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Miura D, Hayashi W, Hirano K, Sasaki I, Tsukakoshi K, Kakizoe H, Asai S, Vavricka CJ, Takemae H, Mizutani T, Tsugawa W, Sode K, Ikebukuro K, Asano R. Proximity-Unlocked Luminescence by Sequential Enzymatic Reactions from Antibody and Antibody/Aptamer (PULSERAA): A Platform for Detection and Visualization of Virus-Containing Spots. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2403871. [PMID: 39316377 DOI: 10.1002/advs.202403871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 08/23/2024] [Indexed: 09/25/2024]
Abstract
The SARS-CoV-2 pandemic has challenged more scientists to detect viruses and to visualize virus-containing spots for diagnosis and infection control; however, detection principles of commercially available technologies are not optimal for visualization. Here, a convenient and universal homogeneous detection platform named proximity-unlocked luminescence by sequential enzymatic reactions from antibody and antibody/aptamer (PULSERAA) is developed. This is designed so that the signal appears only when the donor and acceptor are in proximity on the viral surface. PULSERAA specifically detected in the range of 25-500 digital copies/mL of inactivated SARS-CoV-2 after simply mixing reagents; it is elucidated that the accumulation of chemical species in a limited space of the viral surface contributed to such high sensitivity. PULSERAA was quickly adapated to detect another virus variant, inactivated influenza A virus, and infectious SARS-CoV-2 in a clinical sample. Furthermore, on-site (direct, rapid, and portable) visualization of the inactivated SARS-CoV-2-containing spots by a conventional smartphone camera was achieved, demonstrating that PULSERAA can be a practical tool for preventing the next pandemic in the future.
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Affiliation(s)
- Daimei Miura
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
- Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, 3-8-1 Harumi-cho, Fuchu, Tokyo, 183-8538, Japan
| | - Wakana Hayashi
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Kensuke Hirano
- Department of Industrial Technology and Innovation, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Ikkei Sasaki
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Kaori Tsukakoshi
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Hidehumi Kakizoe
- Department of Laboratory Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Satomi Asai
- Department of Laboratory Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
- Division of Infection Control, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Christopher J Vavricka
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
- Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, 3-8-1 Harumi-cho, Fuchu, Tokyo, 183-8538, Japan
| | - Hitoshi Takemae
- Center for Infectious Disease Epidemiology and Prevention Research, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509, Japan
| | - Tetsuya Mizutani
- Center for Infectious Disease Epidemiology and Prevention Research, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509, Japan
- Cooperative Division of Veterinary Sciences, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509, Japan
| | - Wakako Tsugawa
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Koji Sode
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA
| | - Kazunori Ikebukuro
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Ryutaro Asano
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
- Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, 3-8-1 Harumi-cho, Fuchu, Tokyo, 183-8538, Japan
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Kumar A, Kaushal R, Sharma H, Sharma K, Menon MB, P V. Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes. Brief Funct Genomics 2024; 23:256-264. [PMID: 37461194 DOI: 10.1093/bfgp/elad027] [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: 01/27/2023] [Revised: 06/15/2023] [Accepted: 06/26/2023] [Indexed: 05/18/2024] Open
Abstract
We identified 11 conserved stretches in over 6.3 million SARS-CoV-2 genomes including all the major variants of concerns. Each conserved stretch is ≥100 nucleotides in length with ≥99.9% conservation at each nucleotide position. Interestingly, six of the eight conserved stretches in ORF1ab overlapped significantly with well-folded experimentally verified RNA secondary structures. Furthermore, two of the conserved stretches were mapped to regions within the S2-subunit that undergo dynamic structural rearrangements during viral fusion. In addition, the conserved stretches were significantly depleted for zinc-finger antiviral protein (ZAP) binding sites, which facilitated the recognition and degradation of viral RNA. These highly conserved stretches in the SARS-CoV-2 genome were poorly conserved at the nucleotide level among closely related β-coronaviruses, thus representing ideal targets for highly specific and discriminatory diagnostic assays. Our findings highlight the role of structural constraints at both RNA and protein levels that contribute to the sequence conservation of specific genomic regions in SARS-CoV-2.
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Affiliation(s)
- Akhil Kumar
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Rishika Kaushal
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Himanshi Sharma
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Khushboo Sharma
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Manoj B Menon
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Vivekanandan P
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
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3
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Ishige T. Molecular biology of SARS-CoV-2 and techniques of diagnosis and surveillance. Adv Clin Chem 2023; 118:35-85. [PMID: 38280807 DOI: 10.1016/bs.acc.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Abstract
The World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19), a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a global pandemic in March 2020. Reverse transcription-polymerase chain reaction (RT-PCR) is the reference technique for molecular diagnosis of SARS-CoV-2 infection. The SARS-CoV-2 virus is constantly mutating, and more transmissible variants have emerged, making genomic surveillance a crucial tool for investigating virus transmission dynamics, detecting novel genetic variants, and assessing mutation impact. The S gene, which encodes the spike protein, is frequently mutated, and it plays an important role in transmissibility. Spike protein mutations affect infectivity and vaccine effectiveness. SARS-CoV-2 variants are tracked using whole genome sequencing (WGS) and S-gene analysis. WGS, Sanger sequencing, and many S-gene-targeted RT-PCR methods have been developed. WGS and Sanger sequencing are standard methods for detecting mutations and can be used to identify known and unknown mutations. Melting curve analysis, endpoint genotyping assay, and S-gene target failure are used in the RT-PCR-based method for the rapid detection of specific mutations in SARS-CoV-2 variants. Therefore, these assays are suitable for high-throughput screening. The combinatorial use of RT-PCR-based assays, Sanger sequencing, and WGS enables rapid and accurate tracking of SARS-CoV-2 variants. In this review, we described RT-PCR-based detection and surveillance techniques for SARS-CoV-2.
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Affiliation(s)
- Takayuki Ishige
- Division of Laboratory Medicine, Chiba University Hospital, Chiba, Japan.
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Panca M, Blackstone J, Stirrup O, Cutino-Moguel MT, Thomson E, Peters C, Snell LB, Nebbia G, Holmes A, Chawla A, Machin N, Taha Y, Mahungu T, Saluja T, de Silva TI, Saeed K, Pope C, Shin GY, Williams R, Darby A, Smith DL, Loose M, Robson SC, Laing K, Partridge DG, Price JR, Breuer J. Evaluating the cost implications of integrating SARS-CoV-2 genome sequencing for infection prevention and control investigation of nosocomial transmission within hospitals. J Hosp Infect 2023; 139:23-32. [PMID: 37308063 PMCID: PMC10257337 DOI: 10.1016/j.jhin.2023.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND The COG-UK hospital-onset COVID-19 infection (HOCI) trial evaluated the impact of SARS-CoV-2 whole-genome sequencing (WGS) on acute infection, prevention, and control (IPC) investigation of nosocomial transmission within hospitals. AIM To estimate the cost implications of using the information from the sequencing reporting tool (SRT), used to determine likelihood of nosocomial infection in IPC practice. METHODS A micro-costing approach for SARS-CoV-2 WGS was conducted. Data on IPC management resource use and costs were collected from interviews with IPC teams from 14 participating sites and used to assign cost estimates for IPC activities as collected in the trial. Activities included IPC-specific actions following a suspicion of healthcare-associated infection (HAI) or outbreak, as well as changes to practice following the return of data via SRT. FINDINGS The mean per-sample costs of SARS-CoV-2 sequencing were estimated at £77.10 for rapid and £66.94 for longer turnaround phases. Over the three-month interventional phases, the total management costs of IPC-defined HAIs and outbreak events across the sites were estimated at £225,070 and £416,447, respectively. The main cost drivers were bed-days lost due to ward closures because of outbreaks, followed by outbreak meetings and bed-days lost due to cohorting contacts. Actioning SRTs, the cost of HAIs increased by £5,178 due to unidentified cases and the cost of outbreaks decreased by £11,246 as SRTs excluded hospital outbreaks. CONCLUSION Although SARS-CoV-2 WGS adds to the total IPC management cost, additional information provided could balance out the additional cost, depending on identified design improvements and effective deployment.
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Affiliation(s)
- M Panca
- Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, UCL, London, UK.
| | - J Blackstone
- Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, UCL, London, UK
| | - O Stirrup
- Institute for Global Health, UCL, London, UK
| | | | - E Thomson
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - C Peters
- NHS Greater Glasgow and Clyde, Glasgow, UK
| | - L B Snell
- Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK
| | - G Nebbia
- Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK
| | - A Holmes
- Imperial College Healthcare NHS Trust, London, UK
| | - A Chawla
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - N Machin
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Y Taha
- Departments of Virology and Infectious Diseases, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
| | - T Mahungu
- Royal Free NHS Foundation Trust, London, UK
| | - T Saluja
- Sandwell and West Birmingham NHS Trust, UK
| | - T I de Silva
- Department of Infection, Immunity and Cardiovascular Disease, Medical School, The University of Sheffield, Sheffield, UK
| | - K Saeed
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Pope
- St George's University Hospitals NHS Foundation Trust, London, UK; Institute for Infection and Immunity, St George's University of London, London, UK
| | - G Y Shin
- University College London Hospitals NHS Foundation Trust, London, UK
| | - R Williams
- Department of Genetics & Genomic Medicine, UCL Great Ormond Street Institute of Child Health, UCL, London, UK
| | - A Darby
- Centre for Genomic Research, University of Liverpool, Liverpool, UK
| | - D L Smith
- Department of Applied Sciences, Northumbria University, Newcastle, UK
| | - M Loose
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - S C Robson
- Centre for Enzyme Innovation & School of Pharmacy and Biomedical Science, University of Portsmouth, Portsmouth, UK
| | - K Laing
- Institute for Infection and Immunity, St George's University of London, London, UK
| | - D G Partridge
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - J R Price
- Imperial College Healthcare NHS Trust, London, UK
| | - J Breuer
- Department of Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, UCL, London, UK
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5
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Norvihoho LK, Yin J, Zhou ZF, Han J, Chen B, Fan LH, Lichtfouse E. Mechanisms controlling the transport and evaporation of human exhaled respiratory droplets containing the severe acute respiratory syndrome coronavirus: a review. ENVIRONMENTAL CHEMISTRY LETTERS 2023; 21:1701-1727. [PMID: 36846189 PMCID: PMC9944801 DOI: 10.1007/s10311-023-01579-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/13/2023] [Indexed: 05/24/2023]
Abstract
Transmission of the coronavirus disease 2019 is still ongoing despite mass vaccination, lockdowns, and other drastic measures to control the pandemic. This is due partly to our lack of understanding on the multiphase flow mechanics that control droplet transport and viral transmission dynamics. Various models of droplet evaporation have been reported, yet there is still limited knowledge about the influence of physicochemical parameters on the transport of respiratory droplets carrying the severe acute respiratory syndrome coronavirus 2. Here we review the effects of initial droplet size, environmental conditions, virus mutation, and non-volatile components on droplet evaporation and dispersion, and on virus stability. We present experimental and computational methods to analyze droplet transport, and factors controlling transport and evaporation. Methods include thermal manikins, flow techniques, aerosol-generating techniques, nucleic acid-based assays, antibody-based assays, polymerase chain reaction, loop-mediated isothermal amplification, field-effect transistor-based assay, and discrete and gas-phase modeling. Controlling factors include environmental conditions, turbulence, ventilation, ambient temperature, relative humidity, droplet size distribution, non-volatile components, evaporation and mutation. Current results show that medium-sized droplets, e.g., 50 µm, are sensitive to relative humidity. Medium-sized droplets experience delayed evaporation at high relative humidity, and increase airborne lifetime and travel distance. By contrast, at low relative humidity, medium-sized droplets quickly shrink to droplet nuclei and follow the cough jet. Virus inactivation within a few hours generally occurs at temperatures above 40 °C, and the presence of viral particles in aerosols impedes droplet evaporation.
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Affiliation(s)
- Leslie Kojo Norvihoho
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, 710049 Shaanxi People’s Republic of China
| | - Jing Yin
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, 710049 Shaanxi People’s Republic of China
| | - Zhi-Fu Zhou
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, 710049 Shaanxi People’s Republic of China
| | - Jie Han
- School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, 710049 Shaanxi People’s Republic of China
| | - Bin Chen
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, 710049 Shaanxi People’s Republic of China
| | - Li-Hong Fan
- The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 Shaanxi People’s Republic of China
| | - Eric Lichtfouse
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, 710049 Shaanxi People’s Republic of China
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Jiang C, Jiang K, Li X, Zhang N, Zhu W, Meng L, Zhang Y, Lu S. Evaluation of immunoprotection against coronavirus disease 2019: Novel variants, vaccine inoculation, and complications. J Pharm Anal 2023; 13:1-10. [PMID: 36317070 PMCID: PMC9605787 DOI: 10.1016/j.jpha.2022.10.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 11/07/2022] Open
Abstract
The strikingly rapidly mutating nature of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome has been a constant challenge during the coronavirus disease 2019 (COVID-19) pandemic. In this study, various techniques, including reverse transcription-quantitative polymerase chain reaction, antigen-detection rapid diagnostic tests, and high-throughput sequencing were analyzed under different scenarios and spectra for the etiological diagnosis of COVID-19 at the population scale. This study aimed to summarize the latest research progress and provide up-to-date understanding of the methodology used for the evaluation of the immunoprotection conditions against future variants of SARS-CoV-2. Our novel work reviewed the current methods for the evaluation of the immunoprotection status of a specific population (endogenous antibodies) before and after vaccine inoculation (administered with biopharmaceutical antibody products). The present knowledge of the immunoprotection status regarding the COVID-19 complications was also discussed. Knowledge on the immunoprotection status of specific populations can help guide the design of pharmaceutical antibody products, inform practice guidelines, and develop national regulations with respect to the timing of and need for extra rounds of vaccine boosters.
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Affiliation(s)
- Congshan Jiang
- National Regional Children's Medical Center (Northwest), Key Laboratory of Precision Medicine to Pediatric Diseases of Shaanxi Province, Xi'an Key Laboratory of Children's Health and Diseases, Shaanxi Institute for Pediatric Diseases, Xi'an Children's Hospital, Affiliated Children's Hospital of Xi'an Jiaotong University, Xi'an, 710003, China
| | - Kaichong Jiang
- National Regional Children's Medical Center (Northwest), Key Laboratory of Precision Medicine to Pediatric Diseases of Shaanxi Province, Xi'an Key Laboratory of Children's Health and Diseases, Shaanxi Institute for Pediatric Diseases, Xi'an Children's Hospital, Affiliated Children's Hospital of Xi'an Jiaotong University, Xi'an, 710003, China
| | - Xiaowei Li
- National Joint Engineering Research Center of Biodiagnostics and Biotherapy, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Ning Zhang
- National Joint Engineering Research Center of Biodiagnostics and Biotherapy, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Wenhua Zhu
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Xi'an, 710061, China
- Institute of Molecular and Translational Medicine (IMTM), and Department of Biochemistry and Molecular Biology, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Liesu Meng
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Xi'an, 710061, China
- Institute of Molecular and Translational Medicine (IMTM), and Department of Biochemistry and Molecular Biology, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Yanmin Zhang
- National Regional Children's Medical Center (Northwest), Key Laboratory of Precision Medicine to Pediatric Diseases of Shaanxi Province, Xi'an Key Laboratory of Children's Health and Diseases, Shaanxi Institute for Pediatric Diseases, Xi'an Children's Hospital, Affiliated Children's Hospital of Xi'an Jiaotong University, Xi'an, 710003, China
| | - Shemin Lu
- National Regional Children's Medical Center (Northwest), Key Laboratory of Precision Medicine to Pediatric Diseases of Shaanxi Province, Xi'an Key Laboratory of Children's Health and Diseases, Shaanxi Institute for Pediatric Diseases, Xi'an Children's Hospital, Affiliated Children's Hospital of Xi'an Jiaotong University, Xi'an, 710003, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Xi'an, 710061, China
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Fulawka L, Kuzan A. Molecular Diagnostic Tools against SARS-CoV-2 in Poland in 2022. Biomedicines 2022; 10:biomedicines10123259. [PMID: 36552015 PMCID: PMC9775127 DOI: 10.3390/biomedicines10123259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
The most effective way to stop the spread of COVID-19 (coronavirus disease 2019) is to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and isolate those infected as soon as possible. More than 1000 types of molecular and antigen-based immunoassay tests to detect SARS-CoV-2 are now commercially available worldwide. In this review, we present the possibilities of molecular diagnostics available in Poland in 2022. We provide a description of what samples have proven useful to confirm SARS-CoV-2 infection, we describe what methods are used, as well as what safeguards can and should be used to prevent false-negative and false-positive results, and finally we review the products that diagnostic laboratories have to choose from. We also describe diagnostic problems associated with the mutation of the virus.
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Affiliation(s)
- Lukasz Fulawka
- Molecular Pathology Centre Cellgen, 50-353 Wroclaw, Poland
| | - Aleksandra Kuzan
- Department of Biochemistry and Immunochemistry, Wroclaw Medical University, 50-367 Wroclaw, Poland
- Correspondence: ; Tel.: +48-71-784-1379
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Wolf F, Matthes A, Markwart R, Bleidorn J. Perspectives of physicians and medical assistants on the implementation of NAAT-based point-of-care testing for SARS-CoV-2 in primary care in Germany. ZEITSCHRIFT FUR EVIDENZ, FORTBILDUNG UND QUALITAT IM GESUNDHEITSWESEN 2022; 175:43-49. [PMID: 36372644 PMCID: PMC9648907 DOI: 10.1016/j.zefq.2022.09.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 08/19/2022] [Accepted: 09/09/2022] [Indexed: 11/12/2022]
Abstract
INTRODUCTION Given their high diagnostic accuracy and fast turnaround time, rapid SARS-CoV-2 tests based on nucleic acid amplification technologies (NAAT) have great potential to expand access to testing and decrease delays in diagnosis of COVID-19. OBJECTIVES The aim of this study was to investigate feasibility, acceptance, organizational consequences and other implementation aspects of the use of a NAAT-based SARS-CoV-2 rapid test (ID NOW™ COVID-19, Abbott Diagnostics) for symptomatic primary care patients with a suspected SARS-CoV-2 infection. METHODS Cross-sectional survey among primary care physicians and medical assistants from Thuringia (Germany) during the third wave of the COVID-19 pandemic in March and April 2021. The health care providers surveyed had previously used the NAAT-based SARS-CoV-2 rapid test as part of a pilot study. RESULTS Eleven physicians (ten general practitioners and one paediatrician) and 22 medical assistants from Thuringia (Germany) participated in the written survey. Four physicians were additionally interviewed. The majority of the surveyed health care providers rated user-friendliness, integration into practice routine, impact on communication with patients and technical reliability of the NAAT-based SARS-CoV-2 rapid test as (very) positive. Greater workload and the costs for measuring devices were identified as disadvantages compared to PCR laboratory tests. Four out of ten physicians rated the lower sample turnover as unfavourable. CONCLUSION Our survey shows that NAAT-based point-of-care SARS-CoV-2 testing gained widespread acceptance among physicians and medical assistants, positively influences workflows, can improve patient communication and could therefore be successfully implemented into routine primary care.
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Affiliation(s)
- Florian Wolf
- University Hospital Jena, Institute of General Practice and Family Medicine, Friedrich Schiller University Jena, Jena, Germany,Corresponding author. Dr. med. Florian Wolf, MBA. Institute of General Practice and Family Medicine, Jena University Hospital, Bachstraße 18, 07743 Jena, Germany
| | - Anni Matthes
- University Hospital Jena, Institute of General Practice and Family Medicine, Friedrich Schiller University Jena, Jena, Germany,InfectoGnostics Research Campus Jena, Jena, Germany
| | - Robby Markwart
- University Hospital Jena, Institute of General Practice and Family Medicine, Friedrich Schiller University Jena, Jena, Germany,InfectoGnostics Research Campus Jena, Jena, Germany
| | - Jutta Bleidorn
- University Hospital Jena, Institute of General Practice and Family Medicine, Friedrich Schiller University Jena, Jena, Germany
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9
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Identification of mutations in SARS-CoV-2 PCR primer regions. Sci Rep 2022; 12:18651. [PMID: 36333366 PMCID: PMC9636223 DOI: 10.1038/s41598-022-21953-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
Abstract
Due to the constantly increasing number of mutations in the SARS-CoV-2 genome, concerns have emerged over the possibility of decreased diagnostic accuracy of reverse transcription-polymerase chain reaction (RT-PCR), the gold standard diagnostic test for SARS-CoV-2. We propose an analysis pipeline to discover genomic variations overlapping the target regions of commonly used PCR primer sets. We provide the list of these mutations in a publicly available format based on a dataset of more than 1.2 million SARS-CoV-2 samples. Our approach distinguishes among mutations possibly having a damaging impact on PCR efficiency and ones anticipated to be neutral in this sense. Samples are categorized as "prone to misclassification" vs. "likely to be correctly detected" by a given PCR primer set based on the estimated effect of mutations present. Samples susceptible to misclassification are generally present at a daily rate of 2% or lower, although particular primer sets seem to have compromised performance when detecting Omicron samples. As different variant strains may temporarily gain dominance in the worldwide SARS-CoV-2 viral population, the efficiency of a particular PCR primer set may change over time, therefore constant monitoring of variations in primer target regions is highly recommended.
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Label-free and portable field-effect sensor for monitoring RT-LAMP products to detect SARS-CoV-2 in wastewater. Talanta 2022. [PMCID: PMC9637047 DOI: 10.1016/j.talanta.2022.124060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The COVID-19 pandemic caused by the coronavirus SARS-CoV-2 has proven the need for developing reliable and affordable technologies to detect pathogens. Particularly, the detecting the genome in wastewater could be an indicator of the transmission rate to alert on new outbreaks. However, wastewater-based epidemiology remains a technological challenge to develop affordable technologies for sensing pathogens. In this work, we introduce a label-free and portable field-effect transistor (FET)-based sensor to detect N and ORF1ab genes of the SARS-CoV-2 genome. Our sensor integrates the reverse transcription loop-mediated isothermal amplification (RT-LAMP) reaction as a cost-effective molecular detection exhibiting high specificity. The detection relies upon pH changes, due to the RT-LAMP reaction products, which are detected through a simple, but effective, extended-gate FET sensor (EGFET). We evaluate the proposed device by measuring real wastewater samples to detect the presence of SARS-CoV-2 genome, achieving a limit of detection of 0.31 × 10−3 ng/μL for end-point measurement. Moreover, we find the ability of the sensor to perform real-time-like analysis, showing that the RT-LAMP reaction provides a good response after 15 min for concentrations as low as 0.37 ng/μL. Hence, we show that our EGFET sensor offers a powerful tool to detect the presence of the SARS-CoV-2 genome with a naked-eye method, in a straightforward way than the conventional molecular methods for wastewater analysis.
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11
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Ahmad A, Fawaz MAM, Aisha A. A comparative overview of SARS-CoV-2 and its variants of concern. LE INFEZIONI IN MEDICINA 2022; 30:328-343. [PMID: 36148164 PMCID: PMC9448317 DOI: 10.53854/liim-3003-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 07/05/2022] [Indexed: 06/16/2023]
Abstract
In December 2019, the severe acute respiratory syndrome 2 (SARS-CoV-2) coronavirus outbreak began in Wuhan, China, and quickly spread to practically every corner of the globe, killing millions of people. SARS-CoV-2 produced numerous variants, five of which have been identified as variants of concern (VOC) by the World Health Organization (WHO) (Alpha, Beta, Gamma, Delta, and Omicron). We conducted a comparative epidemiological analysis of SARS-CoV-2 and its VOC in this paper. We compared the effects of various spike (S) protein mutations in SARS-CoV-2 and its VOC on transmissibility, illness severity, hospitalization risk, fatality rate, immunological evasion, and vaccine efficacy in this review. We also looked into the clinical characteristics of patients infected with SARS-CoV-2 and its VOC.
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Affiliation(s)
- Aqeel Ahmad
- Department of Medical Biochemistry, College of Medicine, Shaqra University, Shaqra, Saudi Arabia
| | - Mohammed Ali Mullah Fawaz
- Department of Microbiology, Aware Medical Education and Research Institute (Aware Group), Shantivanam, Hyderabad, India
| | - Arafeen Aisha
- Department of Pathology, College of Medicine, Majmaah University, Majmaah, Saudi Arabia
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12
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Urata R, Ikeda K, Yamazaki E, Ueno D, Katayama A, Shin-Ya M, Ohgitani E, Mazda O, Matoba S. Senescent endothelial cells are predisposed to SARS-CoV-2 infection and subsequent endothelial dysfunction. Sci Rep 2022; 12:11855. [PMID: 35879338 PMCID: PMC9314328 DOI: 10.1038/s41598-022-15976-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 07/01/2022] [Indexed: 12/11/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains to spread worldwide. COVID-19 is characterized by the striking high mortality in elderly; however, its mechanistic insights remain unclear. Systemic thrombosis has been highlighted in the pathogenesis of COVID-19, and lung microangiopathy in association with endothelial cells (ECs) injury has been reported by post-mortem analysis of the lungs. Here, we experimentally investigated the SARS-CoV-2 infection in cultured human ECs, and performed a comparative analysis for post-infection molecular events using early passage and replicative senescent ECs. We found that; (1) SARS-CoV-2 infects ECs but does not replicate and disappears in 72 hours without causing severe cell damage, (2) Senescent ECs are highly susceptible to SARS-CoV-2 infection, (3) SARS-CoV-2 infection alters various genes expression, which could cause EC dysfunctions, (4) More genes expression is affected in senescent ECs by SARS-CoV-2 infection than in early passage ECs, which might causes further exacerbated dysfunction in senescent ECs. These data suggest that sustained EC dysfunctions due to SARS-CoV-2 infection may contribute to the microangiopathy in the lungs, leading to deteriorated inflammation and thrombosis in COVID-19. Our data also suggest a possible causative role of EC senescence in the aggravated disease in elder COVID-19 patients.
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Affiliation(s)
- Ryota Urata
- Department of Cardiology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Koji Ikeda
- Department of Cardiology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan. .,Department of Epidemiology for Longevity and Regional Health, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan.
| | - Ekura Yamazaki
- Department of Cardiology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Daisuke Ueno
- Department of Cardiology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Akiko Katayama
- Department of Cardiology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Masaharu Shin-Ya
- Department of Immunology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Eriko Ohgitani
- Department of Immunology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Osam Mazda
- Department of Immunology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
| | - Satoaki Matoba
- Department of Cardiology, Kyoto Prefectural University of Medicine, 465 Kajii, Kawaramachi-Hirokoji, Kamigyo, Kyoto, 602-8566, Japan
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13
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Kung YA, Lee KM, Chiang HJ, Huang SY, Wu CJ, Shih SR. Molecular Virology of SARS-CoV-2 and Related Coronaviruses. Microbiol Mol Biol Rev 2022; 86:e0002621. [PMID: 35343760 PMCID: PMC9199417 DOI: 10.1128/mmbr.00026-21] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The global COVID-19 pandemic continues to threaten the lives of hundreds of millions of people, with a severe negative impact on the global economy. Although several COVID-19 vaccines are currently being administered, none of them is 100% effective. Moreover, SARS-CoV-2 variants remain an important worldwide public health issue. Hence, the accelerated development of efficacious antiviral agents is urgently needed. Coronavirus depends on various host cell factors for replication. An ongoing research objective is the identification of host factors that could be exploited as targets for drugs and compounds effective against SARS-CoV-2. In the present review, we discuss the molecular mechanisms of SARS-CoV-2 and related coronaviruses, focusing on the host factors or pathways involved in SARS-CoV-2 replication that have been identified by genome-wide CRISPR screening.
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Affiliation(s)
- Yu-An Kung
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Huan-Jung Chiang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Sheng-Yu Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chung-Jung Wu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
- Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
- Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
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14
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Marshall JS, Turiello R, Cunha LL, Frazier EV, Hickey J, Chapman J, Poulter MD, Fehling HL, Landers JP. Rapid SARS-CoV-2 Virus Enrichment and RNA Extraction for Efficient Diagnostic Screening of Pooled Nasopharyngeal or Saliva Samples for Dilutions Up to 1:100. Diagnostics (Basel) 2022; 12:1398. [PMID: 35741208 PMCID: PMC9221879 DOI: 10.3390/diagnostics12061398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/30/2022] [Accepted: 06/04/2022] [Indexed: 02/04/2023] Open
Abstract
As COVID-19 transmission control measures are gradually being lifted, a sensitive and rapid diagnostic method for large-scale screening could prove essential for monitoring population infection rates. However, many rapid workflows for SARS-CoV-2 detection and diagnosis are not amenable to the analysis of large-volume samples. Previously, our group demonstrated a technique for SARS-CoV-2 nanoparticle-facilitated enrichment and enzymatic lysis from clinical samples in under 10 min. Here, this sample preparation strategy was applied to pooled samples originating from nasopharyngeal (NP) swabs eluted in viral transport medium (VTM) and saliva samples diluted up to 1:100. This preparation method was coupled with conventional RT-PCR on gold-standard instrumentation for proof-of-concept. Additionally, real-time PCR analysis was conducted using an in-house, ultra-rapid real-time microfluidic instrument paired with an experimentally optimized rapid protocol. Following pooling and extraction from clinical samples, average cycle threshold (CT) values from resultant eluates generally increased as the pooling dilution factor increased; further, results from a double-blind study demonstrated 100% concordance with clinical values. In addition, preliminary data obtained from amplification of eluates prepared by this technique and analyzed using our portable, ultra-rapid real-time microfluidic PCR amplification instrument showed progress toward a streamlined method for rapid SARS-CoV-2 analysis from pooled samples.
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Affiliation(s)
- Jamila S. Marshall
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904, USA; (R.T.); (L.L.C.); (E.V.F.); (J.P.L.)
| | - Rachelle Turiello
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904, USA; (R.T.); (L.L.C.); (E.V.F.); (J.P.L.)
| | - Larissa L. Cunha
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904, USA; (R.T.); (L.L.C.); (E.V.F.); (J.P.L.)
| | - Ella V. Frazier
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904, USA; (R.T.); (L.L.C.); (E.V.F.); (J.P.L.)
| | - Jeff Hickey
- MicroGEM International PLC, Charlottesville, VA 22903, USA; (J.H.); (J.C.)
| | - Jeff Chapman
- MicroGEM International PLC, Charlottesville, VA 22903, USA; (J.H.); (J.C.)
| | - Melinda D. Poulter
- Department of Pathology, University of Virginia, Charlottesville, VA 22903, USA;
| | | | - James P. Landers
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904, USA; (R.T.); (L.L.C.); (E.V.F.); (J.P.L.)
- MicroGEM International PLC, Charlottesville, VA 22903, USA; (J.H.); (J.C.)
- Department of Pathology, University of Virginia, Charlottesville, VA 22903, USA;
- Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22904, USA
- Department of Clinical Microbiology, University of Virginia, Charlottesville, VA 22903, USA
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15
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Ramírez-Chavarría RG, Castillo-Villanueva E, Alvarez-Serna BE, Carrillo-Reyes J, Ramírez-Zamora RM, Buitrón G, Alvarez-Icaza L. Loop-mediated isothermal amplification-based electrochemical sensor for detecting SARS-CoV-2 in wastewater samples. JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING 2022; 10:107488. [PMID: 35251932 PMCID: PMC8883760 DOI: 10.1016/j.jece.2022.107488] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/07/2022] [Accepted: 02/26/2022] [Indexed: 05/10/2023]
Abstract
The current pandemic COVID-19 caused by the coronavirus SARS-CoV-2, has generated different economic, social and public health problems. Moreover, wastewater-based epidemiology could be a predictor of the virus rate of spread to alert on new outbreaks. To assist in epidemiological surveillance, this work introduces a simple, low-cost and affordable electrochemical sensor to specifically detect N and ORF1ab genes of the SARS-CoV-2 genome. The proposed sensor works based on screen-printed electrodes acting as a disposable test strip, where the reverse transcription loop-mediated isothermal amplification (RT-LAMP) reaction takes place. Electrochemical detection relies upon methylene blue as a redox intercalator probe, to provide a diffusion-controlled current encoding the presence and concentration of RT-LAMP products, namely amplicons or double-stranded DNA. We test the performance of the sensor by testing real wastewater samples using end-point and time course measurements. Results show the ability of the electrochemical test strip to specifically detect and quantify RT-LAMP amplicons below to ~ 2.5 × 10-6 ng/μL exhibiting high reproducibility. In this sense, our RT-LAMP electrochemical sensor is an attractive, efficient and powerful tool for rapid and reliable wastewater-based epidemiology studies.
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Affiliation(s)
| | - Elizabeth Castillo-Villanueva
- Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, México
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, México
| | - Bryan E Alvarez-Serna
- Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, México
| | - Julián Carrillo-Reyes
- Laboratorio de Investigación en Procesos Avanzados de Tratamiento de Aguas, Unidad Académica Juriquilla, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Querétaro 76230, México
| | | | - Germán Buitrón
- Laboratorio de Investigación en Procesos Avanzados de Tratamiento de Aguas, Unidad Académica Juriquilla, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Querétaro 76230, México
| | - Luis Alvarez-Icaza
- Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, México
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16
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Zhang Y, Garner R, Salehi S, Rocca ML, Duncan D. Molecular and antigen tests, and sample types for diagnosis of COVID-19: a review. Future Virol 2022. [PMID: 35783674 PMCID: PMC9248776 DOI: 10.2217/fvl-2021-0256] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 06/14/2022] [Indexed: 11/21/2022]
Abstract
Laboratory tests seeking to improve detection of COVID-19 have been widely developed by laboratories and commercial companies. This review provides an overview of molecular and antigen tests, presents the sensitivity and specificity for 329 assays that have received US FDA Emergency Use Authorization and evaluates six sample collection methods – nasal, nasopharyngeal, oropharyngeal swabs, saliva, blood and stool. Molecular testing is preferred for diagnosis of COVID-19, but negative results do not always rule out the presence of infection, especially when clinical suspicion is high. Sensitivity and specificity ranged from 88.1 to 100% and 88 to 100%, respectively. Antigen tests may be more easy to use and rapid. However, they have reported a wide range of detection sensitivities from 16.7 to 85%, which may potentially yield many false-negative results.
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Affiliation(s)
- Yujia Zhang
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA
| | - Rachael Garner
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA
| | - Sana Salehi
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA
| | | | - Dominique Duncan
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA
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17
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Negrón DA, Kang J, Mitchell S, Holland MY, Wist S, Voss J, Brinkac L, Jennings K, Guertin S, Goodwin BG, Sozhamannan S. Impact of SARS-CoV-2 Mutations on PCR Assay Sequence Alignment. Front Public Health 2022; 10:889973. [PMID: 35570946 PMCID: PMC9096222 DOI: 10.3389/fpubh.2022.889973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/05/2022] [Indexed: 11/28/2022] Open
Abstract
Real-time reverse transcription polymerase chain reaction (RT-PCR) assays are the most widely used molecular tests for the detection of SARS-CoV-2 and diagnosis of COVID-19 in clinical samples. PCR assays target unique genomic RNA regions to identify SARS-CoV-2 with high sensitivity and specificity. In general, assay development incorporates the whole genome sequences available at design time to be inclusive of all target species and exclusive of near neighbors. However, rapid accumulation of mutations in viral genomes during sustained growth in the population can result in signature erosion and assay failures, creating situational blind spots during a pandemic. In this study, we analyzed the signatures of 43 PCR assays distributed across the genome against over 1.6 million SARS-CoV-2 sequences. We present evidence of significant signature erosion emerging in just two assays due to mutations, while adequate sequence identity was preserved in the other 41 assays. Failure of more than one assay against a given variant sequence was rare and mostly occurred in the two assays noted to have signature erosion. Assays tended to be designed in regions with statistically higher mutations rates. in silico analyses over time can provide insights into mutation trends and alert users to the emergence of novel variants that are present in the population at low proportions before they become dominant. Such routine assessment can also potentially highlight false negatives in test samples that may be indicative of mutations having functional consequences in the form of vaccine and therapeutic failures. This study highlights the importance of whole genome sequencing and expanded real-time monitoring of diagnostic PCR assays during a pandemic.
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Affiliation(s)
| | - June Kang
- Noblis, Inc., Reston, VA, United States
| | | | | | | | - Jameson Voss
- Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND), Joint Project Lead for CBRND Enabling Biotechnologies (JPL CBRND EB), Frederick, MD, United States
| | | | | | | | - Bruce G. Goodwin
- Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND), Joint Project Lead for CBRND Enabling Biotechnologies (JPL CBRND EB), Frederick, MD, United States
| | - Shanmuga Sozhamannan
- Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND), Joint Project Lead for CBRND Enabling Biotechnologies (JPL CBRND EB), Frederick, MD, United States
- Logistics Management Institute, Tysons, VA, United States
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18
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Comparative Evaluation of Six SARS-CoV-2 Real-Time RT-PCR Diagnostic Approaches Shows Substantial Genomic Variant–Dependent Intra- and Inter-Test Variability, Poor Interchangeability of Cycle Threshold and Complementary Turn-Around Times. Pathogens 2022; 11:pathogens11040462. [PMID: 35456137 PMCID: PMC9029830 DOI: 10.3390/pathogens11040462] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 03/30/2022] [Accepted: 04/10/2022] [Indexed: 12/23/2022] Open
Abstract
Several professional societies advise against using real-time Reverse-Transcription PCR (rtRT-PCR) cycle threshold (Ct) values to guide clinical decisions. We comparatively assessed the variability of Ct values generated by six diagnostic approaches by testing serial dilutions of well-characterized isolates of 10 clinically most relevant SARS-CoV-2 genomic variants: Alpha, Beta, Gamma, Delta, Eta, Iota, Omicron, A.27, B.1.258.17, and B.1 with D614G mutation. Comparison of three fully automated rtRT-PCR analyzers and a reference manual rtRT-PCR assay using RNA isolated with three different nucleic acid isolation instruments showed substantial inter-variant intra-test and intra-variant inter-test variability. Ct value differences were dependent on both the rtRT-PCR platform and SARS-CoV-2 genomic variant. Differences ranging from 2.0 to 8.4 Ct values were observed when testing equal concentrations of different SARS-CoV-2 variants. Results confirm that Ct values are an unreliable surrogate for viral load and should not be used as a proxy of infectivity and transmissibility, especially when different rtRT-PCR assays are used in parallel and multiple SARS-CoV-2 variants are circulating. A detailed turn-around time (TAT) comparative assessment showed substantially different TATs, but parallel use of different diagnostic approaches was beneficial and complementary, allowing release of results for more than 81% of non-priority samples within 8 h after admission.
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19
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Liao YC, Chen FJ, Chuang MC, Wu HC, Ji WC, Yu GY, Huang TS. High-Integrity Sequencing of Spike Gene for SARS-CoV-2 Variant Determination. Int J Mol Sci 2022; 23:3257. [PMID: 35328676 PMCID: PMC8954144 DOI: 10.3390/ijms23063257] [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: 02/24/2022] [Revised: 03/15/2022] [Accepted: 03/15/2022] [Indexed: 12/10/2022] Open
Abstract
For tiling of the SARS-CoV-2 genome, the ARTIC Network provided a V4 protocol using 99 pairs of primers for amplicon production and is currently the widely used amplicon-based approach. However, this technique has regions of low sequence coverage and is labour-, time-, and cost-intensive. Moreover, it requires 14 pairs of primers in two separate PCRs to obtain spike gene sequences. To overcome these disadvantages, we proposed a single PCR to efficiently detect spike gene mutations. We proposed a bioinformatic protocol that can process FASTQ reads into spike gene consensus sequences to accurately call spike protein variants from sequenced samples or to fairly express the cases of missing amplicons. We evaluated the in silico detection rate of primer sets that yield amplicon sizes of 400, 1200, and 2500 bp for spike gene sequencing of SARS-CoV-2 to be 59.49, 76.19, and 92.20%, respectively. The in silico detection rate of our proposed single PCR primers was 97.07%. We demonstrated the robustness of our analytical protocol against 3000 Oxford Nanopore sequencing runs of distinct datasets, thus ensuring high-integrity sequencing of spike genes for variant SARS-CoV-2 determination. Our protocol works well with the data yielded from versatile primer designs, making it easy to determine spike protein variants.
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Affiliation(s)
- Yu-Chieh Liao
- Institute of Population Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County 35053, Taiwan
| | - Feng-Jui Chen
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County 35053, Taiwan; (F.-J.C.); (H.-C.W.); (G.-Y.Y.)
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Min-Chieh Chuang
- Department of Chemistry, Tunghai University, Taichung 40704, Taiwan; (M.-C.C.); (W.-C.J.)
| | - Han-Chieh Wu
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County 35053, Taiwan; (F.-J.C.); (H.-C.W.); (G.-Y.Y.)
| | - Wan-Chen Ji
- Department of Chemistry, Tunghai University, Taichung 40704, Taiwan; (M.-C.C.); (W.-C.J.)
| | - Guann-Yi Yu
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, No. 35, Keyan Road, Zhunan Town, Miaoli County 35053, Taiwan; (F.-J.C.); (H.-C.W.); (G.-Y.Y.)
| | - Tsi-Shu Huang
- Division of Microbiology, Department of Pathology and Laboratory Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
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20
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CovDif, a Tool to Visualize the Conservation between SARS-CoV-2 Genomes and Variants. Viruses 2022; 14:v14030561. [PMID: 35336968 PMCID: PMC8955889 DOI: 10.3390/v14030561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 11/17/2022] Open
Abstract
The spread of the newly emerged severe acute respiratory syndrome (SARS-CoV-2) virus has led to more than 430 million confirmed cases, including more than 5.9 million deaths, reported worldwide as of 24 February 2022. Conservation of viral genomes is important for pathogen identification and diagnosis, therapeutics development and epidemiological surveillance to detect the emergence of new viral variants. An intense surveillance of virus variants has led to the identification of Variants of Interest and Variants of Concern. Although these classifications dynamically change as the pandemic evolves, they have been useful to guide public health efforts on containment and mitigation. In this work, we present CovDif, a tool to detect conserved regions between groups of viral genomes. CovDif creates a conservation landscape for each group of genomes of interest and a differential landscape able to highlight differences in the conservation level between groups. CovDif is able to identify loss in conservation due to point mutations, deletions, inversions and chromosomal rearrangements. In this work, we applied CovDif to SARS-CoV-2 clades (G, GH, GR, GV, L, O, S and G) and variants. We identified all regions for any defining SNPs. We also applied CovDif to a group of population genomes and evaluated the conservation of primer regions for current SARS-CoV-2 detection and diagnostic protocols. We found that some of these protocols should be applied with caution as few of the primer-template regions are no longer conserved in some SARS-CoV-2 variants. We conclude that CovDif is a tool that could be widely applied to study the conservation of any group of viral genomes as long as whole genomes exist.
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21
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Sayan M, Arikan A, Isbilen M. Variant analysis of SARS-CoV-2 strains with phylogenetic analysis and the Coronavirus Antiviral and Resistance Database. J Comp Eff Res 2022; 11:157-167. [PMID: 35014556 PMCID: PMC8751628 DOI: 10.2217/cer-2021-0208] [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: 08/31/2021] [Accepted: 11/12/2021] [Indexed: 01/16/2023] Open
Abstract
Aims: This study determined SARS-CoV-2 variations by phylogenetic and virtual phenotyping analyses. Materials & methods: Strains isolated from 143 COVID-19 cases in Turkey in April 2021 were assessed. Illumina NexteraXT library preparation kits were processed for next-generation ]sequencing. Phylogenetic (neighbor-joining method) and virtual phenotyping analyses (Coronavirus Antiviral and Resistance Database [CoV-RDB] by Stanford University) were used for variant analysis. Results: B.1.1.7-1/2 (n = 103, 72%), B.1.351 (n = 5, 3%) and B.1.525 (n = 1, 1%) were identified among 109 SARS-CoV-2 variations by phylogenetic analysis and B.1.1.7 (n = 95, 66%), B.1.351 (n = 5, 4%), B.1.617 (n = 4, 3%), B.1.525 (n = 2, 1.4%), B.1.526-1 (n = 1, 0.6%) and missense mutations (n = 15, 10%) were reported by CoV-RDB. The two methods were 85% compatible and B.1.1.7 (alpha) was the most frequent SARS-CoV-2 variation in Turkey in April 2021. Conclusion: The Stanford CoV-RDB analysis method appears useful for SARS-CoV-2 lineage surveillance.
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Affiliation(s)
- Murat Sayan
- Kocaeli University, Research & Education Hospital, PCR Unit, 41380, Kocaeli, Turkey
- Near East University, DESAM Research Institute, 99138, Nicosia, Northern Cyprus
| | - Ayse Arikan
- Near East University, DESAM Research Institute, 99138, Nicosia, Northern Cyprus
- Near East University, Department of Medical Microbiology & Clinical Microbiology, 99138, Nicosia, Northern Cyprus
| | - Murat Isbilen
- Acibadem Mehmet Ali Aydinlar University, Graduate School of Health Sciences, Department of Biostatistics & Bioinformatics, 34752, Istanbul, Turkey
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Surveillance Web System and Mouthwash-Saliva qPCR for Labor Ambulatory SARS-CoV-2 Detection and Prevention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031271. [PMID: 35162294 PMCID: PMC8835463 DOI: 10.3390/ijerph19031271] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 12/12/2022]
Abstract
This study provides a safe and low-cost in-house protocol for RT-qPCR-based detection of SARS-CoV-2 using mouthwash-saliva self-collected specimens to achieve clinical and epidemiological surveillance in a real-time web environment applied to ambulatory populations. The in-house protocol comprises a mouthwash-saliva self-collected specimen, heat virus inactivation, and primers to target virus N-gene region and the human RPP30-gene. Aligning with 209 SARS-CoV-2 sequences confirmed specificity including the Alpha variant from the UK. Development, validation, and statistical comparison with official nasopharyngeal swabbing RT-qPCR test were conducted with 115 specimens of ambulatory volunteers. A web-mobile application platform was developed to integrate a real-time epidemiological and clinical core baseline database with mouthwash-saliva RT-qPCR testing. Nine built-in algorithms were generated for decision-making on testing, confining, monitoring, and self-reports to family, social, and work environments. Epidemiological and clinical follow-up and SARS-CoV-2 testing generated a database of 37,351 entries allowing individual decision-making for prevention. Mouthwash-saliva had higher sensitivity than nasopharyngeal swabbing in detecting asymptomatic and mild symptomatic cases with 720 viral copy number (VCN)/mL as the detection limit (Ct = 37.6). Cycling threshold and viral loading were marginally different (p = 0.057) between asymptomatic (35 Ct ± 2.8; 21,767.7 VCN/mL, range 720-77,278) and symptomatic (31.3 Ct ± 4.5; 747,294.3 VCN/mL, range 1433.6-3.08 × 106). We provided proof-of-concept evidence of effective surveillance to target asymptomatic and moderate symptomatic ambulatory individuals based on integrating a bio-safety level II laboratory, self-collected, low-risk, low-cost detection protocol, and a real-time digital monitoring system. Mouthwash-saliva was effective for SARS-CoV-2 sampling for the first time at the community level.
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23
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Sabalza M, Heckler I, Elhage A, Venkataraman I, Henry B. COVID-19: Testing Landscape Post-Infection, -Vaccination, and Future Perspectives. Viral Immunol 2022; 35:5-14. [PMID: 35020523 DOI: 10.1089/vim.2021.0121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
On March 11, 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19) outbreak a global pandemic. Although molecular testing remains the gold standard for COVID-19 diagnosis, serological testing enables the evaluation of the immune response to severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection and vaccination, and can be used to assess community viral spread. This review summarizes and analyzes the current landscape of SARS-CoV-2 testing in the United States and includes guidance on both when and why it is important to use direct pathogen detection and/or serological testing. The usefulness of monitoring humoral and cellular immune responses in infected and vaccinated patients is also addressed. Finally, this review considers current challenges, future perspectives for SARS-CoV-2 testing, and how diagnostics are being adapted as the virus evolves.
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Affiliation(s)
| | | | - Aya Elhage
- EUROIMMUN US, Mountain Lakes, New Jersey, USA
| | | | - Brandon Henry
- Clinical Laboratory, Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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24
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Lim HJ, Jung HS, Park MY, Baek YH, Kannappan B, Park JY, Yang JH, Seol JH, Lee MW, Jung SK, Lee SH, Park JE, Yang YJ. Evaluation of Three Automated Extraction Systems for the Detection of SARS-CoV-2 from Clinical Respiratory Specimens. Life (Basel) 2022; 12:life12010068. [PMID: 35054463 PMCID: PMC8777774 DOI: 10.3390/life12010068] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/27/2021] [Accepted: 01/02/2022] [Indexed: 12/23/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus (SARS-CoV-2) is highly contagious and causes coronavirus disease 2019 (COVID-19). Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is the most accurate and reliable molecular assay to detect active SARS-CoV-2 infection. However, a rapid increase in test subjects has created a global bottleneck in testing capacity. Given that efficient nucleic acid extraction greatly affects reliable and accurate testing results, we compared three extraction platforms: MagNA Pure 96 DNA and Viral NA Small Volume kit on MagNA Pure 96 (Roche, Basel, Switzerland), careGENETM Viral/Pathogen HiFi Nucleic Acid Isolation kit (WELLS BIO Inc., Seoul, Korea) on KingFisher Flex (Thermo Fisher Scientific, Rocklin, CA, USA), and SGRespiTM Pure kit (Seegene Inc., Seoul, Korea) on Maelstrom 9600 (Taiwan Advanced Nanotech Inc., Taoyuan, Taiwan). RNA was extracted from 245 residual respiratory specimens from the different types of samples (i.e., NPS, sputum, and saliva) using three different kits. The 95% limits of detection of median tissue culture infectious dose per milliliter (TCID50/mL) for the MagNA Pure 96, KingFisher Flex, and Maelstrom 9600 were 0.37-3.15 × 101, 0.41-3.62 × 101, and 0.33-1.98 × 101, respectively. The KingFisher Flex platform exhibited 99.2% sensitivity and 100% specificity, whereas Maelstrom 9600 exhibited 98.3-100% sensitivity and 100% specificity. Bland-Altman analysis revealed a 95.2% concordance between MagNA Pure 96 and KingFisher Flex and 95.4% concordance between MagNA Pure 96 and Maelstrom 9600, indicating that all three platforms provided statistically reliable results. This suggests that two modifying platforms, KingFisher Flex and Maelstrom 9600, are accurate and scalable extraction platforms for large-scale SARS-CoV-2 clinical detection and could help the management of COVID-19 patients.
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Affiliation(s)
- Ho-Jae Lim
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
- BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Sciences, Chosun University, Gwangju 61452, Korea;
| | - Hye-Soo Jung
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
| | - Min-Young Park
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
| | - Young-Hyun Baek
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
| | - Balaji Kannappan
- BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Sciences, Chosun University, Gwangju 61452, Korea;
| | - Jin-Young Park
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA;
| | - Jae-Hyun Yang
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA;
| | - Ja-Hwan Seol
- Department of Molecular Medicine, Institute of Biotechnology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA;
| | - Min-Woo Lee
- Department of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science (SIMS), Soonchunhyang University, Cheonan-si 31151, Korea;
| | - Sun-Kyung Jung
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
| | - Sun-Hwa Lee
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
| | - Jung-Eun Park
- BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Sciences, Chosun University, Gwangju 61452, Korea;
- Correspondence: (J.-E.P.); (Y.-J.Y.)
| | - Yong-Jin Yang
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Korea; (H.-J.L.); (H.-S.J.); (M.-Y.P.); (Y.-H.B.); (S.-K.J.); (S.-H.L.)
- Correspondence: (J.-E.P.); (Y.-J.Y.)
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25
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Assessment of potential SARS-CoV-2 virus integration into human genome reveals no significant impact on RT-qPCR COVID-19 testing. Proc Natl Acad Sci U S A 2021; 118:2113065118. [PMID: 34702741 PMCID: PMC8612208 DOI: 10.1073/pnas.2113065118] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Abstract
Since the COVID-19 pandemic first began in December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has continuously evolved with many variants emerging across the world. These variants are categorized as the variant of interest (VOI), variant of concern (VOC), and variant under monitoring (VUM). As of September 15, 2021, there are four SARS-CoV-2 lineages designated as the VOC (alpha, beta, gamma, and delta variants). VOCs have increased transmissibility compared to the original virus, and have the potential for increasing disease severity. In addition, VOCs exhibit decreased susceptibility to vaccine-induced and infection-induced immune responses, and thus possess the ability to reinfect previously infected and recovered individuals. Given their ability to evade immune responses, VOC are less susceptible to monoclonal antibody treatments. VOCs can also impact the effectiveness of mRNA and adenovirus vector vaccines, although the currently authorized COVID-19 vaccines are still effective in preventing infection and severe disease. Current measures to reduce transmission as well as efforts to monitor and understand the impact of variants should be continued. Here, we review the molecular features, epidemiology, impact on transmissibility, disease severity, and vaccine effectiveness of VOCs.
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Affiliation(s)
- Jun Yong Choi
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- AIDS Research Institute, Yonsei University College of Medicine, Seoul, Korea.
| | - Davey M Smith
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
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27
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Saied EM, El-Maradny YA, Osman AA, Darwish AMG, Abo Nahas HH, Niedbała G, Piekutowska M, Abdel-Rahman MA, Balbool BA, Abdel-Azeem AM. A Comprehensive Review about the Molecular Structure of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): Insights into Natural Products against COVID-19. Pharmaceutics 2021; 13:1759. [PMID: 34834174 PMCID: PMC8624722 DOI: 10.3390/pharmaceutics13111759] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/06/2021] [Accepted: 10/11/2021] [Indexed: 12/15/2022] Open
Abstract
In 2019, the world suffered from the emergence of COVID-19 infection, one of the most difficult pandemics in recent history. Millions of confirmed deaths from this pandemic have been reported worldwide. This disaster was caused by SARS-CoV-2, which is the last discovered member of the family of Coronaviridae. Various studies have shown that natural compounds have effective antiviral properties against coronaviruses by inhibiting multiple viral targets, including spike proteins and viral enzymes. This review presents the classification and a detailed explanation of the SARS-CoV-2 molecular characteristics and structure-function relationships. We present all currently available crystal structures of different SARS-CoV-2 proteins and emphasized on the crystal structure of different virus proteins and the binding modes of their ligands. This review also discusses the various therapeutic approaches for COVID-19 treatment and available vaccinations. In addition, we highlight and compare the existing data about natural compounds extracted from algae, fungi, plants, and scorpion venom that were used as antiviral agents against SARS-CoV-2 infection. Moreover, we discuss the repurposing of select approved therapeutic agents that have been used in the treatment of other viruses.
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Affiliation(s)
- Essa M. Saied
- Chemistry Department, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt
- Institute for Chemistry, Humboldt Universität zu Berlin, Brook-Taylor-Str. 2, 12489 Berlin, Germany
| | - Yousra A. El-Maradny
- Microbiology Department, High Institute of Public Health, Alexandria University, Alexandria 21526, Egypt;
| | - Alaa A. Osman
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, New Giza University, Newgiza, km 22 Cairo-Alexandria Desert Road, Cairo 12256, Egypt;
| | - Amira M. G. Darwish
- Food Technology Department, Arid Lands Cultivation Research Institute (ALCRI), City of Scientific Research and Technological Applications (SRTA City), Alexandria 21934, Egypt;
| | - Hebatallah H. Abo Nahas
- Zoology Department, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt; (H.H.A.N.); (M.A.A.-R.)
| | - Gniewko Niedbała
- Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland;
| | - Magdalena Piekutowska
- Department of Geoecology and Geoinformation, Institute of Biology and Earth Sciences, Pomeranian University in Słupsk, Partyzantów 27, 76-200 Słupsk, Poland;
| | - Mohamed A. Abdel-Rahman
- Zoology Department, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt; (H.H.A.N.); (M.A.A.-R.)
| | - Bassem A. Balbool
- Faculty of Biotechnology, October University for Modern Sciences and Arts, Giza 12585, Egypt;
| | - Ahmed M. Abdel-Azeem
- Botany and Microbiology Department, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt
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28
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Kogoj R, Kmetič P, Oštrbenk Valenčak A, Fujs Komloš K, Seme K, Sagadin M, Korva M, Poljak M. Real-Life Head-to-Head Comparison of Performance of Two High-Throughput Automated Assays for the Detection of SARS-CoV-2 RNA in Nasopharyngeal Swabs: The Alinity m and cobas 6800 SARS-CoV-2 Assays. J Mol Diagn 2021; 23:920-928. [PMID: 34020039 PMCID: PMC8131180 DOI: 10.1016/j.jmoldx.2021.05.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/12/2021] [Accepted: 05/06/2021] [Indexed: 12/23/2022] Open
Abstract
The Alinity m (Abbott Molecular, Des Plaines, IL) automated molecular analyzer allows continuous loading of samples and sample-to-result molecular detection of several microorganisms. The detection of SARS-CoV-2 by the Alinity m was compared with that of the cobas 6800 (Roche Molecular Systems, Branchburg, NJ; standard comparator) in a manufacturer-independent clinical evaluation on 2157 consecutive nasopharyngeal swab samples. Valid initial results on Alinity m and cobas 6800 were obtained from 2129 (98.7%) and 2157 (100%) samples, respectively. The overall percent agreement (95% CI) was 98.3% (2092/2129 [97.6%-98.7%]); positive percent agreement, 100% (961/961 [99.6%-100%]); negative percent agreement, 96.8% (1131/1168 [95.7%-97.7%]); and high κ value, 0.965 (0.954-0.976). There were 37 discordant results on Alinity m and, based on discordant analyses, including previous and/or follow-up PCR results, 22 could be considered analytically true positive with high probability. Due to a lack of additional information and an inability to perform repeated/further testing, the status of the remaining 15 discordant results remained unresolved. The throughput of the two analyzers was compared using testing on 564 samples in parallel across two 8-hour shifts in clinical practice. The turnaround times were compared using processing of 94 routine samples in parallel on each working day for 5 consecutive days. The two analyzers showed similar performance, with certain differences that have potential importance in some laboratory settings.
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Affiliation(s)
- Rok Kogoj
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Petra Kmetič
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Anja Oštrbenk Valenčak
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Kristina Fujs Komloš
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Katja Seme
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Martin Sagadin
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Misa Korva
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia
| | - Mario Poljak
- Faculty of Medicine, Institute of Microbiology and Immunology, University of Ljubljana, Ljubljana, Slovenia.
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29
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Ceci A, Muñoz-Ballester C, Tegge AN, Brown KL, Umans RA, Michel FM, Patel D, Tewari B, Martin J, Alcoreza O, Maynard T, Martinez-Martinez D, Bordwine P, Bissell N, Friedlander MJ, Sontheimer H, Finkielstein CV. Development and implementation of a scalable and versatile test for COVID-19 diagnostics in rural communities. Nat Commun 2021; 12:4400. [PMID: 34285229 PMCID: PMC8292415 DOI: 10.1038/s41467-021-24552-4] [Citation(s) in RCA: 4] [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: 02/18/2021] [Accepted: 06/24/2021] [Indexed: 12/23/2022] Open
Abstract
Rapid and widespread testing of severe acute respiratory coronavirus 2 (SARS-CoV-2) is essential for an effective public health response aimed at containing and mitigating the coronavirus disease 2019 (COVID-19) pandemic. Successful health policy implementation relies on early identification of infected individuals and extensive contact tracing. However, rural communities, where resources for testing are sparse or simply absent, face distinctive challenges to achieving this success. Accordingly, we report the development of an academic, public land grant University laboratory-based detection assay for the identification of SARS-CoV-2 in samples from various clinical specimens that can be readily deployed in areas where access to testing is limited. The test, which is a quantitative reverse transcription polymerase chain reaction (RT-qPCR)-based procedure, was validated on samples provided by the state laboratory and submitted for FDA Emergency Use Authorization. Our test exhibits comparable sensitivity and exceeds specificity and inclusivity values compared to other molecular assays. Additionally, this test can be re-configured to meet supply chain shortages, modified for scale up demands, and is amenable to several clinical specimens. Test development also involved 3D engineering critical supplies and formulating a stable collection media that allowed samples to be transported for hours over a dispersed rural region without the need for a cold-chain. These two elements that were critical when shortages impacted testing and when personnel needed to reach areas that were geographically isolated from the testing center. Overall, using a robust, easy-to-adapt methodology, we show that an academic laboratory can supplement COVID-19 testing needs and help local health departments assess and manage outbreaks. This additional testing capacity is particularly germane for smaller cities and rural regions that would otherwise be unable to meet the testing demand.
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Affiliation(s)
- A Ceci
- Molecular Diagnostics Laboratory, Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, USA
| | - C Muñoz-Ballester
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - A N Tegge
- Department of Statistics, Virginia Tech, Blacksburg, VA, USA
| | - K L Brown
- Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
| | - R A Umans
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - F M Michel
- Department of Geosciences, Virginia Tech, Blacksburg, VA, USA
| | - D Patel
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - B Tewari
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - J Martin
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
- Translational Biology, Medicine, and Health Graduate Program, Virginia Tech, Roanoke, VA, USA
| | - O Alcoreza
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
- Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
- Translational Biology, Medicine, and Health Graduate Program, Virginia Tech, Roanoke, VA, USA
| | - T Maynard
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - D Martinez-Martinez
- MRC London Institute of Medical Sciences, London, UK
- Institute of Clinical Sciences, Imperial College London, London, UK
| | - P Bordwine
- Division of Surveillance and Investigation, Office of Epidemiology, Virginia Department of Health, Christiansburg, USA
| | - N Bissell
- New River Valley Health District, Virginia Department of Health, Christiansburg, USA
| | - M J Friedlander
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - H Sontheimer
- Center for Glial Biology in Health, Disease, and Cancer, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
| | - C V Finkielstein
- Molecular Diagnostics Laboratory, Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, USA.
- Integrated Cellular Responses Laboratory, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
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Khateeb J, Li Y, Zhang H. Emerging SARS-CoV-2 variants of concern and potential intervention approaches. Crit Care 2021; 25:244. [PMID: 34253247 PMCID: PMC8274962 DOI: 10.1186/s13054-021-03662-x] [Citation(s) in RCA: 149] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 06/29/2021] [Indexed: 12/18/2022] Open
Abstract
The major variant of concerns (VOCs) have shared mutations in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins, mostly on the S1 unit and resulted in higher transmissibility rate and affect viral virulence and clinical outcome. The spike protein mutations and other non-structural protein mutations in the VOCs may lead to escape approved vaccinations in certain extend. We will discuss these VOC mutations and discuss the need for combination therapeutic strategies targeting viral cycle and immune host responses.
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Affiliation(s)
- Jasmin Khateeb
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Room 619, LKSKI, 30 Bond Street, Toronto, ON, M5B1W8, Canada
- Department of Internal Medicine D, Rambam Health Care Campus, Haifa, Israel
| | - Yuchong Li
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Room 619, LKSKI, 30 Bond Street, Toronto, ON, M5B1W8, Canada
- The State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Haibo Zhang
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Room 619, LKSKI, 30 Bond Street, Toronto, ON, M5B1W8, Canada.
- The State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
- Departments of Anaesthesia and Physiology, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
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31
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Negara MRM, Krissanti I, Pradini GW. Analysis of SARS-CoV-2 nucleocapsid protein sequence variations in ASEAN countries. MEDICAL JOURNAL OF INDONESIA 2021. [DOI: 10.13181/mji.oa.215304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
BACKGROUND Nucleocapsid (N) protein is one of four structural proteins of SARS-CoV-2 which is known to be more conserved than spike protein and is highly immunogenic. This study aimed to analyze the variation of the SARS-CoV-2 N protein sequences in ASEAN countries, including Indonesia.
METHODS Complete sequences of SARS-CoV-2 N protein from each ASEAN country were obtained from Global Initiative on Sharing All Influenza Data (GISAID), while the reference sequence was obtained from GenBank. All sequences collected from December 2019 to March 2021 were grouped to the clade according to GISAID, and two representative isolates were chosen from each clade for the analysis. The sequences were aligned by MUSCLE, and phylogenetic trees were built using MEGA-X software based on the nucleotide and translated AA sequences.
RESULTS 98 isolates of complete N protein genes from ASEAN countries were analyzed. The nucleotides of all isolates were 97.5% conserved. Of 31 nucleotide changes, 22 led to amino acid (AA) substitutions; thus, the AA sequences were 94.5% conserved. The phylogenetic tree of nucleotide and AA sequences shows similar branches. Nucleotide variations in clade O (C28311T); clade GR (28881–28883 GGG>AAC); and clade GRY (28881–28883 GGG>AAC and C28977T) lead to specific branches corresponding to the clade within both trees.
CONCLUSIONS The N protein sequences of SARS-CoV-2 across ASEAN countries are highly conserved. Most isolates were closely related to the reference sequence originating from China, except the isolates representing clade O, GR, and GRY which formed specific branches in the phylogenetic tree.
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32
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Buchan BW, Yao JD. Severe Acute Respiratory Syndrome Coronavirus 2: The Emergence of Important Genetic Variants and Testing Options for Clinical Laboratories. CLINICAL MICROBIOLOGY NEWSLETTER 2021; 43:89-96. [PMID: 34035555 PMCID: PMC8138692 DOI: 10.1016/j.clinmicnews.2021.05.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Monitoring the spread of emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants relies on rapid genetic testing of the viral genome. The sequencing method commonly called next-generation sequencing can identify virus variants. At times, for target-specific mutation detection, reverse transcriptase polymerase chain reaction is used to identify specific variants. The Centers for Disease Control and Prevention's national SARS-CoV-2 Strain Surveillance Program is a comprehensive, population-based U.S. surveillance system to monitor SARS-CoV-2 genes, identifying emerging SARS-CoV-2 variants to determine implications for coronavirus disease 2019 (COVID-19) diagnostics, therapy, and vaccines. This review describes the main viral variants of concern and their potential impacts and briefly describes testing strategies.
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Affiliation(s)
| | - Joseph D Yao
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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Keaney D, Whelan S, Finn K, Lucey B. Misdiagnosis of SARS-CoV-2: A Critical Review of the Influence of Sampling and Clinical Detection Methods. Med Sci (Basel) 2021; 9:36. [PMID: 34070530 PMCID: PMC8162574 DOI: 10.3390/medsci9020036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 01/08/2023] Open
Abstract
SARS-CoV-2 infection has generated the biggest pandemic since the influenza outbreak of 1918-1919. One clear difference between these pandemics has been the ability to test for the presence of the virus or for evidence of infection. This review examined the performance characteristics of sample types via PCR detection of the virus, of antibody testing, of rapid viral antigen detection kits and computerised tomography (CT) scanning. It was found that combined detection approaches, such as the incorporation of CT scans, may reduce the levels of false negatives obtained by PCR detection in both symptomatic and asymptomatic patients, while sputum and oral throat washing sample types should take precedence over swabbing when available. Rt-PCR assays for detection of the virus remain the gold-standard method for SARS-CoV-2 diagnosis and can be used effectively on pooled samples for widespread screening. The novel Oxford antibody assay was found to have the highest sensitivity and specificity of four currently available commercial antibody kits but should only be used during a specific timeframe post-symptom onset. Further research into transmission modes between symptomatic and asymptomatic patients is needed. Analysis of the performance characteristics of different sampling and detection methods for SARS-CoV-2 showed that timing of sampling and testing methods used can greatly influence the rate of false-positive and false-negative test results, thereby influencing viral spread.
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Affiliation(s)
- Daniel Keaney
- Department of Biological Sciences, Munster Technological University, Bishopstown, T12 P928 Cork, Ireland; (D.K.); (S.W.); (B.L.)
| | - Shane Whelan
- Department of Biological Sciences, Munster Technological University, Bishopstown, T12 P928 Cork, Ireland; (D.K.); (S.W.); (B.L.)
| | - Karen Finn
- Department of Biopharmaceutical and Medical Science, Galway-Mayo Institute of Technology, Old Dublin Road, H91 DCH9 Galway, Ireland
| | - Brigid Lucey
- Department of Biological Sciences, Munster Technological University, Bishopstown, T12 P928 Cork, Ireland; (D.K.); (S.W.); (B.L.)
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Sensitive on-site detection of SARS-CoV-2 by ID NOW COVID-19. Mol Cell Probes 2021; 58:101742. [PMID: 33971264 PMCID: PMC8105142 DOI: 10.1016/j.mcp.2021.101742] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/04/2021] [Accepted: 05/04/2021] [Indexed: 11/21/2022]
Abstract
Point of care detection of SARS-CoV-2 is one pillar in a containment strategy and important to break infection chains. Here we report the sensitive, specific and robust detection of SARS-CoV-2 and respective variants of concern by the ID NOW COVID-19 device.
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Mardian Y, Kosasih H, Karyana M, Neal A, Lau CY. Review of Current COVID-19 Diagnostics and Opportunities for Further Development. Front Med (Lausanne) 2021; 8:615099. [PMID: 34026773 PMCID: PMC8138031 DOI: 10.3389/fmed.2021.615099] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 04/06/2021] [Indexed: 12/15/2022] Open
Abstract
Diagnostic testing plays a critical role in addressing the coronavirus disease 2019 (COVID-19) pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Rapid and accurate diagnostic tests are imperative for identifying and managing infected individuals, contact tracing, epidemiologic characterization, and public health decision making. Laboratory testing may be performed based on symptomatic presentation or for screening of asymptomatic people. Confirmation of SARS-CoV-2 infection is typically by nucleic acid amplification tests (NAAT), which requires specialized equipment and training and may be particularly challenging in resource-limited settings. NAAT may give false-negative results due to timing of sample collection relative to infection, improper sampling of respiratory specimens, inadequate preservation of samples, and technical limitations; false-positives may occur due to technical errors, particularly contamination during the manual real-time polymerase chain reaction (RT-PCR) process. Thus, clinical presentation, contact history and contemporary phyloepidemiology must be considered when interpreting results. Several sample-to-answer platforms, including high-throughput systems and Point of Care (PoC) assays, have been developed to increase testing capacity and decrease technical errors. Alternatives to RT-PCR assay, such as other RNA detection methods and antigen tests may be appropriate for certain situations, such as resource-limited settings. While sequencing is important to monitor on-going evolution of the SARS-CoV-2 genome, antibody assays are useful for epidemiologic purposes. The ever-expanding assortment of tests, with varying clinical utility, performance requirements, and limitations, merits comparative evaluation. We herein provide a comprehensive review of currently available COVID-19 diagnostics, exploring their pros and cons as well as appropriate indications. Strategies to further optimize safety, speed, and ease of SARS-CoV-2 testing without compromising accuracy are suggested. Access to scalable diagnostic tools and continued technologic advances, including machine learning and smartphone integration, will facilitate control of the current pandemic as well as preparedness for the next one.
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Affiliation(s)
- Yan Mardian
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia
| | - Herman Kosasih
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia
| | - Muhammad Karyana
- Indonesia Research Partnership on Infectious Disease (INA-RESPOND), Jakarta, Indonesia
- National Institute of Health Research and Development, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia
| | - Aaron Neal
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Chuen-Yen Lau
- National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
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Oo C, Ameer B. Revamping the ever-changing landscape of drug development processes in the midst of COVID-19 pandemic. Drug Discov Today 2021; 26:1337-1339. [PMID: 33932595 PMCID: PMC8081580 DOI: 10.1016/j.drudis.2021.04.024] [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: 02/01/2021] [Revised: 04/11/2021] [Accepted: 04/15/2021] [Indexed: 11/25/2022]
Abstract
Oncology is the frontline of drug development. The current pharmaceutical pipeline is disproportional focused on oncology, where about 1/3 of all phases of development is in this therapeutic area. The emphasis brings about substantial breakthroughs and has made positive impact on the quality of life. However, oncology remains a threat to human existence. To facilitate this process, a comprehensive list of novel/first molecularly targeted oncology drug approvals by the FDA from 2017 to 2020 is assessed. Here, we focus on molecularly targeted oncology drugs and not cytotoxic ones, although the latter remain important. To achieve this purpose, besides their sponsors, years of approval, drug classes, and cancer indications, clinical significance is included. The results show that approved molecularly targeted drugs span across diverse classes, including small molecule receptor inhibitors, and biologics such as monoclonal antibodies, antibody-drug conjugates, check-point inhibitors (i.e., PD1, PDL1, CTLA4) and CAR-T cell therapies. Although complete cure of cancer remains limited, we have made substantial inroads and more is yet to come. Moreover, many of these new knowledge can be extrapolated to other therapeutic areas, especially to those of currently unmet medical needs such as in neurology and other chronic diseases.
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Affiliation(s)
- Charles Oo
- CO-SunLife Biopharma, NJ, USA; BA-Rutgers Robert Wood Johnson Medical School, NJ, USA.
| | - Barbara Ameer
- CO-SunLife Biopharma, NJ, USA; BA-Rutgers Robert Wood Johnson Medical School, NJ, USA
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Gand M, Vanneste K, Thomas I, Van Gucht S, Capron A, Herman P, Roosens NHC, De Keersmaecker SCJ. Deepening of In Silico Evaluation of SARS-CoV-2 Detection RT-qPCR Assays in the Context of New Variants. Genes (Basel) 2021; 12:genes12040565. [PMID: 33924636 PMCID: PMC8069896 DOI: 10.3390/genes12040565] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 04/08/2021] [Accepted: 04/09/2021] [Indexed: 02/06/2023] Open
Abstract
For 1 year now, the world is undergoing a coronavirus disease-2019 (COVID-19) pandemic due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The most widely used method for COVID-19 diagnosis is the detection of viral RNA by RT-qPCR with a specific set of primers and probe. It is important to frequently evaluate the performance of these tests and this can be done first by an in silico approach. Previously, we reported some mismatches between the oligonucleotides of publicly available RT-qPCR assays and SARS-CoV-2 genomes collected from GISAID and NCBI, potentially impacting proper detection of the virus. In the present study, 11 primers and probe sets investigated during the first study were evaluated again with 84,305 new SARS-CoV-2 unique genomes collected between June 2020 and January 2021. The lower inclusivity of the China CDC assay targeting the gene N has continued to decrease with new mismatches detected, whereas the other evaluated assays kept their inclusivity above 99%. Additionally, some mutations specific to new SARS-CoV-2 variants of concern were found to be located in oligonucleotide annealing sites. This might impact the strategy to be considered for future SARS-CoV-2 testing. Given the potential threat of the new variants, it is crucial to assess if they can still be correctly targeted by the primers and probes of the RT-qPCR assays. Our study highlights that considering the evolution of the virus and the emergence of new variants, an in silico (re-)evaluation should be performed on a regular basis. Ideally, this should be done for all the RT-qPCR assays employed for SARS-CoV-2 detection, including also commercial tests, although the primer and probe sequences used in these kits are rarely disclosed, which impedes independent performance evaluation.
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Affiliation(s)
- Mathieu Gand
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium; (M.G.); (K.V.); (N.H.C.R.)
| | - Kevin Vanneste
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium; (M.G.); (K.V.); (N.H.C.R.)
| | - Isabelle Thomas
- Viral Diseases, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium; (I.T.); (S.V.G.)
| | - Steven Van Gucht
- Viral Diseases, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium; (I.T.); (S.V.G.)
| | - Arnaud Capron
- Quality of Laboratories, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium;
| | - Philippe Herman
- Expertise and Service Provision, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium;
| | - Nancy H. C. Roosens
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium; (M.G.); (K.V.); (N.H.C.R.)
| | - Sigrid C. J. De Keersmaecker
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, B-1050 Brussels, Belgium; (M.G.); (K.V.); (N.H.C.R.)
- Correspondence: ; Tel.: +32-2-642-5257
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Gopalaswamy R, Subbian S. Corticosteroids for COVID-19 Therapy: Potential Implications on Tuberculosis. Int J Mol Sci 2021; 22:ijms22073773. [PMID: 33917321 PMCID: PMC8038708 DOI: 10.3390/ijms22073773] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 12/15/2022] Open
Abstract
On 11 March 2020, the World Health Organization announced the Corona Virus Disease-2019 (COVID-19) as a global pandemic, which originated in China. At the host level, COVID-19, caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), affects the respiratory system, with the clinical symptoms ranging from mild to severe or critical illness that often requires hospitalization and oxygen support. There is no specific therapy for COVID-19, as is the case for any common viral disease except drugs to reduce the viral load and alleviate the inflammatory symptoms. Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (Mtb), also primarily affects the lungs and has clinical signs similar to pulmonary SARS-CoV-2 infection. Active TB is a leading killer among infectious diseases and adds to the burden of the COVID-19 pandemic worldwide. In immunocompetent individuals, primary Mtb infection can also lead to a non-progressive, asymptomatic latency. However, latent Mtb infection (LTBI) can reactivate symptomatic TB disease upon host immune-suppressing conditions. Importantly, the diagnosis and treatment of TB are hampered and admixed with COVID-19 control measures. The US-Center for Disease Control (US-CDC) recommends using antiviral drugs, Remdesivir or corticosteroid (CST), such as dexamethasone either alone or in-combination with specific recommendations for COVID-19 patients requiring hospitalization or oxygen support. However, CSTs can cause immunosuppression, besides their anti-inflammatory properties. The altered host immunity during COVID-19, combined with CST therapy, poses a significant risk for new secondary infections and/or reactivation of existing quiescent infections, such as LTBI. This review highlights CST therapy recommendations for COVID-19, various types and mechanisms of action of CSTs, the deadly combination of two respiratory infectious diseases COVID-19 and TB. It also discusses the importance of screening for LTBI to prevent TB reactivation during corticosteroid therapy for COVID-19.
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Affiliation(s)
- Radha Gopalaswamy
- Department of Bacteriology, ICMR-National Institute for Research in Tuberculosis, Chennai 600031, India;
| | - Selvakumar Subbian
- Public Health Research Institute at New Jersey Medical School, Rutgers University, 225 Warren Street, Newark, NJ 08854, USA
- Correspondence:
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Genotyping of the Major SARS-CoV-2 Clade by Short-Amplicon High-Resolution Melting (SA-HRM) Analysis. Genes (Basel) 2021; 12:genes12040531. [PMID: 33916492 PMCID: PMC8067340 DOI: 10.3390/genes12040531] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 12/17/2022] Open
Abstract
The genome of the SARS-CoV-2 virus, the causal agent of the COVID-19 pandemic, has diverged due to multiple mutations since its emergence as a human pathogen in December 2019. Some mutations have defined several SARS-CoV-2 clades that seem to behave differently in terms of regional distribution and other biological features. Next-generation sequencing (NGS) approaches are used to classify the sequence variants in viruses from individual human patients. However, the cost and relative scarcity of NGS equipment and expertise in developing countries prevent studies aimed to associate specific clades and variants to clinical features and outcomes in such territories. As of March 2021, the GR clade and its derivatives, including the B.1.1.7 and B.1.1.28 variants, predominate worldwide. We implemented the post-PCR small-amplicon high-resolution melting analysis to genotype SARS-CoV-2 viruses isolated from the saliva of individual patients. This procedure was able to clearly distinguish two groups of samples of SARS-CoV-2-positive samples predicted, according to their melting profiles, to contain GR and non-GR viruses. This grouping of the samples was validated by means of amplification-refractory mutation system (ARMS) assay as well as Sanger sequencing.
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