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Abdel-Sater F, Makki R, Khalil A, Hussein N, Borghol N, Abi Khattar Z, Hamade A, Khreich N, El Homsi M, Kanaan H, Raad L, Skafi N, Al-Nemer F, Ghandour Z, El-Zein N, Abou-Hamdan M, Akl H, Hamade E, Badran B, Hamze K. Detection of SARS-CoV-2 B.1.1.529 (Omicron) variant by SYBR Green-based RT-qPCR. Biol Methods Protoc 2024; 9:bpae020. [PMID: 38680163 PMCID: PMC11055497 DOI: 10.1093/biomethods/bpae020] [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: 12/10/2023] [Revised: 02/23/2024] [Indexed: 05/01/2024] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is unceasingly spreading across the globe, and recently a highly transmissible Omicron SARS-CoV-2 variant (B.1.1.529) has been discovered in South Africa and Botswana. Rapid identification of this variant is essential for pandemic assessment and containment. However, variant identification is mainly being performed using expensive and time-consuming genomic sequencing. In this study, we propose an alternative RT-qPCR approach for the detection of the Omicron BA.1 variant using a low-cost and rapid SYBR Green method. We have designed specific primers to confirm the deletion mutations in the spike (S Δ143-145) and the nucleocapsid (N Δ31-33) which are characteristics of this variant. For the evaluation, we used 120 clinical samples from patients with PCR-confirmed SARS-CoV-2 infections, and displaying an S-gene target failure (SGTF) when using TaqPath COVID-19 kit (Thermo Fisher Scientific, Waltham, USA) that included the ORF1ab, S, and N gene targets. Our results showed that all the 120 samples harbored S Δ143-145 and N Δ31-33, which was further confirmed by whole-genome sequencing of 10 samples, thereby validating our SYBR Green-based protocol. This protocol can be easily implemented to rapidly confirm the diagnosis of the Omicron BA.1 variant in COVID-19 patients and prevent its spread among populations, especially in countries with high prevalence of SGTF profile.
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Affiliation(s)
- Fadi Abdel-Sater
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Rawan Makki
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Alia Khalil
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Nader Hussein
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Nada Borghol
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Ziad Abi Khattar
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Aline Hamade
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Nathalie Khreich
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Mahoumd El Homsi
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Hussein Kanaan
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Line Raad
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Najwa Skafi
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Fatima Al-Nemer
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Zeinab Ghandour
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Nabil El-Zein
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Mhamad Abou-Hamdan
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Haidar Akl
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Eva Hamade
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Bassam Badran
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
| | - Kassem Hamze
- Laboratory of Molecular Biology and Cancer Immunology (COVID-19 Unit), Faculty of science I, Lebanese University, Rafik Hariri Campus, Hadat. Lebanon
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2
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Liu Y, Li Y, Hang Y, Wang L, Wang J, Bao N, Kim Y, Jang HW. Rapid assays of SARS-CoV-2 virus and noble biosensors by nanomaterials. NANO CONVERGENCE 2024; 11:2. [PMID: 38190075 PMCID: PMC10774473 DOI: 10.1186/s40580-023-00408-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024]
Abstract
The COVID-19 outbreak caused by SARS-CoV-2 in late 2019 has spread rapidly across the world to form a global epidemic of respiratory infectious diseases. Increased investigations on diagnostic tools are currently implemented to assist rapid identification of the virus because mass and rapid diagnosis might be the best way to prevent the outbreak of the virus. This critical review discusses the detection principles, fabrication techniques, and applications on the rapid detection of SARS-CoV-2 with three categories: rapid nuclear acid augmentation test, rapid immunoassay test and biosensors. Special efforts were put on enhancement of nanomaterials on biosensors for rapid, sensitive, and low-cost diagnostics of SARS-CoV-2 virus. Future developments are suggested regarding potential candidates in hospitals, clinics and laboratories for control and prevention of large-scale epidemic.
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Affiliation(s)
- Yang Liu
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yilong Li
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yuteng Hang
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Lei Wang
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Jinghan Wang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
| | - Ning Bao
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Youngeun Kim
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Ho Won Jang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
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3
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Li D, Sun C, Zhuang P, Mei X. Revolutionizing SARS-CoV-2 omicron variant detection: Towards faster and more reliable methods. Talanta 2024; 266:124937. [PMID: 37481886 DOI: 10.1016/j.talanta.2023.124937] [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] [Received: 03/08/2023] [Revised: 07/03/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
The emergence of the highly contagious Omicron variant of SARS-CoV-2 has inflicted significant damage during the ongoing COVID-19 pandemic. This new variant's significant sequence changes and mutations in both proteins and RNA have rendered many existing rapid detection methods ineffective in identifying it accurately. As the world races to control the spread of the virus, researchers are urgently exploring new diagnostic strategies to specifically detect Omicron variants with high accuracy and sensitivity. In response to this challenge, we have compiled a comprehensive overview of the latest reported rapid detection techniques. These techniques include strategies for the simultaneous detection of multiple SARS-CoV-2 variants and methods for selectively distinguishing Omicron variants. By categorizing these diagnostic techniques based on their targets, which encompass protein antigens and nucleic acids, we aim to offer a comprehensive understanding of the utilization of various recognition elements in identifying these targets. We also highlight the advantages and limitations of each approach. Our work is crucial in providing a more nuanced understanding of the challenges and opportunities in detecting Omicron variants and emerging variants.
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Affiliation(s)
- Dan Li
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China.
| | - Cai Sun
- AECC Shenyang Liming Aero-Engine Co., Ltd., Shenyang, China
| | - Pengfei Zhuang
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China
| | - Xifan Mei
- Key Laboratory of Medical Tissue Engineering of Liaoning Province, Jinzhou Medical University, Jinzhou, Liaoning, China.
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4
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Yan T, Zheng R, Li Y, Sun S, Zeng X, Yue Z, Liao Y, Hu Q, Xu Y, Li Q. Epidemiological Insights into the Omicron Outbreak via MeltArray-Assisted Real-Time Tracking of SARS-CoV-2 Variants. Viruses 2023; 15:2397. [PMID: 38140638 PMCID: PMC10748191 DOI: 10.3390/v15122397] [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: 11/02/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
The prolonged course of the COVID-19 pandemic necessitates sustained surveillance of emerging variants. This study aimed to develop a multiplex real-time polymerase chain reaction (rt-PCR) suitable for the real-time tracking of Omicron subvariants in clinical and wastewater samples. Plasmids containing variant-specific mutations were used to develop a MeltArray assay. After a comprehensive evaluation of both analytical and clinical performance, the established assay was used to detect Omicron variants in clinical and wastewater samples, and the results were compared with those of next-generation sequencing (NGS) and droplet digital PCR (ddPCR). The MeltArray assay identified 14 variant-specific mutations, enabling the detection of five Omicron sublineages (BA.2*, BA.5.2*, BA.2.75*, BQ.1*, and XBB.1*) and eight subvariants (BF.7, BN.1, BR.2, BQ.1.1, XBB.1.5, XBB.1.16, XBB.1.9, and BA.4.6). The limit of detection (LOD) of the assay was 50 copies/reaction, and no cross-reactivity was observed with 15 other respiratory viruses. Using NGS as the reference method, the clinical evaluation of 232 swab samples exhibited a clinical sensitivity of > 95.12% (95% CI 89.77-97.75%) and a specificity of > 95.21% (95% CI, 91.15-97.46%). When used to evaluate the Omicron outbreak from late 2022 to early 2023, the MeltArray assay performed on 1408 samples revealed that the epidemic was driven by BA.5.2* (883, 62.71%) and BF.7 (525, 37.29%). Additionally, the MeltArray assay demonstrated potential for estimating variant abundance in wastewater samples. The MeltArray assay is a rapid and scalable method for identifying SARS-CoV-2 variants. Integrating this approach with NGS and ddPCR will improve variant surveillance capabilities and ensure preparedness for future variants.
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Affiliation(s)
- Ting Yan
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Rongrong Zheng
- Xiamen Centre for Disease Control and Prevention, Xiamen 361021, China; (R.Z.); (X.Z.)
| | - Yinghui Li
- Shenzhen Centre for Disease Control and Prevention, Shenzhen 518055, China; (Y.L.); (Z.Y.); (Q.H.)
| | - Siyang Sun
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Xiaohong Zeng
- Xiamen Centre for Disease Control and Prevention, Xiamen 361021, China; (R.Z.); (X.Z.)
| | - Zhijiao Yue
- Shenzhen Centre for Disease Control and Prevention, Shenzhen 518055, China; (Y.L.); (Z.Y.); (Q.H.)
| | - Yiqun Liao
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Qinghua Hu
- Shenzhen Centre for Disease Control and Prevention, Shenzhen 518055, China; (Y.L.); (Z.Y.); (Q.H.)
| | - Ye Xu
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Qingge Li
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
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5
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Ren R, Cai S, Fang X, Wang X, Zhang Z, Damiani M, Hudlerova C, Rosa A, Hope J, Cook NJ, Gorelkin P, Erofeev A, Novak P, Badhan A, Crone M, Freemont P, Taylor GP, Tang L, Edwards C, Shevchuk A, Cherepanov P, Luo Z, Tan W, Korchev Y, Ivanov AP, Edel JB. Multiplexed detection of viral antigen and RNA using nanopore sensing and encoded molecular probes. Nat Commun 2023; 14:7362. [PMID: 37963924 PMCID: PMC10646045 DOI: 10.1038/s41467-023-43004-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 10/27/2023] [Indexed: 11/16/2023] Open
Abstract
We report on single-molecule nanopore sensing combined with position-encoded DNA molecular probes, with chemistry tuned to simultaneously identify various antigen proteins and multiple RNA gene fragments of SARS-CoV-2 with high sensitivity and selectivity. We show that this sensing strategy can directly detect spike (S) and nucleocapsid (N) proteins in unprocessed human saliva. Moreover, our approach enables the identification of RNA fragments from patient samples using nasal/throat swabs, enabling the identification of critical mutations such as D614G, G446S, or Y144del among viral variants. In particular, it can detect and discriminate between SARS-CoV-2 lineages of wild-type B.1.1.7 (Alpha), B.1.617.2 (Delta), and B.1.1.539 (Omicron) within a single measurement without the need for nucleic acid sequencing. The sensing strategy of the molecular probes is easily adaptable to other viral targets and diseases and can be expanded depending on the application required.
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Affiliation(s)
- Ren Ren
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Shenglin Cai
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK.
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
| | - Xiaona Fang
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China
| | - Xiaoyi Wang
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
| | - Zheng Zhang
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China
| | - Micol Damiani
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
| | - Charlotte Hudlerova
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
| | - Annachiara Rosa
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
- Wolfson Education Centre, Faculty of Medicine, Imperial College London, London, UK
| | - Joshua Hope
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
| | - Nicola J Cook
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
| | - Peter Gorelkin
- National University of Science and Technology "MISIS", Leninskiy Prospect 4, 119991, Moscow, Russian Federation
| | - Alexander Erofeev
- National University of Science and Technology "MISIS", Leninskiy Prospect 4, 119991, Moscow, Russian Federation
| | - Pavel Novak
- ICAPPIC Limited, The Fisheries, Mentmore Terrace, London, E8 3PN, UK
| | - Anjna Badhan
- Molecular Diagnostic Unit, Section of Virology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Michael Crone
- Section of Structural and Synthetic Biology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Paul Freemont
- Section of Structural and Synthetic Biology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Graham P Taylor
- Molecular Diagnostic Unit, Section of Virology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Longhua Tang
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, 310027, Hangzhou, China
| | - Christopher Edwards
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
- ICAPPIC Limited, The Fisheries, Mentmore Terrace, London, E8 3PN, UK
| | - Andrew Shevchuk
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Peter Cherepanov
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
- Molecular Diagnostic Unit, Section of Virology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Zhaofeng Luo
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China
| | - Weihong Tan
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China.
| | - Yuri Korchev
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
- Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Aleksandar P Ivanov
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK.
| | - Joshua B Edel
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK.
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6
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Zelyas N, Pabbaraju K, Croxen MA, Lynch T, McCullough E, Murphy SA, Shokoples S, Wong A, Kanji JN, Tipples G. Tracking SARS-CoV-2 Omicron lineages using real-time reverse transcriptase PCR assays and prospective comparison with genome sequencing. Sci Rep 2023; 13:17478. [PMID: 37838804 PMCID: PMC10576821 DOI: 10.1038/s41598-023-44796-y] [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] [Received: 06/10/2023] [Accepted: 10/12/2023] [Indexed: 10/16/2023] Open
Abstract
Omicron has become the dominant SARS-CoV-2 variant globally since December 2021, with distinct waves being associated with separate Omicron sublineages. Rapid detection of BA.1, BA.2, BA.4, and BA.5 was accomplished in the province of Alberta, Canada, through the design and implementation of real-time reverse transcriptase PCR assays targeting S:N501Y, S:ins214EPE, S:H69/V70, ORF7b:L11F, and M:D3N. Using the combination of results for each of these markers, samples could be designated as belonging to sublineages within BA.1, BA.2, BA.4, or BA.5. The analytical sensitivity of these markers ranged from 132 to 2229 copies/mL and in-laboratory accuracy was 98.9-100%. A 97.3% agreement using 12,592 specimens was demonstrated for the assays compared to genome sequencing. The use of these assays, combined with genome sequencing, facilitated the surveillance of SARS-CoV-2 lineages throughout a BA.5-dominated period.
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Affiliation(s)
- Nathan Zelyas
- Alberta Precision Laboratories, Public Health Laboratory, Edmonton, AB, Canada.
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.
| | - Kanti Pabbaraju
- Alberta Precision Laboratories, Public Health Laboratory, Calgary, AB, Canada
| | - Matthew A Croxen
- Alberta Precision Laboratories, Public Health Laboratory, Edmonton, AB, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
- Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB, Canada
| | - Tarah Lynch
- Alberta Precision Laboratories, Public Health Laboratory, Calgary, AB, Canada
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Emily McCullough
- Alberta Precision Laboratories, Public Health Laboratory, Edmonton, AB, Canada
| | - Stephanie A Murphy
- Alberta Precision Laboratories, Public Health Laboratory, Edmonton, AB, Canada
- National Microbiology Laboratory, Public Health Agency of Canada, Edmonton, AB, Canada
| | - Sandy Shokoples
- Alberta Precision Laboratories, Public Health Laboratory, Edmonton, AB, Canada
| | - Anita Wong
- Alberta Precision Laboratories, Public Health Laboratory, Calgary, AB, Canada
| | - Jamil N Kanji
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
- Alberta Precision Laboratories, Public Health Laboratory, Calgary, AB, Canada
- Division of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Graham Tipples
- Alberta Precision Laboratories, Public Health Laboratory, Edmonton, AB, Canada
- Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB, Canada
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB, Canada
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7
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Krenn F, Dächert C, Badell I, Lupoli G, Öztan GN, Feng T, Schneider N, Huber M, Both H, Späth PM, Muenchhoff M, Graf A, Krebs S, Blum H, Durner J, Czibere L, Kaderali L, Keppler OT, Baldauf HM, Osterman A. Ten rapid antigen tests for SARS-CoV-2 widely differ in their ability to detect Omicron-BA.4 and -BA.5. Med Microbiol Immunol 2023; 212:323-337. [PMID: 37561225 PMCID: PMC10501931 DOI: 10.1007/s00430-023-00775-8] [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: 03/16/2023] [Accepted: 07/11/2023] [Indexed: 08/11/2023]
Abstract
Since late 2021, the variant landscape of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been dominated by the variant of concern (VoC) Omicron and its sublineages. We and others have shown that the detection of Omicron-BA.1 and -BA.2-positive respiratory specimens by rapid antigen tests (RATs) is impaired compared to Delta VoC-containing samples. Here, in a single-center retrospective laboratory study, we evaluated the performance of ten most commonly used RATs for the detection of Omicron-BA.4 and -BA.5 infections. We used 171 respiratory swab specimens from SARS-CoV-2 RNA-positive patients, of which 71 were classified as BA.4 and 100 as BA.5. All swabs were collected between July and September 2022. 50 SARS-CoV-2 PCR-negative samples from healthy individuals, collected in October 2022, showed high specificity in 9 out of 10 RATs. When assessing analytical sensitivity using clinical specimens, the 50% limit of detection (LoD50) ranged from 7.6 × 104 to 3.3 × 106 RNA copies subjected to the RATs for BA.4 compared to 6.8 × 104 to 3.0 × 106 for BA.5. Overall, intra-assay differences for the detection of these two Omicron subvariants were not significant for both respiratory swabs and tissue culture-expanded virus isolates. In contrast, marked heterogeneity was observed among the ten RATs: to be positive in these point-of-care tests, up to 443-fold (BA.4) and up to 56-fold (BA.5) higher viral loads were required for the worst performing RAT compared to the best performing RAT. True-positive rates for Omicron-BA.4- or -BA.5-containing specimens in the highest viral load category (Ct values < 25) ranged from 94.3 to 34.3%, dropping to 25.6 to 0% for samples with intermediate Ct values (25-30). We conclude that the high heterogeneity in the performance of commonly used RATs remains a challenge for the general public to obtain reliable results in the evolving Omicron subvariant-driven pandemic.
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Affiliation(s)
- Franziska Krenn
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Christopher Dächert
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site, Munich, Germany
| | - Irina Badell
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Gaia Lupoli
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Gamze Naz Öztan
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Tianle Feng
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Nikolas Schneider
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Melanie Huber
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Hanna Both
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Patricia M. Späth
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Maximilian Muenchhoff
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site, Munich, Germany
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU München, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | | | | | - Lars Kaderali
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Oliver T. Keppler
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site, Munich, Germany
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU München, Munich, Germany
| | - Hanna-Mari Baldauf
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Andreas Osterman
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
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8
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Diem G, Dichtl S, Zaderer V, Lass-Flörl C, Reindl M, Lupoli G, Dächert C, Muenchhoff M, Graf A, Blum H, Keppler OT, Wilflingseder D, Posch W. Salivary antibodies induced by BA.4/BA.5-convalescence or bivalent booster Immunoglobulin vaccination protect against novel SARS-COV-2 variants of concern. Microbiol Spectr 2023; 11:e0179323. [PMID: 37551989 PMCID: PMC10581068 DOI: 10.1128/spectrum.01793-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/28/2023] [Indexed: 08/09/2023] Open
Abstract
Currently, SARS-CoV-2 Omicron BA.5 subvariants BF.7 and BQ.1.1 are rapidly emerging worldwide. To evaluate the SARS-CoV-2-neutralizing capacity of sera and saliva from triple vaccinated individuals, either boosted with an adapted bivalent COVID-19 vaccine or recovered from BA.4/BA.5 infection, we analyzed the sensitivity of replication-competent SARS-CoV-2 Omicron subvariants BA.4/5, BQ.1.1 and BF.7 to neutralization. Analysis of SARS-CoV-2-specific IgGs and IgAs showed increased serum IgG titers in the vaccinated group, while the serum and salivary IgA levels were comparable. Similar and efficient serum neutralization against the ancestral strain of SARS-CoV-2 and Omicron BA.4/BA.5 was detected in both cohorts, but critically reduced for BQ.1.1 and BF.7. In contrast, salivary neutralization against BA.4/BA.5 was increased in the convalescent compared to the vaccinated group, while salivary neutralizing capacity against BQ.1.1 and BF.7 was comparable in these groups. Further, personalized protective effects studied in a human 3D respiratory model revealed the importance of salivary protection against different Omicron subvariants. IMPORTANCE In BA.4/BA.5-convalescent versus vaccinated groups, salivary neutralization capacity increased against SARS-CoV-2 Omicron BA.4/BA.5. In contrast, it neutralized novel Omicron subvariants BQ.1.1 and BF.7 similarly. Salivary protection against various Omicron subvariants was even more evident when tested in a personalized approach using highly differentiated respiratory human 3D models.
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Affiliation(s)
- Gabriel Diem
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefanie Dichtl
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Viktoria Zaderer
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Cornelia Lass-Flörl
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Markus Reindl
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gaia Lupoli
- Max von Pettenkofer Institute and Gene Center, Virology, LMU München, Munich, Germany
| | - Christopher Dächert
- Max von Pettenkofer Institute and Gene Center, Virology, LMU München, Munich, Germany
| | - Maximilian Muenchhoff
- Max von Pettenkofer Institute and Gene Center, Virology, LMU München, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Oliver T. Keppler
- Max von Pettenkofer Institute and Gene Center, Virology, LMU München, Munich, Germany
| | - Doris Wilflingseder
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Wilfried Posch
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
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9
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Li Y, Chen J, Wei J, Liu X, Yu L, Yu L, Ding D, Yang Y. Metallic nanoplatforms for COVID-19 diagnostics: versatile applications in the pandemic and post-pandemic era. J Nanobiotechnology 2023; 21:255. [PMID: 37542245 PMCID: PMC10403867 DOI: 10.1186/s12951-023-01981-5] [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: 03/04/2023] [Accepted: 07/03/2023] [Indexed: 08/06/2023] Open
Abstract
The COVID-19 pandemic, which originated in Hubei, China, in December 2019, has had a profound impact on global public health. With the elucidation of the SARS-CoV-2 virus structure, genome type, and routes of infection, a variety of diagnostic methods have been developed for COVID-19 detection and surveillance. Although the pandemic has been declared over, we are still significantly affected by it in our daily lives in the post-pandemic era. Among the various diagnostic methods, nanomaterials, especially metallic nanomaterials, have shown great potential in the field of bioanalysis due to their unique physical and chemical properties. This review highlights the important role of metallic nanosensors in achieving accurate and efficient detection of COVID-19 during the pandemic outbreak and spread. The sensing mechanisms of each diagnostic device capable of analyzing a range of targets, including viral nucleic acids and various proteins, are described. Since SARS-CoV-2 is constantly mutating, strategies for dealing with new variants are also suggested. In addition, we discuss the analytical tools needed to detect SARS-CoV-2 variants in the current post-pandemic era, with a focus on achieving rapid and accurate detection. Finally, we address the challenges and future directions of metallic nanomaterial-based COVID-19 detection, which may inspire researchers to develop advanced biosensors for COVID-19 monitoring and rapid response to other virus-induced pandemics based on our current achievements.
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Affiliation(s)
- Yuqing Li
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Mate-Rials & Devices, Soochow University, Suzhou, 215123, China
| | - Jingqi Chen
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Jinchao Wei
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Xueliang Liu
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Lu Yu
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Linqi Yu
- Department of Immunization Program, Jing'an District Center for Disease Control and Prevention, Shanghai, 200072, China.
| | - Ding Ding
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Yu Yang
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China.
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10
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Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
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Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
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11
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Rasheed MK, Awrahman HA, Amin Al‐Jaf SM, Niranji SS. Identification of SARS CoV‐2 Omicron BA.1 and a novel Delta lineage by rapid methods and partial spike protein sequences in Sulaymaniyah Province, Iraq. Immun Inflamm Dis 2023; 11:e801. [PMID: 36988244 PMCID: PMC10022420 DOI: 10.1002/iid3.801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/22/2022] [Accepted: 02/09/2023] [Indexed: 03/19/2023] Open
Abstract
Background Five variants of concern (VOCs) of severe acute respiratory syndrome coronavirus 2 (SARS CoV‐2) have been globally recorded including Alpha, Beta, Gamma, Delta, and Omicron. The Omicron variant has outcompeted the other variants including the Delta variant. Molecular screenings of VOCs are important for surveillance, treatment, and vaccination programs. This study aimed to identify VOCs by using rapid inexpensive methods and partial sequencing of the virus's spike gene. Methods Mutation‐specific rRT PCR probes were used for both D614G and K417N mutations to potentially discriminate between Delta and Omicron variants. These were followed by sequencing of a fragment of spike gene (748 nucleotides), which covers the most notable VOC mutations in the receptor binding domain of SARS CoV‐2. Results Rapid methods showed that out of 24 SARS CoV‐2 positive samples, 19 carried the N417 mutation, which is present in the Omicron variant. Furthermore, 3 samples carried K417 wildtype, which is present in the Delta variant. Additionally, 2 samples containing both K417 and N417 suggested mixed infections between the two variants. The D614G mutation was present in all samples. Among the 4 samples sequenced, 3 samples carried 13 mutations, which are present in Omicron BA.1. The fourth sample contained the two common mutations (T478K and L452R) present in Delta, in addition to two more rare mutations (F456L and F490S), which are not commonly seen in Delta. Our data suggested that both Omicron variant BA.1 and a novel Delta variant might have circulated in this region that needs further investigations.
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Affiliation(s)
- Mariwan Kadir Rasheed
- College of Health ScienceUniversity of Human DevelopmentSulaymaniyahIraq,Sulaimani Veterinary DirectorateSulaimaniIraq
| | - Harem Abdalla Awrahman
- Hiwa Hospital, Sulaymaniyah General Directory of HealthMinistry of HealthSulaymaniyahIraq
| | - Sirwan M. Amin Al‐Jaf
- College of MedicineUniversity of GarmianKalarIraq,Coronavirus Research and Identification LabUniversity of GarmianKalarIraq
| | - Sherko S. Niranji
- College of MedicineUniversity of GarmianKalarIraq,Coronavirus Research and Identification LabUniversity of GarmianKalarIraq
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12
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Mohapatra RK, Verma S, Kandi V, Sarangi AK, Seidel V, Das SN, Behera A, Tuli HS, Sharma AK, Dhama K. The SARS‐CoV‐2 Omicron Variant and its Multiple Sub‐lineages: Transmissibility, Vaccine Development, Antiviral Drugs, Monoclonal Antibodies, and Strategies for Infection Control – a Review. ChemistrySelect 2023. [DOI: 10.1002/slct.202201380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Affiliation(s)
- Ranjan K. Mohapatra
- Department of Chemistry Government College of Engineering Keonjhar 758002 Odisha India
| | - Sarika Verma
- Council of Scientific and Industrial Research-Advanced Materials and Processes Research Institute Bhopal MP 462026 India
- Academy of council Scientific and Industrial Research - Advanced Materials and Processes Research Institute (AMPRI) Hoshangabad Road Bhopal (M.P) 462026 India
| | - Venkataramana Kandi
- Department of Microbiology Prathima Institute of Medical Sciences Karimnagar 505417 Telangana India
| | - Ashish K. Sarangi
- Department of Chemistry School of Applied Sciences Centurion University of Technology and Management Odisha India
| | - Veronique Seidel
- Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde Glasgow G4 0RE United Kingdom
| | - Subrata Narayan Das
- Department of Mining Engineering Government College of Engineering Keonjhar 758002 Odisha India
| | - Ajit Behera
- Department of Metallurgical & Materials Engineering National Institute of Technology Rourkela 769008 India
| | - Hardeep Singh Tuli
- Department of Biotechnology Maharishi MarkandeshwarEngineering College Maharishi MarkandeshwarDeemed to be University, Mullana Ambala, 133207 Haryana India
| | - Ashwani K. Sharma
- Department of Chemistry Government Digvijay (Autonomous) Post-Graduate College Rajnandgaon (C.G. India
| | - Kuldeep Dhama
- Division of Pathology ICAR-Indian Veterinary Research Institute Bareilly
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13
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Osterman A, Badell I, Dächert C, Schneider N, Kaufmann AY, Öztan GN, Huber M, Späth PM, Stern M, Autenrieth H, Muenchhoff M, Graf A, Krebs S, Blum H, Czibere L, Durner J, Kaderali L, Baldauf HM, Keppler OT. Variable detection of Omicron-BA.1 and -BA.2 by SARS-CoV-2 rapid antigen tests. Med Microbiol Immunol 2023; 212:13-23. [PMID: 36370197 PMCID: PMC9660148 DOI: 10.1007/s00430-022-00752-7] [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: 10/14/2022] [Accepted: 10/22/2022] [Indexed: 11/15/2022]
Abstract
During 2022, the COVID-19 pandemic has been dominated by the variant of concern (VoC) Omicron (B.1.1.529) and its rapidly emerging subvariants, including Omicron-BA.1 and -BA.2. Rapid antigen tests (RATs) are part of national testing strategies to identify SARS-CoV-2 infections on site in a community setting or to support layman's diagnostics at home. We and others have recently demonstrated an impaired RAT detection of infections caused by Omicron-BA.1 compared to Delta. Here, we evaluated the performance of five SARS-CoV-2 RATs in a single-centre laboratory study examining a total of 140 SARS-CoV-2 PCR-positive respiratory swab samples, 70 Omicron-BA.1 and 70 Omicron-BA.2, as well as 52 SARS-CoV-2 PCR-negative swabs collected from March 8th until April 10th, 2022. One test did not meet minimal criteria for specificity. In an assessment of the analytical sensitivity in clinical specimen, the 50% limit of detection (LoD50) ranged from 4.2 × 104 to 9.2 × 105 RNA copies subjected to the RAT for Omicron-BA.1 compared to 1.3 × 105 to 1.5 × 106 for Omicron-BA.2. Overall, intra-assay differences for the detection of Omicron-BA.1-containing and Omicron-BA.2-containing samples were non-significant, while a marked overall heterogeneity among the five RATs was observed. To score positive in these point-of-care tests, up to 22-fold (LoD50) or 68-fold (LoD95) higher viral loads were required for the worst performing compared to the best performing RAT. The rates of true-positive test results for these Omicron subvariant-containing samples in the highest viral load category (Ct values < 25) ranged between 44.7 and 91.1%, while they dropped to 8.7 to 22.7% for samples with intermediate Ct values (25-30). In light of recent reports on the emergence of two novel Omicron-BA.2 subvariants, Omicron-BA.2.75 and BJ.1, awareness must be increased for the overall reduced detection rate and marked differences in RAT performance for these Omicron subvariants.
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Affiliation(s)
- Andreas Osterman
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Irina Badell
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Christopher Dächert
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Nikolas Schneider
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Anna-Yasemin Kaufmann
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Gamze Naz Öztan
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Melanie Huber
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Patricia M Späth
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Marcel Stern
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Hanna Autenrieth
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Maximilian Muenchhoff
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU München, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | | | - Jürgen Durner
- Labor Becker MVZ GbR, Munich, Germany
- Department of Conservative Dentistry and Periodontology, University Hospital, LMU München, Munich, Germany
| | - Lars Kaderali
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Hanna-Mari Baldauf
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
| | - Oliver T Keppler
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU München, Munich, Germany.
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14
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Niranji SS, Amin Al‐Jaf SM. In response to: Disease severity and efficacy of homologous vaccination among patients infected with SARS-CoV-2 Delta or Omicron VOCs, compared to unvaccinated using main biomarkers. J Med Virol 2023; 95:e28213. [PMID: 36224626 PMCID: PMC9874565 DOI: 10.1002/jmv.28213] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 10/10/2022] [Indexed: 01/28/2023]
Affiliation(s)
- Sherko S. Niranji
- College of MedicineUniversity of GarmianKalarIraq,Coronavirus Research and Identification LabUniversity of GarmianKalarIraq
| | - Sirwan M. Amin Al‐Jaf
- College of MedicineUniversity of GarmianKalarIraq,Coronavirus Research and Identification LabUniversity of GarmianKalarIraq
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15
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Capraru ID, Romanescu M, Anghel FM, Oancea C, Marian C, Sirbu IO, Chis AR, Ciordas PD. Identification of Genomic Variants of SARS-CoV-2 Using Nanopore Sequencing. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58121841. [PMID: 36557043 PMCID: PMC9788413 DOI: 10.3390/medicina58121841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/11/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
Background and Objectives: SARS-CoV-2 is the first global threat and life-changing event of the twenty-first century. Although efficient treatments and vaccines have been developed, due to the virus's ability to mutate in key regions of the genome, whole viral genome sequencing is needed for efficient monitoring, evaluation of the spread, and even the adjustment of the molecular diagnostic assays. Materials and Methods: In this study, Nanopore and Ion Torrent sequencing technologies were used to detect the main SARS-CoV-2 circulating strains in Timis County, Romania, between February 2021 and May 2022. Results: We identified 22 virus lineages belonging to seven clades: 20A, 20I (Alpha, V1), 21B (Kappa), 21I (Delta), 21J (Delta), 21K (Omicron), and 21L (Omicron). Conclusions: Results obtained with both methods are comparable, and we confirm the utility of Nanopore sequencing in large-scale epidemiological surveillance due to the lower cost and reduced time for library preparation.
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Affiliation(s)
- Ionut Dragos Capraru
- Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Public Health Authority Timiș County, 300029 Timișoara, Romania
| | - Mirabela Romanescu
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
| | - Flavia Medana Anghel
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
| | - Cristian Oancea
- Discipline of Pulmonology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
| | - Catalin Marian
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
| | - Ioan Ovidiu Sirbu
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
| | - Aimee Rodica Chis
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
- Correspondence:
| | - Paula Diana Ciordas
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Discipline of Biochemistry, “Victor Babes” University of Medicine and Pharmacy, 300041 Timișoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timişoara, Romania
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16
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Zhu Y, Zhang M, Jie Z, Tao S. Nucleic acid testing of SARS-CoV-2: A review of current methods, challenges, and prospects. Front Microbiol 2022; 13:1074289. [PMID: 36569096 PMCID: PMC9780671 DOI: 10.3389/fmicb.2022.1074289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/25/2022] [Indexed: 12/13/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has brought a huge threat to public health and the global economy. Rapid identification and isolation of SARS-CoV-2-infected individuals are regarded as one of the most effective measures to control the pandemic. Because of its high sensitivity and specificity, nucleic acid testing has become the major method of SARS-CoV-2 detection. A deep understanding of different diagnosis methods for COVID-19 could help researchers make an optimal choice in detecting COVID-19 at different symptom stages. In this review, we summarize and evaluate the latest developments in current nucleic acid detection methods for SARS-CoV-2. In particular, we discuss biosensors and CRISPR-based diagnostic systems and their characteristics and challenges. Furthermore, the emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis are systematically introduced and discussed. Considering the disease dynamics, we also recommend optional diagnostic tests for different symptom stages. From sample preparation to results readout, we conclude by pointing out the pain points and future directions of COVID-19 detection.
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Affiliation(s)
- Yuanshou Zhu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Zhang
- Department of Pulmonary and Critical Care Medicine, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Zhijun Jie
- Department of Pulmonary and Critical Care Medicine, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China,Center of Community-Based Health Research, Fudan University, Shanghai, China,*Correspondence: Zhijun Jie,
| | - Shengce Tao
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China,Shengce Tao,
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17
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Farahat RA, Abdelaal A, Umar TP, El-Sakka AA, Benmelouka AY, Albakri K, Ali I, Al-Ahdal T, Abdelazeem B, Sah R, Rodriguez-Morales AJ. The emergence of SARS-CoV-2 Omicron subvariants: current situation and future trends. LE INFEZIONI IN MEDICINA 2022; 30:480-494. [PMID: 36482957 PMCID: PMC9714996 DOI: 10.53854/liim-3004-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/03/2022] [Indexed: 12/12/2022]
Abstract
The SARS-CoV-2 Omicron variant (B.1.1.529) has been the most recent variant of concern (VOC) established by the World Health Organization (WHO). Because of its greater infectivity and immune evasion, this variant quickly became the dominant type of circulating SARS-CoV-2 worldwide. Our literature review thoroughly explains the current state of Omicron emergence, particularly by comparing different omicron subvariants, including BA.2, BA.1, and BA.3. Such elaboration would be based on structural variations, mutations, clinical manifestation, transmissibility, pathogenicity, and vaccination effectiveness. The most notable difference between the three subvariants is the insufficiency of deletion (Δ69-70) in the spike protein, which results in a lower detection rate of the spike (S) gene target known as (S) gene target failure (SGTF). Furthermore, BA.2 had a stronger affinity to the human Angiotensin-converting Enzyme (hACE2) receptor than other Omicron sub-lineages. Regarding the number of mutations, BA.1.1 has the most (40), followed by BA.1, BA.3, and BA.3 with 39, 34, and 31 mutations, respectively. In addition, BA.2 and BA.3 have greater transmissibility than other sub-lineages (BA.1 and BA.1.1). These characteristics are primarily responsible for Omicron's vast geographical spread and high contagiousness rates, particularly BA.2 sub-lineages.
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Affiliation(s)
| | - Abdelaziz Abdelaal
- Harvard Medical School, Boston, MA,
USA,Boston University, MA,
USA,General Practitioner, Tanta University Hospitals,
Egypt
| | | | | | | | - Khaled Albakri
- Faculty of Medicine, The Hashemite University, Zarqa,
Jordan
| | - Iftikhar Ali
- Department of Pharmacy, Paraplegic Center, Peshawar,
Pakistan
| | - Tareq Al-Ahdal
- Institute of Global Health (HIGH), Heidelberg University, Heidelberg,
Germany
| | - Basel Abdelazeem
- Department of Internal Medicine, McLaren Health Care, Flint, Michigan,
USA,Department of Internal Medicine, Michigan State University, East Lansing, Michigan,
USA
| | - Ranjit Sah
- Department of Microbiology, Tribhuvan University Teaching Hospital, Institute of Medicine, Kathmandu,
Nepal,Dr. D.Y Patil Medical College, Hospital and Research Centre, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra,
India
| | - Alfonso J. Rodriguez-Morales
- Grupo de Investigación Biomedicina, Faculty of Medicine, Fundación Universitaria Autónoma de Las Américas, Pereira, Risaralda,
Colombia,Faculty of Medicine, Institución Universitaria Vision de Las Americas, Pereira, Risaralda,
Colombia,Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut P.O. Box 36,
Lebanon,Master of Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima,
Perú
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18
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Daviña-Nuñez C, Pérez-Castro S, Martínez-Lamas L, Cabrera-Alvargonzález JJ, Rey-Cao S, Carballo-Fernandez R, Godoy-Diz M, López-Bóveda L, Del Campo-Pérez V, Suárez-Luque S, Regueiro-García B. Case report: BA.1 subvariant showing a BA.2-like pattern using a variant-specific PCR assay due to a single point mutation downstream the spike 69/70 deletion. Virol J 2022; 19:168. [PMID: 36303187 PMCID: PMC9610356 DOI: 10.1186/s12985-022-01883-2] [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: 06/06/2022] [Accepted: 09/07/2022] [Indexed: 11/17/2022] Open
Abstract
Background: SARS-CoV-2 variant tracking is key to the genomic surveillance of the COVID-19 pandemic. While next-generation sequencing (NGS) is commonly used for variant determination, it is expensive and time-consuming. Variant-specific PCR (vsPCR) is a faster, cheaper method that detects specific mutations that are considered variant-defining. These tests usually rely on specific amplification when a mutation is present or a specific melting temperature peak after amplification. Case presentation: A discrepant result between vsPCR and NGS was found in seventeen SARS-CoV-2 samples from Galicia, Spain. A cluster of BA.1 Omicron SARS-CoV-2 variant showed a BA.2-like melting temperature pattern due to a point mutation (C21772T) downstream the deletion of the spike amino acids 69/70. As the 69/70 deletion is widely used for differentiation between BA.1 and BA.2 by vsPCR, C21772T can cause BA.1 samples to be misinterpreted as BA.2. Over a thousand BA.1 sequences in the EpiCoV database contain this mutation. Conclusions: To our knowledge, this is the first case of a point mutation causing a vsPCR algorithm to misclassify BA.1 samples as BA.2. This is an example of how mutations in the probe target area of vsPCR tests based on melting curve analysis can lead to variant misclassification. NGS confirmation of vsPCR results is relevant for the accuracy of the epidemiological surveillance. In order to overcome the possible impact of novel mutations, diagnostic tools must be constantly updated. Supplementary Information The online version contains supplementary material available at 10.1186/s12985-022-01883-2.
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Affiliation(s)
- Carlos Daviña-Nuñez
- Universidade de Vigo. Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
| | - Sonia Pérez-Castro
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur). Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
| | - Lucía Martínez-Lamas
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur). Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Jorge Julio Cabrera-Alvargonzález
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur). Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Sonia Rey-Cao
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur). Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | | | - Montse Godoy-Diz
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Leticia López-Bóveda
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Victor Del Campo-Pérez
- Rheumatology and Immune-mediated Diseases Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur). Preventive Medicine Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Silvia Suárez-Luque
- Dirección Xeral de Saúde Pública, Xunta de Galicia, Consellería de Sanidade, Santiago de Compostela, A Coruña, Spain
| | - Benito Regueiro-García
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
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19
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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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20
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Mengist HM, Kombe Kombe JA, Jin T. Immune Evasion by the Highly Mutated SARS-CoV-2 Omicron Variant. Infect Drug Resist 2022. [DOI: 10.2147/idr.s366437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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21
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Osterman A, Badell I, Basara E, Stern M, Kriesel F, Eletreby M, Öztan GN, Huber M, Autenrieth H, Knabe R, Späth PM, Muenchhoff M, Graf A, Krebs S, Blum H, Durner J, Czibere L, Dächert C, Kaderali L, Baldauf HM, Keppler OT. Impaired detection of omicron by SARS-CoV-2 rapid antigen tests. Med Microbiol Immunol 2022; 211:105-117. [PMID: 35187580 PMCID: PMC8858605 DOI: 10.1007/s00430-022-00730-z] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 02/12/2022] [Indexed: 01/25/2023]
Abstract
Since autumn 2020, rapid antigen tests (RATs) have been implemented in several countries as an important pillar of the national testing strategy to rapidly screen for infections on site during the SARS-CoV-2 pandemic. The current surge in infection rates around the globe is driven by the variant of concern (VoC) omicron (B.1.1.529). Here, we evaluated the performance of nine SARS-CoV-2 RATs in a single-centre laboratory study. We examined a total of 115 SARS-CoV-2 PCR-negative and 166 SARS-CoV-2 PCR-positive respiratory swab samples (101 omicron, 65 delta (B.1.617.2)) collected from October 2021 until January 2022 as well as cell culture-expanded clinical isolates of both VoCs. In an assessment of the analytical sensitivity in clinical specimen, the 50% limit of detection (LoD50) ranged from 1.77 × 106 to 7.03 × 107 RNA copies subjected to the RAT for omicron compared to 1.32 × 105 to 2.05 × 106 for delta. To score positive in these point-of-care tests, up to 10-fold (LoD50) or 101-fold (LoD95) higher virus loads were required for omicron- compared to delta-containing samples. The rates of true positive test results for omicron samples in the highest virus load category (Ct values < 25) ranged between 31.4 and 77.8%, while they dropped to 0-8.3% for samples with intermediate Ct values (25-30). Of note, testing of expanded virus stocks suggested a comparable RAT sensitivity of both VoCs, questioning the predictive value of this type of in vitro-studies for clinical performance. Given their importance for national test strategies in the current omicron wave, awareness must be increased for the reduced detection rate of omicron infections by RATs and a short list of suitable RATs that fulfill the minimal requirements of performance should be rapidly disclosed.
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Affiliation(s)
- Andreas Osterman
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Irina Badell
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Elif Basara
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Marcel Stern
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Fabian Kriesel
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Marwa Eletreby
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Gamze Naz Öztan
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Melanie Huber
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Hanna Autenrieth
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Ricarda Knabe
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Patricia M Späth
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
| | - Maximilian Muenchhoff
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site, Munich, Germany
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Jürgen Durner
- Labor Becker MVZ GbR, Munich, Germany
- Department of Conservative Dentistry and Periodontology, University Hospital, LMU München, Goethestr. 70, 80336, Munich, Germany
| | | | - Christopher Dächert
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site, Munich, Germany
| | - Lars Kaderali
- Institute of Bioinformatics, University Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475, Greifswald, Germany.
| | - Hanna-Mari Baldauf
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany.
| | - Oliver T Keppler
- Max Von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Feodor-Lynen-Str. 23, 81377, Munich, Germany.
- German Center for Infection Research (DZIF), Partner Site, Munich, Germany.
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.
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22
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Mohapatra RK, Kandi V, Verma S, Dhama K. Challenges of the Omicron (B.1.1.529) Variant and Its Lineages: A Global Perspective. Chembiochem 2022; 23:e202200059. [PMID: 35322516 PMCID: PMC9083815 DOI: 10.1002/cbic.202200059] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/28/2022] [Indexed: 01/01/2023]
Abstract
The SARS-CoV-2 virus has shown increased ability to mutate over the past two years, especially in the regions of the spike protein and receptor binding sites. Omicron (B.1.1.529) is the fifth variant of concern (VOC) after the emergence of the Alpha, Beta, Gamma, and Delta VOCs of SARS-CoV-2. This new variant has now circulated in 128 countries and according to the Global Initiative on Sharing All Influenza Data (GISAID), these 128 countries have shared 650,657 Omicron genome sequences as of 26 January, 2022. In this article, we highlight the real challenges of Omicron and its different lineages.
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Affiliation(s)
- Ranjan K. Mohapatra
- Department of ChemistryGovernment College of EngineeringKeonjhar758002OdishaIndia
| | - Venkataramana Kandi
- Department of MicrobiologyPrathima Institute of Medical SciencesKarimnagar505417TelanganaIndia
| | - Sarika Verma
- Council of Scientific and Industrial Research-Advanced Materials and Processes Research InstituteBhopal(MP) 462026India
- Academy of council Scientific and Industrial Research-Advanced Materials and Processes Research Institute (AMPRI)Hoshangabad RoadBhopal(M.P) 462026India
| | - Kuldeep Dhama
- Division of PathologyICAR-Indian Veterinary Research InstituteBareillyIndia
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23
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Niu M, Han Y, Dong X, Yang L, Li F, Zhang Y, Hu Q, Xia X, Li H, Sun Y. Highly Sensitive Detection Method for HV69-70del in SARS-CoV-2 Alpha and Omicron Variants Based on CRISPR/Cas13a. Front Bioeng Biotechnol 2022; 10:831332. [PMID: 35497364 PMCID: PMC9039052 DOI: 10.3389/fbioe.2022.831332] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/21/2022] [Indexed: 11/21/2022] Open
Abstract
As SARS-CoV-2 variants continue to evolve, identifying variants with adaptive diagnostic tool is critical to containing the ongoing COVID-19 pandemic. Herein, we establish a highly sensitive and portable on-site detection method for the HV69-70del which exist in SARS-CoV-2 Alpha and Omicron variants using a PCR-based CRISPR/Cas13a detection system (PCR-CRISPR). The specific crRNA (CRISPR RNA) targeting the HV69-70del is screened using the fluorescence-based CRISPR assay, and the sensitivity and specificity of this method are evaluated using diluted nucleic acids of SARS-CoV-2 variants and other pathogens. The results show that the PCR-CRISPR detection method can detect 1 copies/μL SARS-CoV-2 HV69-70del mutant RNA and identify 0.1% of mutant RNA in mixed samples, which is more sensitive than the RT-qPCR based commercial SARS-CoV-2 variants detection kits and sanger sequencing. And it has no cross reactivity with ten other pathogens nucleic acids. Additionally, by combined with our previously developed ERASE (Easy-Readout and Sensitive Enhanced) lateral flow strip suitable for CRISPR detection, we provide a novel diagnosis tool to identify SARS-CoV-2 variants in primary and resource-limited medical institutions without professional and expensive fluorescent detector.
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Affiliation(s)
- Mengwei Niu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Yao Han
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xue Dong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Lan Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Fan Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Youcui Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Qiang Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xueshan Xia
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Hao Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yansong Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
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