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Erster O, Bar-Or I, Azar R, Assraf H, Kabat A, Mannasse B, Moshayoff V, Fleishon S, Preis SA, Yishai R, Teijman-Yarden N, Aguvaev I, Matar R, Aydenzon A, Mandelboim M, Zuckerman NS, Sofer D, Lustig Y. Incursion of SARS-CoV-2 BA.2.86.1 variant into Israel: National-scale wastewater surveillance using a novel quantitative real-time PCR assay. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173164. [PMID: 38735317 DOI: 10.1016/j.scitotenv.2024.173164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
The emergence of the SARS-CoV-2 variant BA.2.86.1 raised a considerable concern, due to the large number of potentially virulent mutations. In this study, we developed a novel assay that specifically detects variant BA.2.86.1, and used it to screen environmental samples from wastewater treatment sites across Israel. By using a multiplex assay that included a general SARS-CoV-2 reaction, together with the BA.2.86.1-specific reaction and a control reaction, we quantified the absolute number of viral copies in each sample and its relative abundance, compared with the total copy number of circulating SARS-CoV-2. Evaluation of the new reactions showed that they are both sensitive and specific, detecting down to four copies per reaction, and maintain specificity in the presence of Omicron variants BA.1, 2 and 4 RNA. Examination of 279 samples from 30 wastewater collection sites during August-September 2023 showed that 35 samples (12.5 %) were positive, from 18 sites. Quantitative analysis of the samples showed that the relative abundance of variant BA.2.86.1 with respect to the total viral load of SARS-CoV-2 was very low and consisted between 0.01 % and 0.6 % of the total SARS-CoV-2 circulation. This study demonstrates the importance of combining wastewater surveillance with the development of specialized diagnostic assays, when clinical testing is insufficient. This approach may be useful for timely response by public health authorities in future outbreaks.
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Affiliation(s)
- Oran Erster
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel.
| | - Itay Bar-Or
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Roberto Azar
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Hadar Assraf
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Areej Kabat
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Batya Mannasse
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Vardit Moshayoff
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Shay Fleishon
- Public Health Services, Ministry of Health, Jerusalem, Israel
| | | | - Ruth Yishai
- Public Health Services, Ministry of Health, Jerusalem, Israel
| | | | - Irina Aguvaev
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Roaa Matar
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Alex Aydenzon
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Michal Mandelboim
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel; School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Neta S Zuckerman
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Danit Sofer
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Yaniv Lustig
- Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel; School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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Bai H, Zhang X, Gong T, Ma J, Zhang P, Cai Z, Ren D, Zhang C. A systematic mutation analysis of 13 major SARS-CoV-2 variants. Virus Res 2024; 345:199392. [PMID: 38729218 PMCID: PMC11112362 DOI: 10.1016/j.virusres.2024.199392] [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: 12/24/2023] [Revised: 04/22/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
SARS-CoV-2 evolves constantly with various novel mutations. Due to their enhanced infectivity, transmissibility and immune evasion, a comprehensive understanding of the association between these mutations and the respective functional changes is crucial. However, previous mutation studies of major SARS-CoV-2 variants remain limited. Here, we performed systematic analyses of full-length amino acids mutation, phylogenetic features, protein physicochemical properties, molecular dynamics and immune escape as well as pseudotype virus infection assays among thirteen major SARS-CoV-2 variants. We found that Omicron exhibited the most abundant and complex mutation sites, higher indices of hydrophobicity and flexibility than other variants. The results of molecular dynamics simulation suggest that Omicron has the highest number of hydrogen bonds and strongest binding free energy between the S protein and ACE2 receptor. Furthermore, we revealed 10 immune escape sites in 13 major variants, some of them were reported previously, but four of which (i.e. 339/373/477/496) are first reported to be specific to Omicron, whereas 462 is specific to Epslion. The infectivity of these variants was confirmed by the pseudotype virus infection assays. Our findings may help us understand the functional consequences of the mutations within various variants and the underlying mechanisms of the immune escapes conferred by the S proteins.
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Affiliation(s)
- Han Bai
- The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Xuan Zhang
- Center for Molecular Diagnosis and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China; Jiangxi Provincial Center for Advanced Diagnostic Technology and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Medical Genetics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 DongYue Dadao, Nanchang 330209, China
| | - Tian Gong
- Center for Molecular Diagnosis and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China; Jiangxi Provincial Center for Advanced Diagnostic Technology and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Medical Genetics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 DongYue Dadao, Nanchang 330209, China
| | - Junpeng Ma
- Center for Molecular Diagnosis and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China; Jiangxi Provincial Center for Advanced Diagnostic Technology and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Medical Genetics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 DongYue Dadao, Nanchang 330209, China
| | - Peng Zhang
- Center for Molecular Diagnosis and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China; Jiangxi Provincial Center for Advanced Diagnostic Technology and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Medical Genetics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 DongYue Dadao, Nanchang 330209, China
| | - Zeqiong Cai
- The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Doudou Ren
- The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Chengsheng Zhang
- The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China; Center for Molecular Diagnosis and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China; Jiangxi Provincial Center for Advanced Diagnostic Technology and Precision Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 Dongyue Dadao, Nanchang 330209, China; Department of Medical Genetics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1519 DongYue Dadao, Nanchang 330209, China.
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G/meskel W, Desta K, Diriba R, Belachew M, Evans M, Cantarelli V, Urrego M, Sisay A, Gebreegziabxier A, Abera A. SARS-CoV-2 variant typing using real-time reverse transcription-polymerase chain reaction-based assays in Addis Ababa, Ethiopia. IJID REGIONS 2024; 11:100363. [PMID: 38634071 PMCID: PMC11021353 DOI: 10.1016/j.ijregi.2024.100363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/24/2024] [Accepted: 03/28/2024] [Indexed: 04/19/2024]
Abstract
Objectives This study aimed to determine the SARS-CoV-2 variants in the first four COVID-19 waves using polymerase chain reaction (PCR)-based variant detection in Addis Ababa, Ethiopia. Methods A cross-sectional study was conducted using repository nasopharyngeal samples stored at the Ethiopian Public Health Institute COVID-19 testing laboratory. Stored positive samples were randomly selected from the first four waves based on their sample collection date. A total of 641 nasopharyngeal samples were selected and re-tested for SARS-CoV-2. RNA was extracted using nucleic acid purification instrument. Then, SARS-CoV-2 detection was carried out using 10 μl RNA and 20 μl reverse transcription-PCR fluorescent mix. Cycle threshold values <38 were considered positive. Results A total of 374 samples qualified for B.1.617 Lineage and six spike gene mutation variant typing kits. The variant typing kits identified 267 (71.4%) from the total qualifying samples. Alpha, Beta, Delta, and Omicron were dominantly identified variants from waves I, II, III, and IV, respectively. From the total identified positive study samples, 243 of 267 (91%) of variants identified from samples had cycle threshold values <30. Conclusions The study data demonstrated that reverse transcription-PCR-based variant typing can provide additional screening opportunities where sequencing opportunity is inaccessible. The assays could be implemented in laboratories performing SARS-CoV-2 molecular testing.
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Affiliation(s)
- Wodneh G/meskel
- Department of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia
| | - Kassu Desta
- Department of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia
| | - Regasa Diriba
- Department of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia
| | - Mahlet Belachew
- Malaria and Neglected Tropical Diseases Research Team, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Martin Evans
- Global Public Health Programs, American Society for Microbiology, Washington, USA
| | - Vlademir Cantarelli
- Global Public Health Programs, American Society for Microbiology, Washington, USA
| | - Maritza Urrego
- Global Public Health Programs, American Society for Microbiology, Washington, USA
| | - Abay Sisay
- Department of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia
| | | | - Adugna Abera
- Malaria and Neglected Tropical Diseases Research Team, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
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Chakraborty C, Bhattacharya M, Islam MA, Zayed H, Ohimain EI, Lee SS, Bhattacharya P, Dhama K. Reverse Zoonotic Transmission of SARS-CoV-2 and Monkeypox Virus: A Comprehensive Review. J Microbiol 2024; 62:337-354. [PMID: 38777985 DOI: 10.1007/s12275-024-00138-9] [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: 04/12/2023] [Revised: 04/12/2024] [Accepted: 04/19/2024] [Indexed: 05/25/2024]
Abstract
Reverse zoonosis reveals the process of transmission of a pathogen through the human-animal interface and the spillback of the zoonotic pathogen. In this article, we methodically demonstrate various aspects of reverse zoonosis, with a comprehensive discussion of SARS-CoV-2 and MPXV reverse zoonosis. First, different components of reverse zoonosis, such as humans, different pathogens, and numerous animals (poultry, livestock, pets, wild animals, and zoo animals), have been demonstrated. Second, it explains the present status of reverse zoonosis with different pathogens during previous occurrences of various outbreaks, epidemics, and pandemics. Here, we present 25 examples from literature. Third, using several examples, we comprehensively illustrate the present status of the reverse zoonosis of SARS-CoV-2 and MPXV. Here, we have provided 17 examples of SARS-CoV-2 reverse zoonosis and two examples of MPXV reverse zoonosis. Fourth, we have described two significant aspects of reverse zoonosis: understanding the fundamental aspects of spillback and awareness. These two aspects are required to prevent reverse zoonosis from the current infection with two significant viruses. Finally, the One Health approach was discussed vividly, where we urge scientists from different areas to work collaboratively to solve the issue of reverse zoonosis.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India.
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, VyasaVihar, Balasore, 756020, Odisha, India
| | - Md Aminul Islam
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh
| | - Hatem Zayed
- Department of Biomedical Sciences, College of Health and Sciences, Qatar University, QU Health, Doha, Qatar
| | - Elijah Ige Ohimain
- Microbiology Department, Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon, 24252, Republic of Korea.
| | - Prosun Bhattacharya
- COVID-19 Research, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, Uttar Pradesh, India
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5
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Gerashchenko GV, Hryshchenko NV, Melnichuk NS, Marchyshak TV, Chernushyn SY, Demchyshina IV, Chernenko LM, Kuzin IV, Tkachuk ZY, Kashuba VI, Tukalo MA. Genetic characteristics of SARS-CoV-2 virus variants observed upon three waves of the COVID-19 pandemic in Ukraine between February 2021-January 2022. Heliyon 2024; 10:e25618. [PMID: 38380034 PMCID: PMC10877268 DOI: 10.1016/j.heliyon.2024.e25618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 12/06/2023] [Accepted: 01/31/2024] [Indexed: 02/22/2024] Open
Abstract
The aim of our study was to identify and characterize the SARS-CoV-2 variants in COVID-19 patients' samples collected from different regions of Ukraine to determine the relationship between SARS-CoV-2 phylogenetics and COVID-19 epidemiology. Patients and methods Samples were collected from COVID-19 patients during 2021 and the beginning of 2022 (401 patients). The SARS-CoV-2 genotyping was performed by parallel whole genome sequencing. Results The obtained SARS-CoV-2 genotypes showed that three waves of the COVID-19 pandemic in Ukraine were represented by three main variants of concern (VOC), named Alpha, Delta and Omicron; each VOC successfully replaced the earlier variant. The VOC Alpha strain was presented by one B.1.1.7 lineage, while VOC Delta showed a spectrum of 25 lineages that had different prevalence in 19 investigated regions of Ukraine. The VOC Omicron in the first half of the pandemic was represented by 13 lines that belonged to two different clades representing B.1 and B.2 Omicron strains. Each of the three epidemic waves (VOC Alpha, Delta, and Omicron) demonstrated their own course of disease, associated with genetic changes in the SARS-CoV-2 genome. The observed epidemiological features are associated with the genetic characteristics of the different VOCs, such as point mutations, deletions and insertions in the viral genome. A phylogenetic and transmission analysis showed the different mutation rates; there were multiple virus sources with a limited distribution between regions. Conclusions The evolution of SARS-CoV-2 virus and high levels of morbidity due to COVID-19 are still registered in the world. Observed multiple virus sourses with the limited distribution between regions indicates the high efficiency of the anti-epidemic policy pursued by the Ministry of Health of Ukraine to prevent the spread of the epidemic, despite the low level of vaccination of the Ukrainian population.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Zenovii Yu Tkachuk
- Institute of Molecular Biology and Genetics of NAS of Ukraine, Kyiv, Ukraine
| | - Vladimir I. Kashuba
- Institute of Molecular Biology and Genetics of NAS of Ukraine, Kyiv, Ukraine
| | - Mykhailo A. Tukalo
- Institute of Molecular Biology and Genetics of NAS of Ukraine, Kyiv, Ukraine
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6
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Su WC, Chen ZY, Chang YS, Jeng KS, Le UNP, Chou YC, Kuo LL, Melano I, Jesse, Wang WJ, Song YC, Li SR, Hung MC, Lai MMC, Lin CW. Functional assessments of SARS-CoV-2 single-round infectious particles with variant-specific spike proteins on infectivity, drug sensitivity, and antibody neutralization. Antiviral Res 2023; 220:105744. [PMID: 37944823 DOI: 10.1016/j.antiviral.2023.105744] [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: 07/29/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
Working with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is restricted to biosafety level III (BSL-3) laboratory. The study used a trans-complementation system consisting of virus-like particles (VLPs) and DNA-launched replicons to generate SARS-CoV-2 single-round infectious particles (SRIPs) with variant-specific spike (S) proteins. S gene of Wuhan-Hu-1 strain (SWH1) or Omicron BA.1 variant (SBA.1), along with the envelope (E) and membrane (M) genes, were cloned into a tricistronic vector, co-expressed in the cells to produce variant-specific S-VLPs. Additionally, the replicon of the WH1-like strain without S, E, M and accessory genes, was engineered under the control by a CMV promoter to produce self-replicating RNAs within VLP-producing cells, led to create SWH1- and SBA.1-based SARS-CoV-2 SRIPs. The SBA.1-based SRIP showed lower virus yield, replication, N protein expression, fusogenicity, and infectivity compared to SWH1-based SRIPs. SBA.1-based SRIP also exhibited intermediate resistance to neutralizing antibodies produced by SWH1-based vaccines, but were effective at infecting cells with low ACE2 expression. Importantly, both S-based SRIPs responded similarly to remdesivir and GC376, with EC50 values ranging from 0.17 to 1.46 μM, respectively. The study demonstrated that this trans-complementation system is a reliable and efficient tool for generating SARS-CoV-2 SRIPs with variant-specific S proteins. SARS-CoV-2 SRIPs, mimicking authentic live viruses, facilitate comprehensive analysis of variant-specific virological characteristics, including antibody neutralization, and drug sensitivity in non-BSL-3 laboratories.
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Affiliation(s)
- Wen-Chi Su
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; International Master's Program of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, 404327, Taiwan; Drug Development Center, China Medical University, Taichung, 404333, Taiwan
| | - Zan-Yu Chen
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan
| | - Young-Sheng Chang
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan
| | - King-Song Jeng
- Department of Medical Research, China Medical University Hospital, Taichung, 404327, Taiwan
| | - Uyen Nguyen Phuong Le
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan; Department of Biological Science and Technology, China Medical University, Taichung, 404333, Taiwan
| | - Yu-Chi Chou
- Biomedical Translation Research Center, Academia Sinica, Taipei, 115201, Taiwan
| | - Li-Lan Kuo
- International Master's Program of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan
| | - Ivonne Melano
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan
| | - Jesse
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan
| | - Wei-Jan Wang
- Department of Biological Science and Technology, China Medical University, Taichung, 404333, Taiwan
| | - Ying-Chyi Song
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Sin-Rong Li
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan; Department of Laboratory Medicine, China Medical University Hospital, Taichung, 404327, Taiwan
| | - Mien-Chie Hung
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Research Center for Cancer Biology, China Medical University, Taichung, 404327, Taiwan; Center for Molecular Medicine, China Medical University Hospital, Taichung, 404327, Taiwan
| | - Michael M C Lai
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Institute of Molecular Biology, Academia Sinica, Taipei, 115201, Taiwan.
| | - Cheng-Wen Lin
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Drug Development Center, China Medical University, Taichung, 404333, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan; Department of Biological Science and Technology, China Medical University, Taichung, 404333, Taiwan; Department of Medical Laboratory Science and Biotechnology, Asia University, Wufeng, Taichung, 413305, Taiwan.
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Ashraf J, Bukhari SARS, Kanji A, Iqbal T, Yameen M, Nisar MI, Khan W, Hasan Z. Substitution spectra of SARS-CoV-2 genome from Pakistan reveals insights into the evolution of variants across the pandemic. Sci Rep 2023; 13:20955. [PMID: 38017265 PMCID: PMC10684861 DOI: 10.1038/s41598-023-48272-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 11/24/2023] [Indexed: 11/30/2023] Open
Abstract
Changing morbidity and mortality due to COVID-19 across the pandemic has been linked with factors such as the emergence of SARS-CoV-2 variants and vaccination. Mutations in the Spike glycoprotein enhanced viral transmission and virulence. We investigated whether SARS-CoV-2 mutation rates and entropy were associated COVID-19 in Pakistan, before and after the introduction of vaccinations. We analyzed 1,705 SARS-CoV-2 genomes using the Augur phylogenetic pipeline. Substitution rates and entropy across the genome, and in the Spike glycoprotein were compared between 2020, 2021 and 2022 (as periods A, B and C). Mortality was greatest in B whilst cases were highest during C. In period A, G clades were predominant, and substitution rate was 5.25 × 10-4 per site per year. In B, Delta variants dominated, and substitution rates increased to 9.74 × 10-4. In C, Omicron variants led to substitution rates of 5.02 × 10-4. Genome-wide entropy was the highest during B particularly, at Spike E484K and K417N. During C, genome-wide mutations increased whilst entropy was reduced. Enhanced SARS-CoV-2 genome substitution rates were associated with a period when more virulent SARS-CoV-2 variants were prevalent. Reduced substitution rates and stabilization of genome entropy was subsequently evident when vaccinations were introduced. Whole genome entropy analysis can help predict virus evolution to guide public health interventions.
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Affiliation(s)
- Javaria Ashraf
- Department of Pathology and Laboratory Medicine, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan
| | - Sayed Ali Raza Shah Bukhari
- Department of Pathology and Laboratory Medicine, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan
| | - Akbar Kanji
- Department of Pathology and Laboratory Medicine, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan
| | - Tulaib Iqbal
- Department of Pathology and Laboratory Medicine, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan
| | - Maliha Yameen
- Department of Pathology and Laboratory Medicine, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan
| | - Muhammad Imran Nisar
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
- Department of Pediatrics and Child Health, CITRIC Center for Bioinformatics and Computational Biology, Aga Khan University, Karachi, Pakistan
| | - Waqasuddin Khan
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
- Department of Pediatrics and Child Health, CITRIC Center for Bioinformatics and Computational Biology, Aga Khan University, Karachi, Pakistan
| | - Zahra Hasan
- Department of Pathology and Laboratory Medicine, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
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8
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Li X, Trovão NS, Wertheim JO, Baele G, de Bernardi Schneider A. Optimizing ancestral trait reconstruction of large HIV Subtype C datasets through multiple-trait subsampling. Virus Evol 2023; 9:vead069. [PMID: 38046219 PMCID: PMC10691791 DOI: 10.1093/ve/vead069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/29/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023] Open
Abstract
Large datasets along with sampling bias represent a challenge for phylodynamic reconstructions, particularly when the study data are obtained from various heterogeneous sources and/or through convenience sampling. In this study, we evaluate the presence of unbalanced sampled distribution by collection date, location, and risk group of human immunodeficiency virus Type 1 Subtype C using a comprehensive subsampling strategy and assess their impact on the reconstruction of the viral spatial and risk group dynamics using phylogenetic comparative methods. Our study shows that a most suitable dataset for ancestral trait reconstruction can be obtained through subsampling by all available traits, particularly using multigene datasets. We also demonstrate that sampling bias is inflated when considerable information for a given trait is unavailable or of poor quality, as we observed for the trait risk group. In conclusion, we suggest that, even if traits are not well recorded, including them deliberately optimizes the representativeness of the original dataset rather than completely excluding them. Therefore, we advise the inclusion of as many traits as possible with the aid of subsampling approaches in order to optimize the dataset for phylodynamic analysis while reducing the computational burden. This will benefit research communities investigating the evolutionary and spatio-temporal patterns of infectious diseases.
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Affiliation(s)
| | - Nídia S Trovão
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, 31 Center Dr, Bethesda, MA 20892, USA
| | - Joel O Wertheim
- Department of Medicine, University of California, La Jolla, San Diego, CA 92093, USA
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven BE-3000, Belgium
| | - Adriano de Bernardi Schneider
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Ningbo No.2 Hospital, Ningbo 315010, China
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo 315000, China
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9
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Bhattacharya M, Chatterjee S, Lee SS, Dhama K, Chakraborty C. Antibody evasion associated with the RBD significant mutations in several emerging SARS-CoV-2 variants and its subvariants. Drug Resist Updat 2023; 71:101008. [PMID: 37757651 DOI: 10.1016/j.drup.2023.101008] [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: 01/18/2023] [Revised: 09/12/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023]
Abstract
Since the origin of the wild strain of SARS-CoV-2, several variants have emerged, which were designated as VOC, VOI, and VUM from time to time. The Omicron variant is noted as the recent VOC. After the origin of the Omicron variant on November 2021, several subvariants of Omicron have originated subsequently, like BA.1/2, BA.2.75/2.75.2, BA.4/5, BF.7, BQ.1/1.1, XBB.1/1.5, etc. which are circulated throughout the globe. Scientists reported that antibody escape is a common phenomenon observed in all the previous VOCs, VOIs, including Omicron and its subvariants. The mutations in the NTD (N-terminal domain) and RBD (Receptor-binding domain) of the spike of these variants and subvariants are responsible for antibody escape. At the same time, it has been noted that spike RBD mutations have been increasing in the last few months. This review illustrates significant RBD mutations namely R346T, K417N/T, L452R, N460K E484A/K/Q, and N501Y found in the previous emerging SARS-CoV-2 variants, including Omicron and its subvariants in high frequency and their role in antibody evasion and immune evasion. The review also describes the different classes of nAb responsible for antibody escape in SARS-CoV-2 variants and the molecular perspective of the mutation in nAb escape. It will help the future researchers to develop efficient vaccines which can finally prevent the pandemic.
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Affiliation(s)
- Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India
| | - Srijan Chatterjee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata 700126, West Bengal, India.
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10
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Chatterjee S, Bhattacharya M, Dhama K, Lee SS, Chakraborty C. Resistance to nirmatrelvir due to mutations in the Mpro in the subvariants of SARS-CoV-2 Omicron: Another concern? MOLECULAR THERAPY - NUCLEIC ACIDS 2023; 32:263-266. [PMID: 37041859 PMCID: PMC10078092 DOI: 10.1016/j.omtn.2023.03.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
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11
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Saldivar-Espinoza B, Garcia-Segura P, Novau-Ferré N, Macip G, Martínez R, Puigbò P, Cereto-Massagué A, Pujadas G, Garcia-Vallve S. The Mutational Landscape of SARS-CoV-2. Int J Mol Sci 2023; 24:ijms24109072. [PMID: 37240420 DOI: 10.3390/ijms24109072] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Mutation research is crucial for detecting and treating SARS-CoV-2 and developing vaccines. Using over 5,300,000 sequences from SARS-CoV-2 genomes and custom Python programs, we analyzed the mutational landscape of SARS-CoV-2. Although almost every nucleotide in the SARS-CoV-2 genome has mutated at some time, the substantial differences in the frequency and regularity of mutations warrant further examination. C>U mutations are the most common. They are found in the largest number of variants, pangolin lineages, and countries, which indicates that they are a driving force behind the evolution of SARS-CoV-2. Not all SARS-CoV-2 genes have mutated in the same way. Fewer non-synonymous single nucleotide variations are found in genes that encode proteins with a critical role in virus replication than in genes with ancillary roles. Some genes, such as spike (S) and nucleocapsid (N), show more non-synonymous mutations than others. Although the prevalence of mutations in the target regions of COVID-19 diagnostic RT-qPCR tests is generally low, in some cases, such as for some primers that bind to the N gene, it is significant. Therefore, ongoing monitoring of SARS-CoV-2 mutations is crucial. The SARS-CoV-2 Mutation Portal provides access to a database of SARS-CoV-2 mutations.
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Affiliation(s)
- Bryan Saldivar-Espinoza
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Pol Garcia-Segura
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Nil Novau-Ferré
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Guillem Macip
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | | | - Pere Puigbò
- Department of Biology, University of Turku, 20500 Turku, Finland
- Department of Biochemistry and Biotechnology, Rovira i Virgili University, 43007 Tarragona, Spain
- Eurecat, Technology Centre of Catalonia, Unit of Nutrition and Health, 43204 Reus, Spain
| | - Adrià Cereto-Massagué
- EURECAT Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), 43204 Reus, Spain
| | - Gerard Pujadas
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Santiago Garcia-Vallve
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
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12
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Bhattacharya M, Alshammari A, Alharbi M, Dhama K, Lee SS, Chakraborty C. A novel mutation-proof, next-generation vaccine to fight against upcoming SARS-CoV-2 variants and subvariants, designed through AI enabled approaches and tools, along with the machine learning based immune simulation: A vaccine breakthrough. Int J Biol Macromol 2023; 242:124893. [PMID: 37207746 DOI: 10.1016/j.ijbiomac.2023.124893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/27/2023] [Accepted: 05/12/2023] [Indexed: 05/21/2023]
Abstract
Emerging SARS-CoV-2 variants and subvariants are great concerns for their significant mutations, which are also responsible for vaccine escape. Therefore, the study was undertaken to develop a mutation-proof, next-generation vaccine to protect against all upcoming SARS-CoV-2 variants. We used advanced computational and bioinformatics approaches to develop a multi-epitopic vaccine, especially the AI model for mutation selection and machine learning (ML) strategies for immune simulation. AI-enabled and the top-ranked antigenic selection approaches were used to select nine mutations from 835 RBD mutations. We selected twelve common antigenic B cell and T cell epitopes (CTL and HTL) containing the nine RBD mutations and joined them with the adjuvants, PADRE sequence, and suitable linkers. The constructs' binding affinity was confirmed through docking with TLR4/MD2 complex and showed significant binding free energy (-96.67 kcal mol-1) with positive binding affinity. Similarly, the calculated eigenvalue (2.428517e-05) from the NMA of the complex reveals proper molecular motion and superior residues' flexibility. Immune simulation shows that the candidate can induce a robust immune response. The designed mutation-proof, multi-epitopic vaccine could be a remarkable candidate for upcoming SARS-CoV-2 variants and subvariants. The study method might guide researchers in developing AI-ML and immunoinformatics-based vaccines for infectious disease.
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Affiliation(s)
- Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh 11451, Saudi Arabia
| | - Metab Alharbi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh 11451, Saudi Arabia
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India.
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13
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SARS-CoV-2 Vaccines, Vaccine Development Technologies, and Significant Efforts in Vaccine Development during the Pandemic: The Lessons Learned Might Help to Fight against the Next Pandemic. Vaccines (Basel) 2023; 11:vaccines11030682. [PMID: 36992266 DOI: 10.3390/vaccines11030682] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/10/2023] [Accepted: 03/15/2023] [Indexed: 03/19/2023] Open
Abstract
We are currently approaching three years since the beginning of the coronavirus disease 2019 (COVID-19) pandemic. SARS-CoV-2 has caused extensive disruptions in everyday life, public health, and the global economy. Thus far, the vaccine has worked better than expected against the virus. During the pandemic, we experienced several things, such as the virus and its pathogenesis, clinical manifestations, and treatments; emerging variants; different vaccines; and the vaccine development processes. This review describes how each vaccine has been developed and approved with the help of modern technology. We also discuss critical milestones during the vaccine development process. Several lessons were learned from different countries during the two years of vaccine research, development, clinical trials, and vaccination. The lessons learned during the vaccine development process will help to fight the next pandemic.
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14
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Hariharan VN, Shin M, Chang CW, O’Reilly D, Biscans A, Yamada K, Guo Z, Somasundaran M, Tang Q, Monopoli K, Krishnamurthy PM, Devi G, McHugh N, Cooper DA, Echeverria D, Cruz J, Chan IL, Liu P, Lim SY, McConnell J, Singh SP, Hildebrand S, Sousa J, Davis SM, Kennedy Z, Ferguson C, Godinho BMDC, Thillier Y, Caiazzi J, Ly S, Muhuri M, Kelly K, Humphries F, Cousineau A, Parsi KM, Li Q, Wang Y, Maehr R, Gao G, Korkin D, McDougall WM, Finberg RW, Fitzgerald KA, Wang JP, Watts JK, Khvorova A. Divalent siRNAs are bioavailable in the lung and efficiently block SARS-CoV-2 infection. Proc Natl Acad Sci U S A 2023; 120:e2219523120. [PMID: 36893269 PMCID: PMC10089225 DOI: 10.1073/pnas.2219523120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/05/2023] [Indexed: 03/11/2023] Open
Abstract
The continuous evolution of SARS-CoV-2 variants complicates efforts to combat the ongoing pandemic, underscoring the need for a dynamic platform for the rapid development of pan-viral variant therapeutics. Oligonucleotide therapeutics are enhancing the treatment of numerous diseases with unprecedented potency, duration of effect, and safety. Through the systematic screening of hundreds of oligonucleotide sequences, we identified fully chemically stabilized siRNAs and ASOs that target regions of the SARS-CoV-2 genome conserved in all variants of concern, including delta and omicron. We successively evaluated candidates in cellular reporter assays, followed by viral inhibition in cell culture, with eventual testing of leads for in vivo antiviral activity in the lung. Previous attempts to deliver therapeutic oligonucleotides to the lung have met with only modest success. Here, we report the development of a platform for identifying and generating potent, chemically modified multimeric siRNAs bioavailable in the lung after local intranasal and intratracheal delivery. The optimized divalent siRNAs showed robust antiviral activity in human cells and mouse models of SARS-CoV-2 infection and represent a new paradigm for antiviral therapeutic development for current and future pandemics.
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Affiliation(s)
- Vignesh N. Hariharan
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Minwook Shin
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Ching-Wen Chang
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Daniel O’Reilly
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Annabelle Biscans
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Ken Yamada
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Zhiru Guo
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Mohan Somasundaran
- Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Qi Tang
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Kathryn Monopoli
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | | | - Gitali Devi
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Nicholas McHugh
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - David A. Cooper
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Dimas Echeverria
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - John Cruz
- Department of Pathology, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Io Long Chan
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Ping Liu
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Sun-Young Lim
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Jill McConnell
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Satya Prakash Singh
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Samuel Hildebrand
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Jacquelyn Sousa
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Sarah M. Davis
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Zachary Kennedy
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Chantal Ferguson
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Bruno M. D. C. Godinho
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Yann Thillier
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Jillian Caiazzi
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Socheata Ly
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Manish Muhuri
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, MA01655
- Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Karen Kelly
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Fiachra Humphries
- Program in Innate Immunity, Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Alyssa Cousineau
- Diabetes Center of Excellence and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Krishna Mohan Parsi
- Diabetes Center of Excellence and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Qi Li
- MassBiologics, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Yang Wang
- MassBiologics, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - René Maehr
- Diabetes Center of Excellence and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Guangping Gao
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, MA01655
- Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, MA01655
- Li Weibo Institute for Rare Diseases Research, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Dmitry Korkin
- Department of Computer Science, and Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA01609
| | - William M. McDougall
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Robert W. Finberg
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Katherine A. Fitzgerald
- Program in Innate Immunity, Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
- Li Weibo Institute for Rare Diseases Research, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Jennifer P. Wang
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Jonathan K. Watts
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
- Li Weibo Institute for Rare Diseases Research, University of Massachusetts Chan Medical School, Worcester, MA01655
| | - Anastasia Khvorova
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA01655
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15
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Bhattacharya M, Chatterjee S, Lee SS, Chakraborty C. Therapeutic applications of nanobodies against SARS-CoV-2 and other viral infections: Current update. Int J Biol Macromol 2023; 229:70-80. [PMID: 36586649 PMCID: PMC9797221 DOI: 10.1016/j.ijbiomac.2022.12.284] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/15/2022] [Accepted: 12/25/2022] [Indexed: 12/30/2022]
Abstract
In the last two years, the world encountered the SARS-CoV-2 virus, which is still dominating the population due to the absence of a viable treatment. To eradicate the global pandemic, scientists, doctors, and researchers took an exceptionally significant initiative towards the development of effective therapeutics to save many lifes. This review discusses about the single-domain antibodies (sdAbs), also called nanobodies, their structure, and their types against the infections of dreadful SARS-CoV-2 virus. A precise description highlights the nanobodies and their therapeutic application against the other selected viruses. It aims to focus on the extraordinary features of these antibodies compared to the conventional therapeutics like mAbs, convalescent plasma therapy, and vaccines. The stable structure of these nanobodies along with the suitable mechanism of action also confers greater resistance to the evolving variants with numerous mutations. The nanobodies developed against SARS-CoV-2 and its mutant variants have shown the greater neutralization potential than the primitive ones. Engineering of these specialized antibodies by modern biotechnological approaches will surely be more beneficial in treating this COVID-19 pandemic along with certain other viral infections.
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Affiliation(s)
- Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India
| | - Srijan Chatterjee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India.
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16
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Analysis of Antibodies Induced after SARS-CoV-2 Vaccination Using Antigen Coded Bead Array Luminex Technology. Vaccines (Basel) 2023; 11:vaccines11020442. [PMID: 36851319 PMCID: PMC9964277 DOI: 10.3390/vaccines11020442] [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: 01/18/2023] [Revised: 02/02/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
Objectives. Since the outbreak of SARS-CoV-2 in late 2019, nearly 12.2 billion doses of the COVID-19 vaccine have been administered worldwide; however, the humoral immune responses induced by different types of vaccines are yet to be fully validated. Methods. We analyzed antibody levels in 100 serum samples after vaccination with different types of COVID-19 vaccines and their reactivity against the RBD antigen of Delta and Omicron variants using a bead-based microarray. Results. Elevated levels of anti-wild-type (WT)-RBD IgG and anti-WT-NP IgG were detected in participants who received two doses of the inactivated vaccines (CoronaVac or BBIBP-CorV) and three doses of the recombinant spike protein vaccine (ZF2001), indicating that antibody responses to SARS-CoV-2 were generated regardless of the vaccine administered. We found highly correlated levels of serum anti-RBD IgG and anti-NP IgG (r = 0.432, p < 0.001). We observed that the antibodies produced in vivo after COVID-19 vaccination still reacted with variants of SARS-CoV-2 (p < 0.0001). Conclusions. Our results show that high levels of specific antibodies can be produced after completion of COVID-19 vaccination (two doses of the inactivated vaccines or three doses of ZF2001), with some degree of cross-reactivity to the RBD antigen of Delta and Omicron variants, and provide an accessible and practical experimental method for post-vaccination antibody detection.
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17
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Bhattacharya M, Chatterjee S, Sharma AR, Lee SS, Chakraborty C. Delta variant (B.1.617.2) of SARS-CoV-2: current understanding of infection, transmission, immune escape, and mutational landscape. Folia Microbiol (Praha) 2023; 68:17-28. [PMID: 35962276 PMCID: PMC9374302 DOI: 10.1007/s12223-022-01001-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 08/07/2022] [Indexed: 12/01/2022]
Abstract
The Delta variant is one of the alarming variants of the SARS-CoV-2 virus that have been immensely detrimental and a significant cause of the prolonged pandemic (B.1.617.2). During the SARS-CoV-2 pandemic from December 2020 to October 2021, the Delta variant showed global dominance, and afterwards, the Omicron variant showed global dominance. Delta shows high infectivity rate which accounted for nearly 70% of the cases after December 2020. This review discusses the additional attributes that make the Delta variant so infectious and transmissible. The study also focuses on the significant mutations, namely the L452R and T478K present on the receptor-binding domain of spike (S)-glycoprotein, which confers specific alterations to the Delta variant. Considerably, we have also highlighted other notable factors such as the immune escape, infectivity and re-infectivity, vaccine escape, Ro number, S-glycoprotein stability, cleavage pattern, and its binding affinity with the host cell receptor protein. We have also emphasized clinical manifestations, symptomatology, morbidity, and mortality for the Delta variant compared with other significant SARS-CoV-2 variants. This review will help the researchers to get an elucidative view of the Delta variant to adopt some practical strategies to minimize the escalating spread of the SARS-CoV-2 Delta variant.
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Affiliation(s)
- Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore-756020, Odisha, India
| | - Srijan Chatterjee
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India.
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18
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Rak A, Gorbunov N, Kostevich V, Sokolov A, Prokopenko P, Rudenko L, Isakova-Sivak I. Assessment of Immunogenic and Antigenic Properties of Recombinant Nucleocapsid Proteins of Five SARS-CoV-2 Variants in a Mouse Model. Viruses 2023; 15:230. [PMID: 36680269 PMCID: PMC9861333 DOI: 10.3390/v15010230] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/17/2023] Open
Abstract
COVID-19 cases caused by new variants of highly mutable SARS-CoV-2 continue to be identified worldwide. Effective control of the spread of new variants can be achieved through targeting of conserved viral epitopes. In this regard, the SARS-CoV-2 nucleocapsid (N) protein, which is much more conserved than the evolutionarily influenced spike protein (S), is a suitable antigen. The recombinant N protein can be considered not only as a screening antigen but also as a basis for the development of next-generation COVID-19 vaccines, but little is known about induction of antibodies against the N protein via different SARS-CoV-2 variants. In addition, it is important to understand how antibodies produced against the antigen of one variant can react with the N proteins of other variants. Here, we used recombinant N proteins from five SARS-CoV-2 strains to investigate their immunogenicity and antigenicity in a mouse model and to obtain and characterize a panel of hybridoma-derived monoclonal anti-N antibodies. We also analyzed the variable epitopes of the N protein that are potentially involved in differential recognition of antiviral antibodies. These results will further deepen our knowledge of the cross-reactivity of the humoral immune response in COVID-19.
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Affiliation(s)
- Alexandra Rak
- Department of Virology, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
| | - Nikolay Gorbunov
- Department of Molecular Genetics, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
| | - Valeria Kostevich
- Department of Molecular Genetics, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
| | - Alexey Sokolov
- Department of Molecular Genetics, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
| | - Polina Prokopenko
- Department of Virology, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
| | - Larisa Rudenko
- Department of Virology, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
| | - Irina Isakova-Sivak
- Department of Virology, Institute of Experimental Medicine, Saint Petersburg 197022, Russia
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19
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Pagani I, Ghezzi S, Alberti S, Poli G, Vicenzi E. Origin and evolution of SARS-CoV-2. EUROPEAN PHYSICAL JOURNAL PLUS 2023; 138:157. [PMID: 36811098 PMCID: PMC9933829 DOI: 10.1140/epjp/s13360-023-03719-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 01/19/2023] [Indexed: 05/14/2023]
Abstract
SARS-CoV-2 is a novel coronavirus that emerged in China at the end of 2019 causing the severe disease known as coronavirus disease 2019 (COVID-19). SARS-CoV-2, as to the previously highly pathogenic human coronaviruses named SARS-CoV, the etiological agent of severe acute respiratory syndrome (SARS), has a zoonotic origin, although SARS-CoV-2 precise chain of animal-to-human transmission remains undefined. Unlike the 2002-2003 pandemic caused by SARS-CoV whose extinction from the human population was achieved in eight months, SARS-CoV-2 has been spreading globally in an immunologically naïve population in an unprecedented manner. The efficient infection and replication of SARS-CoV-2 has resulted in the emergence of viral variants that have become predominant posing concerns about their containment as they are more infectious with variable pathogenicity in respect to the original virus. Although vaccine availability is limiting severe disease and death caused by SARS-CoV-2 infection, its extinction is far to be close and predictable. In this regard, the emersion of the Omicron viral variant in November 2021 was characterized by humoral immune escape and it has reinforced the importance of the global monitoring of SARS-CoV-2 evolution. Given the importance of the SARS-CoV-2 zoonotic origin, it will also be crucial to monitor the animal-human interface to be better prepared to cope with future infections of pandemic potential.
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Affiliation(s)
- Isabel Pagani
- Viral Pathogenesis and Biosafety Unit, Division of Immunology, Transplantation, and Infectious Diseases, San Raffaele Scientific Institute, Via Olgettina, 58, Milan, Italy
| | - Silvia Ghezzi
- Viral Pathogenesis and Biosafety Unit, Division of Immunology, Transplantation, and Infectious Diseases, San Raffaele Scientific Institute, Via Olgettina, 58, Milan, Italy
| | - Simone Alberti
- Viral Pathogenesis and Biosafety Unit, Division of Immunology, Transplantation, and Infectious Diseases, San Raffaele Scientific Institute, Via Olgettina, 58, Milan, Italy
| | - Guido Poli
- Human Immuno-Virology (H.I.V.) Unit, Division of Immunology, Transplantation, and Infectious Diseases, San Raffaele Scientific Institute, Via Olgettina, 58, Milan, Italy
- Vita-Salute San Raffaele University School of Medicine, Via Olgettina, 58, Milan, Italy
| | - Elisa Vicenzi
- Viral Pathogenesis and Biosafety Unit, Division of Immunology, Transplantation, and Infectious Diseases, San Raffaele Scientific Institute, Via Olgettina, 58, Milan, Italy
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20
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Alquraan L, Alzoubi KH, Rababa'h SY. Mutations of SARS-CoV-2 and their impact on disease diagnosis and severity. INFORMATICS IN MEDICINE UNLOCKED 2023; 39:101256. [PMID: 37131549 PMCID: PMC10127666 DOI: 10.1016/j.imu.2023.101256] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/22/2023] [Accepted: 04/24/2023] [Indexed: 05/04/2023] Open
Abstract
Numerous variations of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), including D614G, B.1.1.7 (United Kingdom), B.1.1.28 (Brazil P1, P2), CAL.20C (Southern California), B.1.351 (South Africa), B.1.617 (B.1.617.1 Kappa & Delta B.1.617.2) and B.1.1.529, have been reported worldwide. The receptor-binding domain (RBD) of the spike (S) protein is involved in virus-cell binding, where virus-neutralizing antibodies (NAbs) react. Novel variants in the S-protein could maximize viral affinity for the human angiotensin-converting enzyme 2 (ACE2) receptor and increase virus transmission. Molecular detection with false-negative results may refer to mutations in the part of the virus's genome used for virus diagnosis. Furthermore, these changes in S-protein structure alter the neutralizing ability of NAbs, resulting in a reduction in vaccine efficiency. Further information is needed to evaluate how new mutations may affect vaccine efficacy.
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Affiliation(s)
- Laiali Alquraan
- Department of Biology, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Karem H Alzoubi
- Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Suzie Y Rababa'h
- Department of Medical Science, Irbid Faculty, Al-Balqa Applied University (BAU), Irbid, Jordan
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21
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Chakraborty C, Bhattacharya M, Chatterjee S, Sharma AR, Saha RP, Dhama K, Agoramoorthy G. Integrative Bioinformatics Approaches Indicate a Particular Pattern of Some SARS-CoV-2 and Non-SARS-CoV-2 Proteins. Vaccines (Basel) 2022; 11:vaccines11010038. [PMID: 36679883 PMCID: PMC9864461 DOI: 10.3390/vaccines11010038] [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: 11/08/2022] [Revised: 12/12/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Pattern recognition plays a critical role in integrative bioinformatics to determine the structural patterns of proteins of viruses such as SARS-CoV-2. This study identifies the pattern of SARS-CoV-2 proteins to depict the structure-function relationships of the protein alphabets of SARS-CoV-2 and COVID-19. The assembly enumeration algorithm, Anisotropic Network Model, Gaussian Network Model, Markovian Stochastic Model, and image comparison protein-like alphabets were used. The distance score was the lowest with 22 for "I" and highest with 40 for "9". For post-processing and decision, two protein alphabets "C" (PDB ID: 6XC3) and "S" (PDB ID: 7OYG) were evaluated to understand the structural, functional, and evolutionary relationships, and we found uniqueness in the functionality of proteins. Here, models were constructed using "SARS-CoV-2 proteins" (12 numbers) and "non-SARS-CoV-2 proteins" (14 numbers) to create two words, "SARS-CoV-2" and "COVID-19". Similarly, we developed two slogans: "Vaccinate the world against COVID-19" and "Say no to SARS-CoV-2", which were made with the proteins structure. It might generate vaccine-related interest to broad reader categories. Finally, the evolutionary process appears to enhance the protein structure smoothly to provide suitable functionality shaped by natural selection.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata 700126, West Bengal, India
- Correspondence:
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India
| | - Srijan Chatterjee
- Institute for Skeletal Aging and Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging and Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Rudra P. Saha
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata 700126, West Bengal, India
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India
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22
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Chakraborty C, Bhattacharya M, Sharma AR, Dhama K. Evolution, epidemiology, geographical distribution, and mutational landscape of newly emerging monkeypox virus. GeroScience 2022; 44:2895-2911. [PMID: 36094771 PMCID: PMC9466330 DOI: 10.1007/s11357-022-00659-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/05/2022] [Indexed: 01/18/2023] Open
Abstract
Recent monkeypox (MPX) outbreaks are major ones in non-endemic countries. The present study analyzed molecular phylogenetics, divergence, epidemiology, the geographical distribution, entropy diversity of genome, mutational landscape, and evolution of the monkeypox virus (MPXV) genome and the current MPXV is entitled "hMPXV1." We used different in-silico and statistical methods to study our objectives. The developed phylogram from molecular phylogenetics describes the origin and evolution of hMPXV1 of A, A.1, A.1.1, A.2, and B.1 lineages. The microevolution of B.1 lineage shows its evolution from May to August 2022. B.1 lineage is further adapting and showing more mutation and sub-lineages. The scatter plot of all lineages shows the clustering pattern of lineages and the divergence. We also developed two statistical models of confirmed cases and a diagram of the age-related pattern of infected cases to illustrate the epidemiology of the MPX outbreaks. The entropy diversity and mutational landscape of the hMPXV1 genome were analyzed in nucleotide and codon contexts. Our study has shown the in-depth evolution pattern of different lineages of the hMPXV1. We found B.1 lineage is associated with the current outbreaks. The mutational landscape informs about the slow mutation of the virus. Finally, the study might assists the new therapeutic development considering all the above points and would help the researcher to set up their future research directions.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India.
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, 756020, Odisha, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh, 243122, Bareilly, India
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23
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Chakraborty C. Cases of BA.2.75 and recent BA.2.75.2 subvariant of Omicron are increasing in India: Is it alarming at the global level? Ann Med Surg (Lond) 2022; 84:104963. [PMCID: PMC9671875 DOI: 10.1016/j.amsu.2022.104963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 11/12/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Chiranjib Chakraborty
- Corresponding author. Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India.
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24
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A Comprehensive Review on the Current Vaccines and Their Efficacies to Combat SARS-CoV-2 Variants. Vaccines (Basel) 2022; 10:vaccines10101655. [PMID: 36298520 PMCID: PMC9611209 DOI: 10.3390/vaccines10101655] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 11/07/2022] Open
Abstract
Since the first case of Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019, SARS-CoV-2 infection has affected many individuals worldwide. Eventually, some highly infectious mutants-caused by frequent genetic recombination-have been reported for SARS-CoV-2 that can potentially escape from the immune responses and induce long-term immunity, linked with a high mortality rate. In addition, several reports stated that vaccines designed for the SARS-CoV-2 wild-type variant have mixed responses against the variants of concern (VOCs) and variants of interest (VOIs) in the human population. These results advocate the designing and development of a panvaccine with the potential to neutralize all the possible emerging variants of SARS-CoV-2. In this context, recent discoveries suggest the design of SARS-CoV-2 panvaccines using nanotechnology, siRNA, antibodies or CRISPR-Cas platforms. Thereof, the present comprehensive review summarizes the current vaccine design approaches against SARS-CoV-2 infection, the role of genetic mutations in the emergence of new viral variants, the efficacy of existing vaccines in limiting the infection of emerging SARS-CoV-2 variants, and efforts or challenges in designing SARS panvaccines.
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25
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Chakraborty C, Bhattacharya M, Sharma AR, Dhama K, Agoramoorthy G. A comprehensive analysis of the mutational landscape of the newly emerging Omicron (B.1.1.529) variant and comparison of mutations with VOCs and VOIs. GeroScience 2022; 44:2393-2425. [PMID: 35989365 PMCID: PMC9393103 DOI: 10.1007/s11357-022-00631-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 07/20/2022] [Indexed: 01/18/2023] Open
Abstract
The Omicron variant is spreading rapidly throughout several countries. Thus, we comprehensively analyzed Omicron's mutational landscape and compared mutations with VOC/VOI. We analyzed SNVs throughout the genome, and AA variants (NSP and SP) in VOC/VOI, including Omicron. We generated heat maps to illustrate the AA variants with high mutation prevalence (> 75% frequency) of Omicron, which demonstrated eight mutations with > 90% prevalence in ORF1a and 29 mutations with > 75% prevalence in S-glycoprotein. A scatter plot for Omicron and VOC/VOI's cluster evaluation was computed. We performed a risk analysis of the antibody-binding risk among four mutations (L452, F490, P681, D614) and observed three mutations (L452R, F490S, D614G) destabilized antibody interactions. Our comparative study evaluated the properties of 28 emerging mutations of the S-glycoprotein of Omicron, and the ΔΔG values. Our results showed K417N with minimum and Q954H with maximum ΔΔG value. Furthermore, six important RBD mutations (G339D, S371L, N440K, G446S, T478K, Q498R) were chosen for comprehensive analysis for stabilizing/destabilizing properties and molecular flexibility. The G339D, S371L, N440K, and T478K were noted as stable mutations with 0.019 kcal/mol, 0.127 kcal/mol, 0.064 kcal/mol, and 1.009 kcal/mol. While, G446S and Q498R mutations showed destabilizing results. Simultaneously, among six RBD mutations, G339D, G446S, and Q498R mutations increased the molecular flexibility of S-glycoprotein. This study depicts the comparative mutational pattern of Omicron and other VOC/VOI, which will help researchers to design and deploy novel vaccines and therapeutic antibodies to fight against VOC/VOI, including Omicron.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Rd, Kolkata, West Bengal, 700126, India.
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, 756020, Odisha, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, Uttar Pradesh, India
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26
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Chakraborty C, Bhattacharya M, Sharma AR, Mohapatra RK, Chakraborty S, Pal S, Dhama K. Immediate need for next-generation and mutation-proof vaccine to protect against current emerging Omicron sublineages and future SARS-CoV-2 variants: An urgent call for researchers and vaccine companies - Correspondence. Int J Surg 2022; 106:106903. [PMID: 36108909 PMCID: PMC9467924 DOI: 10.1016/j.ijsu.2022.106903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 08/28/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India.
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India.
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea.
| | - Ranjan K Mohapatra
- Department of Chemistry, Government College of Engineering, Keonjhar, 758002, Odisha, India.
| | - Sandip Chakraborty
- Department of Veterinary Microbiology, College of Veterinary Sciences and Animal Husbandry, R.K. Nagar, West Tripura, Tripura, Pin-799008, India.
| | - Soumen Pal
- School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India.
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27
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Bhattacharya M, Sharma AR, Mallick B, Lee SS, Seo EM, Chakraborty C. B.1.1.7 (Alpha) variant is the most antigenic compared to Wuhan strain, B.1.351, B.1.1.28/triple mutant and B.1.429 variants. Front Microbiol 2022; 13:895695. [PMID: 36033846 PMCID: PMC9411949 DOI: 10.3389/fmicb.2022.895695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
The rapid spread of the SARS-CoV-2 virus and its variants has created a catastrophic impact worldwide. Several variants have emerged, including B.1.351 (Beta), B.1.1.28/triple mutant (P.1), B.1.1.7 (Alpha), and B.1.429 (Epsilon). We performed comparative and comprehensive antigenicity mapping of the total S-glycoprotein using the Wuhan strain and the other variants and identified 9-mer, 15-mer, and 20-mer CTL epitopes through in silico analysis. The study found that 9-mer CTL epitope regions in the B.1.1.7 variant had the highest antigenicity and an average of the three epitope types. Cluster analysis of the 9-mer CTL epitopes depicted one significant cluster at the 70% level with two nodes (KGFNCYFPL and EGFNCYFPL). The phage-displayed peptides showed mimic 9-mer CTL epitopes with three clusters. CD spectra analysis showed the same band pattern of S-glycoprotein of Wuhan strain and all variants other than B.1.429. The developed 3D model of the superantigen (SAg)-like regions found an interaction pattern with the human TCR, indicating that the SAg-like component might interact with the TCR beta chain. The present study identified another partial SAg-like region (ANQFNSAIGKI) from the S-glycoprotein. Future research should examine the molecular mechanism of antigen processing for CD8+ T cells, especially all the variants’ antigens of S-glycoprotein.
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Affiliation(s)
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon, Gangwon-do, South Korea
| | - Bidyut Mallick
- Department of Applied Science, Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, India
| | - Sang-Soo Lee
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon, Gangwon-do, South Korea
| | - Eun-Min Seo
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon, Gangwon-do, South Korea
- *Correspondence: Eun-Min Seo,
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, India
- Chiranjib Chakraborty,
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28
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Chakraborty C, Bhattacharya M, Sharma AR, Mallik B. Omicron (B.1.1.529) - A new heavily mutated variant: Mapped location and probable properties of its mutations with an emphasis on S-glycoprotein. Int J Biol Macromol 2022; 219:980-997. [PMID: 35952818 PMCID: PMC9359758 DOI: 10.1016/j.ijbiomac.2022.07.254] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 05/23/2022] [Accepted: 07/31/2022] [Indexed: 12/17/2022]
Abstract
Omicron, another SARS-CoV-2 variant, has been recorded and reported as a VoC. It has already spread across >30 countries and is a highly mutated variant. We tried to understand the role of mutations in the investigated variants by comparison with previous characterized VoC. We have mapped the mutations in Omicron S-glycoprotein's secondary and tertiary structure landscape using bioinformatics tools and statistical software and developed different models. In addition, we analyzed the effect of diverse mutations in antibody binding regions of the S-glycoprotein on the binding affinity of the investigated antibodies. This study has chosen eight significant mutations in Omicron (D614G, E484A, N501Y, Q493K, K417N, S477N, Y505H G496S), and seven of them are located in the RBD region. We also performed a comparative analysis of the ΔΔG score of these mutations to understand the stabilizing or destabilizing properties of the investigated mutations. The analysis outcome shows that D614G, Q493K, and S477N mutations are stable mutations with ΔΔG scores of 0.351 kcal/mol, 0.470 kcal/mol, and 0.628 kcal/mol, respectively, according to DynaMut estimations. While other mutations (E484A, N501Y, K417N, Y505H, G496S) showed destabilizing results. The D614G, E484A, N501Y, K417N, Y505H, and G496S mutations increased the molecular flexibility of S-glycoprotein to interact with the ACE2 receptor, increasing the variant's infectivity. Our study will contribute to research on the SARS-CoV-2 variant, Omicron, by providing information on the mutational pattern and exciting properties of these eight significant mutations, such as antibody escape and infectivity quotient (stabilizing or destabilizing; increased or decreased molecular flexibility of S-glycoprotein to interact with the human ACE2 receptor).
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India.
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, South Korea
| | - Bidyut Mallik
- Department of Applied Science, Galgotias College of Engineering and Technology, Knowledge Park-II, Greater Noida, Uttar Pradesh 201306, India
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29
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Chakraborty C, Bhattacharya M, Sharma AR, Dhama K, Lee SS. Continent-wide evolutionary trends of emerging SARS-CoV-2 variants: dynamic profiles from Alpha to Omicron. GeroScience 2022; 44:2371-2392. [PMID: 35831773 PMCID: PMC9281186 DOI: 10.1007/s11357-022-00619-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/27/2022] [Indexed: 01/06/2023] Open
Abstract
The ongoing SARS-CoV-2 evolution process has generated several variants due to its continuous mutations, making pandemics more critical. The present study illustrates SARS-CoV-2 evolution and its emerging mutations in five directions. First, the significant mutations in the genome and S-glycoprotein were analyzed in different variants. Three linear models were developed with the regression line to depict the mutational load for S-glycoprotein, total genome excluding S-glycoprotein, and whole genome. Second, the continent-wide evolution of SARS-CoV-2 and its variants with their clades and divergence were evaluated. It showed the region-wise evolution of the SARS-CoV-2 variants and their clustering event. The major clades for each variant were identified. One example is clade 21K, a major clade of the Omicron variant. Third, lineage dynamics and comparison between SARS-CoV-2 lineages across different countries are also illustrated, demonstrating dominant variants in various countries over time. Fourth, gene-wise mutation patterns and genetic variability of SARS-CoV-2 variants across various countries are illustrated. High mutation patterns were found in the ORF10, ORF6, S, and low mutation pattern E genes. Finally, emerging AA point mutations (T478K, L452R, N501Y, S477N, E484A, Q498R, and Y505H), their frequencies, and country-wise occurrence were identified, and the highest event of two mutations (T478K and L452R) was observed.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126 India
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, 756020 Odisha India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252 Gangwon-do Republic of Korea
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122 Uttar Pradesh India
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252 Gangwon-do Republic of Korea
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30
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Tien CF, Tsai WT, Chen CH, Chou HJ, Zhang MM, Lin JJ, Lin EJ, Dai SS, Ping YH, Yu CY, Kuo YP, Tsai WH, Chen HW, Yu GY. Glycosylation and S-palmitoylation regulate SARS-CoV-2 spike protein intracellular trafficking. iScience 2022; 25:104709. [PMID: 35813875 PMCID: PMC9250814 DOI: 10.1016/j.isci.2022.104709] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/19/2022] [Accepted: 06/28/2022] [Indexed: 11/03/2022] Open
Abstract
Post-translational modifications (PTMs), such as glycosylation and palmitoylation, are critical to protein folding, stability, intracellular trafficking, and function. Understanding regulation of PTMs of SARS-CoV-2 spike (S) protein could help the therapeutic drug design. Herein, the VSV vector was used to produce SARS-CoV-2 S pseudoviruses to examine the roles of the 611LYQD614 and cysteine-rich motifs in S protein maturation and virus infectivity. Our results show that 611LY612 mutation alters S protein intracellular trafficking and reduces cell surface expression level. It also changes S protein glycosylation pattern and decreases pseudovirus infectivity. The S protein contains four cysteine-rich clusters with clusters I and II as the main palmitoylation sites. Mutations of clusters I and II disrupt S protein trafficking from ER-to-Golgi, suppress pseudovirus production, and reduce spike-mediated membrane fusion activity. Taken together, glycosylation and palmitoylation orchestrate the S protein maturation processing and are critical for S protein-mediated membrane fusion and infection. 611LY612 mutation alters the glycosylation pattern of the SARS-CoV-2 S protein 611LY612 mutation reduces S protein surface expression level Palmitoylation targets mature S protein to the Golgi and plasma membrane Palmitoylation is required for pseudovirus and SARS-CoV-2 production
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Comparative genomics, evolutionary epidemiology, and RBD-hACE2 receptor binding pattern in B.1.1.7 (Alpha) and B.1.617.2 (Delta) related to their pandemic response in UK and India. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2022; 101:105282. [PMID: 35427787 PMCID: PMC9005225 DOI: 10.1016/j.meegid.2022.105282] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 04/04/2022] [Accepted: 04/08/2022] [Indexed: 02/07/2023]
Abstract
Background The massive increase in COVID-19 infection had generated a second wave in India during May–June 2021 with a critical pandemic situation. The Delta variant (B.1.617.2) was a significant factor during the second wave. Conversely, the UK had passed through the crucial phase of the pandemic from November to December 2020 due to B.1.1.7. The study tried to comprehend the pandemic response in the UK and India to the spread of the B.1.1.7 (Alpha, UK) variant and B.1.617.2 (Delta, India) variant. Methods This study was performed in three directions to understand the pandemic response of the two emerging variants. First, we served comparative genomics, such as genome sequence submission patterns, mutational landscapes, and structural landscapes of significant mutations (N501Y, D614G, L452R, E484Q, and P681R). Second, we performed evolutionary epidemiology using molecular phylogenetics, scatter plots of the cluster evaluation, country-wise transmission pattern, and frequency pattern. Third, the receptor binding pattern was analyzed using the Wuhan reference strain and the other two variants. Results The study analyzed the country-wise and region-wise genome sequences and their submission pattern, molecular phylogenetics, scatter plot of the cluster evaluation, country-wise geographical distribution and transmission pattern, frequency pattern, entropy diversity, and mutational landscape of the two variants. The structural pattern was analyzed in the N501Y, D614G L452R, E484Q, and P681R mutations. The study found increased molecular interactivity between hACE2-RBD binding of B.1.1.7 and B.1.617.2 compared to the Wuhan reference strain. Our receptor binding analysis showed a similar indication pattern for hACE2-RBD of these two variants. However, B.1.617.2 offers slightly better stability in the hACE2-RBD binding pattern through MD simulation than B.1.1.7. Conclusion The increased hACE2-RBD binding pattern of B.1.1.7 and B.1.617.2 might help to increase the infectivity compared to the Wuhan reference strain.
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Bhattacharya M, Sharma AR, Dhama K, Agoramoorthy G, Chakraborty C. Hybrid immunity against COVID-19 in different countries with a special emphasis on the Indian scenario during the Omicron period. Int Immunopharmacol 2022; 108:108766. [PMID: 35413676 PMCID: PMC8986476 DOI: 10.1016/j.intimp.2022.108766] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/25/2022]
Abstract
Hybrid immunity has been accepted as the most robust immunity to fight against SARS-CoV-2. The hybrid immunity against the virus is produced in individuals who have contracted the disease and received the COVID-19 vaccine. This happens due to the cumulative effect of natural and acquired (vaccine) immunity, which provides higher antibody responses compared to natural and vaccine-produced immunity alone. Scientists have noted that it provides about 25 to 100 times higher antibody responses than natural and vaccine-produced immunity alone. Here, we have tried to illustrate the molecular basis of hybrid immunity against various SARS-CoV-2 variants. We have described hybrid immunity under different headings, which are as follows: an overview of hybrid immunity; a comparison between herd immunity and hybrid immunity against SARS-CoV-2; hybrid immunity in different countries; hybrid immunity and different SARS-CoV-2 variants; the molecular basis of hybrid immunity; and hybrid immunity in Indian scenario. India’s large population has recovered from SARS-CoV-2, and data shows that over 1000 million of the population received at least one dose of the vaccine. Besides, many infected individuals who have recovered also received at least one dose of the vaccine leading to hybrid immunity with a less severe third wave compared to the first and second waves. Based on the available data, we hypothesize that people's hybrid immunity could be a major cause of the less severe third wave.
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Affiliation(s)
- Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si 24252, Gangwon-do, Republic of Korea
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India
| | - Govindasamy Agoramoorthy
- College of Pharmacy and Health Care, Tajen University, Yanpu, Pingtung 907, Taiwan; Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, India
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India.
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Broad neutralization against SARS-CoV-2 variants induced by ancestral and B.1.351 AS03-Adjuvanted recombinant Plant-Derived Virus-Like particle vaccines. Vaccine 2022; 40:4017-4025. [PMID: 35654621 PMCID: PMC9135691 DOI: 10.1016/j.vaccine.2022.05.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 05/16/2022] [Accepted: 05/17/2022] [Indexed: 01/08/2023]
Abstract
Since 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection resulting in the coronavirus disease 2019 (COVID-19) has afflicted hundreds of millions of people in a worldwide pandemic. Several safe and effective COVID-19 vaccines are now available. However, the rapid emergence of variants and risk of viral escape from vaccine-induced immunity emphasize the need to develop broadly protective vaccines. A recombinant plant-derived virus-like particle vaccine for the ancestral COVID-19 (CoVLP) recently authorized by Canadian Health Authorities and a modified CoVLP.B1351 targeting the B.1.351 variant (both formulated with the adjuvant AS03) were assessed in homologous and heterologous prime-boost regimen in mice. Both strategies induced strong and broadly cross-reactive neutralizing antibody (NAb) responses against several Variants of Concern (VOCs), including B.1.351/Beta, B.1.1.7/Alpha, P.1/Gamma, B.1.617.2/Delta and B.1.1.529/Omicron strains. The neutralizing antibody (NAb) response was robust with both primary vaccination strategies and tended to be higher for almost all VOCs following the heterologous prime-boost regimen.
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Bellamkonda N, Lambe UP, Sawant S, Nandi SS, Chakraborty C, Shukla D. Immune Response to SARS-CoV-2 Vaccines. Biomedicines 2022; 10:1464. [PMID: 35884770 PMCID: PMC9312515 DOI: 10.3390/biomedicines10071464] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/27/2022] [Accepted: 05/30/2022] [Indexed: 12/21/2022] Open
Abstract
COVID-19 vaccines have been developed to confer immunity against the SARS-CoV-2 infection. Prior to the pandemic of COVID-19 which started in March 2020, there was a well-established understanding about the structure and pathogenesis of previously known Coronaviruses from the SARS and MERS outbreaks. In addition to this, vaccines for various Coronaviruses were available for veterinary use. This knowledge supported the creation of various vaccine platforms for SARS-CoV-2. Before COVID-19 there are no reports of a vaccine being developed in under a year and no vaccine for preventing coronavirus infection in humans had ever been developed. Approximately nine different technologies are being researched and developed at various levels in order to design an effective COVID-19 vaccine. As the spike protein of SARS-CoV-2 is responsible for generating substantial adaptive immune response, mostly all the vaccine candidates have been targeting the whole spike protein or epitopes of spike protein as a vaccine candidate. In this review, we have compiled the immune response to SARS-CoV-2 infection and followed by the mechanism of action of various vaccine platforms such as mRNA vaccines, Adenoviral vectored vaccine, inactivated virus vaccines and subunit vaccines in the market. In the end we have also summarized the various adjuvants used in the COVID-19 vaccine formulation.
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Affiliation(s)
- Navya Bellamkonda
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA;
| | | | - Sonali Sawant
- ICMR-NIV, Mumbai Unit, A. D. Road, Parel, Mumbai 400012, India; (U.P.L.); (S.S.)
| | - Shyam Sundar Nandi
- ICMR-NIV, Mumbai Unit, A. D. Road, Parel, Mumbai 400012, India; (U.P.L.); (S.S.)
| | | | - Deepak Shukla
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, IL 60612, USA
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Chakraborty C, Sharma AR, Bhattacharya M, Agoramoorthy G, Lee SS. A Paradigm Shift in the Combination Changes of SARS-CoV-2 Variants and Increased Spread of Delta Variant (B.1.617.2) across the World. Aging Dis 2022; 13:927-942. [PMID: 35656100 PMCID: PMC9116911 DOI: 10.14336/ad.2021.1117] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 11/17/2021] [Indexed: 12/13/2022] Open
Abstract
Since September 2020, the SARS-CoV-2 variants have gained their dominance worldwide, especially in Kenya, Italy, France, the UK, Turkey, Indonesia, India, Finland, Ireland, Singapore, Denmark, Germany, and Portugal. In this study, we developed a model on the frequency of delta variants across 28 countries (R2= 0.1497), displaying the inheritance of mutations during the generation of the delta variants with 123,526 haplotypes. The country-wise haplotype network showed the distribution of haplotypes in USA (10,174), Denmark (5,637), India (4,089), Germany (2,350), Netherlands (1,899), Sweden (1,791), Italy (1,720), France (1,293), Ireland (1,257), Belgium (1,207), Singapore (1,193), Portugal (1,184) and Spain (1,133). Our analysis shows the highest haplotype in Europe with 84% and the lowest in Australia with 0.00001%. A model of scatter plot was generated with a regression line which provided the estimated rate of mutation, including 24.048 substitutions yearly. Our study concluded that the high global prevalence of the delta variants is due to a high frequency of infectivity, supporting the paradigm shift of the viral variants.
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Affiliation(s)
- Chiranjib Chakraborty
- 1Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India
| | - Ashish Ranjan Sharma
- 2Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Gangwon-do, Korea
| | | | | | - Sang-Soo Lee
- 2Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Gangwon-do, Korea
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Antoine D, Mohammadi M, Vitt M, Dickie JM, Jyoti SS, Tilbury MA, Johnson PA, Wawrousek KE, Wall JG. Rapid, Point-of-Care scFv-SERS Assay for Femtogram Level Detection of SARS-CoV-2. ACS Sens 2022; 7:866-873. [PMID: 35271769 PMCID: PMC8961876 DOI: 10.1021/acssensors.1c02664] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/02/2022] [Indexed: 12/19/2022]
Abstract
Rapid, sensitive, on-site identification of SARS-CoV-2 infections is an important tool in the control and management of COVID-19. We have developed a surface-enhanced Raman scattering (SERS) immunoassay for highly sensitive detection of SARS-CoV-2. Single-chain Fv (scFv) recombinant antibody fragments that bind the SARS-CoV-2 spike protein were isolated by biopanning a human scFv library. ScFvs were conjugated to magnetic nanoparticles and SERS nanotags, followed by immunocomplex formation and detection of the SARS-CoV-2 spike protein with a limit of detection of 257 fg/mL in 30 min in viral transport medium. The assay also detected B.1.1.7 ("alpha"), B.1.351 ("beta"), and B.1.617.2 ("delta") spike proteins, while no cross-reactivity was observed with the common human coronavirus HKU1 spike protein. Inactivated whole SARS-CoV-2 virus was detected at 4.1 × 104 genomes/mL, which was 10-100-fold lower than virus loads typical of infectious individuals. The assay exhibited higher sensitivity for SARS-CoV-2 than commercial lateral flow assays, was compatible with viral transport media and saliva, enabled rapid pivoting to detect new virus variants, and facilitated highly sensitive, point-of-care diagnosis of COVID-19 in clinical and public health settings.
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Affiliation(s)
- Delphine Antoine
- Microbiology,
College of Science and Engineering, and SFI Centre for Medical Devices
(CÚRAM), National University of Ireland,
Galway (NUI Galway), Galway H91 TK33, Ireland
| | - Moein Mohammadi
- Chemical
Engineering, University of Wyoming, Laramie, Wyoming 82072, United States
| | - Madison Vitt
- Chemical
Engineering, University of Wyoming, Laramie, Wyoming 82072, United States
| | - Julia Marie Dickie
- Chemical
Engineering, University of Wyoming, Laramie, Wyoming 82072, United States
| | | | - Maura A. Tilbury
- Microbiology,
College of Science and Engineering, and SFI Centre for Medical Devices
(CÚRAM), National University of Ireland,
Galway (NUI Galway), Galway H91 TK33, Ireland
| | - Patrick A. Johnson
- Chemical
Engineering, University of Wyoming, Laramie, Wyoming 82072, United States
| | - Karen E. Wawrousek
- Chemical
Engineering, University of Wyoming, Laramie, Wyoming 82072, United States
| | - J. Gerard Wall
- Microbiology,
College of Science and Engineering, and SFI Centre for Medical Devices
(CÚRAM), National University of Ireland,
Galway (NUI Galway), Galway H91 TK33, Ireland
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Specific Detection of SARS-CoV-2 Variants B.1.1.7 (Alpha) and B.1.617.2 (Delta) Using a One-Step Quantitative PCR Assay. Microbiol Spectr 2022; 10:e0217621. [PMID: 35285705 PMCID: PMC9045307 DOI: 10.1128/spectrum.02176-21] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
In this report, we describe the development of a reverse transcription-quantitative PCR (RT-qPCR) assay, termed Alpha-Delta assay, which can detect all severe acute respiratory syndrome coronavirus 2 (SC-2) variants and distinguish between the Alpha (B.1.1.7) and Delta (B.1.617.2) variants. The Alpha- and Delta-specific reactions in the assay target mutations that are strongly linked to the target variant. The Alpha reaction targets the D3L substitution in the N gene, and the Delta reaction targets the spike gene 156 to 158 mutations. Additionally, we describe a second Delta-specific assay that we use as a confirmatory test for the Alpha-Delta assay that targets the 119 to 120 deletion in the Orf8 gene. Both reactions have similar sensitivities of 15 to 25 copies per reaction, similar to the sensitivity of commercial SC-2 detection tests. The Alpha-Delta assay and the Orf8119del assay were successfully used to classify clinical samples that were subsequently analyzed by whole-genome sequencing. Lastly, the capability of the Alpha-Delta assay and Orf8119del assay to identify correctly the presence of Delta RNA in wastewater samples was demonstrated. This study provides a rapid, sensitive, and cost-effective tool for detecting and classifying two worldwide dominant SC-2 variants. It also highlights the importance of a timely diagnostic response to the emergence of new SC-2 variants with significant consequences on global health. IMPORTANCE The new assays described herein enable rapid, straightforward, and cost-effective detection of severe acute respiratory syndrome coronavirus 2 (SC-2) with immediate classification of the examined sample as Alpha, Delta, non-Alpha, or non-Delta variant. This is highly important for two main reasons: (i) it provides the scientific and medical community with a novel diagnostic tool to rapidly detect and classify any SC-2 sample of interest as Alpha, Delta, or none and can be applied to both clinical and environmental samples, and (ii) it demonstrates how to respond to the emergence of new variants of concern by developing a variant-specific assay. Such assays should improve our preparedness and adjust the diagnostic capacity to serve clinical, epidemiological, and research needs.
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Petrillo M, Querci M, Brogna C, Ponti J, Cristoni S, Markov PV, Valsesia A, Leoni G, Benedetti A, Wiss T, Van den Eede G. Evidence of SARS-CoV-2 bacteriophage potential in human gut microbiota. F1000Res 2022. [DOI: 10.12688/f1000research.109236.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background: In previous studies we have shown that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replicates in vitro in bacterial growth medium, that the viral replication follows bacterial growth, and it is influenced by the administration of specific antibiotics. These observations are compatible with a ‘bacteriophage-like’ behaviour of SARS-CoV-2. Methods: We have further elaborated on these unusual findings and here we present the results of three different supplementary experiments: (1) an electron-microscope analysis of samples of bacteria obtained from a faecal sample of a subject positive to SARS-CoV-2; (2) mass spectrometric analysis of these cultures to assess the eventual de novo synthesis of SARS-CoV-2 spike protein; (3) sequencing of SARS-CoV-2 collected from plaques obtained from two different gut microbial bacteria inoculated with supernatant from faecal microbiota of an individual positive to SARS-CoV-2. Results: Immuno-labelling with Anti-SARS-CoV-2 nucleocapsid protein antibody confirmed presence of SARS-CoV-2 both outside and inside bacteria. De novo synthesis of SARS-CoV-2 spike protein was observed, as evidence that SARS-CoV-2 RNA is translated in the bacterial cultures. In addition, phage-like plaques were spotted on faecal bacteria cultures after inoculation with supernatant from faecal microbiota of an individual positive to SARS-CoV-2. Bioinformatic analyses on the reads obtained by sequencing RNA extracted from the plaques revealed nucleic acid polymorphisms, suggesting different replication environment in the two bacterial cultures. Conclusions: Based on these results we conclude that, in addition to its well-documented interactions with eukaryotic cells, SARS-CoV-2 may act as a bacteriophage when interacting with at least two bacterial species known to be present in the human microbiota. If the hypothesis proposed, i.e., that under certain conditions SARS-CoV-2 may multiply at the expense of human gut bacteria, is further substantiated, it would drastically change the model of acting and infecting of SARS-CoV-2, and most likely that of other human pathogenic viruses.
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Zhang J, Ejikemeuwa A, Gerzanich V, Nasr M, Tang Q, Simard JM, Zhao RY. Understanding the Role of SARS-CoV-2 ORF3a in Viral Pathogenesis and COVID-19. Front Microbiol 2022; 13:854567. [PMID: 35356515 PMCID: PMC8959714 DOI: 10.3389/fmicb.2022.854567] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/09/2022] [Indexed: 12/11/2022] Open
Abstract
The ongoing SARS-CoV-2 pandemic has shocked the world due to its persistence, COVID-19-related morbidity and mortality, and the high mutability of the virus. One of the major concerns is the emergence of new viral variants that may increase viral transmission and disease severity. In addition to mutations of spike protein, mutations of viral proteins that affect virulence, such as ORF3a, also must be considered. The purpose of this article is to review the current literature on ORF3a, to summarize the molecular actions of SARS-CoV-2 ORF3a, and its role in viral pathogenesis and COVID-19. ORF3a is a polymorphic, multifunctional viral protein that is specific to SARS-CoV/SARS-CoV-2. It was acquired from β-CoV lineage and likely originated from bats through viral evolution. SARS-CoV-2 ORF3a is a viroporin that interferes with ion channel activities in host plasma and endomembranes. It is likely a virion-associated protein that exerts its effect on the viral life cycle during viral entry through endocytosis, endomembrane-associated viral transcription and replication, and viral release through exocytosis. ORF3a induces cellular innate and pro-inflammatory immune responses that can trigger a cytokine storm, especially under hypoxic conditions, by activating NLRP3 inflammasomes, HMGB1, and HIF-1α to promote the production of pro-inflammatory cytokines and chemokines. ORF3a induces cell death through apoptosis, necrosis, and pyroptosis, which leads to tissue damage that affects the severity of COVID-19. ORF3a continues to evolve along with spike and other viral proteins to adapt in the human cellular environment. How the emerging ORF3a mutations alter the function of SARS-CoV-2 ORF3a and its role in viral pathogenesis and COVID-19 is largely unknown. This review provides an in-depth analysis of ORF3a protein's structure, origin, evolution, and mutant variants, and how these characteristics affect its functional role in viral pathogenesis and COVID-19.
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Affiliation(s)
- Jiantao Zhang
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
- Research and Development Service, VA Maryland Health Care System, Baltimore, MD, United States
| | - Amara Ejikemeuwa
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Volodymyr Gerzanich
- Research and Development Service, VA Maryland Health Care System, Baltimore, MD, United States
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Mohamed Nasr
- Drug Development and Clinical Sciences Branch, Division of AIDS, NIAID, NIH, Bethesda, MD, United States
| | - Qiyi Tang
- Department of Microbiology, Howard University College of Medicine, Washington, DC, United States
| | - J. Marc Simard
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
- Research and Development Service, VA Maryland Health Care System, Baltimore, MD, United States
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Richard Y. Zhao
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
- Research and Development Service, VA Maryland Health Care System, Baltimore, MD, United States
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
- Institute of Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
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Omicron variant (B.1.1.529) of SARS-CoV-2: understanding mutations in the genome, S-glycoprotein, and antibody-binding regions. GeroScience 2022; 44:619-637. [PMID: 35258772 PMCID: PMC8902853 DOI: 10.1007/s11357-022-00532-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/16/2022] [Indexed: 01/18/2023] Open
Abstract
The Omicron variant has been detected in nearly 150 countries. We analyzed the mutational landscape of Omicron throughout the genome, focusing the S-glycoprotein. We also evaluated mutations in the antibody-binding regions and observed some important mutations overlapping those of previous variants including N501Y, D614G, H655Y, N679K, and P681H. Various new receptor-binding domain mutations were detected, including Q493K, G496S, Q498R, S477N, G466S, N440K, and Y505H. New mutations were found in the NTD (Δ143-145, A67V, T95I, L212I, and Δ211) including one new mutation in fusion peptide (D796Y). There are several mutations in the antibody-binding region including K417N, E484A, Q493K, Q498R, N501Y, and Y505H and several near the antibody-binding region (S477N, T478K, G496S, G446S, and N440K). The impact of mutations in regions important for the affinity between spike proteins and neutralizing antibodies was evaluated. Furthermore, we examined the effect of significant antibody-binding mutations (K417N, T478K, E484A, and N501Y) on antibody affinity, stability to ACE2 interaction, and possibility of amino acid substitution. All the four mutations destabilize the antibody-binding affinity. This study reveals future directions for developing neutralizing antibodies against the Omicron variant.
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Tarke A, Coelho CH, Zhang Z, Dan JM, Yu ED, Methot N, Bloom NI, Goodwin B, Phillips E, Mallal S, Sidney J, Filaci G, Weiskopf D, da Silva Antunes R, Crotty S, Grifoni A, Sette A. SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron. Cell 2022; 185:847-859.e11. [PMID: 35139340 PMCID: PMC8784649 DOI: 10.1016/j.cell.2022.01.015] [Citation(s) in RCA: 524] [Impact Index Per Article: 262.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/11/2022] [Accepted: 01/19/2022] [Indexed: 12/19/2022]
Abstract
We address whether T cell responses induced by different vaccine platforms (mRNA-1273, BNT162b2, Ad26.COV2.S, and NVX-CoV2373) cross-recognize early SARS-CoV-2 variants. T cell responses to early variants were preserved across vaccine platforms. By contrast, significant overall decreases were observed for memory B cells and neutralizing antibodies. In subjects ∼6 months post-vaccination, 90% (CD4+) and 87% (CD8+) of memory T cell responses were preserved against variants on average by AIM assay, and 84% (CD4+) and 85% (CD8+) preserved against Omicron. Omicron RBD memory B cell recognition was substantially reduced to 42% compared with other variants. T cell epitope repertoire analysis revealed a median of 11 and 10 spike epitopes recognized by CD4+ and CD8+ T cells, with average preservation > 80% for Omicron. Functional preservation of the majority of T cell responses may play an important role as a second-level defense against diverse variants.
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Affiliation(s)
- Alison Tarke
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA; Department of Internal Medicine and Center of Excellence for Biomedical Research (CEBR), University of Genoa, Genoa 16132, Italy
| | - Camila H Coelho
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Zeli Zhang
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Jennifer M Dan
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA
| | - Esther Dawen Yu
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Nils Methot
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Nathaniel I Bloom
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Benjamin Goodwin
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Elizabeth Phillips
- Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA, Australia
| | - Simon Mallal
- Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA, Australia
| | - John Sidney
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Gilberto Filaci
- Department of Internal Medicine and Center of Excellence for Biomedical Research (CEBR), University of Genoa, Genoa 16132, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, Genoa 16132, Italy
| | - Daniela Weiskopf
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Ricardo da Silva Antunes
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
| | - Shane Crotty
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA.
| | - Alba Grifoni
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA.
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Chakraborty C, Sharma AR, Bhattacharya M, Lee SS. A Detailed Overview of Immune Escape, Antibody Escape, Partial Vaccine Escape of SARS-CoV-2 and Their Emerging Variants With Escape Mutations. Front Immunol 2022; 13:801522. [PMID: 35222380 PMCID: PMC8863680 DOI: 10.3389/fimmu.2022.801522] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/05/2022] [Indexed: 01/08/2023] Open
Abstract
The infective SARS-CoV-2 is more prone to immune escape. Presently, the significant variants of SARS-CoV-2 are emerging in due course of time with substantial mutations, having the immune escape property. Simultaneously, the vaccination drive against this virus is in progress worldwide. However, vaccine evasion has been noted by some of the newly emerging variants. Our review provides an overview of the emerging variants' immune escape and vaccine escape ability. We have illustrated a broad view related to viral evolution, variants, and immune escape ability. Subsequently, different immune escape approaches of SARS-CoV-2 have been discussed. Different innate immune escape strategies adopted by the SARS-CoV-2 has been discussed like, IFN-I production dysregulation, cytokines related immune escape, immune escape associated with dendritic cell function and macrophages, natural killer cells and neutrophils related immune escape, PRRs associated immune evasion, and NLRP3 inflammasome associated immune evasion. Simultaneously we have discussed the significant mutations related to emerging variants and immune escape, such as mutations in the RBD region (N439K, L452R, E484K, N501Y, K444R) and other parts (D614G, P681R) of the S-glycoprotein. Mutations in other locations such as NSP1, NSP3, NSP6, ORF3, and ORF8 have also been discussed. Finally, we have illustrated the emerging variants' partial vaccine (BioNTech/Pfizer mRNA/Oxford-AstraZeneca/BBIBP-CorV/ZF2001/Moderna mRNA/Johnson & Johnson vaccine) escape ability. This review will help gain in-depth knowledge related to immune escape, antibody escape, and partial vaccine escape ability of the virus and assist in controlling the current pandemic and prepare for the next.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, South Korea
| | | | - Sang-Soo Lee
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, South Korea
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Gaudreault NN, Cool K, Trujillo JD, Morozov I, Meekins DA, McDowell C, Bold D, Carossino M, Balaraman V, Mitzel D, Kwon T, Madden DW, Artiaga BL, Pogranichniy RM, Roman-Sosa G, Wilson WC, Balasuriya UBR, García-Sastre A, Richt JA. Susceptibility of sheep to experimental co-infection with the ancestral lineage of SARS-CoV-2 and its alpha variant. Emerg Microbes Infect 2022; 11:662-675. [PMID: 35105272 PMCID: PMC8881078 DOI: 10.1080/22221751.2022.2037397] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for a global pandemic that has had significant impacts on human health and economies worldwide. SARS-CoV-2 is highly transmissible and the cause of coronavirus disease 2019 in humans. A wide range of animal species have also been shown to be susceptible to SARS-CoV-2 by experimental and/or natural infections. Sheep are a commonly farmed domestic ruminant that have not been thoroughly investigated for their susceptibility to SARS-CoV-2. Therefore, we performed in vitro and in vivo studies which consisted of infection of ruminant-derived cells and experimental challenge of sheep to investigate their susceptibility to SARS-CoV-2. Our results showed that sheep-derived kidney cells support SARS-CoV-2 replication. Furthermore, the experimental challenge of sheep demonstrated limited infection with viral RNA shed in nasal and oral swabs at 1 and 3-days post challenge (DPC); viral RNA was also detected in the respiratory tract and lymphoid tissues at 4 and 8 DPC. Sero-reactivity was observed in some of the principal infected sheep but not the contact sentinels, indicating that transmission to co-mingled naïve sheep was not highly efficient; however, viral RNA was detected in respiratory tract tissues of sentinel animals at 21 DPC. Furthermore, we used a challenge inoculum consisting of a mixture of two SARS-CoV-2 isolates, representatives of the ancestral lineage A and the B.1.1.7-like alpha variant of concern, to study competition of the two virus strains. Our results indicate that sheep show low susceptibility to SARS-CoV-2 infection and that the alpha variant outcompeted the lineage A strain.
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Affiliation(s)
- Natasha N Gaudreault
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Konner Cool
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Jessie D Trujillo
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Igor Morozov
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - David A Meekins
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Chester McDowell
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Dashzeveg Bold
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Mariano Carossino
- Louisiana Animal Disease Diagnostic Laboratory and Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Velmurugan Balaraman
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Dana Mitzel
- Foreign Arthropod-Borne Animal Disease Research Unit, National Bio and Agro-Defense Facility, United States Department of Agriculture, Manhattan, KS, USA
| | - Taeyong Kwon
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Daniel W Madden
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Bianca Libanori Artiaga
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Roman M Pogranichniy
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Gleyder Roman-Sosa
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - William C Wilson
- Foreign Arthropod-Borne Animal Disease Research Unit, National Bio and Agro-Defense Facility, United States Department of Agriculture, Manhattan, KS, USA
| | - Udeni B R Balasuriya
- Louisiana Animal Disease Diagnostic Laboratory and Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; and.,Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Juergen A Richt
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
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State-of-the-Art Clinical Microbiology in South Korea: Current Trends and Future Prospects. Microorganisms 2022; 10:microorganisms10010174. [PMID: 35056623 PMCID: PMC8779433 DOI: 10.3390/microorganisms10010174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 01/11/2022] [Indexed: 11/22/2022] Open
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Noor R, Shareen S, Billah M. COVID-19 vaccines: their effectiveness against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its emerging variants. BULLETIN OF THE NATIONAL RESEARCH CENTRE 2022; 46:96. [PMID: 35431535 PMCID: PMC8991668 DOI: 10.1186/s42269-022-00787-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/31/2022] [Indexed: 05/08/2023]
Abstract
BACKGROUND The world has been suffering from the COVID-19 pandemic (officially declared by WHO in March 2020), caused by the severe acute respiratory β-coronavirus 2 (SARS-CoV-2) since the last week of December 2019. The disease was initially designated as a Public Health Emergency of International Concern on January 30, 2020. In order to protect the health of mass public, an array of research on drugs and vaccines against SARS-CoV-2 has been conducted globally. However, the emerging variants of SARS-CoV-2, i.e., Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), and Delta (B.1.617.2) variants which evolved in late 2020 and the Omicron variant (B.1.1.529) which emerged in November 2021 along with its subvariant BA.2 which was first identified in India and South Africa in late December 2021, have raised the doubt about the efficiency of the currently used vaccines especially in terms of the consistent potential to produce neutralizing antibodies targeting the viral spike (S) protein. MAIN BODY OF THE ABSTRACT The present review discussed the functional details of major vaccines regarding their efficiency against such variants during the pandemic. Overall, the mRNA vaccines have shown around 94% effectiveness; the adenovector vaccine showed approximately 70% efficacy, whereas Sputnik V vaccines showed around 92% effectiveness; the inactivated whole-virus vaccine CoronaVac/PiCoVacc and BBIBP-CorV showed a varying effectiveness of 65-86% according to the geographic locations; the subunit vaccine NVX-CoV2373 has shown 60-89% effectiveness along with the global regions against the wild-type SARS-CoV-2 strain. However, reduced effectiveness of these vaccines against the SARS-CoV-2 variants was noticed which is suggestive for the further administration of booster dose. SHORT CONCLUSION Maximum variants of SARS-CoV-2 emerged during the second wave of COVID-19; and extensive studies on the viral genomic sequences from all geographical locations around the world have been conducted by an array of groups to assess the possible occurrence of mutations(s) specially within the receptor binding domain of the viral spike (S) protein. Mutational similarities and the new or critical mutations within all variants have been clearly identified so far. The study of effectiveness of the currently used vaccines is also ongoing. The persistence of memory B cell action and the other immune components as well as the administration of booster dose is expected to mitigate the disease.
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Affiliation(s)
- Rashed Noor
- Department of Life Sciences (DLS), School of Environment and Life Sciences (SELS), Independent University, Bangladesh (IUB), Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara, Dhaka, 1229 Bangladesh
| | - Saadia Shareen
- Department of Life Sciences (DLS), School of Environment and Life Sciences (SELS), Independent University, Bangladesh (IUB), Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara, Dhaka, 1229 Bangladesh
| | - Muntasir Billah
- Department of Cardiology, Kolling Institute of Medical Research, Northern Sydney Local Health District, St Leonards, NSW 2065 Australia
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46
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Noor R. A review on the induction of host immunity by the current COVID-19 vaccines and a brief non-pharmaceutical intervention to mitigate the pandemic. BULLETIN OF THE NATIONAL RESEARCH CENTRE 2022; 46:31. [PMID: 35194369 PMCID: PMC8853290 DOI: 10.1186/s42269-022-00719-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 02/03/2022] [Indexed: 05/12/2023]
Abstract
BACKGROUND To mitigate the current COVID-19 pandemic by the severe acute respiratory coronavirus 2 (SARS-CoV-2), designing of repurposed antiviral drugs and the development of vaccines using different platforms have been the most significant work by the scientists around the world since the beginning of 2020. MAIN BODY OF THE ABSTRACT While positive results are being noticed with the currently used vaccines, the emerging variants of SARS-CoV-2 as well as the second wave of COVID-19 pandemic put the global public health in the deadliest health issue. Present review attempted to focus on the development of the current COVID-19 situation in the light of knowledge gathered from the recently published literature. An important facet regarding the COVID-19 severity is the avoidance of host immunity by the SARS-CoV-2 and its variants. Indeed, the genetic similarities between SARS-CoV-2, SARS-CoV-1 and the Middle East respiratory syndrome coronavirus (MERS-CoV) showed the viral escape strategies of the protective host immunity which appeared as the major problem for the effective vaccine development. SHORT CONCLUSION Present review discussed the prescribed platforms of vaccine development and pondered on the cellular and humoral immune responses by vaccines; and apart from vaccination approaches, non-pharmaceutical intervention approaches have also been pondered based on modeling rules.
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Affiliation(s)
- Rashed Noor
- Department of Life Sciences (DLS), School of Environment and Life Sciences (SELS), Independent University, Bangladesh (IUB), Plot 16, Block B, Bashundhara, Dhaka 1229 Bangladesh
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Emerging mutations in the SARS-CoV-2 variants and their role in antibody escape to small molecule-based therapeutic resistance. Curr Opin Pharmacol 2021; 62:64-73. [PMID: 34920267 PMCID: PMC8606259 DOI: 10.1016/j.coph.2021.11.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/07/2021] [Accepted: 11/12/2021] [Indexed: 12/13/2022]
Abstract
Several clinical trials started during the COVID-19 pandemic to discover effective therapeutics led to identify a few candidates from the major clinical trials. However, in the past several months, quite a few SARS-CoV-2 variants have emerged with significant mutations. Major mutations in the S-glycoprotein and other parts of the genome have led to the antibody's escape to small molecule-based therapeutic resistance. The mutations in S-glycoprotein trigger the antibody escape/resistance, and mutations in RdRp might cause remdesivir resistance. The article illustrates emerging mutations that have resulted in antibody escape to therapeutics resistance. In this direction, the article illustrates presently developed neutralizing antibodies (with their preclinical, clinical stages) and antibody escapes and associated mutations. Finally, owing to the RdRp mutations, the antiviral small molecules resistance is illustrated.
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48
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Gaudreault NN, Cool K, Trujillo JD, Morozov I, Meekins DA, McDowell C, Bold D, Carossino M, Balaraman V, Mitzel D, Kwon T, Madden DW, Artiaga BL, Pogranichniy RM, Roman-Sosa G, Wilson WC, Balasuriya UBR, García-Sastre A, Richt JA. Susceptibility of sheep to experimental co-infection with the ancestral lineage of SARS-CoV-2 and its alpha variant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.11.15.468720. [PMID: 34816258 PMCID: PMC8609893 DOI: 10.1101/2021.11.15.468720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for a global pandemic that has had significant impacts on human health and economies worldwide. SARS-CoV-2 is highly transmissible and the cause of coronavirus disease 2019 (COVID-19) in humans. A wide range of animal species have also been shown to be susceptible to SARS-CoV-2 infection by experimental and/or natural infections. Domestic and large cats, mink, ferrets, hamsters, deer mice, white-tailed deer, and non-human primates have been shown to be highly susceptible, whereas other species such as mice, dogs, pigs, and cattle appear to be refractory to infection or have very limited susceptibility. Sheep (Ovis aries) are a commonly farmed domestic ruminant that have not previously been thoroughly investigated for their susceptibility to SARS-CoV-2. Therefore, we performed in vitro and in vivo studies which consisted of infection of ruminant-derived cell cultures and experimental challenge of sheep to investigate their susceptibility to SARS-CoV-2. Our results showed that sheep-derived cell cultures support SARS-CoV-2 replication. Furthermore, experimental challenge of sheep demonstrated limited infection with viral RNA shed in nasal and oral swabs primarily at 1-day post challenge (DPC), and also detected in the respiratory tract and lymphoid tissues at 4 and 8 DPC. Sero-reactivity was also observed in some of the principal infected sheep but not the contact sentinels, indicating that transmission to co-mingled naive sheep was not highly efficient; hovewer, viral RNA was detected in some of the respiratory tract tissues of sentinel animals at 21 DPC. Furthermore, we used challenge inoculum consisting of a mixture of two SARS-CoV-2 isolates, representatives of the ancestral lineage A and the B.1.1.7-like alpha variant of concern (VOC), to study competition of the two virus strains. Our results indicate that sheep show low susceptibility to SARS-CoV-2 infection, and that the alpha VOC outcompeted the ancestral lineage A strain.
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Affiliation(s)
- Natasha N. Gaudreault
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Konner Cool
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Jessie D. Trujillo
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Igor Morozov
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - David A. Meekins
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Chester McDowell
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Dashzeveg Bold
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Mariano Carossino
- Louisiana Animal Disease Diagnostic Laboratory and Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Velmurugan Balaraman
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Dana Mitzel
- Foreign Arthropod-Borne Animal Disease Research Unit, National Bio and Agro-Defense Facility, United States Department of Agriculture, Manhattan, KS, USA
| | - Taeyong Kwon
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Daniel W. Madden
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Bianca Libanori Artiaga
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Roman M. Pogranichniy
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Gleyder Roman-Sosa
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - William C. Wilson
- Foreign Arthropod-Borne Animal Disease Research Unit, National Bio and Agro-Defense Facility, United States Department of Agriculture, Manhattan, KS, USA
| | - Udeni B. R. Balasuriya
- Louisiana Animal Disease Diagnostic Laboratory and Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Juergen A. Richt
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
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Chakraborty C, Sharma AR, Bhattacharya M, Agoramoorthy G, Lee SS. The Drug Repurposing for COVID-19 Clinical Trials Provide Very Effective Therapeutic Combinations: Lessons Learned From Major Clinical Studies. Front Pharmacol 2021; 12:704205. [PMID: 34867318 PMCID: PMC8636940 DOI: 10.3389/fphar.2021.704205] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 10/07/2021] [Indexed: 12/15/2022] Open
Abstract
SARS-CoV-2 has spread across the globe in no time. In the beginning, people suffered due to the absence of efficacious drugs required to treat severely ill patients. Nevertheless, still, there are no established therapeutic molecules against the SARS-CoV-2. Therefore, repurposing of the drugs started against SARS-CoV-2, due to which several drugs were approved for the treatment of COVID-19 patients. This paper reviewed the treatment regime for COVID-19 through drug repurposing from December 8, 2019 (the day when WHO recognized COVID-19 as a pandemic) until today. We have reviewed all the clinical trials from RECOVERY trials, ACTT-1 and ACTT-2 study group, and other major clinical trial platforms published in highly reputed journals such as NEJM, Lancet, etc. In addition to single-molecule therapy, several combination therapies were also evaluated to understand the treatment of COVID-19 from these significant clinical trials. To date, several lessons have been learned on the therapeutic outcomes for COVID-19. The paper also outlines the experiences gained during the repurposing of therapeutic molecules (hydroxychloroquine, ritonavir/ lopinavir, favipiravir, remdesivir, ivermectin, dexamethasone, camostatmesylate, and heparin), immunotherapeutic molecules (tocilizumab, mavrilimumab, baricitinib, and interferons), combination therapy, and convalescent plasma therapy to treat COVID-19 patients. We summarized that anti-viral therapeutic (remdesivir) and immunotherapeutic (tocilizumab, dexamethasone, and baricitinib) therapy showed some beneficial outcomes. Until March 2021, 4952 clinical trials have been registered in ClinicalTrials.gov toward the drug and vaccine development for COVID-19. More than 100 countries have participated in contributing to these clinical trials. Other than the registered clinical trials (medium to large-size), several small-size clinical trials have also been conducted from time to time to evaluate the treatment of COVID-19. Four molecules showed beneficial therapeutic to treat COVID-19 patients. The short-term repurposing of the existing drug may provide a successful outcome for COVID-19 patients. Therefore, more clinical trials can be initiated using potential anti-viral molecules by evaluating in different phases of clinical trials.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, South Korea
| | | | | | - Sang-Soo Lee
- Institute for Skeletal Aging and Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, South Korea
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50
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Mollalo A, Mohammadi A, Mavaddati S, Kiani B. Spatial Analysis of COVID-19 Vaccination: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:12024. [PMID: 34831801 PMCID: PMC8624385 DOI: 10.3390/ijerph182212024] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 01/01/2023]
Abstract
Spatial analysis of COVID-19 vaccination research is increasing in recent literature due to the availability of COVID-19 vaccination data that usually contain location components. However, to our knowledge, no previous study has provided a comprehensive review of this research area. Therefore, in this scoping review, we examined the breadth of spatial and spatiotemporal vaccination studies to summarize previous findings, highlight research gaps, and provide guidelines for future research. We performed this review according to the five-stage methodological framework developed by Arksey and O'Malley. We screened all articles published in PubMed/MEDLINE, Scopus, and Web of Science databases, as of 21 September 2021, that had employed at least one form of spatial analysis of COVID-19 vaccination. In total, 36 articles met the inclusion criteria and were organized into four main themes: disease surveillance (n = 35); risk analysis (n = 14); health access (n = 16); and community health profiling (n = 2). Our findings suggested that most studies utilized preliminary spatial analysis techniques, such as disease mapping, which might not lead to robust inferences. Moreover, few studies addressed data quality, modifiable areal unit problems, and spatial dependence, highlighting the need for more sophisticated spatial and spatiotemporal analysis techniques.
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Affiliation(s)
- Abolfazl Mollalo
- Department of Public Health and Prevention Science, School of Health Sciences, Baldwin Wallace University, Berea, OH 44017, USA;
| | - Alireza Mohammadi
- Department of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil 56199, Iran;
| | - Sara Mavaddati
- Faculty of Medicine & Surgery, Policlinic University Hospital of Bari Aldo Moro, 70124 Bari, Italy;
| | - Behzad Kiani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad 91779, Iran
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