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Hồ NT, Hughes SG, Ta VT, Phan LT, Đỗ Q, Nguyễn TV, Phạm ATV, Thị Ngọc Đặng M, Nguyễn LV, Trịnh QV, Phạm HN, Chử MV, Nguyễn TT, Lương QC, Tường Lê VT, Nguyễn TV, Trần LTL, Thi Van Luu A, Nguyen AN, Nguyen NTH, Vu HS, Edelman JM, Parker S, Sullivan B, Sullivan S, Ruan Q, Clemente B, Luk B, Lindert K, Berdieva D, Murphy K, Sekulovich R, Greener B, Smolenov I, Chivukula P, Nguyễn VT, Nguyen XH. Safety, immunogenicity and efficacy of the self-amplifying mRNA ARCT-154 COVID-19 vaccine: pooled phase 1, 2, 3a and 3b randomized, controlled trials. Nat Commun 2024; 15:4081. [PMID: 38744844 PMCID: PMC11094049 DOI: 10.1038/s41467-024-47905-1] [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: 09/05/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
Combination of waning immunity and lower effectiveness against new SARS-CoV-2 variants of approved COVID-19 vaccines necessitates new vaccines. We evaluated two doses, 28 days apart, of ARCT-154, a self-amplifying mRNA COVID-19 vaccine, compared with saline placebo in an integrated phase 1/2/3a/3b controlled, observer-blind trial in Vietnamese adults (ClinicalTrial.gov identifier: NCT05012943). Primary safety and reactogenicity outcomes were unsolicited adverse events (AE) 28 days after each dose, solicited local and systemic AE 7 days after each dose, and serious AEs throughout the study. Primary immunogenicity outcome was the immune response as neutralizing antibodies 28 days after the second dose. Efficacy against COVID-19 was assessed as primary and secondary outcomes in phase 3b. ARCT-154 was well tolerated with generally mild-moderate transient AEs. Four weeks after the second dose 94.1% (95% CI: 92.1-95.8) of vaccinees seroconverted for neutralizing antibodies, with a geometric mean-fold rise from baseline of 14.5 (95% CI: 13.6-15.5). Of 640 cases of confirmed COVID-19 eligible for efficacy analysis most were due to the Delta (B.1.617.2) variant. Efficacy of ARCT-154 was 56.6% (95% CI: 48.7- 63.3) against any COVID-19, and 95.3% (80.5-98.9) against severe COVID-19. ARCT-154 vaccination is well tolerated, immunogenic and efficacious, particularly against severe COVID-19 disease.
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Affiliation(s)
- Nhân Thị Hồ
- Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, Vietnam
| | | | | | | | - Quyết Đỗ
- Vietnam Military Medical University, Hanoi, Vietnam
| | | | | | | | | | | | | | - Mến Văn Chử
- Vietnam Military Medical University, Hanoi, Vietnam
| | | | | | | | | | - Lý-Thi-Lê Trần
- Hi-tech Center, Vinmec Healthcare System, Hanoi, Vietnam
- Vietnam Biocare Biotechnology Jointstock Company, Hanoi, Vietnam
| | - Anh Thi Van Luu
- Vietnam Biocare Biotechnology Jointstock Company, Hanoi, Vietnam
| | - Anh Ngoc Nguyen
- Vietnam Biocare Biotechnology Jointstock Company, Hanoi, Vietnam
| | | | - Hai-Son Vu
- Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, Vietnam
| | | | | | | | | | - Qian Ruan
- Arcturus Therapeutics, Inc, San Diego, CA, USA
| | | | - Brian Luk
- Arcturus Therapeutics, Inc, San Diego, CA, USA
| | | | | | - Kat Murphy
- Arcturus Therapeutics, Inc, San Diego, CA, USA
| | | | | | | | | | - Vân Thu Nguyễn
- Vietnam Biocare Biotechnology Jointstock Company, Hanoi, Vietnam
| | - Xuan-Hung Nguyen
- Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, Vietnam.
- Hi-tech Center, Vinmec Healthcare System, Hanoi, Vietnam.
- College of Health Sciences, Vin University, Hanoi, Vietnam.
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2
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Amidei A, Dobrovolny HM. Virus-mediated cell fusion of SARS-CoV-2 variants. Math Biosci 2024; 369:109144. [PMID: 38224908 DOI: 10.1016/j.mbs.2024.109144] [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: 09/04/2023] [Revised: 11/25/2023] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
SARS-CoV-2 has the ability to form large multi-nucleated cells known as syncytia. Little is known about how syncytia affect the dynamics of the infection or severity of the disease. In this manuscript, we extend a mathematical model of cell-cell fusion assays to estimate both the syncytia formation rate and the average duration of the fusion phase for five strains of SARS-CoV-2. We find that the original Wuhan strain has the slowest rate of syncytia formation (6.4×10-4/h), but takes only 4.0 h to complete the fusion process, while the Alpha strain has the fastest rate of syncytia formation (0.36 /h), but takes 7.6 h to complete the fusion process. The Beta strain also has a fairly fast syncytia formation rate (9.7×10-2/h), and takes the longest to complete fusion (8.4 h). The D614G strain has a fairly slow syncytia formation rate (2.8×10-3/h), but completes fusion in 4.0 h. Finally, the Delta strain is in the middle with a syncytia formation rate of 3.2×10-2/h and a fusing time of 6.1 h. We note that for these SARS-CoV-2 strains, there appears to be a tradeoff between the ease of forming syncytia and the speed at which they complete the fusion process.
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Affiliation(s)
- Ava Amidei
- Department of Chemistry & Biochemistry, Texas Christian University, Fort Worth, TX, USA
| | - Hana M Dobrovolny
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA.
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3
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Bray N, Sopwith W, Edmunds M, Vansteenhouse H, Feenstra JDM, Jacobs P, Rajput K, O'Connell AM, Smith ML, Blomquist P, Hatziioanou D, Elson R, Vivancos R, Gallagher E, Wigglesworth MJ, Dominiczak A, Hopkins S, Lake IR. RT-PCR genotyping assays to identify SARS-CoV-2 variants in England in 2021: a design and retrospective evaluation study. THE LANCET. MICROBE 2024; 5:e173-e180. [PMID: 38244555 DOI: 10.1016/s2666-5247(23)00320-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 09/29/2023] [Accepted: 09/29/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND Whole-genome sequencing (WGS) is the gold standard diagnostic tool to identify and genetically characterise emerging pathogen mutations (variants), but cost, capacity, and timeliness limit its use when large populations need rapidly assessing. We assessed the potential of genotyping assays to provide accurate and timely variant information at scale by retrospectively examining surveillance for SARS-CoV-2 variants in England between March and September, 2021, when genotyping assays were used widely for variant detection. METHODS We chose a panel of four RT-PCR genotyping assays to detect circulating variants of SARS-COV-2 in England and developed a decision algorithm to assign a probable SARS-CoV-2 variant to samples using the assay results. We extracted surveillance data from the UK Health Security Agency databases for 115 934 SARS-CoV-2-positive samples (March 1-Sept 6, 2021) when variant information was available from both genotyping and WGS. By comparing the genotyping and WGS variant result, we calculated accuracy metrics (ie, sensitivity, specificity, and positive predictive value [PPV]) and the time difference between the sample collection date and the availability of variant information. We assessed the number of samples with a variant assigned from genotyping or WGS, or both, over time. FINDINGS Genotyping and an initial decision algorithm (April 10-May 11, 2021 data) were accurate for key variant assignment: sensitivities and PPVs were 0·99 (95% CI 0·99-0·99) for the alpha, 1·00 (1·00-1·00) for the beta, and 0·91 (0·80-1·00) for the gamma variants; specificities were 0·97 (0·96-0·98), 1·00 (1·00-1·00), and 1·00 (1·00-1·00), respectively. A subsequent decision algorithm over a longer time period (May 27-Sept 6, 2021 data) remained accurate for key variant assignment: sensitivities were 0·91 (95% CI 0·74-1·00) for the beta, 0·98 (0·98-0·99) for the delta, and 0·93 (0·81-1·00) for the gamma variants; specificities were 1·00 (1·00-1·00), 0·96 (0·96-0·97), and 1·00 (1·00-1·00), respectively; and PPVs were 0·83 (0·62-1·00), 1·00 (1·00-1·00), and 0·78 (0·59-0·97), respectively. Genotyping produced variant information a median of 3 days (IQR 2-4) after the sample collection date, which was faster than with WGS (9 days [8-11]). The flexibility of genotyping enabled a nine-times increase in the quantity of samples tested for variants by this method (from 5000 to 45 000). INTERPRETATION RT-PCR genotyping assays are suitable for high-throughput variant surveillance and could complement WGS, enabling larger scale testing for known variants and timelier results, with important implications for effective public health responses and disease control globally, especially in settings with low WGS capacity. However, the choice of panels of RT-PCR assays is highly dependent on database information on circulating variants generated by WGS, which could limit the use of genotyping assays when new variants are emerging and spreading rapidly. FUNDING UK Health Security Agency and National Institute for Health Research Health Protection Research Unit in Emergency Preparedness and Response.
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Affiliation(s)
- Neil Bray
- UK Health Security Agency, London, UK
| | | | | | - Harper Vansteenhouse
- UK Health Security Agency, London, UK; BioClavis, Glasgow, UK; NHS Test and Trace, Department of Health & Social Care, London, UK; Alderley Lighthouse Labs, Macclesfield, UK
| | | | - Peter Jacobs
- Thermo Fisher Scientific, South San Francisco, CA, USA
| | - Kamal Rajput
- NHS Test and Trace, Department of Health & Social Care, London, UK
| | | | | | | | | | - Richard Elson
- UK Health Security Agency, London, UK; School of Environmental Sciences, University of East Anglia, Norwich, UK; NIHR Health Protection Research Unit in Emergency Preparedness and Response, London, UK
| | - Roberto Vivancos
- UK Health Security Agency, London, UK; NIHR Health Protection Research Unit in Gastrointestinal Infections and NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, UK
| | | | | | - Anna Dominiczak
- UK Health Security Agency, London, UK; NHS Test and Trace, Department of Health & Social Care, London, UK; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Susan Hopkins
- UK Health Security Agency, London, UK; NIHR Health Protection Research Unit in in Health Care Acquired Infections and Antimicrobial Resistance, London, UK
| | - Iain R Lake
- UK Health Security Agency, London, UK; School of Environmental Sciences, University of East Anglia, Norwich, UK; NIHR Health Protection Research Unit in Emergency Preparedness and Response, London, UK.
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4
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Sun H, Deng T, Zhang Y, Lin Y, Jiang Y, Jiang Y, Huang Y, Song S, Cui L, Li T, Xiong H, Lan M, Liu L, Li Y, Fang Q, Yu K, Jiang W, Zhou L, Que Y, Zhang T, Yuan Q, Cheng T, Zhang Z, Yu H, Zhang J, Luo W, Li S, Zheng Q, Gu Y, Xia N. Two antibodies show broad, synergistic neutralization against SARS-CoV-2 variants by inducing conformational change within the RBD. Protein Cell 2024; 15:121-134. [PMID: 37470320 PMCID: PMC10833452 DOI: 10.1093/procel/pwad040] [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: 02/14/2023] [Accepted: 06/14/2023] [Indexed: 07/21/2023] Open
Abstract
Continual evolution of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) virus has allowed for its gradual evasion of neutralizing antibodies (nAbs) produced in response to natural infection or vaccination. The rapid nature of these changes has incited a need for the development of superior broad nAbs (bnAbs) and/or the rational design of an antibody cocktail that can protect against the mutated virus strain. Here, we report two angiotensin-converting enzyme 2 competing nAbs-8H12 and 3E2-with synergistic neutralization but evaded by some Omicron subvariants. Cryo-electron microscopy reveals the two nAbs synergistic neutralizing virus through a rigorous pairing permitted by rearrangement of the 472-489 loop in the receptor-binding domain to avoid steric clashing. Bispecific antibodies based on these two nAbs tremendously extend the neutralizing breadth and restore neutralization against recent variants including currently dominant XBB.1.5. Together, these findings expand our understanding of the potential strategies for the neutralization of SARS-CoV-2 variants toward the design of broad-acting antibody therapeutics and vaccines.
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Affiliation(s)
- Hui Sun
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Tingting Deng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yali Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Yanling Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yanan Jiang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yichao Jiang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yang Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Shuo Song
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
- The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
| | - Lingyan Cui
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Tingting Li
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Hualong Xiong
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Miaolin Lan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Liqin Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yu Li
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Qianjiao Fang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Kunyu Yu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Wenling Jiang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Lizhi Zhou
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Yuqiong Que
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Tianying Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Quan Yuan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Tong Cheng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Zheng Zhang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
- The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
| | - Hai Yu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Jun Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Wenxin Luo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Shaowei Li
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Qingbing Zheng
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Ying Gu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
| | - Ningshao Xia
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Xiang An Biomedicine Laboratory, Xiamen 361102, China
- Research Unit of Frontier Technology of Structural Vaccinology, Chinese Academy of Medical Sciences, Xiamen 361102, China
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5
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Khalil AM, Martinez-Sobrido L, Mostafa A. Zoonosis and zooanthroponosis of emerging respiratory viruses. Front Cell Infect Microbiol 2024; 13:1232772. [PMID: 38249300 PMCID: PMC10796657 DOI: 10.3389/fcimb.2023.1232772] [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: 06/01/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Lung infections in Influenza-Like Illness (ILI) are triggered by a variety of respiratory viruses. All human pandemics have been caused by the members of two major virus families, namely Orthomyxoviridae (influenza A viruses (IAVs); subtypes H1N1, H2N2, and H3N2) and Coronaviridae (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2). These viruses acquired some adaptive changes in a known intermediate host including domestic birds (IAVs) or unknown intermediate host (SARS-CoV-2) following transmission from their natural reservoirs (e.g. migratory birds or bats, respectively). Verily, these acquired adaptive substitutions facilitated crossing species barriers by these viruses to infect humans in a phenomenon that is known as zoonosis. Besides, these adaptive substitutions aided the variant strain to transmit horizontally to other contact non-human animal species including pets and wild animals (zooanthroponosis). Herein we discuss the main zoonotic and reverse-zoonosis events that occurred during the last two pandemics of influenza A/H1N1 and SARS-CoV-2. We also highlight the impact of interspecies transmission of these pandemic viruses on virus evolution and possible prophylactic and therapeutic interventions. Based on information available and presented in this review article, it is important to close monitoring viral zoonosis and viral reverse zoonosis of pandemic strains within a One-Health and One-World approach to mitigate their unforeseen risks, such as virus evolution and resistance to limited prophylactic and therapeutic interventions.
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Affiliation(s)
- Ahmed Magdy Khalil
- Disease Intervention & Prevention and Host Pathogen Interactions Programs, Texas Biomedical Research Institute, San Antonio, TX, United States
- Department of Zoonotic Diseases, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt
| | - Luis Martinez-Sobrido
- Disease Intervention & Prevention and Host Pathogen Interactions Programs, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Ahmed Mostafa
- Disease Intervention & Prevention and Host Pathogen Interactions Programs, Texas Biomedical Research Institute, San Antonio, TX, United States
- Center of Scientific Excellence for Influenza Viruses, Water Pollution Research Department, Environment and Climate Change Research Institute, National Research Centre, Giza, Egypt
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6
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Pastore G, Polvere J, Fiorino F, Lucchesi S, Montesi G, Rancan I, Zirpoli S, Lippi A, Durante M, Fabbiani M, Tumbarello M, Montagnani F, Medaglini D, Ciabattini A. Homologous or heterologous administration of mRNA or adenovirus-vectored vaccines show comparable immunogenicity and effectiveness against the SARS-CoV-2 Omicron variant. Expert Rev Vaccines 2024; 23:432-444. [PMID: 38517153 DOI: 10.1080/14760584.2024.2333952] [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: 12/01/2023] [Accepted: 03/19/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Heterologous prime-boost schedules have been employed in SARS-CoV-2 vaccination, yet additional data on immunogenicity and effectiveness are still needed. RESEARCH DESIGN AND METHODS Here, we measured the immunogenicity and effectiveness in the real-world setting of the mRNA booster dose in 181 subjects who had completed primary vaccination with ChAdOx1, BNT162b2, or mRNA1273 vaccines (IMMUNO_COV study; protocol code 18,869). The spike-specific antibody and B cell responses were analyzed up to 6 months after boosting. RESULTS After an initial slower antibody response, the heterologous ChAdOx1/mRNA prime-boost formulation elicited spike-specific IgG titers comparable to homologous approaches, while spike-specific B cells showed a higher percentage of CD21-CD27- atypical cells compared to homologous mRNA vaccination. Mixed combinations of BNT162b2 and mRNA-1273 elicited an immune response comparable with homologous strategies. Non-significant differences in the Relative Risk of infection, calculated over a period of 18 months after boosting, were reported among homologous or heterologous vaccination groups, indicating a comparable relative vaccine effectiveness. CONCLUSIONS Our data endorse the heterologous booster vaccination with mRNA as a valuable alternative to homologous schedules. This approach can serve as a solution in instances of formulation shortages and contribute to enhancing vaccine strategies for potential epidemics or pandemics.
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Affiliation(s)
- Gabiria Pastore
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Jacopo Polvere
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Fabio Fiorino
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Department of Medicine and Surgery, LUM University "Giuseppe Degennaro"; Casamassima, Bari, Italy
| | - Simone Lucchesi
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Giorgio Montesi
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Ilaria Rancan
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Department of Medical Sciences, Infectious and Tropical Diseases Unit, University Hospital of Siena, Siena, Italy
| | - Sara Zirpoli
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Arianna Lippi
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Department of Medical Sciences, Infectious and Tropical Diseases Unit, University Hospital of Siena, Siena, Italy
| | - Miriam Durante
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | | | - Mario Tumbarello
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Department of Medical Sciences, Infectious and Tropical Diseases Unit, University Hospital of Siena, Siena, Italy
| | - Francesca Montagnani
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Department of Medical Sciences, Infectious and Tropical Diseases Unit, University Hospital of Siena, Siena, Italy
| | - Donata Medaglini
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Annalisa Ciabattini
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
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7
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Manole C, Dediu-Anghel M, Baroiu L, Ștefanopol IA, Nechifor A, Niculet E, Mihailov R, Moroianu LA, Voinescu DC, Firescu D. Efficiency of continuous positive airway pressure and high-flow nasal oxygen therapy in critically ill patients with COVID-19. J Int Med Res 2024; 52:3000605231222151. [PMID: 38194495 PMCID: PMC10777799 DOI: 10.1177/03000605231222151] [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: 07/25/2023] [Accepted: 12/06/2023] [Indexed: 01/11/2024] Open
Abstract
OBJECTIVE Critically ill patients with COVID-19 develop acute respiratory distress syndrome characterized by relatively well-preserved pulmonary compliance but severe hypoxemia. The challenge in managing such patients lies in optimizing oxygenation, which can be achieved through either high oxygen flow or noninvasive mechanical ventilation. This study was performed to compare the efficiency of two methods of noninvasive oxygen therapy: continuous positive airway pressure (CPAP) and high-flow nasal oxygen therapy (HFNO). METHODS This retrospective cohort study involved 668 patients hospitalized in the intensive care unit (ICU) of the "Sf. Apostol Andrei" Emergency Clinical Hospital, Galati, Romania from 1 April 2020 to 31 March 2021 (CPAP, n = 108; HFNO, n = 108). RESULTS Mortality was significantly lower in the CPAP and HFNO groups than in the group of patients who underwent intubation and mechanical ventilation after ICU admission. Mortality in the ICU was not significantly different between the CPAP and HFNO groups. CONCLUSIONS HFNO and CPAP represent efficient alternative therapies for patients with severe COVID-19 whose respiratory treatment has failed. Studies involving larger groups of patients are necessary to establish a personalized, more complex management modality for critically ill patients with COVID-19.
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Affiliation(s)
- Corina Manole
- Clinical Medical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Intensive Care Department, “Sfantul Apostol Andrei” Emergency Clinical Hospital, Galati, Romania
| | - Mihaela Dediu-Anghel
- Clinical Medical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Intensive Care Department, “Sfantul Apostol Andrei” Emergency Clinical Hospital, Galati, Romania
| | - Liliana Baroiu
- Clinical Medical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Infectious Diseases Department, “Sf. Cuv. Parascheva” Infectious Diseases Clinical Hospital, Galati, Romania
| | - Ioana Anca Ștefanopol
- Clinical Surgical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Surgical Department, “Sfantul Ioan” Emergency Clinical Hospital for Children, Galati, Romania
| | - Alexandru Nechifor
- Clinical Medical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Multidisciplinary Integrated Center of Dermatological Interface Research Center (MIC-DIR), “Dunărea de Jos” University of Galat,i, Romania
| | - Elena Niculet
- Department of Morphological and Functional Sciences, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Pathology Department, “Sfantul Apostol Andrei” Emergency Clinical Hospital, Galati, Romania
| | - Raul Mihailov
- Department of Morphological and Functional Sciences, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Surgical Department, “Sfantul Apostol Andrei” Emergency Clinical Hospital, Galati, Romania
| | - Lavinia Alexandra Moroianu
- Clinical Medical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Psychiatry Department, “Elisabeta Doamna” Psychiatric Clinical Hospital, Galati, Romania
| | - Doina Carina Voinescu
- Clinical Medical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Medical Department, “Sfantul Apostol Andrei” Emergency County Clinical Hospital, Galati, Romania
| | - Dorel Firescu
- Clinical Surgical Department, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galat,i, Romania
- Surgical Department, “Sfantul Apostol Andrei” Emergency Clinical Hospital, Galati, Romania
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8
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Mishra SK, Priya P, Rai GP, Haque R, Shanker A. Coevolution based immunoinformatics approach considering variability of epitopes to combat different strains: A case study using spike protein of SARS-CoV-2. Comput Biol Med 2023; 163:107233. [PMID: 37422941 DOI: 10.1016/j.compbiomed.2023.107233] [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: 12/07/2022] [Revised: 06/03/2023] [Accepted: 07/01/2023] [Indexed: 07/11/2023]
Abstract
In the recent past several vaccines were developed to combat the COVID-19 disease. Unfortunately, the protective efficacy of the current vaccines has been reduced due to the high mutation rate in SARS-CoV-2. Here, we successfully implemented a coevolution based immunoinformatics approach to design an epitope-based peptide vaccine considering variability in spike protein of SARS-CoV-2. The spike glycoprotein was investigated for B- and T-cell epitope prediction. Identified T-cell epitopes were mapped on previously reported coevolving amino acids in the spike protein to introduce mutation. The non-mutated and mutated vaccine components were constructed by selecting epitopes showing overlapping with the predicted B-cell epitopes and highest antigenicity. Selected epitopes were linked with the help of a linker to construct a single vaccine component. Non-mutated and mutated vaccine component sequences were modelled and validated. The in-silico expression level of the vaccine constructs (non-mutated and mutated) in E. coli K12 shows promising results. The molecular docking analysis of vaccine components with toll-like receptor 5 (TLR5) demonstrated strong binding affinity. The time series calculations including root mean square deviation (RMSD), radius of gyration (RGYR), and energy of the system over 100 ns trajectory obtained from all atom molecular dynamics simulation showed stability of the system. The combined coevolutionary and immunoinformatics approach used in this study will certainly help to design an effective peptide vaccine that may work against different strains of SARS-CoV-2. Moreover, the strategy used in this study can be implemented on other pathogens.
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Affiliation(s)
- Saurav Kumar Mishra
- Department of Bioinformatics, Central University of South Bihar, Gaya, Bihar, India
| | - Prerna Priya
- Department of Botany, Purnea Mahila College, Purnia, Bihar, India
| | - Gyan Prakash Rai
- Department of Bioinformatics, Central University of South Bihar, Gaya, Bihar, India
| | - Rizwanul Haque
- Department of Biotechnology, Central University of South Bihar, Gaya, Bihar, India
| | - Asheesh Shanker
- Department of Bioinformatics, Central University of South Bihar, Gaya, Bihar, India.
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9
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Ho KL, Ding J, Fan JS, Tsui WNT, Bai J, Fan SK. Digital Microfluidic Multiplex RT-qPCR for SARS-CoV-2 Detection and Variants Discrimination. MICROMACHINES 2023; 14:1627. [PMID: 37630161 PMCID: PMC10456927 DOI: 10.3390/mi14081627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/05/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023]
Abstract
Continuous mutations have occurred in the genome of the SARS-CoV-2 virus since the onset of the COVID-19 pandemic. The increased transmissibility of the mutated viruses has not only imposed medical burdens but also prolonged the duration of the pandemic. A point-of-care (POC) platform that provides multitarget detection will help to track and reduce disease transmissions. Here we detected and discriminated three genotypes of SARS-CoV-2, including the wildtype and two variants of concern (VOCs), the Delta variant and Omicron variant, through reverse transcription quantitative polymerase chain reaction (RT-qPCR) on a digital microfluidics (DMF)-based cartridge. Upon evaluating with the RNA samples of Omicron variant, the DMF RT-qPCR presented a sensitivity of 10 copies/μL and an amplification efficiency of 96.1%, capable for clinical diagnosis. When spiking with SARS-CoV-2 RNA (wildtype, Delta variant, or Omicron variant) and 18S rDNA, the clinical analog samples demonstrated accurate detection and discrimination of different SARS-CoV-2 strains in 49 min.
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Affiliation(s)
- Kuan-Lun Ho
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
| | - Jing Ding
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
| | - Jia-Shao Fan
- Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA;
| | - Wai Ning Tiffany Tsui
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA; (W.N.T.T.); (J.B.)
| | - Jianfa Bai
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA; (W.N.T.T.); (J.B.)
- Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS 66506, USA
| | - Shih-Kang Fan
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
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10
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Chattopadhyay A, Jailani AAK, Mandal B. Exigency of Plant-Based Vaccine against COVID-19 Emergence as Pandemic Preparedness. Vaccines (Basel) 2023; 11:1347. [PMID: 37631915 PMCID: PMC10458178 DOI: 10.3390/vaccines11081347] [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: 06/20/2023] [Revised: 08/02/2023] [Accepted: 08/03/2023] [Indexed: 08/29/2023] Open
Abstract
After two years since the declaration of COVID-19 as a pandemic by the World Health Organization (WHO), more than six million deaths have occurred due to SARS-CoV-2, leading to an unprecedented disruption of the global economy. Fortunately, within a year, a wide range of vaccines, including pathogen-based inactivated and live-attenuated vaccines, replicating and non-replicating vector-based vaccines, nucleic acid (DNA and mRNA)-based vaccines, and protein-based subunit and virus-like particle (VLP)-based vaccines, have been developed to mitigate the severe impacts of the COVID-19 pandemic. These vaccines have proven highly effective in reducing the severity of illness and preventing deaths. However, the availability and supply of COVID-19 vaccines have become an issue due to the prioritization of vaccine distribution in most countries. Additionally, as the virus continues to mutate and spread, questions have arisen regarding the effectiveness of vaccines against new strains of SARS-CoV-2 that can evade host immunity. The urgent need for booster doses to enhance immunity has been recognized. The scarcity of "safe and effective" vaccines has exacerbated global inequalities in terms of vaccine coverage. The development of COVID-19 vaccines has fallen short of the expectations set forth in 2020 and 2021. Furthermore, the equitable distribution of vaccines at the global and national levels remains a challenge, particularly in developing countries. In such circumstances, the exigency of plant virus-based vaccines has become apparent as a means to overcome supply shortages through fast manufacturing processes and to enable quick and convenient distribution to millions of people without the reliance on a cold chain system. Moreover, plant virus-based vaccines have demonstrated both safety and efficacy in eliciting robust cellular immunogenicity against COVID-19 pathogens. This review aims to shed light on the advantages and disadvantages of different types of vaccines developed against SARS-CoV-2 and provide an update on the current status of plant-based vaccines in the fight against the COVID-19 pandemic.
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Affiliation(s)
- Anirudha Chattopadhyay
- Pulses Research Station, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar 385506, India;
| | - A. Abdul Kader Jailani
- Department of Plant Pathology, North Florida Research and Education Center, University of Florida, Quincy, FL 32351, USA
| | - Bikash Mandal
- Advanced Centre for Plant Virology, Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi 110012, India
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11
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Chiu PC, Su KW, Wang CH, Ruan CW, Shiao ZP, Tsao CH, Huang HH. Development and Testing of the Smart Healthcare Prototype System through COVID-19 Patient Innovation. Healthcare (Basel) 2023; 11:healthcare11060847. [PMID: 36981502 PMCID: PMC10048738 DOI: 10.3390/healthcare11060847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 03/16/2023] Open
Abstract
Since the outbreak of the novel coronavirus disease 2019 (COVID-19), the epidemic has gradually slowed down in various countries and people’s lives have gradually returned to normal. To monitor the spread of the epidemic, studies discussing the design of related healthcare information systems have been increasing recently. However, these studies might not consider the aspect of user-centric design when developing healthcare information systems. This study examined these innovative technology applications and rapidly built prototype systems for smart healthcare through a systematic literature review and a study of patient innovation. The design guidelines for the Smart Healthcare System (SHS) were then compiled through an expert review process. This will provide a reference for future research and similar healthcare information system development.
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Affiliation(s)
- Po-Chih Chiu
- College of Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan
| | - Kuo-Wei Su
- Department of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan
- Correspondence: (K.-W.S.); (C.-H.T.)
| | - Chao-Hung Wang
- Department of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan
| | - Cong-Wen Ruan
- Department of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan
| | - Zong-Peng Shiao
- Department of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan
| | - Chien-Han Tsao
- Department of Otolaryngology, Chung Shan Medical University Hospital and School of Medicine, Taichung 40201, Taiwan
- Correspondence: (K.-W.S.); (C.-H.T.)
| | - Hsin-Hsin Huang
- Department of Otolaryngology, Chung Shan Medical University Hospital and School of Medicine, Taichung 40201, Taiwan
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