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Zhang X, Li Y, Wang Q, Jiang C, Shan Y, Liu Y, Ma C, Guo Q, Shi C. Three-way junction structure-mediated reverse transcription-free exponential amplification reaction for pathogen RNA detection. Anal Bioanal Chem 2024; 416:3161-3171. [PMID: 38558309 DOI: 10.1007/s00216-024-05264-2] [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: 01/29/2024] [Revised: 02/27/2024] [Accepted: 03/22/2024] [Indexed: 04/04/2024]
Abstract
Since RNA is an important biomarker of many infectious pathogens, RNA detection of pathogenic organisms is crucial for disease diagnosis and environmental and food safety. By simulating the base mismatch during DNA replication, this study presents a novel three-way junction structure-mediated reverse transcription-free exponential amplification reaction (3WJ-RTF-EXPAR) for the rapid and sensitive detection of pathogen RNA. The target RNA served as a switch to initiate the reaction by forming a three-way junction (3WJ) structure with the ex-trigger strand and the ex-primer strand. The generated trigger strand could be significantly amplified through EXPAR to open the stem-loop structure of the molecular beacon to emit fluorescence signal. The proofreading activity of Vent DNA polymerase, in combination with the unique structure of 2+1 bases at the 3'-end of the ex-primer strand, could enhance the role of target RNA as a reaction switch to reduce non-specific amplification and ensure excellent specificity to differentiate target pathogen from those causing similar symptoms. Furthermore, detection of target RNA showed a detection limit of 1.0×104 copies/mL, while the time consumption was only 20 min, outperforming qRT-LAMP and qRT-PCR, the most commonly used RNA detection methods in clinical practice. All those indicates the great application prospects of this method in clinical diagnostic.
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Affiliation(s)
- Xinguang Zhang
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Yang Li
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Qing Wang
- Department of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Chao Jiang
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Yuting Shan
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Yao Liu
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Cuiping Ma
- Shandong Provincial Key Laboratory of Biochemical Engineering, Key Laboratory of Nucleic Acid Rapid Detection, Sino-UAE International Cooperative Joint Laboratory of Pathogenic Microorganism Rapid Detection, College of Biological Engineering, Qingdao Nucleic Acid Rapid Detection Engineering Research Center, Qingdao University of Science and Technology, QingdaoQingdao, 266042, China
| | - Qunqun Guo
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China.
| | - Chao Shi
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Qingdao University, Qingdao, 266071, People's Republic of China.
- Department of Pathogenic Biology, School of Basic Medicine, Qingdao University, Qingdao, 266071, People's Republic of China.
- Department of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, 266071, People's Republic of China.
- Qingdao JianMa Gene Technology Co., Ltd, Qingdao, 266114, People's Republic of China.
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2
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Laxton CS, Peno C, Hahn AM, Allicock OM, Perniciaro S, Wyllie AL. The potential of saliva as an accessible and sensitive sample type for the detection of respiratory pathogens and host immunity. THE LANCET. MICROBE 2023; 4:e837-e850. [PMID: 37516121 DOI: 10.1016/s2666-5247(23)00135-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/19/2023] [Accepted: 04/24/2023] [Indexed: 07/31/2023]
Abstract
Despite its prominence in early scientific records, the usefulness of saliva as a respiratory specimen has been de-emphasised over the past century. However, due to its low cost and reliance on specific supply chains and the non-invasive nature of its collection, its benefits over swab-based specimens are again becoming increasingly recognised. These benefits were highlighted over the course of the COVID-19 pandemic, where saliva emerged as a more practical, clinically non-inferior sample type for the detection of SARS-CoV-2 and saw numerous saliva-based diagnostic tests approved for clinical use. Looking forward, as saliva uniquely contains both respiratory secretions and immunological components, it has potentially wide applications, ranging from clinical diagnostics to post-vaccine disease burden and immunity surveillance. This Personal View seeks to summarise the existing evidence for the use of saliva in detecting respiratory pathogens, beyond SARS-CoV-2, as well as detailing methodological factors that can influence sample quality and thus, clinical utility.
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Affiliation(s)
- Claire S Laxton
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Chikondi Peno
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Anne M Hahn
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Orchid M Allicock
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Stephanie Perniciaro
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Anne L Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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Caixeta DC, Paranhos LR, Blumenberg C, Garcia-Júnior MA, Guevara-Vega M, Taveira EB, Nunes MAC, Cunha TM, Jardim ACG, Flores-Mir C, Sabino-Silva R. Salivary SARS-CoV-2 RNA for diagnosis of COVID-19 patients: a systematic revisew and meta-analysis of diagnostic accuracy. JAPANESE DENTAL SCIENCE REVIEW 2023:S1882-7616(23)00016-9. [PMID: 37360001 PMCID: PMC10284464 DOI: 10.1016/j.jdsr.2023.06.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/22/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023] Open
Abstract
Accurate, self-collected, and non-invasive diagnostics are critical to perform mass-screening diagnostic tests for COVID-19. This systematic review with meta-analysis evaluated the accuracy, sensitivity, and specificity of salivary diagnostics for COVID-19 based on SARS-CoV-2 RNA compared with the current reference tests using a nasopharyngeal swab (NPS) and/or oropharyngeal swab (OPS). An electronic search was performed in seven databases to find COVID-19 diagnostic studies simultaneously using saliva and NPS/OPS tests to detect SARS-CoV-2 by RT-PCR. The search resulted in 10,902 records, of which 44 studies were considered eligible. The total sample consisted of 14,043 participants from 21 countries. The accuracy, specificity, and sensitivity for saliva compared with the NPS/OPS was 94.3% (95%CI= 92.1;95.9), 96.4% (95%CI= 96.1;96.7), and 89.2% (95%CI= 85.5;92.0), respectively. Besides, the sensitivity of NPS/OPS was 90.3% (95%CI= 86.4;93.2) and saliva was 86.4% (95%CI= 82.1;89.8) compared to the combination of saliva and NPS/OPS as the gold standard. These findings suggest a similarity in SARS-CoV-2 RNA detection between NPS/OPS swabs and saliva, and the association of both testing approaches as a reference standard can increase by 3.6% the SARS-CoV-2 detection compared with NPS/OPS alone. This study supports saliva as an attractive alternative for diagnostic platforms to provide a non-invasive detection of SARS-CoV-2.
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Affiliation(s)
- Douglas Carvalho Caixeta
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Luiz Renato Paranhos
- School of Dentistry, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Cauane Blumenberg
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Marcelo Augusto Garcia-Júnior
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Marco Guevara-Vega
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Elisa Borges Taveira
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Marjorie Adriane Costa Nunes
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
- School of Dentistry, CEUMA University, Sao Luiz, MA, Brazil
| | - Thúlio Marquez Cunha
- Department of Pulmonology, School of Medicine, Federal University of Uberlandia, Minas Gerais, Brazil
| | - Ana Carolina Gomes Jardim
- Laboratory of Antiviral Research, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Carlos Flores-Mir
- Division of Orthodontics, School of Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Robinson Sabino-Silva
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
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Wagner K, Fox P, Gordon E, Hahn W, Olsen K, Markham A, Buglewicz D, Selemenakis P, Lessard A, Goldstein D, Threatt A, Davis L, Miller-Dawson J, Stockett H, Sanders H, Rugh K, Turner H, Remias M, Williams M, Chavez J, Galindo G, Cialek C, Koch A, Fout A, Fosdick B, Broeckling B, Zabel MD. A multiplexed, paired-pooled droplet digital PCR assay for detection of SARS-CoV-2 in saliva. Sci Rep 2023; 13:3075. [PMID: 36813822 PMCID: PMC9944410 DOI: 10.1038/s41598-023-29858-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/11/2023] [Indexed: 02/24/2023] Open
Abstract
In response to the SARS-CoV-2 pandemic, we developed a multiplexed, paired-pool droplet digital PCR (MP4) screening assay. Key features of our assay are the use of minimally processed saliva, 8-sample paired pools, and reverse-transcription droplet digital PCR (RT-ddPCR) targeting the SARS-CoV-2 nucleocapsid gene. The limit of detection was determined to be 2 and 12 copies per µl for individual and pooled samples, respectively. Using the MP4 assay, we routinely processed over 1,000 samples a day with a 24-h turnaround time and over the course of 17 months, screened over 250,000 saliva samples. Modeling studies showed that the efficiency of 8-sample pools was reduced with increased viral prevalence and that this could be mitigated by using 4-sample pools. We also present a strategy for, and modeling data supporting, the creation of a third paired pool as an additional strategy to employ under high viral prevalence.
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Affiliation(s)
- Kaitlyn Wagner
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Phil Fox
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Elizabeth Gordon
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Westen Hahn
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Kenzie Olsen
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Alex Markham
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Dylan Buglewicz
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Platon Selemenakis
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Avery Lessard
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Daniella Goldstein
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Alissa Threatt
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Luke Davis
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Jake Miller-Dawson
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Halie Stockett
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | | | - Kristin Rugh
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Houston Turner
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Michelle Remias
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Maggie Williams
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Jorge Chavez
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Gabriel Galindo
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Charlotte Cialek
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Amanda Koch
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Alex Fout
- Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Bailey Fosdick
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Bettina Broeckling
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA
- Colorado State University, Fort Collins, CO, 80523, USA
| | - Mark D Zabel
- Prion Research Center, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Fort Collins, USA.
- Colorado State University, Fort Collins, CO, 80523, USA.
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Blake H, Somerset S, Mahmood I, Mahmood N, Corner J, Ball JK, Denning C. A Qualitative Evaluation of the Barriers and Enablers for Implementation of an Asymptomatic SARS-CoV-2 Testing Service at the University of Nottingham: A Multi-Site Higher Education Setting in England. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13140. [PMID: 36293719 PMCID: PMC9603241 DOI: 10.3390/ijerph192013140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/24/2022] [Accepted: 10/09/2022] [Indexed: 06/16/2023]
Abstract
Asymptomatic testing for SARS-CoV-2 RNA has been used to prevent and manage COVID-19 outbreaks in university settings, but few studies have explored their implementation. The aim of the study was to evaluate how an accredited asymptomatic SARS-CoV-2 testing service (ATS) was implemented at the University of Nottingham, a multi-campus university in England, to identify barriers and enablers of implementation and to draw out lessons for implementing pandemic response initiatives in higher education settings. A qualitative interview study was conducted with 25 ATS personnel between May and July 2022. Interviews were conducted online, audio-recorded, and transcribed. Participants were asked about their experience of the ATS, barriers and enablers of implementation. Transcripts were thematically analysed. There were four overarching themes: (1) social responsibility and innovation, (2) when, how and why people accessed testing, (3) impact of the ATS on the spread of COVID-19, and (4) lessons learned for the future. In establishing the service, the institution was seen to be valuing its community and socially responsible. The service was viewed to be broadly successful as a COVID-19 mitigation approach. Challenges to service implementation were the rapidly changing pandemic situation and government advice, delays in service accreditation and rollout to staff, ambivalence towards testing and isolating in the target population, and an inability to provide follow-up support for positive cases within the service. Facilitators included service visibility, reduction in organisational bureaucracy and red tape, inclusive leadership, collaborative working with regular feedback on service status, flexibility in service delivery approaches and simplicity of saliva testing. The ATS instilled a perception of early 'return to normality' and impacted positively on staff feelings of safety and wellbeing, with wider benefits for healthcare services and local communities. In conclusion, we identified common themes that have facilitated or hindered the implementation of a SARS-CoV-2 testing service at a university in England. Lessons learned from ATS implementation will inform future pandemic response interventions in higher education settings.
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Affiliation(s)
- Holly Blake
- School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK
- NIHR Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
| | - Sarah Somerset
- NIHR Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
- School of Medicine, University of Nottingham, Nottingham NG7 2RD, UK
| | - Ikra Mahmood
- School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK
- School of Medicine, University of Nottingham, Nottingham NG7 2RD, UK
| | - Neelam Mahmood
- School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK
| | - Jessica Corner
- Executive Office, University of Nottingham, Nottingham NG7 2RD, UK
| | - Jonathan K. Ball
- School of Life Sciences, University of Nottingham, Nottingham NG7 2UH, UK
- Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK
| | - Chris Denning
- School of Medicine, University of Nottingham, Nottingham NG7 2RD, UK
- Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK
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