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Lui WY, Ong CP, Cheung PHH, Ye ZW, Chan CP, To KKW, Yuen KS, Jin DY. Nsp1 facilitates SARS-CoV-2 replication through calcineurin-NFAT signaling. mBio 2024; 15:e0039224. [PMID: 38411085 PMCID: PMC11005343 DOI: 10.1128/mbio.00392-24] [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: 02/06/2024] [Accepted: 02/08/2024] [Indexed: 02/28/2024] Open
Abstract
SARS-CoV-2, the causative agent of COVID-19, has been intensely studied in search of effective antiviral treatments. The immunosuppressant cyclosporine A (CsA) has been suggested to be a pan-coronavirus inhibitor, yet its underlying mechanism remained largely unknown. Here, we found that non-structural protein 1 (Nsp1) of SARS-CoV-2 usurped CsA-suppressed nuclear factor of activated T cells (NFAT) signaling to drive the expression of cellular DEAD-box helicase 5 (DDX5), which facilitates viral replication. Nsp1 interacted with calcineurin A (CnA) to displace the regulatory protein regulator of calcineurin 3 (RCAN3) of CnA for NFAT activation. The influence of NFAT activation on SARS-CoV-2 replication was also validated by using the Nsp1-deficient mutant virus. Calcineurin inhibitors, such as CsA and VIVIT, inhibited SARS-CoV-2 replication and exhibited synergistic antiviral effects when used in combination with nirmatrelvir. Our study delineated the molecular mechanism of CsA-mediated inhibition of SARS-CoV-2 replication and the anti-SARS-CoV-2 action of calcineurin inhibitors. IMPORTANCE Cyclosporine A (CsA), commonly used to inhibit immune responses, is also known to have anti-SARS-CoV-2 activity, but its mode of action remains elusive. Here, we provide a model to explain how CsA antagonizes SARS-CoV-2 through three critical proteins: DDX5, NFAT1, and Nsp1. DDX5 is a cellular facilitator of SARS-CoV-2 replication, and NFAT1 controls the production of DDX5. Nsp1 is a viral protein absent from the mature viral particle and capable of activating the function of NFAT1 and DDX5. CsA and similar agents suppress Nsp1, NFAT1, and DDX5 to exert their anti-SARS-CoV-2 activity either alone or in combination with Paxlovid.
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Affiliation(s)
- Wai-Yin Lui
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong
| | - Chon Phin Ong
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong
| | | | - Zi-Wei Ye
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong
| | - Chi-Ping Chan
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong
| | - Kelvin Kai-Wang To
- Department of Microbiology, The University of Hong Kong, Pokfulam, Hong Kong
| | - Kit-San Yuen
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong
- School of Nursing, Tung Wah College, Kowloon, Hong Kong
| | - Dong-Yan Jin
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong
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2
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Berkovich AK, Pyshkina OA, Zorina AA, Rodin VA, Panova TV, Sergeev VG, Zvereva ME. Direct Determination of the Structure of Single Biopolymer Molecules Using Nanopore Sequencing. BIOCHEMISTRY. BIOKHIMIIA 2024; 89:S234-S248. [PMID: 38621753 DOI: 10.1134/s000629792414013x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/21/2023] [Accepted: 09/01/2023] [Indexed: 04/17/2024]
Abstract
This review highlights operational principles, features, and modern aspects of the development of third-generation sequencing technology of biopolymers focusing on the nucleic acids analysis, namely the nanopore sequencing system. Basics of the method and technical solutions used for its realization are considered, from the first works showing the possibility of creation of these systems to the easy-to-handle procedure developed by Oxford Nanopore Technologies company. Moreover, this review focuses on applications, which were developed and realized using equipment developed by the Oxford Nanopore Technologies, including assembly of whole genomes, methagenomics, direct analysis of the presence of modified bases.
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Affiliation(s)
- Anna K Berkovich
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
| | - Olga A Pyshkina
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Anna A Zorina
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Vladimir A Rodin
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Tatyana V Panova
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Vladimir G Sergeev
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Maria E Zvereva
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
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Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
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Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
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4
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Chen P, Sun Z, Wang J, Liu X, Bai Y, Chen J, Liu A, Qiao F, Chen Y, Yuan C, Sha J, Zhang J, Xu LQ, Li J. Portable nanopore-sequencing technology: Trends in development and applications. Front Microbiol 2023; 14:1043967. [PMID: 36819021 PMCID: PMC9929578 DOI: 10.3389/fmicb.2023.1043967] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/03/2023] [Indexed: 02/04/2023] Open
Abstract
Sequencing technology is the most commonly used technology in molecular biology research and an essential pillar for the development and applications of molecular biology. Since 1977, when the first generation of sequencing technology opened the door to interpreting the genetic code, sequencing technology has been developing for three generations. It has applications in all aspects of life and scientific research, such as disease diagnosis, drug target discovery, pathological research, species protection, and SARS-CoV-2 detection. However, the first- and second-generation sequencing technology relied on fluorescence detection systems and DNA polymerization enzyme systems, which increased the cost of sequencing technology and limited its scope of applications. The third-generation sequencing technology performs PCR-free and single-molecule sequencing, but it still depends on the fluorescence detection device. To break through these limitations, researchers have made arduous efforts to develop a new advanced portable sequencing technology represented by nanopore sequencing. Nanopore technology has the advantages of small size and convenient portability, independent of biochemical reagents, and direct reading using physical methods. This paper reviews the research and development process of nanopore sequencing technology (NST) from the laboratory to commercially viable tools; discusses the main types of nanopore sequencing technologies and their various applications in solving a wide range of real-world problems. In addition, the paper collates the analysis tools necessary for performing different processing tasks in nanopore sequencing. Finally, we highlight the challenges of NST and its future research and application directions.
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Affiliation(s)
- Pin Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Zepeng Sun
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Jiawei Wang
- School of Computer Science and Technology, Southeast University, Nanjing, China
| | - Xinlong Liu
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Yun Bai
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Jiang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Anna Liu
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Feng Qiao
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Yang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Chenyan Yuan
- Clinical Laboratory, Southeast University Zhongda Hospital, Nanjing, China
| | - Jingjie Sha
- School of Mechanical Engineering, Southeast University, Nanjing, China
| | - Jinghui Zhang
- School of Computer Science and Technology, Southeast University, Nanjing, China
| | - Li-Qun Xu
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China,*Correspondence: Li-Qun Xu, ✉
| | - Jian Li
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China,Jian Li, ✉
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5
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Lui DTW, Tsoi KH, Lee CH, Cheung CYY, Fong CHY, Lee ACH, Tam AR, Pang P, Ho TY, Law CY, Lam CW, To KKW, Chow WS, Woo YC, Hung IFN, Tan KCB, Lam KSL. A prospective follow-up on thyroid function, thyroid autoimmunity and long COVID among 250 COVID-19 survivors. Endocrine 2023; 80:380-391. [PMID: 36596904 PMCID: PMC9810240 DOI: 10.1007/s12020-022-03281-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/01/2022] [Indexed: 01/04/2023]
Abstract
PURPOSE We evaluated the evolution of thyroid function and autoimmunity among COVID-19 survivors over 6 months in relation to interferon beta-1b treatment and long COVID. METHODS We included COVID-19 survivors managed in a major COVID-19 centre between July 2020 and May 2021 who were reassessed three and/or six months after acute COVID-19. Thyroid function tests (TFTs) and anti-thyroid antibody titres were measured at acute COVID-19, 3-month and 6-month. RESULTS 250 COVID-19 survivors were included (mean age 52.7 years, 50.4% men). Persistent thyroid function abnormalities were more likely in those with abnormal TFTs in acute COVID-19 (P < 0.001). Among 51 patients with abnormal TFTs in acute COVID-19, 82.4% resolved upon follow-up. Of 199 patients with normal TFTs in acute COVID-19, only 4.5% had incident abnormal TFTs, more likely in interferon-treated patients (P = 0.044) and none clinically overt. Among 129 patients with complete 6-month follow-up for anti-thyroid antibody titres, there was no significant change overall, except for modest increase in anti-thyroid antibody titres among the 84 interferon-treated patients (P < 0.05 at both 3 months and 6 months). Long COVID occurred in 19.5% and 10.4% at 3 and 6 months respectively, where TFTs and anti-thyroid antibody titres were not predictive of its occurrence. CONCLUSION Over 6 months, most abnormal TFTs in acute COVID-19 resolved, with no significant incident thyroid dysfunction. SARS-CoV-2 infection did not lead to change in thyroid autoimmunity, while interferon treatment was associated with modest increase in anti-thyroid antibody titres. Thyroid function and anti-thyroid antibodies did not play a significant role in long COVID.
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Affiliation(s)
- David Tak Wai Lui
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Kimberly Hang Tsoi
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chi Ho Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chloe Yu Yan Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Carol Ho Yi Fong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Alan Chun Hong Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Anthony Raymond Tam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Polly Pang
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Tip Yin Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chun Yiu Law
- Division of Chemical Pathology, Queen Mary Hospital, Hong Kong, China
| | - Ching Wan Lam
- Department of Pathology, The University of Hong Kong, Hong Kong, China
| | - Kelvin Kai Wang To
- Department of Microbiology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Wing Sun Chow
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Yu Cho Woo
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Ivan Fan Ngai Hung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Karen Siu Ling Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China.
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Yip CCY, Sridhar S, Chan WM, Ip JD, Chu AWH, Leung KH, Cheng VCC, Yuen KY, To KKW. Development and Validation of a Novel COVID-19 nsp8 One-Tube RT-LAMP-CRISPR Assay for SARS-CoV-2 Diagnosis. Microbiol Spectr 2022; 10:e0196222. [PMID: 36445095 PMCID: PMC9769742 DOI: 10.1128/spectrum.01962-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 11/09/2022] [Indexed: 12/02/2022] Open
Abstract
Accurate and simple diagnostic tests for coronavirus disease 2019 (COVID-19) are essential components of the pandemic response. In this study, we evaluated a one-tube reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay coupled with clustered regularly interspaced short palindromic repeat (CRISPR)-associated protein-mediated endpoint detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in clinical samples. RT-LAMP-CRISPR is fast and affordable, does not require bulky thermocyclers, and minimizes carryover contamination risk. Results can be read either visually or with a fluorometer. RT-LAMP-CRISPR assays using primers targeting a highly expressed nsp8 gene and previously described nucleocapsid (N) gene primers were designed. The analytical characteristics and diagnostic performance of RT-LAMP-CRISPR assays were compared to those of a commercial real-time RT-PCR E gene assay. The limits of detection (LODs) of the nsp8 and N RT-LAMP-CRISPR assays were 750 and 2,000 copies/mL, which were higher than that of the commercial real-time RT-PCR assay (31.3 copies/mL). Despite the higher LOD, RT-LAMP-CRISPR assays showed diagnostic sensitivity and specificity of 98.6% and 100%, respectively, equivalent to those of the real-time RT-PCR assay (P = 0.5). The median fluorescence reading from the nsp8 assay (378.3 raw fluorescence unit [RFU] [range, 215.6 to 592.6]) was significantly higher than that of the N gene assay (342.0 RFU [range, 143.0 to 576.6]) (P < 0.0001). In conclusion, we demonstrate that RT-LAMP-CRISPR assays using primers rationally designed from highly expressed gene targets are highly sensitive, specific, and easy to perform. Such assays are a valuable asset in resource-limited settings. IMPORTANCE Accurate tests for the diagnosis of SARS-CoV-2, the virus causing coronavirus disease 2019 (COVID-19), are important for timely treatment and infection control decisions. Conventional tests such as real-time reverse transcription-PCR (RT-PCR) require specialized equipment and are expensive. On the other hand, rapid antigen tests suffer from a lack of sensitivity. In this study, we describe a novel assay format for the diagnosis of COVID-19 that is based on principles of loop-mediated isothermal amplification (LAMP) and clustered regularly interspaced short palindromic repeat (CRISPR)-Cas chemistry. A major advantage of this assay format is that it does not require expensive equipment to perform, and results can be read visually. This method proved to be fast, easy to perform, and inexpensive. The test compared well against an RT-PCR assay in terms of the ability to detect SARS-CoV-2 RNA in clinical samples. No false-positive test results were observed. The new assay format is ideal for SARS-CoV-2 diagnosis in resource-limited settings.
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Grants
- Health@InnoHK, Innovation and Technology Commission of Hong Kong
- Donations from Richard Yu and Carol Yu, the Shaw Foundation Hong Kong, Michael Seak-Kan Tong, The Hui Ming, Chan Yin Chuen Memorial Charitable Foundation
- Donations from Marina Man-Wai Lee, the Jessie & George Ho Charitable Foundation, Kai Chong Tong, Tse Kam Ming Laurence, Foo Oi Foundation Limited, Betty Hing-Chu Lee, and Ping Cham So
- Hui Hoy and Chow Sin Lan Charity Fund (許海周倩蘭慈善基金有限公司)
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Affiliation(s)
- Cyril Chik-Yan Yip
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
| | - Siddharth Sridhar
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Clinical Microbiology and Infection, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China
| | - Wan-Mui Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kit-Hang Leung
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Vincent Chi-Chung Cheng
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Clinical Microbiology and Infection, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China
- Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Sha Tin, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region, China
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Clinical Microbiology and Infection, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, China
- Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Sha Tin, Hong Kong Special Administrative Region, China
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7
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Zhu Y, Zhang M, Jie Z, Tao S. Nucleic acid testing of SARS-CoV-2: A review of current methods, challenges, and prospects. Front Microbiol 2022; 13:1074289. [PMID: 36569096 PMCID: PMC9780671 DOI: 10.3389/fmicb.2022.1074289] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/25/2022] [Indexed: 12/13/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has brought a huge threat to public health and the global economy. Rapid identification and isolation of SARS-CoV-2-infected individuals are regarded as one of the most effective measures to control the pandemic. Because of its high sensitivity and specificity, nucleic acid testing has become the major method of SARS-CoV-2 detection. A deep understanding of different diagnosis methods for COVID-19 could help researchers make an optimal choice in detecting COVID-19 at different symptom stages. In this review, we summarize and evaluate the latest developments in current nucleic acid detection methods for SARS-CoV-2. In particular, we discuss biosensors and CRISPR-based diagnostic systems and their characteristics and challenges. Furthermore, the emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis are systematically introduced and discussed. Considering the disease dynamics, we also recommend optional diagnostic tests for different symptom stages. From sample preparation to results readout, we conclude by pointing out the pain points and future directions of COVID-19 detection.
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Affiliation(s)
- Yuanshou Zhu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Zhang
- Department of Pulmonary and Critical Care Medicine, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Zhijun Jie
- Department of Pulmonary and Critical Care Medicine, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China,Center of Community-Based Health Research, Fudan University, Shanghai, China,*Correspondence: Zhijun Jie,
| | - Shengce Tao
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China,Shengce Tao,
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8
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Lui DTW, Lee CH, Chow WS, Lee ACH, Tam AR, Cheung CYY, Fong CHY, Kwok STM, Law CY, To KKW, Lam CW, Tan KCB, Woo YC, Hung IFN, Lam KSL. Development of a prediction score (ThyroCOVID) for identifying abnormal thyroid function in COVID-19 patients. J Endocrinol Invest 2022; 45:2149-2156. [PMID: 35831586 PMCID: PMC9281239 DOI: 10.1007/s40618-022-01854-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/27/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE Thyroid dysfunction in COVID-19 carries clinical and prognostic implications. In this study, we developed a prediction score (ThyroCOVID) for abnormal thyroid function (TFT) on admission amongst COVID-19 patients. METHODS Consecutive COVID-19 patients admitted to Queen Mary Hospital were prospectively recruited during July 2020-May 2021. Thyroid-stimulating hormone (TSH), free thyroxine (fT4) and free triiodothyronine (fT3) were measured on admission. Multivariable logistic regression analysis was performed to identify independent determinants of abnormal TFTs. ThyroCOVID was developed based on a clinical model with the lowest Akaike information criteria. RESULTS Five hundred and forty six COVID-19 patients were recruited (median age 50 years, 45.4% men, 72.9% mild disease on admission). 84 patients (15.4%) had abnormal TFTs on admission. Patients with abnormal TFTs were more likely to be older, have more comorbidities, symptomatic, have worse COVID-19 severity, higher SARS-CoV-2 viral loads and more adverse profile of acute-phase reactants, haematological and biochemical parameters. ThyroCOVID consisted of five parameters: symptoms (malaise), comorbidities (ischaemic heart disease/congestive heart failure) and laboratory parameters (lymphocyte count, C-reactive protein, and SARS-CoV-2 cycle threshold values). It was able to identify abnormal TFT on admission with an AUROC of 0.73 (95% CI 0.67-0.79). The optimal cut-off of 0.15 had a sensitivity of 75.0%, specificity of 65.2%, negative predictive value of 93.5% and positive predictive value of 28.1% in identifying abnormal TFTs on admission amongst COVID-19 patients. CONCLUSION ThyroCOVID, a prediction score to identify COVID-19 patients at risk of having abnormal TFT on admission, was developed based on a cohort of predominantly non-severe COVID-19 patients.
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Affiliation(s)
- D. T. W. Lui
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - C. H. Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - W. S. Chow
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - A. C. H. Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - A. R. Tam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - C. Y. Y. Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - C. H. Y. Fong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - S. T. M. Kwok
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - C. Y. Law
- Division of Chemical Pathology, Queen Mary Hospital, Hong Kong, China
| | - K. K. W. To
- Department of Microbiology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - C. W. Lam
- Department of Pathology, The University of Hong Kong, Hong Kong, China
| | - K. C. B. Tan
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Y. C. Woo
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - I. F. N. Hung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - K. S. L. Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
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9
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Teimouri H, Rahimi M, Taheri M, Tabarraei A, Shahbazi M, Omidvar S, Javid N, Fazel A, Honarvar MR, Roshandel G, Abdollahi N, Yamchi A, Razavi Nikoo H. RT-LAMP in SARS-CoV-2 detection: point to improve primer designing and decrease molecular diagnosis pitfalls. Expert Rev Mol Diagn 2022; 22:1-9. [PMID: 36254603 DOI: 10.1080/14737159.2022.2136991] [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: 02/09/2022] [Accepted: 10/13/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Due to the high transmission rate of SARS-CoV-2, diagnostic tests have become tools for identifying patients. The key points were the virus genomes survey to design RT-LAMP primers; comparing the sensitivity and specificity of RT-LAMP and RT-qPCR; and determining the relationship among clinical symptoms, CT scan, RT-qPCR, and RT-LAMP results. METHODS This cohort study included 444 symptomatic patients. The specificity and sensitivity of RT-LAMP were assayed. The five statistical models, simultaneously, by RapidMiner to find the best method for detecting the virus were done through the correlation between the clinical symptoms, RT-LAMP, RT-qPCR, and CT scan results. The chi-square test by SPSS 26.0 was used to calculate kappa agreement. RESULTS The virus genome was detected in all the positive samples (198) by RT-qPCR and RT-LAMP. In addition, 246 samples were negative by RT-qPCR, while 88 were positive by RT-LAMP. Data mining analysis indicated that there were most associations between the RT-LAMP and CT scan data compared to RT-qPCR and CT scan data. CONCLUSIONS RT-LAMP could detect SARS-CoV-2 with great simplicity, speed, and cheapness. Therefore, it is logical to screen, a large number of patients by RT-LAMP, and then RT-qPCR can be used on the limited samples.
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Affiliation(s)
- Hossein Teimouri
- Laboratory Sciences Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Maryam Rahimi
- Department of Horticulture, University of Zabol, Zabol, Iran
| | - Mahdeih Taheri
- Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Alijan Tabarraei
- Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Majid Shahbazi
- Medical Cellular and Molecular Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | | | - Naeme Javid
- Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Abdolreza Fazel
- Cancer Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Mohammad Reza Honarvar
- Nutrition Science, Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Nafiseh Abdollahi
- Golestan Rheumatology Research Center, Golestan University of Medical Science, Gorgan, Iran
| | - Ahad Yamchi
- Department of Biotechnology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - Hadi Razavi Nikoo
- Laboratory Sciences Research Center, Golestan University of Medical Sciences, Gorgan, Iran
- Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
- Infectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran
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10
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Drews SJ, O’Brien SF. Lessons Learned from the COVID-19 Pandemic and How Blood Operators Can Prepare for the Next Pandemic. Viruses 2022; 14:2126. [PMID: 36298680 PMCID: PMC9608827 DOI: 10.3390/v14102126] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/08/2022] [Accepted: 09/22/2022] [Indexed: 11/17/2022] Open
Abstract
Humans interact with virus-infected animal hosts, travel globally, and maintain social networks that allow for novel viruses to emerge and develop pandemic potential. There are key lessons-learned from the coronavirus diseases 2019 (COVID-19) pandemic that blood operators can apply to the next pandemic. Warning signals to the COVID-19 pandemic included outbreaks of Severe acute respiratory syndrome-related coronavirus-1 (SARS-CoV-1) and Middle East respiratory syndrome-related coronavirus (MERS-CoV) in the prior two decades. It will be critical to quickly determine whether there is a risk of blood-borne transmission of a new pandemic virus. Prior to the next pandemic blood operators should be prepared for changes in activities, policies, and procedures at all levels of the organization. Blood operators can utilize "Plan-Do-Study-Act" cycles spanning from: vigilance for emerging viruses, surveillance activities and studies, operational continuity, donor engagement and trust, and laboratory testing if required. Occupational health and donor safety issues will be key areas of focus even if the next pandemic virus is not transfusion transmitted. Blood operators may also be requested to engage in new activities such as the development of therapeutics or supporting public health surveillance activities. Activities such as scenario development, tabletop exercises, and drills will allow blood operators to prepare for the unknowns of the next pandemic.
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Affiliation(s)
- Steven J. Drews
- Canadian Blood Services, Microbiology, Donation and Policy Studies, Canadian Blood Services, Edmonton, AB T6G 2R8, Canada
- Division of Applied and Diagnostic Microbiology, Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Sheila F. O’Brien
- Epidemiology and Surveillance, Donation Policy and Studies, Canadian Blood Services, Ottawa, ON K1G 4J5, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1N 6N5, Canada
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11
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Pierri B, Mancusi A, Proroga YTR, Capuano F, Cerino P, Girardi S, Vassallo L, Lo Conte G, Tafuro M, Cuomo MC, Di Concilio D, Vicenza T, Cozzi L, Di Pasquale S, La Rosa G, Beikpour F, Suffredini E. SARS-CoV-2 detection in nasopharyngeal swabs: Performance characteristics of a real-time RT-qPCR and a droplet digital RT-PCR assay based on the exonuclease region (ORF1b, nsp 14). J Virol Methods 2022; 300:114420. [PMID: 34902456 PMCID: PMC8660663 DOI: 10.1016/j.jviromet.2021.114420] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 11/07/2021] [Accepted: 12/08/2021] [Indexed: 12/12/2022]
Abstract
The emergence and spread of SARS-CoV-2 has led to a compelling request for accurate diagnostic tests. The aim of this study was assessing the performance of a real-time RT-qPCR (rt RT-qPCR) assay and of a droplet digital RT-PCR (dd RT-PCR) targeting the nsp14 genome region for the detection of SARS-CoV-2 in nasopharyngeal swabs. A total of 258 nasopharyngeal swabs were analyzed with the nsp14 assays and, for comparison, with a reference assay targeting the RdRp and E genes. Conflicting results were further investigated by two additional protocols, the Centers for Disease Control and Prevention (CDC) real-time targeting N1/N2, and a nested RT-PCR for the spike region. Agreement of results was achieved on 226 samples (156 positive and 70 negative), 8 samples were positive in the reference assay and in the nsp14 rt RT-qPCR but negative with the dd RT-PCR, and 24 samples provided different combinations of results with the three assays. Sensitivity, specificity and accuracy (95 %C.I.) of the nsp14 assays were: 100.0 % (97.4-100.0), 98.7 % (92.1-100.0), and 99.6 % (97.5-100.0) for the rt RT-qPCR; 92.4 % (87.4-95.6), 100.0 % (94.2-100.0), and 94.7 % (91.1-97.0) for the dd RT-PCR. The results of the study support the use of the nsp14 real-time RT-qPCR and ddPCR for the detection of SARS-CoV-2 in nasopharyngeal swabs.
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Affiliation(s)
- Biancamaria Pierri
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy; Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Baronissi, SA, Italy
| | - Andrea Mancusi
- Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Yolande T R Proroga
- Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Federico Capuano
- Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Pellegrino Cerino
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Santa Girardi
- Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Lucia Vassallo
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Gabriella Lo Conte
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Maria Tafuro
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Maria Concetta Cuomo
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Denise Di Concilio
- Centro di Referenza Nazionale per l'analisi e studio di correlazione tra ambiente, animale e uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, NA, Italy
| | - Teresa Vicenza
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy
| | - Loredana Cozzi
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy
| | - Simona Di Pasquale
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Rome, Italy
| | - Farzad Beikpour
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy; Department of Veterinary Medicine, University of Bari 'Aldo Moro', Bari, Italy
| | - Elisabetta Suffredini
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy.
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12
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Lui DTW, Lee CH, Chow WS, Lee ACH, Tam AR, Pang P, Ho TY, Cheung CYY, Fong CHY, Law CY, To KKW, Lam CW, Tan KCB, Woo YC, Hung IFN, Lam KSL. The Independent Association of TSH and Free Triiodothyronine Levels With Lymphocyte Counts Among COVID-19 Patients. Front Endocrinol (Lausanne) 2022; 12:774346. [PMID: 35095756 PMCID: PMC8792436 DOI: 10.3389/fendo.2021.774346] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 12/16/2021] [Indexed: 12/19/2022] Open
Abstract
Background Both lymphopenia and thyroid dysfunction are commonly observed among COVID-19 patients. Whether thyroid function independently correlates with lymphocyte counts (LYM) remains to be elucidated. Methods We included consecutive adults without known thyroid disorder admitted to Queen Mary Hospital for COVID-19 from July 2020 to April 2021 who had thyroid-stimulating hormone (TSH), free thyroxine (fT4), free triiodothyronine (fT3) and LYM measured on admission. Results A total of 541 patients were included. Median LYM was 1.22 x 109/L, with 36.0% of the cohort lymphopenic. 83 patients (15.4%) had abnormal thyroid function tests (TFTs), mostly non-thyroidal illness syndrome (NTIS). Patients with lymphopenia had lower TSH, fT4 and fT3 levels than those without. Multivariable stepwise linear regression analysis revealed that both TSH (standardized beta 0.160, p<0.001) and fT3 (standardized beta 0.094, p=0.023), but not fT4, remained independently correlated with LYM, in addition to age, SARS-CoV-2 viral load, C-reactive protein levels, coagulation profile, sodium levels and more severe clinical presentations. Among the 40 patients who had reassessment of TFTs and LYM after discharge, at a median of 9 days from admission, there were significant increases in TSH (p=0.031), fT3 (p<0.001) and LYM (p<0.001). Furthermore, patients who had both lymphopenia and NTIS were more likely to deteriorate compared to those who only had either one alone, and those without lymphopenia or NTIS (p for trend <0.001). Conclusion TSH and fT3 levels showed independent positive correlations with LYM among COVID-19 patients, supporting the interaction between the hypothalamic-pituitary-thyroid axis and immune system in COVID-19.
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Affiliation(s)
- David Tak Wai Lui
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Chi Ho Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Wing Sun Chow
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Alan Chun Hong Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Anthony Raymond Tam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Polly Pang
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Tip Yin Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Chloe Yu Yan Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Carol Ho Yi Fong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Chun Yiu Law
- Division of Chemical Pathology, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Kelvin Kai Wang To
- Department of Microbiology, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Ching Wan Lam
- Department of Pathology, The University of Hong Kong Hong Kong, Hong Kong SAR, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Yu Cho Woo
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Ivan Fan Ngai Hung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
| | - Karen Siu Ling Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital Hong Kong, Hong Kong SAR, China
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13
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Zhu W, Wei Z, Han C, Weng X. Nanomaterials as Promising Theranostic Tools in Nanomedicine and Their Applications in Clinical Disease Diagnosis and Treatment. NANOMATERIALS (BASEL, SWITZERLAND) 2021; 11:3346. [PMID: 34947695 PMCID: PMC8707825 DOI: 10.3390/nano11123346] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/28/2021] [Accepted: 11/30/2021] [Indexed: 12/12/2022]
Abstract
In recent decades, with the rapid development of nanotechnology, nanomaterials have been widely used in the medical field, showing great potential due to their unique physical and chemical properties including minimal size and functionalized surface characteristics. Nanomaterials such as metal nanoparticles and polymeric nanoparticles have been extensively studied in the diagnosis and treatment of diseases that seriously threaten human life and health, and are regarded to significantly improve the disadvantages of traditional diagnosis and treatment platforms, such as poor effectiveness, low sensitivity, weak security and low economy. In this review, we report and discuss the development and application of nanomaterials in the diagnosis and treatment of diseases based mainly on published research in the last five years. We first briefly introduce the improvement of several nanomaterials in imaging diagnosis and genomic sequencing. We then focus on the application of nanomaterials in the treatment of diseases, and select three diseases that people are most concerned about and that do the most harm: tumor, COVID-19 and cardiovascular diseases. First, we introduce the characteristics of nanoparticles according to the excellent effect of nanoparticles as delivery carriers of anti-tumor drugs. We then review the application of various nanoparticles in tumor therapy according to the classification of nanoparticles, and emphasize the importance of functionalization of nanomaterials. Second, COVID-19 has been the hottest issue in the health field in the past two years, and nanomaterials have also appeared in the relevant treatment. We enumerate the application of nanomaterials in various stages of viral pathogenesis according to the molecular mechanism of the complete pathway of viral infection, pathogenesis and transmission, and predict the application prospect of nanomaterials in the treatment of COVID-19. Third, aiming at the most important causes of human death, we focus on atherosclerosis, aneurysms and myocardial infarction, three of the most common and most harmful cardiovascular diseases, and prove that nanomaterials could be involved in a variety of therapeutic approaches and significantly improve the therapeutic effect in cardiovascular diseases. Therefore, we believe nanotechnology will become more widely involved in the diagnosis and treatment of diseases in the future, potentially helping to overcome bottlenecks under existing medical methods.
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Affiliation(s)
- Wei Zhu
- Department of Orthopaedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (W.Z.); (Z.W.); (C.H.)
| | - Zhanqi Wei
- Department of Orthopaedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (W.Z.); (Z.W.); (C.H.)
- School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China
| | - Chang Han
- Department of Orthopaedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (W.Z.); (Z.W.); (C.H.)
| | - Xisheng Weng
- Department of Orthopaedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; (W.Z.); (Z.W.); (C.H.)
- Department of State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
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14
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Hassani Nejad Z, Fatemi F, Ranaei Siadat SE. An outlook on coronavirus disease 2019 detection methods. J Pharm Anal 2021; 12:205-214. [PMID: 34777894 PMCID: PMC8578030 DOI: 10.1016/j.jpha.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 10/22/2021] [Accepted: 11/07/2021] [Indexed: 12/15/2022] Open
Abstract
Diagnostic testing plays a fundamental role in the mitigation and containment of coronavirus disease 2019 (COVID-19), as it enables immediate quarantine of those who are infected and contagious and is essential for the epidemiological characterization of the virus and estimating the number of infected cases worldwide. Confirmation of viral infections, such as COVID-19, can be achieved through two general approaches: nucleic acid amplification tests (NAATs) or molecular tests, and serological or antibody-based tests. The genetic material of the pathogen is detected in NAAT, and in serological tests, host antibodies produced in response to the pathogen are identified. Other methods of diagnosing COVID-19 include radiological imaging of the lungs and in vitro detection of viral antigens. This review covers different approaches available to diagnosing COVID-19 by outlining their advantages and shortcomings, as well as appropriate indications for more accurate testing. Diagnostic tests to detect coronavirus disease 2019 (COVID-19). Advantages and disadvantages associated with each detection method. Implications for a more accurate and rapid testing of COVID-19 or other similar future emergent viruses.
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Affiliation(s)
- Zahra Hassani Nejad
- Department of Biochemistry, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417935840, Iran
| | - Fataneh Fatemi
- Department of Protein Research, Protein Research Center, Shahid Beheshti University, Tehran, 1983969411, Iran
- Corresponding author.
| | - Seyed Ehsan Ranaei Siadat
- Sobhan Recombinant Protein Company, Research and Development Department, Tehran, 1654120871, Iran
- Corresponding author.
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15
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Vural-Ozdeniz M, Akturk A, Demirdizen M, Leka R, Acar R, Konu O. CoVrimer: A tool for aligning SARS-CoV-2 primer sequences and selection of conserved/degenerate primers. Genomics 2021; 113:3174-3184. [PMID: 34293476 PMCID: PMC8289724 DOI: 10.1016/j.ygeno.2021.07.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 05/30/2021] [Accepted: 07/17/2021] [Indexed: 01/17/2023]
Abstract
As mutations in SARS-CoV-2 virus accumulate rapidly, novel primers that amplify this virus sensitively and specifically are in demand. We have developed a webserver named CoVrimer by which users can search for and align existing or newly designed conserved/degenerate primer pair sequences against the viral genome and assess the mutation load of both primers and amplicons. CoVrimer uses mutation data obtained from an online platform established by NGDC-CNCB (12 May 2021) to identify genomic regions, either conserved or with low levels of mutations, from which potential primer pairs are designed and provided to the user for filtering based on generalized and SARS-CoV-2 specific parameters. Alignments of primers and probes can be visualized with respect to the reference genome, indicating variant details and the level of conservation. Consequently, CoVrimer is likely to help researchers with the challenges posed by viral evolution and is freely available at http://konulabapps.bilkent.edu.tr:3838/CoVrimer/.
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Affiliation(s)
| | - Aslinur Akturk
- Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey
| | - Mert Demirdizen
- Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey
| | - Ronaldo Leka
- Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey
| | - Rana Acar
- Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey
| | - Ozlen Konu
- Interdisciplinary Neuroscience Program, Bilkent University, Ankara, Turkey; Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
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16
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Lui DTW, Lee CH, Chow WS, Lee ACH, Tam AR, Fong CHY, Law CY, Leung EKH, To KKW, Tan KCB, Woo YC, Lam CW, Hung IFN, Lam KSL. Role of non-thyroidal illness syndrome in predicting adverse outcomes in COVID-19 patients predominantly of mild-to-moderate severity. Clin Endocrinol (Oxf) 2021; 95:469-477. [PMID: 33813743 PMCID: PMC8250365 DOI: 10.1111/cen.14476] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/27/2021] [Accepted: 03/31/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Existing studies reported the potential prognostic role of non-thyroidal illness syndrome (NTIS), characterized by low triiodothyronine (T3) with normal/low thyroid-stimulating hormone (TSH), mainly in severe COVID-19. None considered the significant impact of SARS-CoV-2 viral load on adverse outcomes. We aimed to clarify the prognostic role of NTIS among predominantly mild-to-moderate COVID-19 patients. DESIGN A prospective study of COVID-19 patients. PATIENTS AND MEASUREMENTS Consecutive adults admitted to Queen Mary Hospital for confirmed COVID-19 from July to December 2020 were prospectively recruited. SARS-CoV-2 viral load was represented by cycle threshold (Ct) values from real-time reverse transcription-polymerase chain reaction of the respiratory specimen on admission. Serum TSH, free thyroxine and free T3 were measured on admission. The outcome was deterioration in clinical severity, defined as worsening in ≥1 category of clinical severity according to the Chinese National Health Commission guideline. RESULTS We recruited 367 patients. At baseline, 75.2% had mild disease, and 27 patients (7.4%) had NTIS. Fifty-three patients (14.4%) had clinical deterioration. Patients with NTIS were older, had more comorbidities, worse symptomatology, higher SARS-CoV-2 viral loads and worse profiles of inflammatory and tissue injury markers. They were more likely to have clinical deterioration (p < .001). In multivariable stepwise logistic regression analysis, NTIS independently predicted clinical deterioration (adjusted odds ratio 3.19, p = .017), in addition to Ct value <25 (p < .001), elevated C-reactive protein (p = .004), age >50 years (p = .011) and elevated creatine kinase (p = .017). CONCLUSIONS Non-thyroidal illness syndrome was not uncommon even in mild-to-moderate COVID-19 patients. NTIS on admission could predict clinical deterioration in COVID-19, independent of SARS-CoV-2 viral load, age and markers of inflammation and tissue injury.
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Affiliation(s)
- David Tak Wai Lui
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Chi Ho Lee
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Wing Sun Chow
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Alan Chun Hong Lee
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Anthony Raymond Tam
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Carol Ho Yi Fong
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Chun Yiu Law
- Division of Chemical PathologyQueen Mary HospitalHong KongChina
| | - Eunice Ka Hong Leung
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Kelvin Kai Wang To
- Department of MicrobiologyThe University of Hong KongQueen Mary HospitalHong KongChina
| | | | - Yu Cho Woo
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Ching Wan Lam
- Department of PathologyThe University of Hong KongHong KongChina
| | - Ivan Fan Ngai Hung
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
| | - Karen Siu Ling Lam
- Department of MedicineThe University of Hong KongQueen Mary HospitalHong KongChina
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17
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Jamwal VL, Kumar N, Bhat R, Jamwal PS, Singh K, Dogra S, Kulkarni A, Bhadra B, Shukla MR, Saran S, Dasgupta S, Vishwakarma RA, Gandhi SG. Optimization and validation of RT-LAMP assay for diagnosis of SARS-CoV2 including the globally dominant Delta variant. Virol J 2021; 18:178. [PMID: 34461941 PMCID: PMC8404189 DOI: 10.1186/s12985-021-01642-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/12/2021] [Indexed: 01/12/2023] Open
Abstract
Background Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19 pandemic, has infected more than 179 million people worldwide. Testing of infected individuals is crucial for identification and isolation, thereby preventing further spread of the disease. Presently, Taqman™ Reverse Transcription Real Time PCR is considered gold standard, and is the most common technique used for molecular testing of COVID-19, though it requires sophisticated equipments, expertise and is also relatively expensive. Objective Development and optimization of an alternate molecular testing method for the diagnosis of COVID-19, through a two step Reverse Transcription Loop-mediated isothermal AMPlification (RT-LAMP). Results Primers for LAMP were carefully designed for discrimination from other closely related human pathogenic coronaviruses. Care was also taken that primer binding sites are present in conserved regions of SARS-CoV2. Our analysis shows that the primer binding sites are well conserved in all the variants of concern (VOC) and variants of interest (VOI), notified by World Health Organization (WHO). These lineages include B.1.1.7, B.1.351, P.1, B.1.617.2, B.1.427/B.1.429, P.2, B.1.525, P.3, B.1.526 and B.1.617.1. Various DNA polymerases with strand displacement activity were evaluated and conditions were optimized for LAMP amplification and visualization. Different LAMP primer sets were also evaluated using synthetic templates as well as patient samples. Conclusion In a double blind study, the RT-LAMP assay was validated on more than 150 patient samples at two different sites. The RT-LAMP assay appeared to be 89.2% accurate when compared to the Taqman™ rt-RT-PCR assay. Supplementary Information The online version contains supplementary material available at 10.1186/s12985-021-01642-9.
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Affiliation(s)
- Vijay Lakshmi Jamwal
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Natish Kumar
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Rahul Bhat
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Piyush Singh Jamwal
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Kaurab Singh
- Higher Education Department, Union Territory of Jammu and Kashmir, Jammu, India
| | - Sandeep Dogra
- Department of Microbiology, Government Medical College, Jammu, 180001, India
| | - Abhishek Kulkarni
- A2O - Biology, Reliance Technology Group, Reliance Industries Limited, RCP, Navi Mumbai, 400701, India
| | - Bhaskar Bhadra
- A2O - Biology, Reliance Technology Group, Reliance Industries Limited, RCP, Navi Mumbai, 400701, India
| | - Manish R Shukla
- A2O - Biology, Reliance Technology Group, Reliance Industries Limited, RCP, Navi Mumbai, 400701, India
| | - Saurabh Saran
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Santanu Dasgupta
- A2O - Biology, Reliance Technology Group, Reliance Industries Limited, RCP, Navi Mumbai, 400701, India
| | - Ram A Vishwakarma
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Sumit G Gandhi
- CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India. .,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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18
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Yang S, Pan X, Yuan D, Zeng P, Jia P. Cross-disciplinary approaches to assist with nucleic acid testing for SARS-CoV-2. Appl Microbiol Biotechnol 2021; 105:6291-6299. [PMID: 34423408 PMCID: PMC8380513 DOI: 10.1007/s00253-021-11498-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/30/2021] [Accepted: 08/03/2021] [Indexed: 12/28/2022]
Abstract
Improving the capacity of detecting positive severe acute respiratory syndrome coronavirus 2 is critical for identifying the infection of coronavirus disease 2019 (COVID-19) precisely and thereby curbing the pandemic. Cross-disciplinary approaches may improve the efficiency of COVID-19 diagnosis by compensating to some extent the limitations encountered by traditional test methods during the COVID-19 pandemic. Combining computed tomography (CT), serum-specific antibody detection, and nanopore sequencing with nucleic acid testing for individual testing may improve the accuracy of identifying COVID-19 patients. At community or even regional/national levels, the combination of pooled screening and spatial epidemiological strategies may enable the detection of early transmission of epidemics in a cost-effective way, which is also less affected by restricted access to diagnostic tests and kit supplies. This would significantly advance our capacity of curbing epidemics as soon as possible, and better prepare us for entering a new era of high-impact and high-frequency epidemics.
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Affiliation(s)
- Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Wuhan University, Wuhan, China
| | - Xiongfeng Pan
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Wuhan University, Wuhan, China
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Dan Yuan
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Peibin Zeng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| | - Peng Jia
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Wuhan University, Wuhan, China.
- School of Resources and Environmental Science, Wuhan University, Wuhan, China.
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19
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Qasem A, Shaw AM, Elkamel E, Naser SA. Coronavirus Disease 2019 (COVID-19) Diagnostic Tools: A Focus on Detection Technologies and Limitations. Curr Issues Mol Biol 2021; 43:728-748. [PMID: 34287238 PMCID: PMC8929116 DOI: 10.3390/cimb43020053] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 07/15/2021] [Accepted: 07/16/2021] [Indexed: 12/24/2022] Open
Abstract
The ongoing coronavirus disease (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a severe threat to human health and the global economy and has resulted in overwhelming stress on health care systems worldwide. Despite the global health catastrophe, especially in the number of infections and fatalities, the COVID-19 pandemic has also revolutionized research and discovery with remarkable success in diagnostics, treatments, and vaccine development. The use of many diagnostic methods has helped establish public health guidelines to mitigate the spread of COVID-19. However, limited information has been shared about these methods, and there is a need for the scientific community to learn about these technologies, in addition to their sensitivity, specificity, and limitations. This review article is focused on providing insights into the major methods used for SARS-CoV-2 detection. We describe in detail the core principle of each method, including molecular and serological approaches, along with reported claims about the rates of false negatives and false positives, the types of specimens needed, and the level of technology and the time required to perform each test. Although this study will not rank or prioritize these methods, the information will help in the development of guidelines and diagnostic protocols in clinical settings and reference laboratories.
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Affiliation(s)
| | | | | | - Saleh A. Naser
- Division of Molecular Microbiology, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, 4110 Libra Drive, Orlando, FL 32816, USA; (A.Q.); (A.M.S.); (E.E.)
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20
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To KKW, Chan WM, Ip JD, Chu AWH, Tam AR, Liu R, Wu AKL, Lung KC, Tsang OTY, Lau DPL, To WK, Kwan MYW, Yau YS, Ng ACK, Yip CCY, Chan KH, Tse H, Hung IFN, Yuen KY. Unique Clusters of Severe Acute Respiratory Syndrome Coronavirus 2 Causing a Large Coronavirus Disease 2019 Outbreak in Hong Kong. Clin Infect Dis 2021; 73:137-142. [PMID: 32756996 PMCID: PMC7454385 DOI: 10.1093/cid/ciaa1119] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 01/08/2023] Open
Abstract
After two months of relative quiescence, a large COVID-19 outbreak occurred in Hong Kong in July 2020 after gradual relaxation of social distancing policy. Two unique SARS-CoV-2 phylogenetic clusters have been identified among locally-acquired cases, with most genomes belonging to cluster HK1 which is phylogenetically related to SARS-CoV-2 reported overseas.
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Affiliation(s)
- Kelvin Kai-Wang To
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Wan-Mui Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Anthony Raymond Tam
- Department of Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Raymond Liu
- Department of Medicine and Geriatrics, Ruttonjee Hospital, Hong Kong Special Administrative Region, China
| | - Alan Ka-Lun Wu
- Department of Microbiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
| | - Kwok-Cheung Lung
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
| | - Owen Tak-Yin Tsang
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Daphne Pui-Ling Lau
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Wing-Kin To
- Department of Pathology, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Mike Yat-Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Yat-Sun Yau
- Department of Paediatrics, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Anthony Chin-Ki Ng
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Cyril Chik-Yan Yip
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kwok-Hung Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Herman Tse
- Department of Pathology, Hong Kong Children's Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.,Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
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21
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Yip CCY, Leung KH, Ng ACK, Chan KH, To KKW, Chan JFW, Hung IFN, Cheng VCC, Sridhar S. Comparative evaluation of a dual-target real-time RT-PCR assay for COVID-19 diagnosis and assessment of performance in pooled saliva and nasopharyngeal swab samples. Expert Rev Mol Diagn 2021; 21:741-747. [PMID: 34014785 PMCID: PMC8182820 DOI: 10.1080/14737159.2021.1933445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 05/19/2021] [Indexed: 11/05/2022]
Abstract
OBJECTIVES Sensitive molecular diagnostic assays are essential for COVID-19 diagnosis. We evaluated the Hecin Scientific SARS-CoV-2 nucleic acid test kit, a dual-target real-time RT-PCR assay targeting the SARS-CoV-2 N and ORF1ab genes. METHODS The Hecin test kit's diagnostic performance in detecting SARS-CoV-2 RNA was compared to the LightMix Modular SARS and Wuhan CoV E-gene kit (TIB Molbiol) and an in-house single-tube nested real-time RT-PCR using 296 clinical specimens, 11 proficiency testing samples, and 30 low-positive deep throat saliva and nasopharyngeal swab (NPS) samples pooled into negative samples in ratios of 1:5, 1:10, and 1:30. RESULTS The limit-of-detection of the Hecin test kit was around 500 dC/mL for the N and ORF1ab targets. Sensitivity and specificity of the Hecin test kit were 98.1% (95% CI: 93.4-99.8%) and 100% (98.1-100%), respectively, when measured against the reference method. The Hecin test kit showed fair sensitivity (80%) in low-positive NPS samples pooled in ratios of 1:5 and 1:10. Its performance in pooled samples could be dramatically improved by adjusting the assay Ct cutoff. CONCLUSION The Hecin test kit enables sensitive and specific detection of SARS-CoV-2 in clinical samples and pooled samples.
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Affiliation(s)
- Cyril C. Y. Yip
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kit-Hang Leung
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Anthony C. K. Ng
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwok-Hung Chan
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kelvin K. W. To
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jasper F. W Chan
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ivan F. N. Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent C. C. Cheng
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Siddharth Sridhar
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
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22
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Lin B, Hui J, Mao H. Nanopore Technology and Its Applications in Gene Sequencing. BIOSENSORS-BASEL 2021; 11:bios11070214. [PMID: 34208844 PMCID: PMC8301755 DOI: 10.3390/bios11070214] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/22/2021] [Accepted: 06/25/2021] [Indexed: 12/14/2022]
Abstract
In recent years, nanopore technology has become increasingly important in the field of life science and biomedical research. By embedding a nano-scale hole in a thin membrane and measuring the electrochemical signal, nanopore technology can be used to investigate the nucleic acids and other biomacromolecules. One of the most successful applications of nanopore technology, the Oxford Nanopore Technology, marks the beginning of the fourth generation of gene sequencing technology. In this review, the operational principle and the technology for signal processing of the nanopore gene sequencing are documented. Moreover, this review focuses on the applications using nanopore gene sequencing technology, including the diagnosis of cancer, detection of viruses and other microbes, and the assembly of genomes. These applications show that nanopore technology is promising in the field of biological and biomedical sensing.
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Affiliation(s)
- Bo Lin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (B.L.); (J.H.)
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianan Hui
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (B.L.); (J.H.)
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (B.L.); (J.H.)
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: ; Tel.: +86-21-62511070-8707
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23
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Nanodiagnostics: A review of the medical capabilities of nanopores. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 37:102425. [PMID: 34174420 DOI: 10.1016/j.nano.2021.102425] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 04/22/2021] [Accepted: 05/09/2021] [Indexed: 11/20/2022]
Abstract
Modern diagnostics strive to be accurate, fast, and inexpensive in addition to properly identifying the presence of a disease, infection, or illness. Early diagnosis is key; catching a disease in its early stages can be the difference between fatality and treatment. The challenge with many diseases is that detectability of the disease scales with disease progression. Since single molecule sensors, e.g., nanopores, can sense biomolecules at low concentrations, they have the potential to become clinically relevant in many of today's medical settings. With nanopore-based sensing, lower volumes and concentrations are required for detection, enabling it to be clinically beneficial. Other advantages to using nanopores include that they are tunable to an enormous variety of molecules and boast low costs, and fabrication is scalable for manufacturing. We discuss previous reports and the potential for incorporating nanopores into the medical field for early diagnostics, therapeutic monitoring, and identifying relapse/recurrence.
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24
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Gadkar VJ, Goldfarb DM, Young V, Watson N, Al-Rawahi GN, Srigley JA, Tilley P. Development and validation of a new triplex real-time quantitative reverse Transcriptase-PCR assay for the clinical detection of SARS-CoV-2. Mol Cell Probes 2021; 58:101744. [PMID: 34089805 PMCID: PMC8176879 DOI: 10.1016/j.mcp.2021.101744] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/19/2021] [Accepted: 05/27/2021] [Indexed: 12/03/2022]
Abstract
To increase the repertoire of PCR based laboratory developed tests (LDTs) for the detection of SARS-CoV-2, we describe a new multiplex assay (SORP), targeting the SARS-CoV-2's, Spike and ORF8 genes. The widely used human RNaseP internal control was modified to specifically co-amplify the RNaseP mRNA. The SORP triplex assay was tested on a cohort (n = 372; POS = 144/NEG = 228) of nasopharyngeal flocked swab (NPFS) specimens, previously tested for the presence of SARS-CoV-2 using a PCR assay targeting E and RdRp genes. The overall sensitivity and specificity of the SORP assay was: 99.31% (95% CI: 96.22–99.98%), 100.0% (95% CI: 98.4–100%) respectively. The SORP assay could also detect a panel of variants of concern (VOC) from the B1.1.7 (UK) and B1.351 (SA) lineage. In summary, access to a repertoire of new SARS-CoV-2 LDT's would assist diagnostic laboratories in developing strategies to overcome some of the testing issues encountered during high-throughput SARS-CoV-2 testing.
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Affiliation(s)
- Vijay J Gadkar
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada; Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - David M Goldfarb
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada; Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Virginia Young
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada
| | - Nicole Watson
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada
| | - Ghada N Al-Rawahi
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada; Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Jocelyn A Srigley
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada; Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Peter Tilley
- Department of Pathology & Laboratory Medicine, Division of Microbiology, Virology & Infection Control, BC Children's and Women's Hospital + Sunny Health Center, Vancouver, Canada; Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada
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25
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Caixeta DC, Oliveira SW, Cardoso-Sousa L, Cunha TM, Goulart LR, Martins MM, Marin LM, Jardim ACG, Siqueira WL, Sabino-Silva R. One-Year Update on Salivary Diagnostic of COVID-19. Front Public Health 2021; 9:589564. [PMID: 34150692 PMCID: PMC8210583 DOI: 10.3389/fpubh.2021.589564] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 03/31/2021] [Indexed: 01/19/2023] Open
Abstract
Background: Coronavirus disease 2019 (COVID-19) is a global health problem, which is challenging healthcare worldwide. In this critical review, we discussed the advantages and limitations in the implementation of salivary diagnostic platforms of COVID-19. The diagnostic test of COVID-19 by invasive nasopharyngeal collection is uncomfortable for patients and requires specialized training of healthcare professionals in order to obtain an appropriate collection of samples. Additionally, these professionals are in close contact with infected patients or suspected cases of COVID-19, leading to an increased contamination risk for frontline healthcare workers. Although there is a colossal demand for novel diagnostic platforms with non-invasive and self-collection samples of COVID-19, the implementation of the salivary platforms has not been implemented for extensive scale testing. Up to date, several cross-section and clinical trial studies published in the last 12 months support the potential of detecting SARS-CoV-2 RNA in saliva as a biomarker for COVID-19, providing a self-collection, non-invasive, safe, and comfortable procedure. Therefore, the salivary diagnosis is suitable to protect healthcare professionals and other frontline workers and may encourage patients to get tested due to its advantages over the current invasive methods. The detection of SARS-CoV-2 in saliva was substantial also in patients with a negative nasopharyngeal swab, indicating the presence of false negative results. Furthermore, we expect that salivary diagnostic devices for COVID-19 will continue to be used with austerity without excluding traditional gold standard specimens to detect SARS-CoV-2.
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Affiliation(s)
- Douglas Carvalho Caixeta
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil
| | - Stephanie Wutke Oliveira
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil
- School of Dentistry, Federal University of Uberlandia, Uberlandia, Brazil
| | - Leia Cardoso-Sousa
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil
| | | | - Luiz Ricardo Goulart
- Institute of Genetics and Biochemistry, Federal University of Uberlandia, Uberlandia, Brazil
| | - Mario Machado Martins
- Institute of Genetics and Biochemistry, Federal University of Uberlandia, Uberlandia, Brazil
| | - Lina Maria Marin
- College of Dentistry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Ana Carolina Gomes Jardim
- Laboratory of Virology, Institute of Biomedical Science, Federal University of Uberlandia, Uberlandia, Brazil
- São Paulo State University, Institute of Biosciences, Humanities and Exact Sciences, São José Do Rio Preto, Brazil
| | | | - Robinson Sabino-Silva
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Brazil
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26
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Rahul M, Tewari N, Mathur V, Goel S, Jain G. Evidence mapping and quality analysis of published dental literature on COVID-19 - A systematic review. Natl J Maxillofac Surg 2021; 12:139-161. [PMID: 34483571 PMCID: PMC8386272 DOI: 10.4103/njms.njms_237_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 02/12/2021] [Indexed: 12/14/2022] Open
Abstract
A large number of scientific articles have been published regarding impact of COVID-19 infection on dental practice, dental professionals, and the mode of spread of infection via dental procedures. The present systematic review was planned with an aim of evidence mapping and quality analysis of published research on the dental aspects of COVID-19 infection. The protocol was registered at https://share.osf.io/registration/46221-C87-BA8. The search was performed in Scopus, PubMed, Cochrane, and Embase databases till 15th July 2020. There was no restriction of year of publication and language. All types of published articles related to Dentistry, Dentist, Dental practice, and Oral health education on COVID-19 were included. The Joanna Briggs Institute's (JBI) Critical Appraisal Tools were used for the risk of bias analysis of included studies. A total of 393 articles were short-listed and were checked for eligibility and finally, 380 articles were included. Among the 380 research articles published (till July 15, 2020), the majority of the included articles belonged to the lowermost strata of the evidence pyramid. There were 54 original research articles with no randomized clinical trial, systematic review or, meta-analysis pertaining to the dental perspective of COVID-19 infection. The level of available evidence about dentistry and COVID-19 infection is very low with a lack of researches of highest quality. The guidelines/recommendations for dental professionals, proposed by the different scientific organizations/societies regarding COVID-19 infection are only consensus-based necessitating the need to formulate evidence-based guidelines. There is a need to identify essential research questions and strengthen the study designs in most of the aspects related to the dentistry and COVID-19 pandemic.
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Affiliation(s)
- Morankar Rahul
- Division of Pedodontics and Preventive Dentistry, Centre for Dental Education and Research, AIIMS, New Delhi, India
| | - Nitesh Tewari
- Division of Pedodontics and Preventive Dentistry, Centre for Dental Education and Research, AIIMS, New Delhi, India
| | - Vijay Mathur
- Division of Pedodontics and Preventive Dentistry, Centre for Dental Education and Research, AIIMS, New Delhi, India
| | - Shubhi Goel
- Division of Pedodontics and Preventive Dentistry, Centre for Dental Education and Research, AIIMS, New Delhi, India
| | - Gunjar Jain
- Department of Orthopaedics, AIIMS, New Delhi, India
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Chan WM, Ip JD, Chu AWH, Tse H, Tam AR, Li X, Kwan MYW, Yau YS, Leung WS, Chik TSH, To WK, Ng ACK, Yip CCY, Poon RWS, Chan KH, Wong SCY, Choi GKY, Lung DC, Cheng VCC, Hung IFN, Yuen KY, To KKW. Phylogenomic analysis of COVID-19 summer and winter outbreaks in Hong Kong: An observational study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2021; 10:100130. [PMID: 33778795 PMCID: PMC7985010 DOI: 10.1016/j.lanwpc.2021.100130] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Viral genomic surveillance is vital for understanding the transmission of COVID-19. In Hong Kong, breakthrough outbreaks have occurred in July (third wave) and November (fourth wave) 2020. We used whole viral genome analysis to study the characteristics of these waves. METHODS We analyzed 509 SARS-CoV-2 genomes collected from Hong Kong patients between 22nd January and 29th November, 2020. Phylogenetic and phylodynamic analyses were performed, and were interpreted with epidemiological information. FINDINGS During the third and fourth waves, diverse SARS-CoV-2 genomes were identified among imported infections. Conversely, local infections were dominated by a single lineage during each wave, with 96.6% (259/268) in the third wave and 100% (73/73) in the fourth wave belonging to B.1.1.63 and B.1.36.27 lineages, respectively. While B.1.1.63 lineage was imported 2 weeks before the beginning of the third wave, B.1.36.27 lineage has circulated in Hong Kong for 2 months prior to the fourth wave. During the fourth wave, 50.7% (37/73) of local infections in November was identical to the viral genome from an imported case in September. Within B.1.1.63 or B.1.36.27 lineage in our cohort, the most common non-synonymous mutations occurred at the helicase (nsp13) gene. INTERPRETATION Although stringent measures have prevented most imported cases from spreading in Hong Kong, a single lineage with low-level local transmission in October and early November was responsible for the fourth wave. A superspreading event or lower temperature in November may have facilitated the spread of the B.1.36.27 lineage.
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Affiliation(s)
- Wan-Mui Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Jonathan Daniel Ip
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Allen Wing-Ho Chu
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Herman Tse
- Department of Pathology, Hong Kong Children's Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Anthony Raymond Tam
- Department of Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Xin Li
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Mike Yat-Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Yat-Sun Yau
- Department of Paediatrics, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Wai-Shing Leung
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Thomas Shiu-Hong Chik
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Wing-Kin To
- Department of Pathology, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Anthony Chin-Ki Ng
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Cyril Chik-Yan Yip
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Rosana Wing-Shan Poon
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kwok-Hung Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Sally Cheuk-Ying Wong
- Department of Pathology, Hong Kong Children's Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Garnet Kwan-Yue Choi
- Department of Pathology, Hong Kong Children's Hospital, Kowloon, Hong Kong Special Administrative Region, China
- Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - David Christopher Lung
- Department of Pathology, Hong Kong Children's Hospital, Kowloon, Hong Kong Special Administrative Region, China
- Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Vincent Chi-Chung Cheng
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Kelvin Kai-Wang To
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
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28
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Chu AWH, Yip CCY, Chan WM, Ng ACK, Chan DLS, Siu RHP, Chung CYT, Ng JPL, Kittur H, Mosley GL, Poon RWS, Chiu RYT, To KKW. Evaluation of an Automated High-Throughput Liquid-Based RNA Extraction Platform on Pooled Nasopharyngeal or Saliva Specimens for SARS-CoV-2 RT-PCR. Viruses 2021; 13:v13040615. [PMID: 33918447 PMCID: PMC8067048 DOI: 10.3390/v13040615] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 03/25/2021] [Accepted: 03/31/2021] [Indexed: 11/30/2022] Open
Abstract
SARS-CoV-2 RT-PCR with pooled specimens has been implemented during the COVID-19 pandemic as a cost- and manpower-saving strategy for large-scale testing. However, there is a paucity of data on the efficiency of different nucleic acid extraction platforms on pooled specimens. This study compared a novel automated high-throughput liquid-based RNA extraction (LRE) platform (PHASIFY™) with a widely used magnetic bead-based total nucleic acid extraction (MBTE) platform (NucliSENS® easyMAG®). A total of 60 pools of nasopharyngeal swab and 60 pools of posterior oropharyngeal saliva specimens, each consisting of 1 SARS-CoV-2 positive and 9 SARS-CoV-2 negative specimens, were included for the comparison. Real-time RT-PCR targeting the SARS-CoV-2 RdRp/Hel gene was performed, and GAPDH RT-PCR was used to detect RT-PCR inhibitors. No significant differences were observed in the Ct values and overall RT-PCR positive rates between LRE and MBTE platforms (92.5% (111/120] vs. 90% (108/120]), but there was a slightly higher positive rate for LRE (88.3% (53/60]) than MBTE (81.7% (49/60]) among pooled saliva. The automated LRE method is comparable to a standard MBTE method for the detection of SAR-CoV-2 in pooled specimens, providing a suitable alternative automated extraction platform. Furthermore, LRE may be better suited for pooled saliva specimens due to more efficient removal of RT-PCR inhibitors.
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Affiliation(s)
- Allen Wing-Ho Chu
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong; (A.W.-H.C.); (W.-M.C.); (A.C.-K.N.)
| | - Cyril Chik-Yan Yip
- Department of Microbiology, Queen Mary Hospital, Pok Fu Lam, Hong Kong; (C.C.-Y.Y.); (R.W.-S.P.)
| | - Wan-Mui Chan
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong; (A.W.-H.C.); (W.-M.C.); (A.C.-K.N.)
| | - Anthony Chin-Ki Ng
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong; (A.W.-H.C.); (W.-M.C.); (A.C.-K.N.)
| | - Dream Lok-Sze Chan
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Ryan Ho-Ping Siu
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Cheuk Yiu Tenny Chung
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Jessica Pui-Ling Ng
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Harsha Kittur
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Garrett Lee Mosley
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Rosana Wing-Shan Poon
- Department of Microbiology, Queen Mary Hospital, Pok Fu Lam, Hong Kong; (C.C.-Y.Y.); (R.W.-S.P.)
| | - Ricky Yin-To Chiu
- PHASE Scientific International Limited, Kowloon, Hong Kong; (D.L.-S.C.); (R.H.-P.S.); (C.Y.T.C.); (J.P.-L.N.); (H.K.); (G.L.M.); (R.Y.-T.C.)
| | - Kelvin Kai-Wang To
- State Key Laboratory for Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong; (A.W.-H.C.); (W.-M.C.); (A.C.-K.N.)
- Department of Microbiology, Queen Mary Hospital, Pok Fu Lam, Hong Kong; (C.C.-Y.Y.); (R.W.-S.P.)
- Correspondence: ; Tel.: +(852)-2255-2413; Fax: +(852)-2855-1241
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Huergo MAC, Thanh NTK. Current advances in the detection of COVID-19 and evaluation of the humoral response. Analyst 2021; 146:382-402. [PMID: 33410826 DOI: 10.1039/d0an01686a] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The new outbreak caused by coronavirus SARS-CoV-2 started at the end of 2019 and was declared a pandemic in March 2020. Since then, several diagnostic approaches have been re-adapted, and also improved from the previous detections of SARS and MERS coronavirus. The best strategy to handle this situation seems to rely on a triad of detection methods: (i) highly sensitive and specific techniques as the gold standard method, (ii) easier and faster point of care tests accessible for large population screening, and (iii) serology assays to complement the direct detection and to use for surveillance. In this study, we assessed the techniques and tests described in the literature, their advantages and disadvantages, and the interpretation of the results. Quantitative reverse transcription polymerase chain reaction (RT-qPCR) is undoubtedly the gold standard technique utilized not only for diagnostics, but also as a standard for comparison and validation of newer approaches. Other nucleic acid amplification methods have been shown to be adequate as point of care (POC) diagnostic tests with similar performance as RT-qPCR. The analysis of seroconversion with immunotests shows the complexity of the immune response to COVID-19. The detection of anti-SARS-CoV-2 antibodies can also help to detect previously infected asymptomatic individuals with negative RT-qPCR tests. Nevertheless, more controlled serology cohort studies should be performed as soon as possible to understand the immune response to SARS-CoV-2.
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Affiliation(s)
- Maria Ana Cristina Huergo
- Theoretical and Applied Physical Chemical Research Institute (INIFTA), National Univesity of La Plata (UNLP), CONICET. Sucursal 4 Casilla de Correo 16, 1900 La Plata, Argentina.
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30
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Zhou Y, Pei F, Ji M, Wang L, Zhao H, Li H, Yang W, Wang Q, Zhao Q, Wang Y. Sensitivity evaluation of 2019 novel coronavirus (SARS-CoV-2) RT-PCR detection kits and strategy to reduce false negative. PLoS One 2020; 15:e0241469. [PMID: 33206690 PMCID: PMC7673793 DOI: 10.1371/journal.pone.0241469] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/15/2020] [Indexed: 02/06/2023] Open
Abstract
The early detection and differential diagnosis of respiratory infections increase the chances for successful control of COVID-19 disease. The nucleic acid RT-PCR test is regarded as the current standard for molecular diagnosis. However, the maximal specificity confirmation target ORF1ab gene is considered to be less sensitive than other targets in clinical application. In addition, recent evidence indicated that the initial missed diagnosis of asymptomatic patients with SARS-CoV-2 and discharged patients with "re-examination positive" might be due to low viral load, and the ability of rapid mutation of SARS-CoV-2 also increases the rate of false-negative results. Moreover, the mixed sample nucleic acid detection is helpful in seeking out the early community transmission of SARS-CoV-2 rapidly, but the detection kit needs ultra-high detection sensitivity. Herein, the lowest detection concentration of different nucleic acid detection kits was evaluated and compared to provide direct evidence for the selection of kits for mixed sample detection or make recommendations for the selection of validation kit, which is of great significance for the prevention and control of the current epidemic and the discharge criteria of low viral load patients.
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Affiliation(s)
- Yunying Zhou
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Research Center of Basic Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Fengyan Pei
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Mingyu Ji
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Li Wang
- Jinan Infectious Disease Hospital, Shandong University, Jinan, Shandong, China
| | - Huailong Zhao
- Jinan Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Huanjie Li
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Weihua Yang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qingxi Wang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qianqian Zhao
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yunshan Wang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Research Center of Basic Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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31
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Chang JJM, Ip YCA, Ng CSL, Huang D. Takeaways from Mobile DNA Barcoding with BentoLab and MinION. Genes (Basel) 2020; 11:E1121. [PMID: 32987804 PMCID: PMC7598690 DOI: 10.3390/genes11101121] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 09/17/2020] [Accepted: 09/22/2020] [Indexed: 12/13/2022] Open
Abstract
Since the release of the MinION sequencer in 2014, it has been applied to great effect in the remotest and harshest of environments, and even in space. One of the most common applications of MinION is for nanopore-based DNA barcoding in situ for species identification and discovery, yet the existing sample capability is limited (n ≤ 10). Here, we assembled a portable sequencing setup comprising the BentoLab and MinION and developed a workflow capable of processing 32 samples simultaneously. We demonstrated this enhanced capability out at sea, where we collected samples and barcoded them onboard a dive vessel moored off Sisters' Islands Marine Park, Singapore. In under 9 h, we generated 105 MinION barcodes, of which 19 belonged to fresh metazoans processed immediately after collection. Our setup is thus viable and would greatly fortify existing portable DNA barcoding capabilities. We also tested the performance of the newly released R10.3 nanopore flow cell for DNA barcoding, and showed that the barcodes generated were ~99.9% accurate when compared to Illumina references. A total of 80% of the R10.3 nanopore barcodes also had zero base ambiguities, compared to 50-60% for R9.4.1, suggesting an improved homopolymer resolution and making the use of R10.3 highly recommended.
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Affiliation(s)
- Jia Jin Marc Chang
- Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore; (Y.C.A.I.); (C.S.L.N.)
| | - Yin Cheong Aden Ip
- Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore; (Y.C.A.I.); (C.S.L.N.)
| | - Chin Soon Lionel Ng
- Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore; (Y.C.A.I.); (C.S.L.N.)
- Tropical Marine Science Institute, National University of Singapore, 18 Kent Ridge Road, Singapore 119227, Singapore
| | - Danwei Huang
- Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Singapore; (Y.C.A.I.); (C.S.L.N.)
- Tropical Marine Science Institute, National University of Singapore, 18 Kent Ridge Road, Singapore 119227, Singapore
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32
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Yip CCY, Sridhar S, Leung KH, Ng ACK, Chan KH, Chan JFW, Tsang OTY, Hung IFN, Cheng VCC, Yuen KY, To KKW. Development and Evaluation of Novel and Highly Sensitive Single-Tube Nested Real-Time RT-PCR Assays for SARS-CoV-2 Detection. Int J Mol Sci 2020; 21:ijms21165674. [PMID: 32784770 PMCID: PMC7461039 DOI: 10.3390/ijms21165674] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/28/2020] [Accepted: 08/05/2020] [Indexed: 02/06/2023] Open
Abstract
Sensitive molecular assays are critical for coronavirus disease 2019 (COVID-19) diagnosis. Here, we designed and evaluated two single-tube nested (STN) real-time RT-PCR assays, targeting SARS-CoV-2 RdRp/Hel and N genes. Both STN assays had a low limit of detection and did not cross react with other human coronaviruses and respiratory viruses. Using 213 initial respiratory specimens from suspected COVID-19 patients, the sensitivity of both the STN COVID-19-RdRp/Hel and the STN COVID-19-N assays was 100% (99/99), while that of the comparator non-nested N assay was 95% (94/99). Among 108 follow-up specimens from confirmed COVID-19 patients who tested negative by the non-nested COVID-19-RdRp/Hel assay, 28 (25.9%) were positive for SARS-CoV-2 by the STN COVID-19-RdRp/Hel or the STN COVID-19-N assay. To evaluate the performance of our novel STN assays in pooled specimens, we created four sample pools, with each pool consisting of one low positive specimen and 49 negative specimens. While the non-nested COVID-19-RdRp/Hel assay was positive in only one of four sample pools (25%), both of the STN assays were positive in two of four samples pools (50%). In conclusion, the STN assays are highly sensitive and specific for SARS-CoV-2 detection. Their boosted sensitivity offers advantages in non-traditional COVID-19 testing algorithms such as saliva screening and pooled sample screening during massive screening.
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Affiliation(s)
- Cyril Chik-Yan Yip
- Department of Microbiology, Queen Mary Hospital, Hong Kong, China; (C.C.-Y.Y.); (V.C.-C.C.)
| | - Siddharth Sridhar
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kit-Hang Leung
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
| | - Anthony Chin-Ki Ng
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
| | - Kwok-Hung Chan
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jasper Fuk-Woo Chan
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Owen Tak-Yin Tsang
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, China;
| | | | | | - Kwok-Yung Yuen
- Department of Microbiology, Queen Mary Hospital, Hong Kong, China; (C.C.-Y.Y.); (V.C.-C.C.)
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Correspondence: (K.-Y.Y.); (K.K.-W.T.); Tel.: +852-2255-2584 (K.-Y.Y. & K.K.-W.T.); Fax: +852-2855-1241 (K.-Y.Y. & K.K.-W.T.)
| | - Kelvin Kai-Wang To
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; (S.S.); (K.-H.L.); (A.C.-K.N.); (K.-H.C.); (J.F.-W.C.)
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Correspondence: (K.-Y.Y.); (K.K.-W.T.); Tel.: +852-2255-2584 (K.-Y.Y. & K.K.-W.T.); Fax: +852-2855-1241 (K.-Y.Y. & K.K.-W.T.)
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33
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Zhou Y, Pei F, Ji M, Wang L, Zhao H, Li H, Yang W, Wang Q, Zhao Q, Wang Y. Sensitivity evaluation of 2019 novel coronavirus (SARS-CoV-2) RT-PCR detection kits and strategy to reduce false negative. PLoS One 2020. [PMID: 33206690 DOI: 10.1101/2020.04.28.20083956] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
The early detection and differential diagnosis of respiratory infections increase the chances for successful control of COVID-19 disease. The nucleic acid RT-PCR test is regarded as the current standard for molecular diagnosis. However, the maximal specificity confirmation target ORF1ab gene is considered to be less sensitive than other targets in clinical application. In addition, recent evidence indicated that the initial missed diagnosis of asymptomatic patients with SARS-CoV-2 and discharged patients with "re-examination positive" might be due to low viral load, and the ability of rapid mutation of SARS-CoV-2 also increases the rate of false-negative results. Moreover, the mixed sample nucleic acid detection is helpful in seeking out the early community transmission of SARS-CoV-2 rapidly, but the detection kit needs ultra-high detection sensitivity. Herein, the lowest detection concentration of different nucleic acid detection kits was evaluated and compared to provide direct evidence for the selection of kits for mixed sample detection or make recommendations for the selection of validation kit, which is of great significance for the prevention and control of the current epidemic and the discharge criteria of low viral load patients.
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Affiliation(s)
- Yunying Zhou
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Research Center of Basic Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Fengyan Pei
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Mingyu Ji
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Li Wang
- Jinan Infectious Disease Hospital, Shandong University, Jinan, Shandong, China
| | - Huailong Zhao
- Jinan Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Huanjie Li
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Weihua Yang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qingxi Wang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qianqian Zhao
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yunshan Wang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Research Center of Basic Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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