents as it can provide timely diagnosis, isolation and treatment to patients. Using the system at remoted clinical sites can facilitate early clinical management and surveillance.
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Affiliation(s)
- Parker Y. L. Tsang
- Emerging Viral Diagnostics (HK) Ltd.Hong KongChina
- Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Sunny L. H. Chu
- Emerging Viral Diagnostics (HK) Ltd.Hong KongChina
- Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | | | | | | | - Firaol Tamiru Kebede
- Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Pete Y. M. Leung
- Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Winston Wong
- Emerging Viral Diagnostics (HK) Ltd.Hong KongChina
| | - Teresa Chung
- Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
| | - Cyril C. Y. Yip
- Department of MicrobiologyThe University of Hong KongHong KongChina
| | | | | | - Kwok-Yung Yuen
- Department of MicrobiologyThe University of Hong KongHong KongChina
- Centre for VirologyVaccinology and Therapeutics, Hong Kong Science and Technology ParkHong KongChina
| | - Manson Fok
- Emerging Viral Diagnostics (HK) Ltd.Hong KongChina
- Faculty of MedicineMacau University of Science and TechnologyMacauChina
| | - Johnson Y. N. Lau
- Emerging Viral Diagnostics (HK) Ltd.Hong KongChina
- Department of BiologyHong Kong Baptist UniversityHong KongChina
| | - Lok-Ting Lau
- Emerging Viral Diagnostics (HK) Ltd.Hong KongChina
- Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina
- School of Chinese MedicineHong Kong Baptist UniversityHong KongChina
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Zhang Z, Ma P, Ahmed R, Wang J, Akin D, Soto F, Liu BF, Li P, Demirci U. Advanced Point-of-Care Testing Technologies for Human Acute Respiratory Virus Detection. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2103646. [PMID: 34623709 DOI: 10.1002/adma.202103646] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/25/2021] [Indexed: 04/14/2023]
Abstract
The ever-growing global threats to human life caused by the human acute respiratory virus (RV) infections have cost billions of lives, created a significant economic burden, and shaped society for centuries. The timely response to emerging RVs could save human lives and reduce the medical care burden. The development of RV detection technologies is essential for potentially preventing RV pandemic and epidemics. However, commonly used detection technologies lack sensitivity, specificity, and speed, thus often failing to provide the rapid turnaround times. To address this problem, new technologies are devised to address the performance inadequacies of the traditional methods. These emerging technologies offer improvements in convenience, speed, flexibility, and portability of point-of-care test (POCT). Herein, recent developments in POCT are comprehensively reviewed for eight typical acute respiratory viruses. This review discusses the challenges and opportunities of various recognition and detection strategies and discusses these according to their detection principles, including nucleic acid amplification, optical POCT, electrochemistry, lateral flow assays, microfluidics, enzyme-linked immunosorbent assays, and microarrays. The importance of limits of detection, throughput, portability, and specificity when testing clinical samples in resource-limited settings is emphasized. Finally, the evaluation of commercial POCT kits for both essential RV diagnosis and clinical-oriented practices is included.
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Affiliation(s)
- Zhaowei Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, P. R. China
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Peng Ma
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Rajib Ahmed
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Jie Wang
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Demir Akin
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Fernando Soto
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Peiwu Li
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, P. R. China
| | - Utkan Demirci
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
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Cnc Garcia RD, Leon LA. Human parvovirus B19: a review of clinical and epidemiological aspects in Brazil. Future Microbiol 2021; 16:37-50. [PMID: 33438475 DOI: 10.2217/fmb-2020-0123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Since the first evidence of human parvovirus B19 (B19V) infection in late 80s, several studies have been conducted to clarify the spectrum of clinical diseases in Brazil. B19V infection is prevalent in the general population and has exhibited a cyclical pattern of occurrence every 4-5 years, with the predominance of genotype 1 over 3b. During epidemic periods the wide range of clinical conditions, such as ertythema infectiosum, arthropathy, transient aplastic crisis, nonimmune hydrops fetalis and B19V-hepatitis were diagnosed. However, many infections are likely asymptomatic or have a self-limiting clinical course and are not readly diagnosed. Besides, the similarity of the symptoms of ertythema infectiosum to other rash diseases and the broadly circulation of arboviruses makes differential diagnosis more difficult. In this article, we provide a historical comprehensive overview of the research on parvovirus B19 conducted in Brazil, with a focus on the clinical and epidemiological aspects of the infection.
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Affiliation(s)
- Rita de Cnc Garcia
- Departamento de Microbiologia e Parasitologia, Instituto Biomédico, Universidade Federal Fluminense (UFF), Rua Professor Hernani Melo 101, Niterói, RJ 22430 190, Brazil
| | - Luciane Aa Leon
- Laboratório de Desenvolvimento Tecnológico em Virologia, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Avenida Brasil 4365, Manguinhos, RJ 21040 360, Brazil
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