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Dyshlovoy SA, Paigin S, Afflerbach AK, Lobermeyer A, Werner S, Schüller U, Bokemeyer C, Schuh AH, Bergmann L, von Amsberg G, Joosse SA. Applications of Nanopore sequencing in precision cancer medicine. Int J Cancer 2024; 155:2129-2140. [PMID: 39031959 DOI: 10.1002/ijc.35100] [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: 03/09/2024] [Revised: 04/25/2024] [Accepted: 06/25/2024] [Indexed: 07/22/2024]
Abstract
Oxford Nanopore Technologies sequencing, also referred to as Nanopore sequencing, stands at the forefront of a revolution in clinical genetics, offering the potential for rapid, long read, and real-time DNA and RNA sequencing. This technology is currently making sequencing more accessible and affordable. In this comprehensive review, we explore its potential regarding precision cancer diagnostics and treatment. We encompass a critical analysis of clinical cases where Nanopore sequencing was successfully applied to identify point mutations, splice variants, gene fusions, epigenetic modifications, non-coding RNAs, and other pivotal biomarkers that defined subsequent treatment strategies. Additionally, we address the challenges of clinical applications of Nanopore sequencing and discuss the current efforts to overcome them.
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Affiliation(s)
- Sergey A Dyshlovoy
- Department of Oncology, Oxford Molecular Diagnostics Centre, University of Oxford, Level 4, John Radcliffe Hospital, Oxford, UK
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefanie Paigin
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Ann-Kristin Afflerbach
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annabelle Lobermeyer
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Werner
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Institute for Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Paediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carsten Bokemeyer
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna H Schuh
- Department of Oncology, Oxford Molecular Diagnostics Centre, University of Oxford, Level 4, John Radcliffe Hospital, Oxford, UK
| | - Lina Bergmann
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gunhild von Amsberg
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Martini-Klinik, Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simon A Joosse
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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2
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Tshiabuila D, Choga W, San JE, Maponga T, Van Zyl G, Giandhari J, Pillay S, Preiser W, Naidoo Y, Baxter C, Martin DP, de Oliveira T. An Oxford Nanopore Technology-Based Hepatitis B Virus Sequencing Protocol Suitable for Genomic Surveillance Within Clinical Diagnostic Settings. Int J Mol Sci 2024; 25:11702. [PMID: 39519254 PMCID: PMC11546910 DOI: 10.3390/ijms252111702] [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: 10/02/2024] [Revised: 10/20/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024] Open
Abstract
Chronic Hepatitis B Virus (HBV) infection remains a significant public health concern, particularly in Africa, where the burden is substantial. HBV is an enveloped virus, classified into ten phylogenetically distinct genotypes (A-J). Tests to determine HBV genotypes are based on full-genome sequencing or reverse hybridization. In practice, both approaches have limitations. Whereas diagnostic sequencing, generally using the Sanger approach, tends to focus only on the S-gene and yields little or no information on intra-patient HBV genetic diversity, reverse hybridization detects only known genotype-specific mutations. To resolve these limitations, we developed an Oxford Nanopore Technology (ONT)-based HBV diagnostic sequencing protocol suitable for clinical virology that yields both complete genome sequences and extensive intra-patient HBV diversity data. Specifically, the protocol involves tiling-based PCR amplification of HBV sequences, library preparation using the ONT Rapid Barcoding Kit (Oxford nanopore Technologies, Oxford, OX4 4DQ, UK), ONT GridION sequencing, genotyping using genome detective software v1.132/1.133, a recombination analysis using jpHMM (26 October 2011 version) and RDP5.61 software, and drug resistance profiling using Geno2pheno v2.0 software. We prove the utility of our protocol by efficiently generating and characterizing high-quality near full-length HBV genomes from 148 residual diagnostic samples from HBV-infected patients in the Western Cape province of South Africa, providing valuable insights into the genetic diversity and epidemiology of HBV in this region of the world.
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Affiliation(s)
- Derek Tshiabuila
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, Stellenbosch 7600, South Africa; (W.C.); (Y.N.); (C.B.); (T.d.O.)
| | - Wonderful Choga
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, Stellenbosch 7600, South Africa; (W.C.); (Y.N.); (C.B.); (T.d.O.)
| | - James E. San
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA;
| | - Tongai Maponga
- Division of Medical Virology, National Health Laboratory Service Tygerberg, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (T.M.); (G.V.Z.)
| | - Gert Van Zyl
- Division of Medical Virology, National Health Laboratory Service Tygerberg, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (T.M.); (G.V.Z.)
| | - Jennifer Giandhari
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban 4001, South Africa; (J.G.); (S.P.)
| | - Sureshnee Pillay
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban 4001, South Africa; (J.G.); (S.P.)
| | - Wolfgang Preiser
- Division of Medical Virology, National Health Laboratory Service Tygerberg, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa; (T.M.); (G.V.Z.)
| | - Yeshnee Naidoo
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, Stellenbosch 7600, South Africa; (W.C.); (Y.N.); (C.B.); (T.d.O.)
| | - Cheryl Baxter
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, Stellenbosch 7600, South Africa; (W.C.); (Y.N.); (C.B.); (T.d.O.)
| | - Darren P. Martin
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town 8000, South Africa;
| | - Tulio de Oliveira
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, Stellenbosch 7600, South Africa; (W.C.); (Y.N.); (C.B.); (T.d.O.)
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban 4001, South Africa; (J.G.); (S.P.)
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3
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Ji CM, Feng XY, Huang YW, Chen RA. The Applications of Nanopore Sequencing Technology in Animal and Human Virus Research. Viruses 2024; 16:798. [PMID: 38793679 PMCID: PMC11125791 DOI: 10.3390/v16050798] [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: 03/20/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
In recent years, an increasing number of viruses have triggered outbreaks that pose a severe threat to both human and animal life, as well as caused substantial economic losses. It is crucial to understand the genomic structure and epidemiology of these viruses to guide effective clinical prevention and treatment strategies. Nanopore sequencing, a third-generation sequencing technology, has been widely used in genomic research since 2014. This technology offers several advantages over traditional methods and next-generation sequencing (NGS), such as the ability to generate ultra-long reads, high efficiency, real-time monitoring and analysis, portability, and the ability to directly sequence RNA or DNA molecules. As a result, it exhibits excellent applicability and flexibility in virus research, including viral detection and surveillance, genome assembly, the discovery of new variants and novel viruses, and the identification of chemical modifications. In this paper, we provide a comprehensive review of the development, principles, advantages, and applications of nanopore sequencing technology in animal and human virus research, aiming to offer fresh perspectives for future studies in this field.
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Affiliation(s)
- Chun-Miao Ji
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Xiao-Yin Feng
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Yao-Wei Huang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
- Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China
| | - Rui-Ai Chen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
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4
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Diaz J, Sears J, Chang CK, Burdick J, Law I, Sanders W, Linnertz C, Sylvester P, Moorman N, Ferris MT, Heise MT. U-CAN-seq: A Universal Competition Assay by Nanopore Sequencing. Viruses 2024; 16:636. [PMID: 38675976 PMCID: PMC11054411 DOI: 10.3390/v16040636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/09/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
RNA viruses quickly evolve subtle genotypic changes that can have major impacts on viral fitness and host range, with potential consequences for human health. It is therefore important to understand the evolutionary fitness of novel viral variants relative to well-studied genotypes of epidemic viruses. Competition assays are an effective and rigorous system with which to assess the relative fitness of viral genotypes. However, it is challenging to quickly and cheaply distinguish and quantify fitness differences between very similar viral genotypes. Here, we describe a protocol for using reverse transcription PCR in combination with commercial nanopore sequencing services to perform competition assays on untagged RNA viruses. Our assay, called the Universal Competition Assay by Nanopore Sequencing (U-CAN-seq), is relatively cheap and highly sensitive. We used a well-studied N24A mutation in the chikungunya virus (CHIKV) nsp3 gene to confirm that we could detect a competitive disadvantage using U-CAN-seq. We also used this approach to show that mutations to the CHIKV 5' conserved sequence element that disrupt sequence but not structure did not affect the fitness of CHIKV. However, similar mutations to an adjacent CHIKV stem loop (SL3) did cause a fitness disadvantage compared to wild-type CHIKV, suggesting that structure-independent, primary sequence determinants in this loop play an important role in CHIKV biology. Our novel findings illustrate the utility of the U-CAN-seq competition assay.
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Affiliation(s)
- Jennifer Diaz
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; (J.D.)
| | - John Sears
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; (J.D.)
| | - Che-Kang Chang
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; (J.D.)
| | - Jane Burdick
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Isabella Law
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Wes Sanders
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; (J.D.)
| | - Colton Linnertz
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Paul Sylvester
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Nathaniel Moorman
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; (J.D.)
- The Rapidly Emerging Antiviral Drug Development Initiative (READDI), Chapel Hill, NC 275114, USA
| | - Martin T. Ferris
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Mark T. Heise
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; (J.D.)
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
- The Rapidly Emerging Antiviral Drug Development Initiative (READDI), Chapel Hill, NC 275114, USA
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Tran DH, Do HDK, Tran HT, Pham TNM, Nguyen HD, Linh HT, Cuong HQ, Vu MT, Phung HTT. Rapid identification of SARS-CoV-2 strains via isothermal enzymatic recombinase amplification and nanopore sequencing. Arch Virol 2024; 169:87. [PMID: 38565796 DOI: 10.1007/s00705-024-06012-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/28/2024] [Indexed: 04/04/2024]
Abstract
Surveillance of the SARS-CoV-2 genome has become a crucial technique in the management of COVID-19, aiding the pandemic response and supporting effective public health interventions. Typically, whole-genomic sequencing is used along with PCR-based target enrichment techniques to identify SARS-CoV-2 variants, which is a complicated and time-consuming process that requires central laboratory facilities. Thus, there is an urgent need to develop rapid and cost-effective tools for precise on-site detection and identification of SARS-CoV-2 strains. In this study, we demonstrate the rapid diagnosis of COVID-19 and identification of SARS-CoV-2 variants by amplification and sequencing of the entire SARS-CoV-2 S gene using isothermal enzymatic recombinase amplification combined with the advanced Oxford nanopore sequencing technique. The entire procedure, from sampling to sequencing, takes less than 8 hours and can be performed with limited resources. The newly developed method has noteworthy implications for examining the transmission dynamics of the virus, detecting novel genetic variants, and assessing the effect of mutations on diagnostic approaches, antiviral treatments, and vaccines.
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Affiliation(s)
- Diem Hong Tran
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Hoang Dang Khoa Do
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Hau Thi Tran
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | | | - Hoang Danh Nguyen
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Hoang Thuy Linh
- Medical Device Testing Center, Pasteur Institute, Ho Chi Minh City, Vietnam
- University Medical Center, Ho Chi Minh City, Vietnam
| | - Hoang Quoc Cuong
- Directorial Board, Pasteur Institute, Ho Chi Minh City, Vietnam
- Department of Health, Can Tho City, Vietnam
| | - Minh Thiet Vu
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
| | - Huong Thi Thu Phung
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
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6
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Buenestado-Serrano S, Herranz M, Otero-Sobrino Á, Molero-Salinas A, Rodríguez-Grande C, Sanz-Pérez A, Durán Galván MJ, Catalán P, Alonso R, Muñoz P, Pérez-Lago L, García de Viedma D. Accelerating SARS-CoV-2 genomic surveillance in a routine clinical setting with nanopore sequencing. Int J Med Microbiol 2024; 314:151599. [PMID: 38290400 DOI: 10.1016/j.ijmm.2024.151599] [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: 07/17/2023] [Revised: 10/27/2023] [Accepted: 01/15/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND SARS-CoV-2 genomic analysis has been key to the provision of valuable data to meet both epidemiological and clinical demands. High-throughput sequencing, generally Illumina-based, has been necessary to ensure the widest coverage in global variant tracking. However, a speedier response is needed for nosocomial outbreak analyses and rapid identification of patients infected by emerging VOCs. An alternative based on nanopore sequencing may be better suited to delivering a faster response when required; however, although there are several studies offering side-by-side comparisons of Illumina and nanopore sequencing, evaluations of the usefulness in the hospital routine of the faster availability of data provided by nanopore are still lacking. RESULTS We performed a prospective 10-week nanopore-based sequencing in MinION in a routine laboratory setting, including 83 specimens where a faster response time was necessary. The specimens analyzed corresponded to i) international travellers in which lineages were assigned to determine the proper management/special isolation of the patients; ii) nosocomial infections and health-care-worker infections, where SNP-based comparisons were required to rule in/out epidemiological relationships and tailor specific interventions iii) sentinel cases and breakthrough infections to timely report to the Public Health authorities. MinION-based sequencing was compared with the standard procedures, supported on Illumina sequencing; MinION accelerated the delivery of results (anticipating results 1-12 days) and reduced costs per sample by 28€ compared to Illumina, without reducing accuracy in SNP calling. CONCLUSIONS Parallel integration of Illumina and nanopore sequencing strategies is a suitable solution to ensure both high-throughput and rapid response to cope with accelerating the surveillance demands of SARS-CoV-2 while also maintaining accuracy.
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Affiliation(s)
- Sergio Buenestado-Serrano
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Escuela de doctorado, Universidad de Alcalá, Pl. de San Diego, s/n, Alcalá de Henares, 28801 Madrid, Spain
| | - Marta Herranz
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Álvaro Otero-Sobrino
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Andrea Molero-Salinas
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Cristina Rodríguez-Grande
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Amadeo Sanz-Pérez
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - María José Durán Galván
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Pilar Catalán
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Roberto Alonso
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Department of medicine, Universidad Complutense, Pl. de Ramón y Cajal, s/n, 28040 Madrid, Spain
| | - Patricia Muñoz
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of medicine, Universidad Complutense, Pl. de Ramón y Cajal, s/n, 28040 Madrid, Spain
| | - Laura Pérez-Lago
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain.
| | - Darío García de Viedma
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain.
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Pushpakumara PD, Jeewandara C, Bary F, Madushanka D, Perera L, Aberathna IS, Nimasha T, Jayamali J, Ranasinghe T, Kuruppu H, Danasekara S, Wijewickrama A, Ogg GS, Malavige GN. Identification of differences in the magnitude and specificity of SARS-CoV-2 nucleocapsid antibody responses in naturally infected and vaccinated individuals. Clin Exp Immunol 2024; 215:268-278. [PMID: 37313783 PMCID: PMC10876109 DOI: 10.1093/cei/uxad066] [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: 01/29/2023] [Revised: 04/25/2023] [Accepted: 06/09/2023] [Indexed: 06/15/2023] Open
Abstract
As there are limited data on B-cell epitopes for the nucleocapsid protein in SARS-CoV-2, we sought to identify the immunodominant regions within the N protein, recognized by patients with varying severity of natural infection with the Wuhan strain (WT), delta, omicron, and in those who received the Sinopharm vaccines, which is an inactivated, whole virus vaccine. Using overlapping peptides representing the N protein, with an in-house ELISA, we mapped the immunodominant regions within the N protein, in seronegative (n = 30), WT infected (n = 30), delta infected (n = 30), omicron infected + vaccinated (n = 20) and Sinopharm (BBIBP-CorV) vaccinees (n = 30). We then investigated the sensitivity and specificity of these immunodominant regions and analyzed their conservation with other SARS-CoV-2 variants of concern, seasonal human coronaviruses, and bat Sarbecoviruses. We identified four immunodominant regions aa 29-52, aa 155-178, aa 274-297, and aa 365-388, which were highly conserved within SARS-CoV-2 and the bat coronaviruses. The magnitude of responses to these regions varied based on the infecting SARS-CoV-2 variants, >80% of individuals gave responses above the positive cut-off threshold to many of the four regions, with some differences with individuals who were infected with different VoCs. These regions were found to be 100% specific, as none of the seronegative individuals gave any responses. As these regions were highly specific with high sensitivity, they have a potential to be used to develop diagnostic assays and to be used in development of vaccines.
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Affiliation(s)
- Pradeep Darshana Pushpakumara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Chandima Jeewandara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Farha Bary
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Deshan Madushanka
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Lahiru Perera
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Inoka Sepali Aberathna
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Thashmi Nimasha
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Jeewantha Jayamali
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Thushali Ranasinghe
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Heshan Kuruppu
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Saubhagya Danasekara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | | | - Graham S Ogg
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Gathsaurie Neelika Malavige
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
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8
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Tshiabuila D, Choga W, James SE, Maponga T, Preiser W, van Zyl G, Moir M, van Wyk S, Giandhari J, Pillay S, Anyaneji UJ, Lessells RJ, Naidoo Y, Sanko TJ, Wilkinson E, Tegally H, Baxter C, Martin DP, de Oliveira T. An Oxford Nanopore Technology-Based Hepatitis B Virus Sequencing Protocol Suitable For Genomic Surveillance Within Clinical Diagnostic Settings. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.19.24301519. [PMID: 38293032 PMCID: PMC10827254 DOI: 10.1101/2024.01.19.24301519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Chronic hepatitis B virus (HBV) infection remains a significant public health concern, particularly in Africa, where there is a substantial burden. HBV is an enveloped virus, with isolates being classified into ten phylogenetically distinct genotypes (A - J) determined based on full-genome sequence data or reverse hybridization-based diagnostic tests. In practice, limitations are noted in that diagnostic sequencing, generally using Sanger sequencing, tends to focus only on the S-gene, yielding little or no information on intra-patient HBV genetic diversity with very low-frequency variants and reverse hybridization detects only known genotype-specific mutations. To resolve these limitations, we developed an Oxford Nanopore Technology (ONT)-based HBV genotyping protocol suitable for clinical virology, yielding complete HBV genome sequences and extensive data on intra-patient HBV diversity. Specifically, the protocol involves tiling-based PCR amplification of HBV sequences, library preparation using the ONT Rapid Barcoding Kit, ONT GridION sequencing, genotyping using Genome Detective software, recombination analysis using jpHMM and RDP5 software, and drug resistance profiling using Geno2pheno software. We prove the utility of our protocol by efficiently generating and characterizing high-quality near full-length HBV genomes from 148 left-over diagnostic Hepatitis B patient samples obtained in the Western Cape province of South Africa, providing valuable insights into the genetic diversity and epidemiology of HBV in this region of the world.
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Affiliation(s)
- Derek Tshiabuila
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Wonderful Choga
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - San E. James
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban, South Africa
| | - Tongai Maponga
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa & National Health Laboratory Service
| | - Wolfgang Preiser
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa & National Health Laboratory Service
| | - Gert van Zyl
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa & National Health Laboratory Service
| | - Monika Moir
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Stephanie van Wyk
- Collaborating Centre for Optimizing Antimalarial Therapy (CCOAT), Mitigating Antimalarial Resistance Consortium in South East Africa (MARC SEA), Department of Medicine, Division of Clinical Pharmacology, University of Cape Town, South Africa
| | - Jennifer Giandhari
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban, South Africa
| | - Sureshnee Pillay
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban, South Africa
| | - Ugochukwu J. Anyaneji
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban, South Africa
| | - Richard J. Lessells
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban, South Africa
| | - Yeshnee Naidoo
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Tomasz Janusz Sanko
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Eduan Wilkinson
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Houriiyah Tegally
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Cheryl Baxter
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Darren P. Martin
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa
| | - Tulio de Oliveira
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
- KwaZulu Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu Natal, Durban, South Africa
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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: 12] [Impact Index Per Article: 6.0] [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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Pushpakumara PD, Jeewandara C, Bary F, Madushanka D, Perera L, Aberathna IS, Nimasha T, Jayamali J, Ranasinghe T, Kuruppu H, Danasekara S, Wijewickrama A, Ogg GS, Malavige GN. Identification of differences in the magnitude and specificity of SARS-CoV-2 nucleocapsid antibody responses in naturally infected and vaccinated individuals. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.05.23284247. [PMID: 36656781 PMCID: PMC9844014 DOI: 10.1101/2023.01.05.23284247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background As there are limited data on B cell epitopes for the nucleocapsid protein in SARS-CoV-2, we sought to identify the immunodominant regions within the N protein, recognized by patients with varying severity of natural infection with the Wuhan strain (WT), delta, omicron and in those who received the Sinopharm vaccines, which is an inactivated, whole virus vaccine. Methods Using overlapping peptides representing the N protein, with an in-house ELISA, we mapped the immunodominant regions within the N protein, in seronegative (n=30), WT infected (n=30), delta infected (n=30), omicron infected+vaccinated (n=20) and Sinopharm (BBIBP-CorV) vaccinees (n=30). We then investigated the sensitivity and specificity of these immunodominant regions and analysed their conservation with other SARS-CoV-2 variants of concern, seasonal human coronaviruses and bat Sarbecoviruses. We then investigated the kinetics of responses to these regions in those with varying severity of acute COVID-19. Results We identified four immunodominant regions aa 29-52, aa 155-178, aa 274 to 297 and aa 365 to 388, were highly conserved within SARS-CoV-2 and the bat coronaviruses. The magnitude of responses to these regions varied based on the infecting SARS-CoV-2 variants, with WT infected individuals predominantly recognizing aa155 to 178 regions, delta infected individuals and vaccinated+omicron infected individuals predominantly recognizing regions aa 29 to 52 and aa 274 to 294 regions. Sinopharm vaccinees recognized all four regions, with the magnitude of responses significantly lower than other groups. >80% of individuals gave responses above the positive cut-off threshold to many of the four regions, with some differences with individuals who were infected with different VoCs. These regions were found to be 100% specific, as none of the seronegative individuals gave any responses. Conclusions N-protein specific responses appear to be detectable in over 90% of those who were naturally infected or vaccinated with a whole virus inactivated vaccine, with responses mainly directed against four regions of the protein, which were highly conserved. As these regions were highly specific with high sensitivity, they have a potential to be used to develop diagnostic assays and to be used in development of vaccines.
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Affiliation(s)
- Pradeep D Pushpakumara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Chandima Jeewandara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Farha Bary
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Deshan Madushanka
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Lahiru Perera
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Inoka Sepali Aberathna
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Thashmi Nimasha
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Jeewantha Jayamali
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Thushali Ranasinghe
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Heshan Kuruppu
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Saubhagya Danasekara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | | | - Graham S Ogg
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Gathsaurie Neelika Malavige
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
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11
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Stanhope BJ, Peterson B, Knight B, Decadiz RN, Pan R, Davis P, Fraser A, Nuth M, vanWestrienen J, Wendlandt E, Goodwin B, Myers C, Stone J, Sozhamannan S. Development, testing and validation of a SARS-CoV-2 multiplex panel for detection of the five major variants of concern on a portable PCR platform. Front Public Health 2022; 10:1042647. [PMID: 36590003 PMCID: PMC9798920 DOI: 10.3389/fpubh.2022.1042647] [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: 09/12/2022] [Accepted: 11/11/2022] [Indexed: 12/16/2022] Open
Abstract
Many SARS-CoV-2 variants have emerged during the course of the COVID-19 pandemic. These variants have acquired mutations conferring phenotypes such as increased transmissibility or virulence, or causing diagnostic, therapeutic, or immune escape. Detection of Alpha and the majority of Omicron sublineages by PCR relied on the so-called S gene target failure due to the deletion of six nucleotides coding for amino acids 69-70 in the spike (S) protein. Detection of hallmark mutations in other variants present in samples relied on whole genome sequencing. However, whole genome sequencing as a diagnostic tool is still in its infancy due to geographic inequities in sequencing capabilities, higher cost compared to other molecular assays, longer turnaround time from sample to result, and technical challenges associated with producing complete genome sequences from samples that have low viral load and/or high background. Hence, there is a need for rapid genotyping assays. In order to rapidly generate information on the presence of a variant in a given sample, we have created a panel of four triplex RT-qPCR assays targeting 12 mutations to detect and differentiate all five variants of concern: Alpha, Beta, Gamma, Delta, and Omicron. We also developed an expanded pentaplex assay that can reliably distinguish among the major sublineages (BA.1-BA.5) of Omicron. In silico, analytical and clinical testing of the variant panel indicate that the assays exhibit high sensitivity and specificity. This panel can help fulfill the need for rapid identification of variants in samples, leading to quick decision making with respect to public health measures, as well as treatment options for individuals. Compared to sequencing, these genotyping PCR assays allow much faster turn-around time from sample to results-just a couple hours instead of days or weeks.
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Affiliation(s)
| | | | | | | | - Roger Pan
- Naval Health Research Center (NHRC), San Diego, CA, United States
| | | | - Anne Fraser
- Naval Health Research Center (NHRC), San Diego, CA, United States
| | | | | | - Erik Wendlandt
- Integrated DNA Technologies, Coralville, IA, United States
| | - Bruce Goodwin
- Defense Biological Product Assurance Office (DBPAO), Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND), Enabling Biotechnologies, Frederick, MD, United States
| | | | - Jennifer Stone
- MRIGlobal, Kansas City, MO, United States,*Correspondence: Jennifer Stone
| | - Shanmuga Sozhamannan
- Defense Biological Product Assurance Office (DBPAO), Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense (JPEO-CBRND), Enabling Biotechnologies, Frederick, MD, United States,Logistics Management Institute, Tysons, VA, United States,Shanmuga Sozhamannan
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12
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Jeewandara C, Aberathna IS, Dayarathna S, Nimasha T, Ranasinghe T, Jayamali J, Kamaladasa A, Karunanada M, Perera L, Ogg GS, Malavige GN. Comparison of the kinetics and magnitude of antibody responses to different SARS-CoV-2 proteins in Sinopharm/BBIBP-CorV vaccinees following the BNT162b2 booster or natural infection. PLoS One 2022; 17:e0274845. [PMID: 36227884 PMCID: PMC9560485 DOI: 10.1371/journal.pone.0274845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/06/2022] [Indexed: 11/07/2022] Open
Abstract
The kinetics and magnitude of antibody responses to different proteins of the SARS-CoV-2 virus in Sinopharm/BBIBP-CorV vaccinees has not been previously studied. Therefore, we investigated antibody responses to different SARS-CoV-2 proteins at 2 weeks, 3 months, and 6 months post-second dose in previously infected (n = 20) and uninfected (n = 20) Sinopharm/BBIBP-CorV vaccinees. The IgG antibodies to the S, S1 and S2 and N were several folds higher in those who had natural infection compared to uninfected individuals at all time points. We then compared the persistence of antibody responses and effect of natural omicron infection or BNT162b2 booster in Sinopharm/BBIBP-CorV vaccinees. We measured the total antibodies to the RBD, ACE2 blocking antibodies and antibody responses to different SARS-CoV-2 proteins in Sinopharm vaccinees at 7 months post second dose, including those who remained uninfected and not boosted (n = 21), or those who had previous infection and who did not obtain the booster (n = 17), those who were not infected, but who received a BNT162b2 booster (n = 30), or those who did not receive the booster but were infected with omicron (n = 29). At 7 months post second dose uninfected (no booster) had the lowest antibody levels to the RBD, while omicron infected vaccinees showed significantly higher anti-RBD antibody levels (p = 0.04) than vaccinees who received the booster. Only 3/21 cohort A (14.3%) had ACE2 blocking antibodies, while higher frequencies were observed in naturally infected individuals (100%), those who received the booster (18/21, 85.7%), and omicron infected individuals (100%). Pre-vaccination, naturally infected had the highest antibody levels to the N protein. These data suggest that those previously infected Sinopharm/BBIBP-CorV vaccinees have a robust antibody response, 7 months post vaccination, while vaccinees who were naturally infected with omicron had a similar immune response to those who received the booster. It will be important to investigate implications for subsequent clinical protection.
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Affiliation(s)
- Chandima Jeewandara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Inoka Sepali Aberathna
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Shashika Dayarathna
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Thashmi Nimasha
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Thushali Ranasinghe
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Jeewantha Jayamali
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Achala Kamaladasa
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Maneshka Karunanada
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Lahiru Perera
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Graham S. Ogg
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Gathsaurie Neelika Malavige
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- * E-mail:
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