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Cui X, Ngang S, Liu DD, Cheow LF. Rapid Single-Round Pool Testing of Infectious Disease Enabled by Multicolor Digital Melting PCR. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2205636. [PMID: 37209020 DOI: 10.1002/smll.202205636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 04/27/2023] [Indexed: 05/21/2023]
Abstract
Pooled nucleic acid amplification test is a promising strategy to reduce cost and resources for screening large populations for infectious disease. However, the benefit of pooled testing is reversed when disease prevalence is high, because of the need to retest each sample to identify infected individual when a pool is positive. Split, Amplify, and Melt analysis of Pooled Assay (SAMPA) is presented, a multicolor digital melting PCR assay in nanoliter chambers that simultaneously identify infected individuals and quantify their viral loads in a single round of pooled testing. This is achieved by early sample tagging with unique barcodes and pooling, followed by single molecule barcode identification in a digital PCR platform using a highly multiplexed melt curve analysis strategy. The feasibility is demonstrated of SAMPA for quantitative unmixing and variant identification from pools of eight synthetic DNA and RNA samples corresponding to the N1 gene, as well as from heat-inactivated SARS-CoV-2 virus. Single round pooled testing of barcoded samples with SAMPA can be a valuable tool for rapid and scalable population testing of infectious disease.
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Affiliation(s)
- Xu Cui
- Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore
| | - Shaun Ngang
- Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore
| | - Dong Dong Liu
- Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore
| | - Lih Feng Cheow
- Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore
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2
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Dong T, Wang M, Liu J, Ma P, Pang S, Liu W, Liu A. Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives. Chem Sci 2023; 14:6149-6206. [PMID: 37325147 PMCID: PMC10266450 DOI: 10.1039/d2sc06665c] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/03/2023] [Indexed: 06/17/2023] Open
Abstract
The disastrous spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has induced severe public healthcare issues and weakened the global economy significantly. Although SARS-CoV-2 infection is not as fatal as the initial outbreak, many infected victims suffer from long COVID. Therefore, rapid and large-scale testing is critical in managing patients and alleviating its transmission. Herein, we review the recent advances in techniques to detect SARS-CoV-2. The sensing principles are detailed together with their application domains and analytical performances. In addition, the advantages and limits of each method are discussed and analyzed. Besides molecular diagnostics and antigen and antibody tests, we also review neutralizing antibodies and emerging SARS-CoV-2 variants. Further, the characteristics of the mutational locations in the different variants with epidemiological features are summarized. Finally, the challenges and possible strategies are prospected to develop new assays to meet different diagnostic needs. Thus, this comprehensive and systematic review of SARS-CoV-2 detection technologies may provide insightful guidance and direction for developing tools for the diagnosis and analysis of SARS-CoV-2 to support public healthcare and effective long-term pandemic management and control.
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Affiliation(s)
- Tao Dong
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
- School of Pharmacy, Medical College, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Mingyang Wang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Junchong Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Pengxin Ma
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Shuang Pang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Wanjian Liu
- Qingdao Hightop Biotech Co., Ltd 369 Hedong Road, Hi-tech Industrial Development Zone Qingdao 266112 China
| | - Aihua Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
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3
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Salahandish R, Hyun JE, Haghayegh F, Tabrizi HO, Moossavi S, Khetani S, Ayala-Charca G, Berenger BM, Niu YD, Ghafar-Zadeh E, Nezhad AS. CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS-CoV-2. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2206615. [PMID: 36995043 DOI: 10.1002/advs.202206615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/31/2023] [Indexed: 05/27/2023]
Abstract
The widespread accessibility of commercial/clinically-viable electrochemical diagnostic systems for rapid quantification of viral proteins demands translational/preclinical investigations. Here, Covid-Sense (CoVSense) antigen testing platform; an all-in-one electrochemical nano-immunosensor for sample-to-result, self-validated, and accurate quantification of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N)-proteins in clinical examinations is developed. The platform's sensing strips benefit from a highly-sensitive, nanostructured surface, created through the incorporation of carboxyl-functionalized graphene nanosheets, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) conductive polymers, enhancing the overall conductivity of the system. The nanoengineered surface chemistry allows for compatible direct assembly of bioreceptor molecules. CoVSense offers an inexpensive (<$2 kit) and fast/digital response (<10 min), measured using a customized hand-held reader (<$25), enabling data-driven outbreak management. The sensor shows 95% clinical sensitivity and 100% specificity (Ct<25), and overall sensitivity of 91% for combined symptomatic/asymptomatic cohort with wildtype SARS-CoV-2 or B.1.1.7 variant (N = 105, nasal/throat samples). The sensor correlates the N-protein levels to viral load, detecting high Ct values of ≈35, with no sample preparation steps, while outperforming the commercial rapid antigen tests. The current translational technology fills the gap in the workflow of rapid, point-of-care, and accurate diagnosis of COVID-19.
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Affiliation(s)
- Razieh Salahandish
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
- Laboratory of Advanced Biotechnologies for Health Assessments (LAB-HA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
| | - Jae Eun Hyun
- Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Fatemeh Haghayegh
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Hamed Osouli Tabrizi
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
| | - Shirin Moossavi
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
- Department of Physiology and Pharmacology, University of Calgary, Calgary, AB, T2N 1N4, Canada
- International Microbiome Centre, Cumming School of Medicine, Health Sciences Centre, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Sultan Khetani
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Giancarlo Ayala-Charca
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
| | - Byron M Berenger
- Alberta Public Health Laboratory, Alberta Precision Laboratories, 3330 Hospital Drive, Calgary, AB, T2N 4W4, Canada
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Yan Dong Niu
- Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Ebrahim Ghafar-Zadeh
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
| | - Amir Sanati Nezhad
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada
- Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, T2N 1N4, Canada
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4
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Xiao H, Hu J, Huang C, Feng W, Liu Y, Kumblathan T, Tao J, Xu J, Le XC, Zhang H. CRISPR techniques and potential for the detection and discrimination of SARS-CoV-2 variants of concern. Trends Analyt Chem 2023; 161:117000. [PMID: 36937152 PMCID: PMC9977466 DOI: 10.1016/j.trac.2023.117000] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023]
Abstract
The continuing evolution of the SARS-CoV-2 virus has led to the emergence of many variants, including variants of concern (VOCs). CRISPR-Cas systems have been used to develop techniques for the detection of variants. These techniques have focused on the detection of variant-specific mutations in the spike protein gene of SARS-CoV-2. These sequences mostly carry single-nucleotide mutations and are difficult to differentiate using a single CRISPR-based assay. Here we discuss the specificity of the Cas9, Cas12, and Cas13 systems, important considerations of mutation sites, design of guide RNA, and recent progress in CRISPR-based assays for SARS-CoV-2 variants. Strategies for discriminating single-nucleotide mutations include optimizing the position of mismatches, modifying nucleotides in the guide RNA, and using two guide RNAs to recognize the specific mutation sequence and a conservative sequence. Further research is needed to confront challenges in the detection and differentiation of variants and sublineages of SARS-CoV-2 in clinical diagnostic and point-of-care applications.
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Affiliation(s)
- Huyan Xiao
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Jianyu Hu
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Camille Huang
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Wei Feng
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Yanming Liu
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Teresa Kumblathan
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Jeffrey Tao
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Jingyang Xu
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - X Chris Le
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
| | - Hongquan Zhang
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada
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5
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Vo V, Harrington A, Afzal S, Papp K, Chang CL, Baker H, Aguilar P, Buttery E, Picker MA, Lockett C, Gerrity D, Kan HY, Oh EC. Identification of a rare SARS-CoV-2 XL hybrid variant in wastewater and the subsequent discovery of two infected individuals in Nevada. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160024. [PMID: 36356728 PMCID: PMC9640213 DOI: 10.1016/j.scitotenv.2022.160024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/29/2022] [Accepted: 11/03/2022] [Indexed: 05/31/2023]
Abstract
The identification of novel SARS-CoV-2 variants can predict new patterns of COVID-19 community transmission and lead to the deployment of public health resources. However, increased access to at-home antigen tests and reduced free PCR tests have recently led to data gaps for the surveillance of evolving SARS-CoV-2 variants. To overcome such limitations, we asked whether wastewater surveillance could be leveraged to detect rare variants circulating in a community before local detection in human cases. Here, we performed whole genome sequencing (WGS) of SARS-CoV-2 from a wastewater treatment plant serving Las Vegas, Nevada in April 2022. Using metrics that exceeded 100× depth at a coverage of >90 % of the viral genome, we identified a variant profile similar to the XL recombinant lineage containing 26 mutations found in BA.1 and BA.2 and three private mutations. Prompted by the discovery of this rare lineage in wastewater, we analyzed clinical COVID-19 sequencing data from Southern Nevada and identified two cases infected with the XL lineage. Taken together, our data highlight how wastewater genome sequencing data can be used to discover rare SARS-CoV-2 lineages in a community and complement local public health surveillance.
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Affiliation(s)
- Van Vo
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Anthony Harrington
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Salman Afzal
- Southern Nevada Health District, Las Vegas, NV 89106, USA
| | - Katerina Papp
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Ching-Lan Chang
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Hayley Baker
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | | | - Erin Buttery
- Southern Nevada Health District, Las Vegas, NV 89106, USA
| | | | | | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.
| | - Horng-Yuan Kan
- Southern Nevada Health District, Las Vegas, NV 89106, USA.
| | - Edwin C Oh
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Department of Internal Medicine, UNLV School of Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
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6
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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: 1.0] [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,Corresponding author.
| | - 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,Corresponding author. 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.
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7
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Jiang W, Ji W, Zhang Y, Xie Y, Chen S, Jin Y, Duan G. An Update on Detection Technologies for SARS-CoV-2 Variants of Concern. Viruses 2022; 14:v14112324. [PMID: 36366421 PMCID: PMC9693800 DOI: 10.3390/v14112324] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/15/2022] [Accepted: 10/20/2022] [Indexed: 01/18/2023] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is responsible for the global epidemic of Coronavirus Disease 2019 (COVID-19), with a significant impact on the global economy and human safety. Reverse transcription-quantitative polymerase chain reaction (RT-PCR) is the gold standard for detecting SARS-CoV-2, but because the virus's genome is prone to mutations, the effectiveness of vaccines and the sensitivity of detection methods are declining. Variants of concern (VOCs) include Alpha, Beta, Gamma, Delta, and Omicron, which are able to evade recognition by host immune mechanisms leading to increased transmissibility, morbidity, and mortality of COVID-19. A range of research has been reported on detection techniques for VOCs, which is beneficial to prevent the rapid spread of the epidemic, improve the effectiveness of public health and social measures, and reduce the harm to human health and safety. However, a meaningful translation of this that reduces the burden of disease, and delivers a clear and cohesive message to guide daily clinical practice, remains preliminary. Herein, we summarize the capabilities of various nucleic acid and protein-based detection methods developed for VOCs in identifying and differentiating current VOCs and compare the advantages and disadvantages of each method, providing a basis for the rapid detection of VOCs strains and their future variants and the adoption of corresponding preventive and control measures.
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Affiliation(s)
- Wenjie Jiang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wangquan Ji
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yu Zhang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yaqi Xie
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Shuaiyin Chen
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Molecular Medicine, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (S.C.); (Y.J.); (G.D.); Tel.: +86-13523408394 (S.C.); +86-0371-67781453 (Y.J.); +86-0371-67789797 (G.D.)
| | - Yuefei Jin
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (S.C.); (Y.J.); (G.D.); Tel.: +86-13523408394 (S.C.); +86-0371-67781453 (Y.J.); +86-0371-67789797 (G.D.)
| | - Guangcai Duan
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Molecular Medicine, Zhengzhou University, Zhengzhou 450001, China
- Correspondence: (S.C.); (Y.J.); (G.D.); Tel.: +86-13523408394 (S.C.); +86-0371-67781453 (Y.J.); +86-0371-67789797 (G.D.)
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8
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Warneford-Thomson R, Shah PP, Lundgren P, Lerner J, Morgan J, Davila A, Abella BS, Zaret K, Schug J, Jain R, Thaiss CA, Bonasio R. A LAMP sequencing approach for high-throughput co-detection of SARS-CoV-2 and influenza virus in human saliva. eLife 2022; 11:69949. [PMID: 35532013 PMCID: PMC9084890 DOI: 10.7554/elife.69949] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 04/24/2022] [Indexed: 12/02/2022] Open
Abstract
The COVID-19 pandemic has created an urgent need for rapid, effective, and low-cost SARS-CoV-2 diagnostic testing. Here, we describe COV-ID, an approach that combines RT-LAMP with deep sequencing to detect SARS-CoV-2 in unprocessed human saliva with a low limit of detection (5–10 virions). Based on a multi-dimensional barcoding strategy, COV-ID can be used to test thousands of samples overnight in a single sequencing run with limited labor and laboratory equipment. The sequencing-based readout allows COV-ID to detect multiple amplicons simultaneously, including key controls such as host transcripts and artificial spike-ins, as well as multiple pathogens. Here, we demonstrate this flexibility by simultaneous detection of 4 amplicons in contrived saliva samples: SARS-CoV-2, influenza A, human STATHERIN, and an artificial SARS calibration standard. The approach was validated on clinical saliva samples, where it showed excellent agreement with RT-qPCR. COV-ID can also be performed directly on saliva absorbed on filter paper, simplifying collection logistics and sample handling.
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Affiliation(s)
- Robert Warneford-Thomson
- Graduate Group in Biochemistry and Biophysics, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Parisha P Shah
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Patrick Lundgren
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Jonathan Lerner
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Jason Morgan
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Antonio Davila
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,University of Pennsylvania School of Nursing, Philadelphia, United States
| | - Benjamin S Abella
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Kenneth Zaret
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Jonathan Schug
- Next-Generation Sequencing Core, Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Rajan Jain
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Christoph A Thaiss
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Roberto Bonasio
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
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