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Marcos-Carbajal P, Yareta-Yareta J, Otiniano-Trujillo M, Galarza-Pérez M, Espinoza-Culupu A, Ramirez-Melgar JL, Chambi-Quispe M, Luque-Chipana NA, Gutiérrez Ajalcriña R, Sucñer Cruz V, López Chegne SN, Santillán Ruiz D, Segura Chavez LF, Sias Garay CE, Salazar Granara A, Tsukayama Cisneros P, Tapia Paniagua ST, González-Domenech CM. Detection of SARS-CoV-2 variants in hospital wastewater in Peru, 2022. Rev Peru Med Exp Salud Publica 2024; 41:140-145. [PMID: 39166636 PMCID: PMC11300693 DOI: 10.17843/rpmesp.2024.412.13484] [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: 11/25/2023] [Accepted: 03/06/2024] [Indexed: 08/23/2024] Open
Abstract
OBJECTIVE. To identify the presence of the SARS-CoV-2 virus in wastewater from hospitals in Peru. MATERIALS AND METHODS. Water samples were collected from the effluents of nine hospitals in Peru during March and September 2022. SARS-CoV-2 was identified by using Illumina sequencing. Variant, lineage and clade assignments were carried out using the Illumina and Nextclado tools. We verified whether the SARS-CoV-2 variants obtained from wastewater were similar to those reported by the National Institute of Health of Peru from patients during the same period and region. RESULTS. Eighteen of the 20 hospital wastewater samples (90%) provided sequences of sufficient quality to be classified as the Omicron variant according to the WHO classification. Among them, six (30%) were assigned by Nextclade to clades 21K lineage BA.1.1 (n=1), 21L lineage BA.2 (n=2), and 22B lineages BA.5.1 (n=2) and BA .5.5 (n=1). CONCLUSIONS. SARS-CoV-2 variants were found in hospital wastewater samples and were similar to those reported by the surveillance system in patients during the same weeks and geographic areas. Wastewater monitoring could provide information on the environmental and temporal variation of viruses such as SARS-CoV-2. Motivation for the study. To contribute to the surveillance of environmental samples from hospital effluents in order to achieve early warning of possible infectious disease outbreaks. Main findings. The Omicron variant of the COVID-19 virus was detected in wastewater from hospitals in Puno, Cuzco and Cajamarca; these results are similar to the reports by the Peruvian National Institute of Health based on nasopharyngeal swab samples. Implications. The presence of the Omicron variant in hospital wastewater during the third wave of the pandemic should raise awareness of the treatment system before wastewater is discharged into the public sewer system.
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Affiliation(s)
- Pool Marcos-Carbajal
- Universidad Peruana Unión, Escuela Profesional Medicina, Laboratorio de Investigación en Biología Molecular. Lima, Perú
| | - José Yareta-Yareta
- Universidad Peruana Unión, Escuela Profesional Medicina, Laboratorio de Investigación en Biología Molecular. Lima, Perú
| | - Miguel Otiniano-Trujillo
- Universidad Peruana Unión, Escuela Profesional Medicina, Laboratorio de Investigación en Biología Molecular. Lima, Perú
| | - Marco Galarza-Pérez
- Instituto Nacional de Salud, Centro Nacional de Salud Pública, Laboratorio de Biotecnología y Biología molecular. Lima, Perú
| | | | | | | | - Néstor Alejandro Luque-Chipana
- Universidad Peruana Unión, Escuela Profesional Medicina, Laboratorio de Investigación en Biología Molecular. Lima, Perú
- Hospital de Ate Vitarte, Unidad de Cuidados Intensivos. Lima, Perú
| | | | | | | | - Diana Santillán Ruiz
- Hospital de Tarapoto, Departamento de Anatomía Patológica y Patología Clínica. Tarapoto, Perú
| | - Luis Felipe Segura Chavez
- Universidad Peruana Unión, Escuela Profesional Medicina, Laboratorio de Investigación en Biología Molecular. Lima, Perú
| | - Cinthia Esther Sias Garay
- Universidad Peruana Unión, Escuela Profesional Medicina, Laboratorio de Investigación en Biología Molecular. Lima, Perú
| | - Alberto Salazar Granara
- Universidad San Martin de Porres, Centro de Investigación en Medicina Tradicional y Farmacología. Lima, Perú
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Perovic V, Glisic S, Veljkovic M, Paessler S, Veljkovic V. In Silico Exploration of CD200 as a Therapeutic Target for COVID-19. Microorganisms 2024; 12:1185. [PMID: 38930566 PMCID: PMC11205781 DOI: 10.3390/microorganisms12061185] [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: 05/20/2024] [Revised: 06/06/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024] Open
Abstract
SARS-CoV-2, the pathogen causing COVID-19, continues to pose a significant threat to public health and has had major economic implications. Developing safe and effective vaccines and therapies offers a path forward for overcoming the COVID-19 pandemic. The presented study, performed by using the informational spectrum method (ISM), representing an electronic biology-based tool for analysis of protein-protein interactions, identified the highly conserved region of spike protein (SP) from SARS-CoV-2 virus, which is essential for recognition and targeting between the virus and its protein interactors on the target cells. This domain is suggested as a promising target for the drug therapy and vaccines, which could be effective against all currently circulating variants of SARS-CoV-2 viruses. The analysis of the virus/host interaction, performed by the ISM, also revealed OX-2 membrane glycoprotein (CD200) as a possible interactor of SP, which could serve as a novel therapeutic target for COVID-19 disease.
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Affiliation(s)
- Vladimir Perovic
- Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia;
| | - Sanja Glisic
- Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia;
| | - Milena Veljkovic
- Department of Clinical Laboratory Medicine, Hospital for Cerebrovascular Diseases Sveti Sava, 11000 Belgrade, Serbia
| | - Slobodan Paessler
- Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA
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Ahmad H, Qureshi GS, Odeh LB, Annamma LM, Hossain A, Khan A, Haque S, Rasheed AK. Challenges of breastfeeding during COVID-19 and baby friendly protocols adopted at a maternity health center in the northern Emirates of UAE: a comprehensive review. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:65. [PMID: 38745335 PMCID: PMC11092138 DOI: 10.1186/s41043-024-00544-0] [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: 05/18/2023] [Accepted: 03/29/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND The outbreak of Coronavirus disease (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) has caused worldwide panic in the global population taking people's lives, creating fear, and affecting mother-child relationships. Many questions were raised on the dangers of being infected with COVID-19 for newborns and safety concerns during feeding by COVID-19-positive mothers. Moreover, questions and doubts about the safety of the administration of vaccinations for nursing mothers are still open. This review attempts to fill the existing literature gap by exploring concepts concerning COVID-19 and breastfeeding mothers, the safety of vaccinations, the beneficial effects of breastfeeding on both mother and child, important hygiene recommendations for SARS-CoV-2 infected mothers, and possible solutions to optimize breastfeeding and safety precautions amidst the fear of emergence of novel variants. METHODS All relevant publications from Google Scholar, PubMed, Web of Science, and Scopus search engines from December 2019 to October 2022 related to SARS-CoV-2, breastfeeding, COVID-19, lactating guidelines, and vaccination were included using 'Breastfeeding AND vaccine AND SARS-CoV-2' as MESH TERMS. Apart from the literature review, existing maternity protocols followed in Northern UAE were gathered from lactation consultants practicing in the UAE. RESULTS Out of 19,391 records generated, only 24 studies were analyzed and summarized in this exhaustive review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart. Previous studies suggest that breastmilk is predominantly the primary source of nutrition for neonates. Breast milk is a rich source of antibodies that help the baby to fight against infections including other benefits. Hygiene recommendations for suspected or confirmed COVID-19-infected mothers are required along with psychological and emotional support. CONCLUSIONS The administration of vaccinations should be advised and encouraged to protect the mothers with antibodies and the neonates by the passive transmission of antibodies through breast milk. This is a significant reason for not stopping breastfeeding even in case of COVID-19 infection. With adherence to proper hygiene methods, breastfeeding is recommended to be continued as the benefits greatly outweigh the risks.
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Affiliation(s)
- Hafiz Ahmad
- Department of Medical Microbiology and Immunology, RAK College of Medical Sciences, RAK Medical & Health Sciences University, 241, RAKMHSU Campus, Ras Al Khaimah, UAE.
- Microbiology and Molecular Division, NGS & COVID Laboratory, RAK Hospital, Ras Al Khaimah, UAE.
| | - Ghania Shehzad Qureshi
- RAK College of Medical Sciences, RAK Medical & Health Sciences University, Ras Al Khaimah, UAE
| | - Luma Bassam Odeh
- RAK College of Medical Sciences, RAK Medical & Health Sciences University, Ras Al Khaimah, UAE
| | - Lovely M Annamma
- Department of Clinical Sciences, College of Dentistry, Ajman University, Ajman, UAE
| | - Ashfaque Hossain
- Department of Medical Microbiology and Immunology, RAK College of Medical Sciences, RAK Medical & Health Sciences University, 241, RAKMHSU Campus, Ras Al Khaimah, UAE
| | - Azhar Khan
- Faculty of Biotechnology and Applied Sciences, Shoolini University of Biotechnology and Management Sciences, Solan, India
| | - Shabirul Haque
- The Feinstein Institute of Medical Research, Northwell Health, Manhasset, NY, USA
| | - Aswan Kinan Rasheed
- International Board-Certified Lactation Consultant, Al-Nakheel Public Health Clinic, Emirates Health Services, Ministry of Health and Prevention (MOHAP), Ras Al Khaimah, UAE
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4
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Lu RXZ, Zhao Y, Radisic M. The emerging role of heart-on-a-chip systems in delineating mechanisms of SARS-CoV-2-induced cardiac dysfunction. Bioeng Transl Med 2024; 9:e10581. [PMID: 38818123 PMCID: PMC11135153 DOI: 10.1002/btm2.10581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/20/2023] [Accepted: 07/10/2023] [Indexed: 06/01/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) has been a major global health concern since its emergence in 2019, with over 680 million confirmed cases as of April 2023. While COVID-19 has been strongly associated with the development of cardiovascular complications, the specific mechanisms by which viral infection induces myocardial dysfunction remain largely controversial as studies have shown that the severe acute respiratory syndrome coronavirus-2 can lead to heart failure both directly, by causing damage to the heart cells, and indirectly, by triggering an inflammatory response throughout the body. In this review, we summarize the current understanding of potential mechanisms that drive heart failure based on in vitro studies. We also discuss the significance of three-dimensional heart-on-a-chip technology in the context of the current and future pandemics.
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Affiliation(s)
- Rick Xing Ze Lu
- Institute of Biomedical EngineeringUniversity of TorontoTorontoOntarioCanada
| | - Yimu Zhao
- Institute of Biomedical EngineeringUniversity of TorontoTorontoOntarioCanada
- Toronto General Hospital Research InstituteUniversity Health NetworkTorontoOntarioCanada
| | - Milica Radisic
- Institute of Biomedical EngineeringUniversity of TorontoTorontoOntarioCanada
- Toronto General Hospital Research InstituteUniversity Health NetworkTorontoOntarioCanada
- Department of Chemical Engineering and Applied ChemistryUniversity of TorontoTorontoOntarioCanada
- Terence Donnelly Centre for Cellular & Biomolecular ResearchUniversity of TorontoTorontoOntarioCanada
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5
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Balasco N, Damaggio G, Esposito L, Colonna V, Vitagliano L. A comprehensive analysis of SARS-CoV-2 missense mutations indicates that all possible amino acid replacements in the viral proteins occurred within the first two-and-a-half years of the pandemic. Int J Biol Macromol 2024; 266:131054. [PMID: 38522702 DOI: 10.1016/j.ijbiomac.2024.131054] [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: 01/25/2024] [Revised: 02/27/2024] [Accepted: 03/08/2024] [Indexed: 03/26/2024]
Abstract
The surveillance of COVID-19 pandemic has led to the determination of millions of genome sequences of the SARS-CoV-2 virus, with the accumulation of a wealth of information never collected before for an infectious disease. Exploring the information retrieved from the GISAID database reporting at that time >13 million genome sequences, we classified the 141,639 unique missense mutations detected in the first two-and-a-half years (up to October 2022) of the pandemic. Notably, our analysis indicates that 98.2 % of all possible conservative amino acid replacements occurred. Even non-conservative mutations were highly represented (73.9 %). For a significant number of residues (3 %), all possible replacements with the other nineteen amino acids have been observed. These observations strongly indicate that, in this time interval, the virus explored all possible alternatives in terms of missense mutations for all sites of its polypeptide chain and that those that are not observed severely affect SARS-CoV-2 integrity. The implications of the present findings go well beyond the structural biology of SARS-CoV-2 as the huge amount of information here collected and classified may be valuable for the elucidation of the sequence-structure-function relationships in proteins.
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Affiliation(s)
- Nicole Balasco
- Institute of Molecular Biology and Pathology, CNR c/o Dep. Chemistry, Sapienza University of Rome, Rome, Italy.
| | - Gianluca Damaggio
- Institute of Genetics and Biophysics, CNR, Naples, Italy; Laboratory of Stem Cell Biology and Pharmacology of Neurodegenerative Diseases, Department of Biosciences, University of Milan, Milan, Italy; University of Naples Federico II, Naples, Italy
| | | | - Vincenza Colonna
- Institute of Genetics and Biophysics, CNR, Naples, Italy; Department of Genetics, Genomics and Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
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6
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Liu W, Huang Z, Xiao J, Wu Y, Xia N, Yuan Q. Evolution of the SARS-CoV-2 Omicron Variants: Genetic Impact on Viral Fitness. Viruses 2024; 16:184. [PMID: 38399960 PMCID: PMC10893260 DOI: 10.3390/v16020184] [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: 12/25/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Over the last three years, the pandemic of COVID-19 has had a significant impact on people's lives and the global economy. The incessant emergence of variant strains has compounded the challenges associated with the management of COVID-19. As the predominant variant from late 2021 to the present, Omicron and its sublineages, through continuous evolution, have demonstrated iterative viral fitness. The comprehensive elucidation of the biological implications that catalyzed this evolution remains incomplete. In accordance with extant research evidence, we provide a comprehensive review of subvariants of Omicron, delineating alterations in immune evasion, cellular infectivity, and the cross-species transmission potential. This review seeks to clarify the underpinnings of biology within the evolution of SARS-CoV-2, thereby providing a foundation for strategic considerations in the post-pandemic era of COVID-19.
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Affiliation(s)
- Wenhao Liu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Zehong Huang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Jin Xiao
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Yangtao Wu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Ningshao Xia
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Quan Yuan
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
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7
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Zhao Y, Sui L, Wu P, Li L, Liu L, Ma B, Wang W, Chi H, Wang ZD, Wei Z, Hou Z, Zhang K, Niu J, Jin N, Li C, Zhao J, Wang G, Liu Q. EGR1 functions as a new host restriction factor for SARS-CoV-2 to inhibit virus replication through the E3 ubiquitin ligase MARCH8. J Virol 2023; 97:e0102823. [PMID: 37772822 PMCID: PMC10653994 DOI: 10.1128/jvi.01028-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 08/13/2023] [Indexed: 09/30/2023] Open
Abstract
IMPORTANCE Emerging vaccine-breakthrough severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlight an urgent need for novel antiviral therapies. Understanding the pathogenesis of coronaviruses is critical for developing antiviral drugs. Here, we demonstrate that the SARS-CoV-2 N protein suppresses interferon (IFN) responses by reducing early growth response gene-1 (EGR1) expression. The overexpression of EGR1 inhibits SARS-CoV-2 replication by promoting IFN-regulated antiviral protein expression, which interacts with and degrades SARS-CoV-2 N protein via the E3 ubiquitin ligase MARCH8 and the cargo receptor NDP52. The MARCH8 mutants without ubiquitin ligase activity are no longer able to degrade SARS-CoV-2 N proteins, indicating that MARCH8 degrades SARS-CoV-2 N proteins dependent on its ubiquitin ligase activity. This study found a novel immune evasion mechanism of SARS-CoV-2 utilized by the N protein, which is helpful for understanding the pathogenesis of SARS-CoV-2 and guiding the design of new prevention strategies against the emerging coronaviruses.
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Affiliation(s)
- Yinghua Zhao
- Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis of the Ministry of Education, The First Hospital of Jilin University, Changchun, China
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Liyan Sui
- Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis of the Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Ping Wu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Letian Li
- Research Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Li Liu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Baohua Ma
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Wenfang Wang
- Department of Pathogenbiology, The Key Laboratory of Zoonosis, Chinese Ministry of Education, College of Basic Medicine, Jilin University, Changchun, China
| | - Hongmiao Chi
- Department of Pathogenbiology, The Key Laboratory of Zoonosis, Chinese Ministry of Education, College of Basic Medicine, Jilin University, Changchun, China
| | - Ze-Dong Wang
- Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis of the Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Zhengkai Wei
- School of Life Sciences and Engineering, Foshan University, Foshan, China
| | - Zhijun Hou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Kaiyu Zhang
- Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis of the Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Junqi Niu
- Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis of the Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Ningyi Jin
- Research Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Chang Li
- Research Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Jixue Zhao
- Department of Pediatric Surgery, The First Hospital of Jilin University, Changchun, China
| | - Guoqing Wang
- Department of Pathogenbiology, The Key Laboratory of Zoonosis, Chinese Ministry of Education, College of Basic Medicine, Jilin University, Changchun, China
| | - Quan Liu
- Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis of the Ministry of Education, The First Hospital of Jilin University, Changchun, China
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
- School of Life Sciences and Engineering, Foshan University, Foshan, China
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
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8
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Islam MA, Marzan AA, Arman MS, Shahi S, Sakif TI, Hossain M, Islam T, Hoque MN. Some common deleterious mutations are shared in SARS-CoV-2 genomes from deceased COVID-19 patients across continents. Sci Rep 2023; 13:18644. [PMID: 37903828 PMCID: PMC10616235 DOI: 10.1038/s41598-023-45517-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/20/2023] [Indexed: 11/01/2023] Open
Abstract
The identification of deleterious mutations in different variants of SARS-CoV-2 and their roles in the morbidity of COVID-19 patients has yet to be thoroughly investigated. To unravel the spectrum of mutations and their effects within SARS-CoV-2 genomes, we analyzed 5,724 complete genomes from deceased COVID-19 patients sourced from the GISAID database. This analysis was conducted using the Nextstrain platform, applying a generalized time-reversible model for evolutionary phylogeny. These genomes were compared to the reference strain (hCoV-19/Wuhan/WIV04/2019) using MAFFT v7.470. Our findings revealed that SARS-CoV-2 genomes from deceased individuals belonged to 21 Nextstrain clades, with clade 20I (Alpha variant) being the most predominant, followed by clade 20H (Beta variant) and clade 20J (Gamma variant). The majority of SARS-CoV-2 genomes from deceased patients (33.4%) were sequenced in North America, while the lowest percentage (0.98%) came from Africa. The 'G' clade was dominant in the SARS-CoV-2 genomes of Asian, African, and North American regions, while the 'GRY' clade prevailed in Europe. In our analysis, we identified 35,799 nucleotide (NT) mutations throughout the genome, with the highest frequency (11,402 occurrences) found in the spike protein. Notably, we observed 4150 point-specific amino acid (AA) mutations in SARS-CoV-2 genomes, with D614G (20%) and N501Y (14%) identified as the top two deleterious mutations in the spike protein on a global scale. Furthermore, we detected five common deleterious AA mutations, including G18V, W45S, I33T, P30L, and Q418H, which play a key role in defining each clade of SARS-CoV-2. Our novel findings hold potential value for genomic surveillance, enabling the monitoring of the evolving pattern of SARS-CoV-2 infection, its emerging variants, and their impact on the development of effective vaccination and control strategies.
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Affiliation(s)
- Md Aminul Islam
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, 2310, Bangladesh.
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
| | - Abdullah Al Marzan
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, 2310, Bangladesh
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Md Sakil Arman
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Shatila Shahi
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Tahsin Islam Sakif
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, 26506-6109, USA
| | - Maqsud Hossain
- University of Nottingham, Sutton Bonington Campus, LE12 5RD, Loughborough, NG7 2RD, Leicestershire, UK
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
| | - M Nazmul Hoque
- Molecular Biology and Bioinformatics Laboratory, Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
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Faghihkhorasani A, Ahmed HH, Mashool NM, Alwan M, Assefi M, Adab AH, Yasamineh S, Gholizadeh O, Baghani M. The potential use of bacteria and bacterial derivatives as drug delivery systems for viral infection. Virol J 2023; 20:222. [PMID: 37789431 PMCID: PMC10548687 DOI: 10.1186/s12985-023-02183-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 09/11/2023] [Indexed: 10/05/2023] Open
Abstract
Viral infections in humans are responsible for fatalities worldwide and contribute to the incidence of various human ailments. Controllable targeted medicine delivery against many illnesses, including viral infection, may be significantly aided by using bacteria and bacteria-derived products. They may accumulate in diseased tissues despite physical obstacles, where they can launch antiviral immunity. The ability to genetically and chemically modify them means that vaccinations against viral infections may be manufactured and delivered to affected tissues more safely and effectively. The objective of this study is to provide an overview of the latest advancements in the field of utilizing bacteria and bacterial derivatives as carriers for administering medication to treat viral diseases such as SARS-CoV-2, hepatitis B virus, hepatitis C virus, human immunodeficiency virus, human papillomavirus, influenza, and Ebola virus.
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Affiliation(s)
| | | | | | - Mariem Alwan
- Pharmacy College, Al-Farahidi University, Baghdad, Iraq
| | - Marjan Assefi
- University of North Carolina at Greensboro, Greensboro, USA
| | - Aya Hussein Adab
- Department of Pharmacy, Al-Zahrawi University College, Karbala, Iraq
| | - Saman Yasamineh
- Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran
| | - Omid Gholizadeh
- Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
| | - Moein Baghani
- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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10
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Makowski JA, Kensinger AH, Cunningham CL, Frye CJ, Shine M, Lackey PE, Mihailescu MR, Evanseck JD. Delta SARS-CoV-2 s2m Structure, Dynamics, and Entropy: Consequences of the G15U Mutation. ACS PHYSICAL CHEMISTRY AU 2023; 3:434-443. [PMID: 37780540 PMCID: PMC10540284 DOI: 10.1021/acsphyschemau.3c00008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/02/2023] [Accepted: 05/03/2023] [Indexed: 10/03/2023]
Abstract
Bioinformatic analysis of the Delta SARS-CoV-2 genome reveals a single nucleotide mutation (G15U) in the stem-loop II motif (s2m) relative to ancestral SARS-CoV-2. Despite sequence similarity, unexpected differences between SARS-CoV-2 and Delta SARS-CoV-2 s2m homodimerization experiments require the discovery of unknown structural and thermodynamic changes necessary to rationalize the data. Using our reported SARS-CoV-2 s2m model, we induced the G15U substitution and performed 3.5 microseconds of unbiased molecular dynamics simulation at 283 and 310 K. The resultant Delta s2m adopted a secondary structure consistent with our reported NMR data, resulting in significant deviations in the tertiary structure and dynamics from our SARS-CoV-2 s2m model. First, we find differences in the overall three-dimensional structure, where the characteristic 90° L-shaped kink of the SARS-CoV-2 s2m did not form in the Delta s2m resulting in a "linear" hairpin with limited bending dynamics. Delta s2m helical parameters are calculated to align closely with A-form RNA, effectively eliminating a hinge point to form the L-shape kink by correcting an upper stem defect in SARS-CoV-2 induced by a noncanonical and dynamic G:A base pair. Ultimately, the shape difference rationalizes the migration differences in reported electrophoresis experiments. Second, increased fluctuation of the Delta s2m palindromic sequence, within the terminal loop, compared to SARS-CoV-2 s2m results in an estimated increase of entropy of 6.8 kcal/mol at 310 K relative to the SARS-CoV-2 s2m. The entropic difference offers a unique perspective on why the Delta s2m homodimerizes less spontaneously, forming fewer kissing dimers and extended duplexes compared to SARS-CoV-2. In this work, both the L-shape reduction and palindromic entropic penalty provides an explanation of our reported in vitro electrophoresis homodimerization results. Ultimately, the structural, dynamical, and entropic differences between the SARS-CoV-2 s2m and Delta s2m serve to establish a foundation for future studies of the s2m function in the viral lifecycle.
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Affiliation(s)
- Joseph A. Makowski
- Department
of Chemistry and Biochemistry and Center for Computational Sciences, Duquesne University, Pittsburgh, Pennsylvania 15282, United States
| | - Adam H. Kensinger
- Department
of Chemistry and Biochemistry and Center for Computational Sciences, Duquesne University, Pittsburgh, Pennsylvania 15282, United States
| | - Caylee L. Cunningham
- Department
of Chemistry and Biochemistry and Center for Computational Sciences, Duquesne University, Pittsburgh, Pennsylvania 15282, United States
| | - Caleb J. Frye
- Department
of Chemistry and Biochemistry and Center for Computational Sciences, Duquesne University, Pittsburgh, Pennsylvania 15282, United States
| | - Morgan Shine
- Department
of Biochemistry and Chemistry, Westminster
College, New Wilmington, Pennsylvania 16172, United States
| | - Patrick E. Lackey
- Department
of Biochemistry and Chemistry, Westminster
College, New Wilmington, Pennsylvania 16172, United States
| | - Mihaela Rita Mihailescu
- Department
of Chemistry and Biochemistry and Center for Computational Sciences, Duquesne University, Pittsburgh, Pennsylvania 15282, United States
| | - Jeffrey D. Evanseck
- Department
of Chemistry and Biochemistry and Center for Computational Sciences, Duquesne University, Pittsburgh, Pennsylvania 15282, United States
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11
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Nagaraja M, Sireesha K, Srikar A, Sudheer Kumar K, Mohan A, Vengamma B, Tirumala C, Verma A, Kalawat U. Mutation Analysis of SARS-CoV-2 Variants Isolated from Symptomatic Cases from Andhra Pradesh, India. Viruses 2023; 15:1656. [PMID: 37631999 PMCID: PMC10458099 DOI: 10.3390/v15081656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/17/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023] Open
Abstract
There has been a continuous evolution in the SARS-CoV-2 genome; therefore, it is necessary to monitor the shifts in the SARS-CoV-2 variants. This study aimed to detect various SARS-CoV-2 variants circulating in the state of Andhra Pradesh, India. The study attempted to sequence the complete S-gene of SARS-CoV-2 of 104 clinical samples using Sanger's method to analyze and compare the mutations with the global prevalence. The method standardized in this study was able to amplify the complete length of the S-gene (3822 bp). The resulting nucleotide and amino acid mutations were analyzed and compared with the local and global SARS-CoV-2 databases using Nextclade and GISAID tools. The Delta variant was the most common variant reported in the present study, followed by the Omicron variant. A variant name was not assigned to thirteen samples using the Nextclade tool. There were sixty-nine types of amino acid substitutions reported (excluding private mutations) throughout the spike gene. The T95I mutation was observed predominantly in Delta variants (15/38), followed by Kappa (3/8) and Omicron (1/31). Nearly all Alpha and Omicron lineages had the N501Y substitution; Q493R was observed only in the Omicron lineage; and other mutations (L445, F486, and S494) were not observed in the present study. Most of these mutations found in the Omicron variant are located near the furin cleavage site, which may play a role in the virulence, pathogenicity, and transmission of the virus. Phylogenetic analysis showed that the 104 complete CDS of SARS-CoV-2 belonged to different phylogenetic clades like 20A, 20B, 20I (Alpha), 21A (Delta), 21B (Kappa), 21I (Delta), 21J (Delta), and 21L (Omicron).
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Affiliation(s)
- Mudhigeti Nagaraja
- State-Level VRDL, Department of Clinical Virology, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Kodavala Sireesha
- Regional Center for ISCP-NCDC, Department of Clinical Virology, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Anagoni Srikar
- State-Level VRDL, Department of Clinical Virology, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Katari Sudheer Kumar
- State-Level VRDL, Department of Clinical Virology, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Alladi Mohan
- Department of Medicine, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Bhuma Vengamma
- Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Chejarla Tirumala
- Department of Tuberculosis and Respiratory Diseases, Sri Balaji Medical College Hospital and Research Institute, Renigunta, Tirupati 517 507, Andhra Pradesh, India
| | - Anju Verma
- Department of Clinical Virology, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
| | - Usha Kalawat
- Department of Clinical Virology, Sri Venkateswara Institute of Medical Sciences, Tirupati 517 507, Andhra Pradesh, India
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12
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Caixeta DC, Paranhos LR, Blumenberg C, Garcia-Júnior MA, Guevara-Vega M, Taveira EB, Nunes MAC, Cunha TM, Jardim ACG, Flores-Mir C, Sabino-Silva R. Salivary SARS-CoV-2 RNA for diagnosis of COVID-19 patients: a systematic revisew and meta-analysis of diagnostic accuracy. JAPANESE DENTAL SCIENCE REVIEW 2023:S1882-7616(23)00016-9. [PMID: 37360001 PMCID: PMC10284464 DOI: 10.1016/j.jdsr.2023.06.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/22/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023] Open
Abstract
Accurate, self-collected, and non-invasive diagnostics are critical to perform mass-screening diagnostic tests for COVID-19. This systematic review with meta-analysis evaluated the accuracy, sensitivity, and specificity of salivary diagnostics for COVID-19 based on SARS-CoV-2 RNA compared with the current reference tests using a nasopharyngeal swab (NPS) and/or oropharyngeal swab (OPS). An electronic search was performed in seven databases to find COVID-19 diagnostic studies simultaneously using saliva and NPS/OPS tests to detect SARS-CoV-2 by RT-PCR. The search resulted in 10,902 records, of which 44 studies were considered eligible. The total sample consisted of 14,043 participants from 21 countries. The accuracy, specificity, and sensitivity for saliva compared with the NPS/OPS was 94.3% (95%CI= 92.1;95.9), 96.4% (95%CI= 96.1;96.7), and 89.2% (95%CI= 85.5;92.0), respectively. Besides, the sensitivity of NPS/OPS was 90.3% (95%CI= 86.4;93.2) and saliva was 86.4% (95%CI= 82.1;89.8) compared to the combination of saliva and NPS/OPS as the gold standard. These findings suggest a similarity in SARS-CoV-2 RNA detection between NPS/OPS swabs and saliva, and the association of both testing approaches as a reference standard can increase by 3.6% the SARS-CoV-2 detection compared with NPS/OPS alone. This study supports saliva as an attractive alternative for diagnostic platforms to provide a non-invasive detection of SARS-CoV-2.
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Affiliation(s)
- Douglas Carvalho Caixeta
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Luiz Renato Paranhos
- School of Dentistry, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Cauane Blumenberg
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Marcelo Augusto Garcia-Júnior
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Marco Guevara-Vega
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Elisa Borges Taveira
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Marjorie Adriane Costa Nunes
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
- School of Dentistry, CEUMA University, Sao Luiz, MA, Brazil
| | - Thúlio Marquez Cunha
- Department of Pulmonology, School of Medicine, Federal University of Uberlandia, Minas Gerais, Brazil
| | - Ana Carolina Gomes Jardim
- Laboratory of Antiviral Research, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Carlos Flores-Mir
- Division of Orthodontics, School of Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Robinson Sabino-Silva
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
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13
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AlMalki FA, Albukhaty S, Alyamani AA, Khalaf MN, Thomas S. The relevant information about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using the five-question approach (when, where, what, why, and how) and its impact on the environment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:61430-61454. [PMID: 35175517 PMCID: PMC8852932 DOI: 10.1007/s11356-022-18868-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 01/21/2022] [Indexed: 05/08/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is regarded as a threat because it spreads quickly across the world without requiring a passport or establishing an identity. This tiny virus has wreaked havoc on people's lives, killed people, and created psychological problems all over the world. The viral spike protein (S) significantly contributes to host cell entry, and mutations associated with it, particularly in the receptor-binding protein (RBD), either facilitate the escape of virus from neutralizing antibodies or enhance its transmission by increasing the affinity for cell entry receptor, angiotensin-converting enzyme 2 (ACE2). The initial variants identified in Brazil, South Africa, and the UK have spread to various countries. On the other hand, new variants are being detected in India and the USA. The viral genome and proteome were applied for molecular detection techniques, and nanotechnology particles and materials were utilized in protection and prevention strategies. Consequently, the SARS-CoV-2 pandemic has resulted in extraordinary scientific community efforts to develop detection methods, diagnosis tools, and effective antiviral drugs and vaccines, where prevailing academic, governmental, and industrial institutions and organizations continue to engage themselves in large-scale screening of existing drugs, both in vitro and in vivo. In addition, COVID-19 pointed on the possible solutions for the environmental pollution globe problem. Therefore, this review aims to address SARS-CoV-2, its transmission, where it can be found, why it is severe in some people, how it can be stopped, its diagnosis and detection techniques, and its relationship with the environment.
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Affiliation(s)
- Faizah A AlMalki
- Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia.
| | - Salim Albukhaty
- Deptartment of Chemistry, College of Science, University of Misan, Maysan, 62001, Iraq
| | - Amal A Alyamani
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia
| | - Moayad N Khalaf
- Deptartment of Chemistry, College of Science, University of Basrah, Basrah, Iraq
| | - Sabu Thomas
- Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala, 686 560, India
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14
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Arduini A, Laprise F, Liang C. SARS-CoV-2 ORF8: A Rapidly Evolving Immune and Viral Modulator in COVID-19. Viruses 2023; 15:871. [PMID: 37112851 PMCID: PMC10141009 DOI: 10.3390/v15040871] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
The COVID-19 pandemic has resulted in upwards of 6.8 million deaths over the past three years, and the frequent emergence of variants continues to strain global health. Although vaccines have greatly helped mitigate disease severity, SARS-CoV-2 is likely to remain endemic, making it critical to understand its viral mechanisms contributing to pathogenesis and discover new antiviral therapeutics. To efficiently infect, this virus uses a diverse set of strategies to evade host immunity, accounting for its high pathogenicity and rapid spread throughout the COVID-19 pandemic. Behind some of these critical host evasion strategies is the accessory protein Open Reading Frame 8 (ORF8), which has gained recognition in SARS-CoV-2 pathogenesis due to its hypervariability, secretory property, and unique structure. This review discusses the current knowledge on SARS-CoV-2 ORF8 and proposes actualized functional models describing its pivotal roles in both viral replication and immune evasion. A better understanding of ORF8's interactions with host and viral factors is expected to reveal essential pathogenic strategies utilized by SARS-CoV-2 and inspire the development of novel therapeutics to improve COVID-19 disease outcomes.
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Affiliation(s)
- Ariana Arduini
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (A.A.); (F.L.)
- Department of Medicine, McGill University, Montreal, QC H3G 2M1, Canada
| | - Frederique Laprise
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (A.A.); (F.L.)
- Department of Microbiology and Immunology, McGill University, Montreal, QC H3A 2B4, Canada
| | - Chen Liang
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (A.A.); (F.L.)
- Department of Medicine, McGill University, Montreal, QC H3G 2M1, Canada
- Department of Microbiology and Immunology, McGill University, Montreal, QC H3A 2B4, Canada
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15
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Grujičić D, Mirkov L, Banković D, Virijević K, Marinković D, Milošević-Djordjević O. Homozygous-Recessive Characteristics as a Biomarker of Predisposition for COVID-19. Clin Nurs Res 2023; 32:589-600. [PMID: 36695163 PMCID: PMC9902784 DOI: 10.1177/10547738221147754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Coronavirus disease (COVID-19), a new form of severe acute respiratory syndrome, has caused a global pandemic. The aim of this study was to analyze homozygous-recessive characteristics (HRC) in the group of COVID-19 patients, considering their gender, forms of the disease (mild and severe symptoms), risk factors: hypertension, diabetes mellitus type 2, hyperlipidemia, smoking habits, and the distribution of ABO blood group. Using the HRC test, we analyzed 20 HRCs in a sample of 321 individuals: 205 patients and 116 controls. The average HRC in patients was significantly higher than controls, as well as in patients with severe symptoms compared to patients with mild symptoms. The patients with higher HRC (cut-off ≤5.5) experienced a significantly increased risk of disease of 2.3 times (OR = 2.315, p < .0005). Our results indicate that the HRC test could be used as a screening in recognizing predisposition for COVID-19.
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16
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Zhou S, Lv P, Li M, Chen Z, Xin H, Reilly S, Zhang X. SARS-CoV-2 E protein: Pathogenesis and potential therapeutic development. Biomed Pharmacother 2023; 159:114242. [PMID: 36652729 PMCID: PMC9832061 DOI: 10.1016/j.biopha.2023.114242] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/09/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a devastating global pandemic, which has seriously affected human health worldwide. The discovery of therapeutic agents is extremely urgent, and the viral structural proteins are particularly important as potential drug targets. SARS-CoV-2 envelope (E) protein is one of the main structural proteins of the virus, which is involved in multiple processes of the virus life cycle and is directly related to pathogenesis process. In this review, we present the amino acid sequence of the E protein and compare it with other two human coronaviruses. We then explored the role of E protein in the viral life cycle and discussed the pathogenic mechanisms that E protein may be involved in. Next, we summarize the potential drugs against E protein discovered in the current studies. Finally, we described the possible effects of E protein mutation on virus and host. This established a knowledge system of E protein to date, aiming to provide theoretical insights for mitigating the current COVID-19 pandemic and potential future coronavirus outbreaks.
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Affiliation(s)
- Shilin Zhou
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China.
| | - Panpan Lv
- Clinical Laboratory, Minhang Hospital, Fudan University, Shanghai, China.
| | - Mingxue Li
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China.
| | - Zihui Chen
- School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Hong Xin
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China.
| | - Svetlana Reilly
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
| | - Xuemei Zhang
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China.
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17
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Intragenomic rearrangements involving 5'-untranslated region segments in SARS-CoV-2, other betacoronaviruses, and alphacoronaviruses. Virol J 2023; 20:36. [PMID: 36829234 PMCID: PMC9957694 DOI: 10.1186/s12985-023-01998-0] [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: 05/08/2022] [Accepted: 02/21/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Variation of the betacoronavirus SARS-CoV-2 has been the bane of COVID-19 control. Documented variation includes point mutations, deletions, insertions, and recombination among closely or distantly related coronaviruses. Here, we describe yet another aspect of genome variation by beta- and alphacoronaviruses that was first documented in an infectious isolate of the betacoronavirus SARS-CoV-2, obtained from 3 patients in Hong Kong that had a 5'-untranslated region segment at the end of the ORF6 gene that in its new location translated into an ORF6 protein with a predicted modified carboxyl terminus. While comparing the amino acid sequences of translated ORF8 genes in the GenBank database, we found a subsegment of the same 5'-UTR-derived amino acid sequence modifying the distal end of ORF8 of an isolate from the United States and decided to carry out a systematic search. METHODS Using the nucleotide and in the case of SARS-CoV-2 also the translated amino acid sequence in three reading frames of the genomic termini of coronaviruses as query sequences, we searched for 5'-UTR sequences in regions other than the 5'-UTR in SARS-CoV-2 and reference strains of alpha-, beta-, gamma-, and delta-coronaviruses. RESULTS We here report numerous genomic insertions of 5'-untranslated region sequences into coding regions of SARS-CoV-2, other betacoronaviruses, and alphacoronaviruses, but not delta- or gammacoronaviruses. To our knowledge this is the first systematic description of such insertions. In many cases, these insertions would change viral protein sequences and further foster genomic flexibility and viral adaptability through insertion of transcription regulatory sequences in novel positions within the genome. Among human Embecorivus betacoronaviruses, for instance, from 65% to all of the surveyed sequences in publicly available databases contain inserted 5'-UTR sequences. CONCLUSION The intragenomic rearrangements involving 5'-untranslated region sequences described here, which in several cases affect highly conserved genes with a low propensity for recombination, may underlie the generation of variants homotypic with those of concern or interest and with potentially differing pathogenic profiles. Intragenomic rearrangements thus add to our appreciation of how variants of SARS-CoV-2 and other beta- and alphacoronaviruses may arise.
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18
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Islam MA, Shahi S, Marzan AA, Amin MR, Hasan MN, Hoque MN, Ghosh A, Barua A, Khan A, Dhama K, Chakraborty C, Bhattacharya P, Wei DQ. Variant-specific deleterious mutations in the SARS-CoV-2 genome reveal immune responses and potentials for prophylactic vaccine development. Front Pharmacol 2023; 14:1090717. [PMID: 36825152 PMCID: PMC9941545 DOI: 10.3389/fphar.2023.1090717] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/19/2023] [Indexed: 02/10/2023] Open
Abstract
Introduction: Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has had a disastrous effect worldwide during the previous three years due to widespread infections with SARS-CoV-2 and its emerging variations. More than 674 million confirmed cases and over 6.7 million deaths have been attributed to successive waves of SARS-CoV-2 infections as of 29th January 2023. Similar to other RNA viruses, SARS-CoV-2 is more susceptible to genetic evolution and spontaneous mutations over time, resulting in the continual emergence of variants with distinct characteristics. Spontaneous mutations of SARS-CoV-2 variants increase its transmissibility, virulence, and disease severity and diminish the efficacy of therapeutics and vaccines, resulting in vaccine-breakthrough infections and re-infection, leading to high mortality and morbidity rates. Materials and methods: In this study, we evaluated 10,531 whole genome sequences of all reported variants globally through a computational approach to assess the spread and emergence of the mutations in the SARS-CoV-2 genome. The available data sources of NextCladeCLI 2.3.0 (https://clades.nextstrain.org/) and NextStrain (https://nextstrain.org/) were searched for tracking SARS-CoV-2 mutations, analysed using the PROVEAN, Polyphen-2, and Predict SNP mutational analysis tools and validated by Machine Learning models. Result: Compared to the Wuhan-Hu-1 reference strain NC 045512.2, genome-wide annotations showed 16,954 mutations in the SARS-CoV-2 genome. We determined that the Omicron variant had 6,307 mutations (retrieved sequence:1947), including 67.8% unique mutations, more than any other variant evaluated in this study. The spike protein of the Omicron variant harboured 876 mutations, including 443 deleterious mutations. Among these deleterious mutations, 187 were common and 256 were unique non-synonymous mutations. In contrast, after analysing 1,884 sequences of the Delta variant, we discovered 4,468 mutations, of which 66% were unique, and not previously reported in other variants. Mutations affecting spike proteins are mostly found in RBD regions for Omicron, whereas most of the Delta variant mutations drawn to focus on amino acid regions ranging from 911 to 924 in the context of epitope prediction (B cell & T cell) and mutational stability impact analysis protruding that Omicron is more transmissible. Discussion: The pathogenesis of the Omicron variant could be prevented if the deleterious and persistent unique immunosuppressive mutations can be targeted for vaccination or small-molecule inhibitor designing. Thus, our findings will help researchers monitor and track the continuously evolving nature of SARS-CoV-2 strains, the associated genetic variants, and their implications for developing effective control and prophylaxis strategies.
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Affiliation(s)
- Md. Aminul Islam
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Bangladesh,COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, Bangladesh,*Correspondence: Md. Aminul Islam, , ; Prosun Bhattacharya,
| | - Shatila Shahi
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Abdullah Al Marzan
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Mohammad Ruhul Amin
- COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Mohammad Nayeem Hasan
- Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
| | - Ajit Ghosh
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Abanti Barua
- COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Abbas Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China,Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Nayang, Henan, China
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India
| | - Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, India
| | - Prosun Bhattacharya
- COVID-19 Research @KTH, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden,*Correspondence: Md. Aminul Islam, , ; Prosun Bhattacharya,
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China,Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Nayang, Henan, China,Peng Cheng Laboratory, Shenzhen, Guangdong, China
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19
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Haque S, Khatoon F, Ashgar SS, Faidah H, Bantun F, Jalal NA, Qashqari FSI, Kumar V. Energetic and frustration analysis of SARS-CoV-2 nucleocapsid protein mutations. Biotechnol Genet Eng Rev 2023:1-21. [PMID: 36708355 DOI: 10.1080/02648725.2023.2170031] [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: 08/07/2022] [Accepted: 01/11/2023] [Indexed: 01/29/2023]
Abstract
The ongoing COVID-19 spreads worldwide with the ability to evolve in diverse human populations. The nucleocapsid (N) protein is one of the mutational hotspots in the SARS-CoV-2 genome. The N protein is an abundant RNA-binding protein critical for viral genome packaging. It comprises two large domains including the N-terminal domain (NTD) and the C-terminal domain (CTD) linked by the centrally located linker region. Mutations in N protein have been reported to increase the severity of disease by modulating viral transmissibility, replication efficiency as well as virulence properties of the virus in different parts of the world. To study the effect of N protein missense mutations on protein stability, function, and pathogenicity, we analyzed 228 mutations from each domain of N protein. Further, we have studied the effect of mutations on local residual frustration changes in N protein. Out of 228 mutations, 11 mutations were predicted to be deleterious and destabilized. Among these mutations, R32C, R191C, and R203 M mutations fall into disordered regions and show significant change in frustration state. Overall, this work reveals that by altering the energetics and residual frustration, N protein mutations might affect the stability, function, and pathogenicity of the SARS-CoV-2.
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Affiliation(s)
- Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon
- Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Fatima Khatoon
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, India
| | - Sami S Ashgar
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Hani Faidah
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Farkad Bantun
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Naif A Jalal
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Fadi S I Qashqari
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Vijay Kumar
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, India
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20
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Hoque MN, Rahman MS, Sarkar MMH, Habib MA, Akter S, Banu TA, Goswami B, Jahan I, Hossain MA, Khan MS, Islam T. Transcriptome analysis reveals increased abundance and diversity of opportunistic fungal pathogens in nasopharyngeal tract of COVID-19 patients. PLoS One 2023; 18:e0278134. [PMID: 36656835 PMCID: PMC9851516 DOI: 10.1371/journal.pone.0278134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 11/09/2022] [Indexed: 01/20/2023] Open
Abstract
We previously reported that SARS-CoV-2 infection reduces human nasopharyngeal commensal microbiomes (bacteria, archaea and commensal respiratory viruses) with inclusion of pathobionts. This study aimed to assess the possible changes in the abundance and diversity of resident mycobiome in the nasopharyngeal tract (NT) of humans due to SARS-CoV-2 infections. Twenty-two (n = 22) nasopharyngeal swab samples (including COVID-19 = 8, Recovered = 7, and Healthy = 7) were collected for RNA-sequencing followed by taxonomic profiling of mycobiome. Our analyses indicate that SARS-CoV-2 infection significantly increased (p < 0.05, Wilcoxon test) the population and diversity of fungi in the NT with inclusion of a high proportion of opportunistic pathogens. We detected 863 fungal species including 533, 445, and 188 species in COVID-19, Recovered, and Healthy individuals, respectively that indicate a distinct mycobiome dysbiosis due to the SARS-CoV-2 infection. Remarkably, 37% of the fungal species were exclusively associated with SARS-CoV-2 infection, where S. cerevisiae (88.62%) and Phaffia rhodozyma (10.30%) were two top abundant species. Likewise, Recovered humans NT samples were predominated by Aspergillus penicillioides (36.64%), A. keveii (23.36%), A. oryzae (10.05%) and A. pseudoglaucus (4.42%). Conversely, Nannochloropsis oceanica (47.93%), Saccharomyces pastorianus (34.42%), and S. cerevisiae (2.80%) were the top abundant fungal species in Healthy controls nasal swabs. Importantly, 16% commensal fungal species found in the Healthy controls were not detected in either COVID-19 patients or when they were cured from COVID-19 (Recovered). We also detected several altered metabolic pathways correlated with the dysbiosis of fungal mycobiota in COVID-19 patients. Our results suggest that SARS-CoV-2 infection causes significant dysbiosis of mycobiome and related metabolic functions possibly play a determining role in the progression of SARS-CoV-2 pathogenesis. These findings might be helpful for developing mycobiome-based diagnostics, and also devising appropriate therapeutic regimens including antifungal drugs for prevention and control of concurrent fungal coinfections in COVID-19 patients.
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Affiliation(s)
- M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
| | - M. Shaminur Rahman
- Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh
| | | | - Md Ahashan Habib
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh
| | - Shahina Akter
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh
| | - Tanjina Akhtar Banu
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh
| | - Barna Goswami
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh
| | - Iffat Jahan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh
| | - M. Anwar Hossain
- Jashore Unive rsity of Science and Technology, Jashore, Bangladesh
| | - M. Salim Khan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhanmondi, Dhaka, Bangladesh
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), BSMRAU, Gazipur, Bangladesh
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21
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S A, K G, A AM. Intermodulation of gut-lung axis microbiome and the implications of biotics to combat COVID-19. J Biomol Struct Dyn 2022; 40:14262-14278. [PMID: 34699326 DOI: 10.1080/07391102.2021.1994875] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The novel coronavirus disease pandemic caused by the COVID-19 virus has infected millions of people around the world with a surge in transmission and mortality rates. Although it is a respiratory viral infection that affects airway epithelial cells, a diverse set of complications, including cytokine storm, gastrointestinal disorders, neurological distress, and hyperactive immune responses have been reported. However, growing evidence indicates that the bidirectional crosstalk of the gut-lung axis can decipher the complexity of the disease. Though not much research has been focused on the gut-lung axis microbiome, there is a translocation of COVID-19 infection from the lung to the gut through the lymphatic system resulting in disruption of gut permeability and its integrity. It is believed that detailed elucidation of the gut-lung axis crosstalk and the role of microbiota can unravel the most significant insights on the discovery of diagnosis using microbiome-based-therapeutics for COVID-19. This review calls attention to relate the influence of dysbiosis caused by COVID-19 and the involvement of the gut-lung axis. It presents first of its kind details that concentrate on the momentousness of biotics in disease progression and restoration. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Aishwarya S
- Department of Bioinformatics, Stella Maris College, Chennai, India.,Centre for Advanced Studies in Crystallography and Biophysics, University of Madras, Chennai, India
| | - Gunasekaran K
- Centre for Advanced Studies in Crystallography and Biophysics, University of Madras, Chennai, India
| | - Anita Margret A
- Department of Biotechnology and Bioinformatics, Bishop Heber College, Tiruchirappalli, Tamil Nadu, India
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22
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Vivekanandam R, Rajagopalan K, Jeevanandam M, Ganesan H, Jagannathan V, Selvan Christyraj JD, Kalimuthu K, Selvan Christyraj JRS, Mohan M. Designing of cytotoxic T lymphocyte-based multi-epitope vaccine against SARS-CoV2: a reverse vaccinology approach. J Biomol Struct Dyn 2022; 40:13711-13726. [PMID: 34696708 DOI: 10.1080/07391102.2021.1993338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
SARS-CoV2 is a single-stranded RNA virus, gaining much attention after it out broke in China in December 2019. The virus rapidly spread to several countries around the world and caused severe respiratory illness to humans. Since the outbreak, researchers around the world have devoted maximum resources and effort to develop a potent vaccine that would offer protection to uninfected individuals against SARS-CoV2. Reverse vaccinology is a relatively new approach that thrives faster in vaccine research. In this study, we constructed Cytotoxic T Lymphocytes (CTL)-based multi-epitope vaccine using hybrid epitope prediction methods. A total of 121 immunogenic CTL epitopes were screened by various sequence-based prediction methods and docked with their respective HLA alleles using the AutoDock Vina v1.1.2. In all, 17 epitopes were selected based on their binding affinity, followed by the construction of multi-epitope vaccine by placing the appropriate linkers between the epitopes and tuberculosis heparin-binding hemagglutinin (HBHA) adjuvant. The final vaccine construct was modeled by the I-TASSER server and the best model was further validated by ERRAT, ProSA, and PROCHECK servers. Furthermore, the molecular interaction of the constructed vaccine with TLR4 was assessed by ClusPro 2.0 and PROtein binDIng enerGY prediction (PRODIGY) server. The immune simulation analysis confirms that the constructed vaccine was capable of inducing long-lasting memory T helper (Th) and CTL responses. Finally, the nucleotide sequence was codon-optimized by the JCAT tool and cloned into the pET21a (+) vector. The current results reveal that the candidate vaccine is capable of provoking robust CTL response against the SARS-CoV2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Reethu Vivekanandam
- Department of Biotechnology, Bharathiyar University, Coimbatore, Tamilnadu, India
| | - Kamarajan Rajagopalan
- Regeneration and Stem Cell Biology Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India
| | - Madesh Jeevanandam
- Department of Biochemistry, PSG college of Arts and Science, Coimbatore, Tamilnadu, India
| | - Harsha Ganesan
- Chettinad Academy of Research and Education (CARE), Chettinad Hospital and Research Institute (CHRI), Chennai, Tamilnadu, India
| | - Vaishnavi Jagannathan
- Institute of Forest Genetics and Tree Breeding (IFGTB), Coimbatore, Tamilnadu, India
| | - Jackson Durairaj Selvan Christyraj
- Regeneration and Stem Cell Biology Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India
| | - Kalishwaralal Kalimuthu
- Department of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Johnson Retnaraj Samuel Selvan Christyraj
- Regeneration and Stem Cell Biology Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India
| | - Manikandan Mohan
- Vaxigen International Research Center Private Limited, Coimbatore, Tamilnadu, India.,Department of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, Athens, GA, USA
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23
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Abavisani M, Rahimian K, Mahdavi B, Tokhanbigli S, Mollapour Siasakht M, Farhadi A, Kodori M, Mahmanzar M, Meshkat Z. Mutations in SARS-CoV-2 structural proteins: a global analysis. Virol J 2022; 19:220. [PMID: 36528612 PMCID: PMC9759450 DOI: 10.1186/s12985-022-01951-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Emergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally. METHODS We analyzed samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the declaration of the coronavirus 2019 (COVID-19) as pandemic to January 2022. The presence and location of mutations were then investigated by aligning the sequences to the reference sequence and categorizing them based on frequency and continent. Finally, the related human genes with the viral structural genes were discovered, and their interactions were reported. RESULTS The results indicated that the most relative mutations among the E, M, N, and S AASs occurred in the regions of 7 to 14, 66 to 88, 164 to 205, and 508 to 635 AAs, respectively. The most frequent mutations in E, M, N, and S proteins were T9I, I82T, R203M/R203K, and D614G. D614G was the most frequent mutation in all six geographical areas. Following D614G, L18F, A222V, E484K, and N501Y, respectively, were ranked as the most frequent mutations in S protein globally. Besides, A-kinase Anchoring Protein 8 Like (AKAP8L) was shown as the linkage unit between M, E, and E cluster genes. CONCLUSION Screening the structural protein mutations can help scientists introduce better drug and vaccine development strategies.
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Affiliation(s)
- Mohammad Abavisani
- grid.411583.a0000 0001 2198 6209Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran ,grid.411583.a0000 0001 2198 6209Department of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Karim Rahimian
- grid.46072.370000 0004 0612 7950Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
| | - Bahar Mahdavi
- grid.417689.5Department of Molecular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran
| | - Samaneh Tokhanbigli
- grid.411463.50000 0001 0706 2472Department of Molecular and Cellular Sciences, Faculty of Advanced Sciences and Technology, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Mahsa Mollapour Siasakht
- grid.5645.2000000040459992XDepartment of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Amin Farhadi
- grid.412462.70000 0000 8810 3346Department of Biology, Payame Noor University, Tehran, Iran
| | - Mansoor Kodori
- grid.510756.00000 0004 4649 5379Non Communicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran
| | - Mohammadamin Mahmanzar
- grid.46072.370000 0004 0612 7950Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran
| | - Zahra Meshkat
- grid.411583.a0000 0001 2198 6209Department of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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24
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Sokhansanj BA, Zhao Z, Rosen GL. Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity. BIOLOGY 2022; 11:1786. [PMID: 36552295 PMCID: PMC9774807 DOI: 10.3390/biology11121786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 11/28/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022]
Abstract
Through the COVID-19 pandemic, SARS-CoV-2 has gained and lost multiple mutations in novel or unexpected combinations. Predicting how complex mutations affect COVID-19 disease severity is critical in planning public health responses as the virus continues to evolve. This paper presents a novel computational framework to complement conventional lineage classification and applies it to predict the severe disease potential of viral genetic variation. The transformer-based neural network model architecture has additional layers that provide sample embeddings and sequence-wide attention for interpretation and visualization. First, training a model to predict SARS-CoV-2 taxonomy validates the architecture's interpretability. Second, an interpretable predictive model of disease severity is trained on spike protein sequence and patient metadata from GISAID. Confounding effects of changing patient demographics, increasing vaccination rates, and improving treatment over time are addressed by including demographics and case date as independent input to the neural network model. The resulting model can be interpreted to identify potentially significant virus mutations and proves to be a robust predctive tool. Although trained on sequence data obtained entirely before the availability of empirical data for Omicron, the model can predict the Omicron's reduced risk of severe disease, in accord with epidemiological and experimental data.
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Affiliation(s)
- Bahrad A. Sokhansanj
- Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Department of Electrical & Computer Engineering, College of Engineering, Drexel University, Philadelphia, PA 19104, USA
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25
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Hassan SS, Kodakandla V, Redwan EM, Lundstrom K, Choudhury PP, Serrano-Aroca Á, Azad GK, Aljabali AAA, Palu G, Abd El-Aziz TM, Barh D, Uhal BD, Adadi P, Takayama K, Bazan NG, Tambuwala M, Sherchan SP, Lal A, Chauhan G, Baetas-da-Cruz W, Uversky VN. Non-uniform aspects of the SARS-CoV-2 intraspecies evolution reopen question of its origin. Int J Biol Macromol 2022; 222:972-993. [PMID: 36174872 PMCID: PMC9511875 DOI: 10.1016/j.ijbiomac.2022.09.184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 05/04/2022] [Accepted: 09/20/2022] [Indexed: 12/01/2022]
Abstract
Several hypotheses have been presented on the origin of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) from its identification as the agent causing the current coronavirus disease 19 (COVID-19) pandemic. So far, no solid evidence has been found to support any hypothesis on the origin of this virus, and the issue continue to resurface over and over again. Here we have unfolded a pattern of distribution of several mutations in the SARS-CoV-2 proteins in 24 geo-locations across different continents. The results showed an evenly uneven distribution of the unique protein variants, distinct mutations, unique frequency of common conserved residues, and mutational residues across these 24 geo-locations. Furthermore, ample mutations were identified in the evolutionarily conserved invariant regions in the SARS-CoV-2 proteins across almost all geo-locations studied. This pattern of mutations potentially breaches the law of evolutionary conserved functional units of the beta-coronavirus genus. These mutations may lead to several novel SARS-CoV-2 variants with a high degree of transmissibility and virulence. A thorough investigation on the origin and characteristics of SARS-CoV-2 needs to be conducted in the interest of science and for the preparation of meeting the challenges of potential future pandemics.
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Affiliation(s)
- Sk Sarif Hassan
- Department of Mathematics, Pingla Thana Mahavidyalaya, Maligram, Paschim Medinipur, 721140, West Bengal, India.
| | - Vaishnavi Kodakandla
- Department of Life sciences, Sophia College For Women, University of Mumbai, Bhulabhai Desai Road, Mumbai 400026, India
| | - Elrashdy M Redwan
- Biological Science Department, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia; Therapeutic and Protective Proteins Laboratory, Protein Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications, New Borg EL-Arab 21934, Alexandria, Egypt.
| | | | - Pabitra Pal Choudhury
- Indian Statistical Institute, Applied Statistics Unit, 203 B T Road, Kolkata 700108, India
| | - Ángel Serrano-Aroca
- Biomaterials and Bioengineering Lab, Centro de Investigacion Traslacional San Alberto Magno, Universidad Cat'olica de Valencia San Vicente Martir, c/Guillem de Castro, 94, 46001 Valencia, Valencia, Spain.
| | | | - Alaa A A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University, Faculty of Pharmacy, Irbid 566, Jordan.
| | - Giorgio Palu
- Department of Molecular Medicine, University of Padova, Via Gabelli 63, 35121 Padova, Italy.
| | - Tarek Mohamed Abd El-Aziz
- Zoology Department, Faculty of Science, Minia University, El-Minia 61519, Egypt; Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229-3900, USA.
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB, India; Departamento de Geńetica, Ecologia e Evolucao, Instituto de Cíencias Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Bruce D Uhal
- Department of Physiology, Michigan State University, East Lansing, MI 48824, USA
| | - Parise Adadi
- Department of Food Science, University of Otago, Dunedin 9054, New Zealand
| | - Kazuo Takayama
- Center for iPS Cell Research and Application, Kyoto University, Kyoto 6068507, Japan.
| | - Nicolas G Bazan
- Neuroscience Center of Excellence, School of Medicine, LSU Health New Orleans, New Orleans, LA 70112, USA.
| | - Murtaza Tambuwala
- School of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine BT52 1SA, Northern Ireland, UK.
| | - Samendra P Sherchan
- Lincoln Medical School, University of Lincoln, Brayford Pool Campus, Lincoln LN6 7TS, UK.
| | - Amos Lal
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Gaurav Chauhan
- School of Engineering and Sciences, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, 64849 Monterrey, Nuevo León, Mexico.
| | - Wagner Baetas-da-Cruz
- Translational Laboratory in Molecular Physiology, Centre for Experimental Surgery, College of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Vladimir N Uversky
- Department of Molecular Medicineand USF Health Byrd Alzheimer's Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA; Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology, Institutskiy pereulok, 9, Dolgoprudny 141700, Russia.
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26
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Fatouh MM, Kandil NM, EL Garhy NM. Correlation between chest CT scores and clinical impact in patients re-infected with COVID-19 during the two attacks: an observational study. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2022. [PMCID: PMC8900098 DOI: 10.1186/s43055-022-00739-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background Worldwide, millions of people got COVID-19 infection since the start of the pandemic with a large number of deaths. Re-infection with SARS-CoV-2 is possible, because it can mutate into new strains as it is an RNA virus. The main objective of our study is to correlate between CT severity score of the patients re-infected with COVID-19 during the first and second attack and its clinical impact.
Results We performed a retrospective cohort study. It was carried out on fifty symptomatic patients (11 females and 39 males). Their ages ranged from 38 to 71 years. We included only patients who were re-infected after more than 6 months of the first infection and showed clinical symptoms with SARS-CoV-2 PCR-positive test. We found that CT severity score was decreased in the second infection in 47 (94%) of our patients associated with decreased respiratory distress as well as oxygen requirements, while the CT severity score was increased in two patients and only one patient showed no change in CT score severity between two infections. Conclusion The reduction in CT severity score in the majority of re-infected patients suggested the role of the immunity developed from first infection in protection against severe lung affection in case of repeated infection even after 6 months despite poor immunity against re-infection.
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Primary SARS-CoV-2 Infections, Re-infections and Vaccine Effectiveness during the Omicron Transmission Period in Healthcare Workers of Trieste and Gorizia (Northeast Italy), 1 December 2021-31 May 2022. Viruses 2022; 14:v14122688. [PMID: 36560692 PMCID: PMC9784665 DOI: 10.3390/v14122688] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 12/03/2022] Open
Abstract
Objective: To evaluate the incidence of primary and recurrent COVID-19 infections in healthcare workers (HCWs) routinely screened for SARS-CoV-2 by nasopharyngeal swabs during the Omicron wave. Design: Dynamic Cohort study of HCWs (N = 7723) of the University Health Agency Giuliano Isontina (ASUGI), covering health services of the provinces of Trieste and Gorizia (Northeast Italy). Cox proportional hazard model was employed to estimate the risk of primary as well as recurrent SARS-CoV-2 infection from 1 December 2021 through 31 May 2022, adjusting for a number of confounding factors. Results: By 1 December 2021, 46.8% HCWs of ASUGI had received the booster, 37.2% were immunized only with two doses of COVID-19 vaccines, 6.0% only with one dose and 10.0% were unvaccinated. During 1 March 2020-31 May 2022, 3571 primary against 406 SARS-CoV-2 recurrent infections were counted among HCWs of ASUGI, 59.7% (=2130/3571) versus 95.1% (=386/406) of which occurring from 1 December 2021 through 31 May 2022, respectively. All HCWs infected by SARS-CoV-2 during 1 December 2021 through 31 May 2022 presented mild flu-like disease. Compared to staff working in administrative services, the risk of primary as well as recurrent SARS-CoV-2 infection increased in HCWs with patient-facing clinical tasks (especially nurses and other categories of HCWs) and in all clinical wards but COVID-19 units and community health services. Regardless of the number of swab tests performed during the study period, primary infections were less likely in HCWs immunized with one dose of COVID-19 vaccine. By contrast, the risk of SARS-CoV-2 re-infection was significantly lower in HCWs immunized with three doses (aHR = 0.58; 95%CI: 0.41; 0.80). During the study period, vaccine effectiveness (VE = 1-aHR) of the booster dose declined to 42% against re-infections, vanishing against primary SARS-CoV-2 infections. Conclusions: Though generally mild, SARS-CoV-2 infections and re-infections surged during the Omicron transmission period. Compared to unvaccinated colleagues, the risk of primary SARS-CoV-2 infection was significantly lower in HCWs immunized just with one dose of COVID-19 vaccines. By Italian law, HCWs immunized only with one dose were either suspended or re-assigned to job tasks not entailing patient facing contact; hence, while sharing the same biological risk of unvaccinated colleagues, they arguably had a higher level of protection against COVID-19 infection. By contrast, SARS-CoV-2 re-infections were less likely in HCWs vaccinated with three doses, suggesting that hybrid humoral immunity by vaccination combined with natural infection provided a higher level of protection than vaccination only. In this stage of the pandemic, where SARS-CoV-2 is more infectious yet much less pathogenic, health protection measures in healthcare premises at higher biological risk seem the rational approach to control the transmission of the virus.
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28
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Clinical Presentation of COVID-19 and Antibody Responses in Bangladeshi Patients Infected with the Delta or Omicron Variants of SARS-CoV-2. Vaccines (Basel) 2022; 10:vaccines10111959. [PMID: 36423054 PMCID: PMC9694163 DOI: 10.3390/vaccines10111959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/10/2022] [Accepted: 11/16/2022] [Indexed: 11/19/2022] Open
Abstract
The clinical presentation of COVID-19 and the specific antibody responses associated with SARS-CoV-2 variants have not been investigated during the emergence of Omicron variants in Bangladesh. The Delta and Omicron variants were identified by post-PCR melting curve analysis of the spike (S) protein receptor binding domain amplicons. Anti-S-protein immunoglobulin-G anti-nucleocapsid (N)-protein immunoglobulin-G and immunoglobulin-A levels were measured by ELISA. The Delta variant was found in 40 out of 40 (100%) SARS-CoV-2 RT-PCR positive COVID-19 patients between 13 September and 23 October 2021 and Omicron variants in 90 out of 90 (100%) RT-PCR positive COVID-19 patients between 9 January and 10 February 2022. The Delta variant associated with hospitalization (74%, 80%, and 40%) and oxygen support (60%, 57%, and 40%) in the no vaccine, dose-1, and dose-2 vaccinated cases, respectively, whereas the Omicron COVID-19 required neither hospitalization nor oxygen support (0%, p < 0.0001). Fever, cough, and breathlessness were found at a significantly higher frequency among the Delta than Omicron variants (p < 0.001). The viral RNA levels of the Delta variant were higher than that of the Omicron variants (Ct median 19.9 versus 23.85; p < 0.02). Anti-spike protein immunoglobulin-G and anti-N-protein immunoglobulin-G within 1 week post onset of Delta variant COVID-19 symptoms indicate prior SARS-CoV-2 infection. The Delta variant and Omicron BA.1 and BA.2 breakthrough infections in the Dhaka region, at 240 days post onset of COVID-19 symptoms, negatively correlated with the time interval between the second vaccine dose and serum sampling. The findings of lower anti-spike protein immunoglobulin-G reactivity after booster vaccination than after the second vaccine dose suggest that the booster vaccine is not necessarily beneficial in young Bangladeshi adults having a history of repeated SARS-CoV-2 infections.
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Pipoli da Fonseca J, Kornobis E, Turc E, Enouf V, Lemée L, Cokelaer T, Monot M. Capturing SARS-CoV-2 from patient samples with low viral abundance: a comparative analysis. Sci Rep 2022; 12:19274. [PMID: 36369470 PMCID: PMC9652350 DOI: 10.1038/s41598-022-23422-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 10/31/2022] [Indexed: 11/13/2022] Open
Abstract
Since the beginning of the SARS-CoV-2 coronavirus pandemic, genome sequencing is essential to monitor viral mutations over time and by territory. This need for complete genetic information is further reinforced by the rapid spread of variants of concern. In this paper, we assess the ability of the hybridization technique, Capture-Seq, to detect the SARS-CoV-2 genome, either partially or in its integrity on patients samples. We studied 20 patient nasal swab samples broken down into five series of four samples of equivalent viral load from CT25 to CT36+ . For this, we tested 3 multi-virus panel as well as 2 SARS-CoV-2 only panels. The panels were chosen based on their specificity, global or specific, as well as their technological difference in the composition of the probes: ssRNA, ssDNA and dsDNA. The multi-virus panels are able to capture high-abundance targets but fail to capture the lowest-abundance targets, with a high percentage of off-target reads corresponding to the abundance of the host sequences. Both SARS-CoV-2-only panels were very effective, with high percentage of reads corresponding to the target. Overall, capture followed by sequencing is very effective for the study of SARS-CoV-2 in low-abundance patient samples and is suitable for samples with CT values up to 35.
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Affiliation(s)
- Juliana Pipoli da Fonseca
- grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France
| | - Etienne Kornobis
- grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France ,grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015 Paris, France
| | - Elodie Turc
- grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France
| | - Vincent Enouf
- grid.428999.70000 0001 2353 6535National Reference Center for Respiratory Viruses, Molecular Genetics of RNA Viruses, CNRS-UMR 3569, The Institut Pasteur, Paris, France ,grid.428999.70000 0001 2353 6535Mutualized Platform of Microbiology, Pasteur International Bioresources Network, The Institut Pasteur, Paris, France
| | - Laure Lemée
- grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France
| | - Thomas Cokelaer
- grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France ,grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015 Paris, France
| | - Marc Monot
- grid.428999.70000 0001 2353 6535Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France
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Zhu J, Li Y, Liang J, Mubareka S, Slutsky AS, Zhang H. The Potential Protective Role of GS-441524, a Metabolite of the Prodrug Remdesivir, in Vaccine Breakthrough SARS-CoV-2 Infections. INTENSIVE CARE RESEARCH 2022; 2:49-60. [PMID: 36407474 PMCID: PMC9645326 DOI: 10.1007/s44231-022-00021-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
Cases of vaccine breakthrough, especially in variants of concern (VOCs) infections, are emerging in coronavirus disease (COVID-19). Due to mutations of structural proteins (SPs) (e.g., Spike proteins), increased transmissibility and risk of escaping from vaccine-induced immunity have been reported amongst the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Remdesivir was the first to be granted emergency use authorization but showed little impact on survival in patients with severe COVID-19. Remdesivir is a prodrug of the nucleoside analogue GS-441524 which is converted into the active nucleotide triphosphate to disrupt viral genome of the conserved non-structural proteins (NSPs) and thus block viral replication. GS-441524 exerts a number of pharmacological advantages over Remdesivir: (1) it needs fewer conversions for bioactivation to nucleotide triphosphate; (2) it requires only nucleoside kinase, while Remdesivir requires several hepato-renal enzymes, for bioactivation; (3) it is a smaller molecule and has a potency for aerosol and oral administration; (4) it is less toxic allowing higher pulmonary concentrations; (5) it is easier to be synthesized. The current article will focus on the discussion of interactions between GS-441524 and NSPs of VOCs to suggest potential application of GS-441524 in breakthrough SARS-CoV-2 infections. Supplementary Information The online version contains supplementary material available at 10.1007/s44231-022-00021-4.
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Affiliation(s)
- JiaYi Zhu
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON Canada
- Department of Physiology, University of Toronto, Toronto, ON Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada
| | - Yuchong Li
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON Canada
- The State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jady Liang
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON Canada
- Department of Physiology, University of Toronto, Toronto, ON Canada
| | - Samira Mubareka
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada
- Department of Medical Microbiology and Infectious Disease, Sunnybrook Health Science Centre, Toronto, ON Canada
| | - Arthur S. Slutsky
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON Canada
- The State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON Canada
| | - Haibo Zhang
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON Canada
- Department of Physiology, University of Toronto, Toronto, ON Canada
- The State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON Canada
- Department of Anaesthesiology and Pain Medicine, University of Toronto, Toronto, ON Canada
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Piazza MF, Amicizia D, Marchini F, Astengo M, Grammatico F, Battaglini A, Sticchi C, Paganino C, Lavieri R, Andreoli GB, Orsi A, Icardi G, Ansaldi F. Who Is at Higher Risk of SARS-CoV-2 Reinfection? Results from a Northern Region of Italy. Vaccines (Basel) 2022; 10:vaccines10111885. [PMID: 36366393 PMCID: PMC9692964 DOI: 10.3390/vaccines10111885] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/04/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022] Open
Abstract
The SARS-CoV-2 pandemic continues to spread worldwide, generating a high impact on healthcare systems. The aim of the study was to examine the epidemiological burden of SARS-CoV-2 reinfections and to identify potential related risk factors. A retrospective observational study was conducted in Liguria Region, combining data from National Vaccines Registry and Regional Chronic Condition Data Warehouse. In the study period (September 2021 to May 2022), 335,117 cases of SARS-CoV-2 infection were recorded in Liguria, of which 15,715 were reinfected once. During the Omicron phase (which predominated from 3 January 2022), the risk of reinfection was 4.89 times higher (p < 0.001) than during the Delta phase. Unvaccinated and vaccinated individuals with at least one dose for more than 120 days were at increased risk of reinfection compared with vaccinated individuals with at least one dose for ≤120 days, respectively (odds ratio (OR) of 1.26, p < 0.001; OR of 1.18, p < 0.001). Healthcare workers were more than twice as likely to be reinfected than non-healthcare workers (OR of 2.38, p < 0.001). Lower ORs were seen among people aged 60 to 79 years. Two doses or more of vaccination were found to be protective against the risk of reinfection rather than a single dose (mRNA vaccines: OR of 0.06, p < 0.0001, and OR of 0.1, p < 0.0001; vector vaccines: OR of 0.05, p < 0.0001). Patients with chronic renal failure, cardiovascular disease, bronchopneumopathy, neuropathy and autoimmune diseases were at increased risk of reinfection (OR of 1.38, p = 0.0003; OR of 1.09, p < 0.0296; OR of 1.14, p = 0.0056; OR of 1.78, p < 0.0001; OR of 1.18, p = 0.0205). Estimating the epidemiological burden of SARS-CoV-2 reinfections and the role played by risk factors in reinfections is relevant for identifying risk-based preventive strategies in a pandemic context characterized by a high circulation of the virus and a high rate of pathogen mutations.
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Affiliation(s)
- Maria Francesca Piazza
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
- Correspondence: ; Tel.: +39-010-548-4680
| | - Daniela Amicizia
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
| | - Francesca Marchini
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
| | - Matteo Astengo
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
| | - Federico Grammatico
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
| | - Alberto Battaglini
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
| | - Camilla Sticchi
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
| | - Chiara Paganino
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
| | - Rosa Lavieri
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
| | | | - Andrea Orsi
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
- Hygiene Unit, San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, 16132 Genoa, Italy
| | - Giancarlo Icardi
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
- Hygiene Unit, San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, 16132 Genoa, Italy
| | - Filippo Ansaldi
- Regional Health Agency of Liguria (ALiSa), 16121 Genoa, Italy
- Department of Health Sciences (DiSSal), University of Genoa, 16132 Genoa, Italy
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Tavakol S, Tavakol H, Alavijeh MS, Seifalian A. Can we Succeed in the Fight Against SARS-CoV-2 with its Emerging New Variants? Curr Pharm Des 2022; 28:2953-2964. [PMID: 35524677 DOI: 10.2174/1381612828666220506142117] [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: 12/05/2021] [Accepted: 03/15/2022] [Indexed: 12/16/2022]
Abstract
In 2019, the whole world came together to confront a life-threatening virus named SARS-CoV-2, causing COVID-19 illness. The virus infected the human host by attaching to the ACE2 and CD147 receptors in some human cells, resulting in cytokine storm and death. The new variants of the virus that caused concern are Alpha, Beta, Gamma, Delta, and Epsilon, according to the WHO label. However, Pango lineages designated them as B.1.1.7, B.1.351, P.1, B.1.617.2, and B.1.429. Variants may be progressively formed in one chronic COVID-19 patient and transmitted to others. They show some differences in cellular and molecular mechanisms. Mutations in the receptor-binding domain (RBD) and N-terminal domain (NTD) lead to alterations in the host's physiological responses. They show significantly higher transmissibility rates and viral load while evading neutralizing antibodies at different rates. These effects are through mutations, deletion, and conformational alterations in the virus, resulting in the enhanced affinity of RBD to PD of ACE2 protein, virus entry, and spike conformational change. In the clinical laboratory, new variants may diagnose from other variants using specific primers for RBD or NTD. There are some controversial findings regarding the efficacy of the developed vaccines against the new variants. This research aimed to discuss the cellular and molecular mechanisms beyond COVID-19 pathogenesis, focusing on the new variants. We glanced at why the mutations and the ability to transmit the virus increase and how likely the available vaccines will be effective against these variants.
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Affiliation(s)
- Shima Tavakol
- Pharmidex Pharmaceutical Ltd., London, United Kingdom.,Cellular and Molecular Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - Hani Tavakol
- Cellular and Molecular Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - Mo S Alavijeh
- Pharmidex Pharmaceutical Ltd., London, United Kingdom
| | - Alexander Seifalian
- Nanotechnology and Regenerative Medicine Commercialization Centre (NanoRegMed Ltd), London BioScience Innovation Centre, 2 Royal College Street, London, United Kingdom
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33
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Sokhansanj BA, Rosen GL. Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning. Comput Biol Med 2022; 149:105969. [PMID: 36041271 PMCID: PMC9384346 DOI: 10.1016/j.compbiomed.2022.105969] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/11/2022] [Accepted: 08/13/2022] [Indexed: 11/17/2022]
Abstract
Epidemiological studies show that COVID-19 variants-of-concern, like Delta and Omicron, pose different risks for severe disease, but they typically lack sequence-level information for the virus. Studies which do obtain viral genome sequences are generally limited in time, location, and population scope. Retrospective meta-analyses require time-consuming data extraction from heterogeneous formats and are limited to publicly available reports. Fortuitously, a subset of GISAID, the global SARS-CoV-2 sequence repository, includes "patient status" metadata that can indicate whether a sequence record is associated with mild or severe disease. While GISAID lacks data on comorbidities relevant to severity, such as obesity and chronic disease, it does include metadata for age and sex to use as additional attributes in modeling. With these caveats, previous efforts have demonstrated that genotype-patient status models can be fit to GISAID data, particularly when country-of-origin is used as an additional feature. But are these models robust and biologically meaningful? This paper shows that, in fact, temporal and geographic biases in sequences submitted to GISAID, as well as the evolving pandemic response, particularly reduction in severe disease due to vaccination, create complex issues for model development and interpretation. This paper poses a potential solution: efficient mixed effects machine learning using GPBoost, treating country as a random effect group. Training and validation using temporally split GISAID data and emerging Omicron variants demonstrates that GPBoost models are more predictive of the impact of spike protein mutations on patient outcomes than fixed effect XGBoost, LightGBM, random forests, and elastic net logistic regression models.
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Affiliation(s)
- Bahrad A Sokhansanj
- Ecological and Evolutionary Signal Processing & Informatics Laboratory, Drexel University, 3100 Chestnut St., Philadelphia, PA, 19104, United States of America.
| | - Gail L Rosen
- Ecological and Evolutionary Signal Processing & Informatics Laboratory, Drexel University, 3100 Chestnut St., Philadelphia, PA, 19104, United States of America.
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da-Costa-Rodrigues B, Cheohen C, Sciammarella F, Pierre-Bonetti-Pozzobon A, Ribeiro L, Nepomuceno-Silva JL, Medeiros M, Mury F, Monteiro-de-Barros C, Lazoski C, Leal-da-Silva M, Tanuri A, Nunes-da-Fonseca R. SARS-CoV-2 Spatiotemporal Genomic and Molecular Analysis of the First Wave of the COVID-19 Pandemic in Macaé, the Brazilian Capital of Oil. Int J Mol Sci 2022; 23:ijms231911497. [PMID: 36232806 PMCID: PMC9569756 DOI: 10.3390/ijms231911497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 11/25/2022] Open
Abstract
The SARS-CoV-2 virus infection led to millions of deaths during the COVID-19 pandemic. Hundreds of workers from several other Brazilian cities, as well as from other countries, arrive daily in Macaé to work in the oil supply chain, making this city a putative hotspot for the introduction of new viral lineages. In this study, we performed a genomic survey of SARS-CoV-2 samples from Macaé during the first outbreak of COVID-19, combined with clinical data and a molecular integrative analysis. First, phylogenomic analyses showed a high occurrence of viral introduction events and the establishment of local transmissions in Macaé, including the ingression and spread of the B.1.1.28 lineage in the municipality from June to August 2020. Second, SARS-CoV-2 mutations were identified in patients with distinct levels of COVID-19 severity. Third, molecular interactions of the mutated spike protein from three B.1.1.33 local samples and human ACE2 showed higher interactions than that of the wild-type spike protein from the ancestral virus. Altogether, these results elucidate the SARS-CoV-2 genomic profile in a strategic Brazilian city and further explore the functional aspects of SARS-CoV-2 with a characterization of emerging viral mutations associated with clinical data and the potential targets for drug development against SARS-CoV-2.
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Affiliation(s)
- Bruno da-Costa-Rodrigues
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
- Programa de Ciências Morfológicas, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-170, Brazil
- Correspondence: (B.d.-C.-R.); (R.N.-d.-F.)
| | - Caio Cheohen
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Felipe Sciammarella
- Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-902, Brazil
| | - Allan Pierre-Bonetti-Pozzobon
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Lupis Ribeiro
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - José Luciano Nepomuceno-Silva
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Marcio Medeiros
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Flávia Mury
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Cintia Monteiro-de-Barros
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Cristiano Lazoski
- Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-902, Brazil
| | - Manuela Leal-da-Silva
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Amilcar Tanuri
- Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-902, Brazil
| | - Rodrigo Nunes-da-Fonseca
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
- Programa de Ciências Morfológicas, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-170, Brazil
- Correspondence: (B.d.-C.-R.); (R.N.-d.-F.)
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35
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Ghotloo S, Maghsood F, Golsaz‐Shirazi F, Amiri MM, Moog C, Shokri F. Epitope mapping of neutralising anti-SARS-CoV-2 monoclonal antibodies: Implications for immunotherapy and vaccine design. Rev Med Virol 2022; 32:e2347. [PMID: 35394093 PMCID: PMC9111153 DOI: 10.1002/rmv.2347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/08/2022] [Accepted: 03/15/2022] [Indexed: 12/12/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the coronavirus disease 2019 (COVID-19) pandemic. This disease has currently affected more than 346 million people and resulted in more than 5.5 million deaths in many countries. Neutralising monoclonal antibodies (MAbs) against the SARS-CoV-2 virus could serve as prophylactic/therapeutic agents in COVID-19 infection by providing passive protection against the virus in individuals. Until now, no Food and Drug Administration/European Medicines Agency-approved neutralising MAb against SARS-CoV-2 virus exists in the market, though a number of MAbs have been authorised for emergency use. Therefore, there is an urgent need for development of efficient anti-SARS-CoV-2 neutralising MAbs for use in the clinic. Moreover, neutralising anti-SARS-CoV-2 MAbs could be used as beneficial tools for designing epitope-based vaccines against the virus. Given that the target epitope of a MAb is a crucial feature influencing its neutralising potency, target epitopes of neutralising anti-SARS-CoV-2 MAbs already reported in the literature and reactivity of these MAbs with SARS-CoV-2 variants are reviewed herein.
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Affiliation(s)
- Somayeh Ghotloo
- Department of Medical Laboratory SciencesSchool of Allied Medical SciencesKashan University of Medical SciencesKashanIran
| | - Faezeh Maghsood
- Department of ImmunologySchool of Public HealthTehran University of Medical SciencesTehranIran
| | - Forough Golsaz‐Shirazi
- Department of ImmunologySchool of Public HealthTehran University of Medical SciencesTehranIran
| | - Mohammad Mehdi Amiri
- Department of ImmunologySchool of Public HealthTehran University of Medical SciencesTehranIran
| | - Christiane Moog
- Laboratoire d’ImmunoRhumatologie MoléculaireInstitut national de la santé et de la recherche médicale (INSERM) UMR_S 1109Institut thématique interdisciplinaire (ITI) de Médecine de Précision de StrasbourgTransplantex NGFaculté de MédecineFédération Hospitalo‐Universitaire OMICAREFédération de Médecine Translationnelle de Strasbourg (FMTS)Université de StrasbourgStrasbourgFrance
| | - Fazel Shokri
- Department of ImmunologySchool of Public HealthTehran University of Medical SciencesTehranIran
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36
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Daher-Nashif S, Al-Anany R, Ali M, Erradi K, Farag E, Abdallah AM, Emara MM. COVID-19 exit strategy during vaccine implementation: a balance between social distancing and herd immunity. Arch Virol 2022; 167:1773-1783. [PMID: 35723757 PMCID: PMC9208258 DOI: 10.1007/s00705-022-05495-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 04/05/2022] [Indexed: 11/09/2022]
Abstract
Currently, health authorities around the world are struggling to limit the spread of COVID-19. Since the beginning of the pandemic, social distancing has been the most important strategy used by most countries to control disease spread by flattening and elongating the epidemic curve. Another strategy, herd immunity, was also applied by some countries through relaxed control measures that allow the free spread of natural infection to build up solid immunity within the population. In 2021, COVID-19 vaccination was introduced with tremendous effort as a promising strategy for limiting the spread of disease. Therefore, in this review, we present the current knowledge about social distancing, herd immunity strategies, and aspects of their implementation to control the COVID-19 pandemic in the presence of the newly developed vaccines. Finally, we suggest a short-term option for controlling the pandemic during vaccine application.
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Affiliation(s)
- Suhad Daher-Nashif
- Population Medicine Department, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Rania Al-Anany
- Basic Medical Sciences Department, College of Medicine, QU Health, Qatar University, Doha, Qatar
- Public Health Department, Health Protection and Communicable Diseases, Ministry of Public Health, Doha, Qatar
| | - Menatalla Ali
- Basic Medical Sciences Department, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Khadija Erradi
- Basic Medical Sciences Department, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Elmoubasher Farag
- Public Health Department, Health Protection and Communicable Diseases, Ministry of Public Health, Doha, Qatar
| | - Abdallah M Abdallah
- Basic Medical Sciences Department, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Mohamed M Emara
- Basic Medical Sciences Department, College of Medicine, QU Health, Qatar University, Doha, Qatar.
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Shi FS, Yu Y, Li YL, Cui L, Zhao Z, Wang M, Wang B, Zhang R, Huang YW. Expression Profile and Localization of SARS-CoV-2 Nonstructural Replicase Proteins in Infected Cells. Microbiol Spectr 2022; 10:e0074422. [PMID: 35730969 PMCID: PMC9431475 DOI: 10.1128/spectrum.00744-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/26/2022] [Indexed: 11/20/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus (SARS-CoV)-2 is responsible for the COVID-19 pandemic that has caused unprecedented loss of life and economic trouble all over the world, though the mechanism of its replication remains poorly understood. In this study, antibodies were generated and used to systematically determine the expression profile and subcellular distribution of 11 SARS-CoV-2 nonstructural replicase proteins (nsp1, nsp2, nsp3, nsp5, nsp7, nsp8, nsp9, nsp10, nsp13, nsp14, and nsp15) by Western blot and immunofluorescence assay. Nsp3, nsp5, and nsp8 were detected in perinuclear foci at different time points, with diffusion and stronger fluorescence observed over time. In particular, colocalization of nsp8 and nsp13 with different replicase proteins suggested viral protein-protein interaction, which may be key to understanding their functions and potential molecular mechanisms. Viral intermediate dsRNA was detected in perinuclear foci as early as 2-h postinfection, indicating the initiation of virus replication. With the passage of time, these perinuclear dsRNA foci became larger and brighter, and nearly all colocalized with N protein, consistent with viral growth over time. Thus, the development of these anti-nsp antibodies provides basic tools for the further study of replication and diagnosis of SARS-CoV-2. IMPORTANCE The intracellular localization of SARS-CoV-2 replicase nonstructural proteins (nsp) during infection has not been fully elucidated. In this study, we systematically analyzed the expression and subcellular localization of 11 distinct viral nsp and dsRNA over time in SARS-CoV-2-infected cells by using individual antibody against these replicase proteins. The data indicated that nsp gene expression is highly regulated in space and time, which could be useful to understand the function of viral replicases and future development of diagnostics and potential antiviral strategies against SARS-CoV-2.
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Affiliation(s)
- Fang-Shu Shi
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Yin Yu
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, China
| | - Ya-Li Li
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Lilan Cui
- Novoprotein Scientific Inc., Shanghai, China
| | - Zhuangzhuang Zhao
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Mi Wang
- Novoprotein Scientific Inc., Shanghai, China
| | - Bin Wang
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Rong Zhang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, China
| | - Yao-Wei Huang
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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Hoque MN, Sarkar MMH, Khan MA, Hossain MA, Hasan MI, Rahman MH, Habib MA, Akter S, Banu TA, Goswami B, Jahan I, Nafisa T, Molla MMA, Soliman ME, Araf Y, Khan MS, Zheng C, Islam T. Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches. Front Immunol 2022; 13:918692. [PMID: 36059456 PMCID: PMC9429819 DOI: 10.3389/fimmu.2022.918692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/27/2022] [Indexed: 12/02/2022] Open
Abstract
The COVID-19 pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has created an urgent global situation. Therefore, it is necessary to identify the differentially expressed genes (DEGs) in COVID-19 patients to understand disease pathogenesis and the genetic factor(s) responsible for inter-individual variability and disease comorbidities. The pandemic continues to spread worldwide, despite intense efforts to develop multiple vaccines and therapeutic options against COVID-19. However, the precise role of SARS-CoV-2 in the pathophysiology of the nasopharyngeal tract (NT) is still unfathomable. This study utilized machine learning approaches to analyze 22 RNA-seq data from COVID-19 patients (n = 8), recovered individuals (n = 7), and healthy individuals (n = 7) to find disease-related differentially expressed genes (DEGs). We compared dysregulated DEGs to detect critical pathways and gene ontology (GO) connected to COVID-19 comorbidities. We found 1960 and 153 DEG signatures in COVID-19 patients and recovered individuals compared to healthy controls. In COVID-19 patients, the DEG–miRNA, and DEG–transcription factors (TFs) interactions network analysis revealed that E2F1, MAX, EGR1, YY1, and SRF were the highly expressed TFs, whereas hsa-miR-19b, hsa-miR-495, hsa-miR-340, hsa-miR-101, and hsa-miR-19a were the overexpressed miRNAs. Three chemical agents (Valproic Acid, Alfatoxin B1, and Cyclosporine) were abundant in COVID-19 patients and recovered individuals. Mental retardation, mental deficit, intellectual disability, muscle hypotonia, micrognathism, and cleft palate were the significant diseases associated with COVID-19 by sharing DEGs. Finally, the detected DEGs mediated by TFs and miRNA expression indicated that SARS-CoV-2 infection might contribute to various comorbidities. Our results provide the common DEGs between COVID-19 patients and recovered humans, which suggests some crucial insights into the complex interplay between COVID-19 progression and the recovery stage, and offer some suggestions on therapeutic target identification in COVID-19 caused by the SARS-CoV-2.
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Affiliation(s)
- M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
| | | | - Md. Arif Khan
- Department of Biotechnology and Genetic Engineering, University of Development Alternative, Dhaka, Bangladesh
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
| | - Md. Arju Hossain
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
| | - Md. Imran Hasan
- Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
| | - Md. Habibur Rahman
- Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
| | - Md. Ahashan Habib
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Shahina Akter
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Tanjina Akhtar Banu
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Barna Goswami
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Iffat Jahan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Tasnim Nafisa
- National Institute of Laboratory Medicine and Referral Center, Dhaka, Bangladesh
| | | | - Mahmoud E. Soliman
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Yusha Araf
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
- Department of Immunology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
| | - M. Salim Khan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
- *Correspondence: Tofazzal Islam, ; Chunfu Zheng, ; Md. Salim Khan,
| | - Chunfu Zheng
- Department of Immunology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada
- *Correspondence: Tofazzal Islam, ; Chunfu Zheng, ; Md. Salim Khan,
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
- *Correspondence: Tofazzal Islam, ; Chunfu Zheng, ; Md. Salim Khan,
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Askari FS, Ebrahimi M, Parhiz J, Hassanpour M, Mohebbi A, Mirshafiey A. Digging for the discovery of SARS-CoV-2 nsp12 inhibitors: a pharmacophore-based and molecular dynamics simulation study. Future Virol 2022. [PMID: 35983350 PMCID: PMC9370102 DOI: 10.2217/fvl-2022-0054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 07/22/2022] [Indexed: 12/02/2022]
Abstract
Aim: COVID-19 is a global health threat. Therapeutics are urgently needed to cure patients severely infected with COVID-19. Objective: to investigate potential candidates of nsp12 inhibitors by searching for druggable cavity pockets within the viral protein and drug discovery. Methods: A virtual screening of ZINC natural products on SARS-CoV-2 nsp12's druggable cavity was performed. A lead compound with the highest affinity to nsp12 was simulated dynamically for 10 ns. Results: ZINC03977803 was nominated as the lead compound. The results showed stable interaction between ZINC03977803 and nsp12 during 10 ns. Discussion: ZINC03977803 showed stable interaction with the catalytic subunit of SARS-CoV-2, nsp12. It could inhibit the SARS-CoV-2 life cycle by direct interaction with nsp12 and inhibit RdRp complex formation.
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Affiliation(s)
| | - Mohsen Ebrahimi
- Neonatal & Children's Health Research Center, Golestan University of Medical Sciences, Gorgan, 4918936316, Iran
| | - Jabbar Parhiz
- Neonatal & Children's Health Research Center, Golestan University of Medical Sciences, Gorgan, 4918936316, Iran
| | - Mina Hassanpour
- Vista Aria Rena Gene Inc., Gorgan, 4918653885, Golestan Province, Iran
| | - Alireza Mohebbi
- Vista Aria Rena Gene Inc., Gorgan, 4918653885, Golestan Province, Iran
| | - Abbas Mirshafiey
- Department of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
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Koyama T, Tokumasu R, Katayama K, Saito A, Kudo M, Imoto S. Cross-Border Transmissions of the Delta Substrain AY.29 During Tokyo Olympic and Paralympic Games. Front Microbiol 2022; 13:883849. [PMID: 35992703 PMCID: PMC9382352 DOI: 10.3389/fmicb.2022.883849] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022] Open
Abstract
Tokyo Olympic and Paralympic Games, postponed for the COVID-19 pandemic, were finally held in the summer of 2021. Just before the games, the Alpha variant was being replaced with the more contagious Delta variant. AY.4 substrain AY.29, which harbors two additional characteristic mutations of 5239C > T (NSP3 Y840Y) and 5514T > C (NSP3 V932A), emerged in Japan and became dominant in Tokyo by the time of the Olympic Games. Variants of SARS-CoV-2 genomes were performed to extract AY.29 Delta substrain samples with 5239C > T and 5514T > C. Phylogenetic analysis was performed to illustrate how AY.29 strains evolved and were introduced into countries abroad. Simultaneously, ancestral searches were performed for the overseas AY.29 samples to identify their origins in Japan using the maximum variant approach. As of January 10, 2022, 118 samples were identified in 20 countries. Phylogenetic analysis and ancestral searches identified 55 distinct introductions into those countries. The United States had 50 samples with 10 distinct introductions, and the United Kingdom had 13 distinct strains introduced in 18 samples. Other countries or regions with multiple introductions were Canada, Germany, South Korea, Hong Kong, Thailand, and the Philippines. Among the 20 countries, most European and North American countries have vaccination rates over 50% and sufficient genomic surveillances are conducted; transmissions seem contained. However, propagation to unvaccinated regions might have caused unfathomable damages. Since samples in those unvaccinated countries are also undersampled with a longer lead time for data sharing, it will take longer to grasp the whole picture. More rigorous departure screenings for the participants from the unvaccinated countries might have been necessary.
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Affiliation(s)
- Takahiko Koyama
- IBM Thomas J. Watson Research Center, Yorktown Heights, NY, United States
- *Correspondence: Takahiko Koyama,
| | | | - Kotoe Katayama
- Laboratory of Sequence Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Ayumu Saito
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Seiya Imoto
- Laboratory of Sequence Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
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Popovic M, Popovic M. Strain Wars: Competitive interactions between SARS-CoV-2 strains are explained by Gibbs energy of antigen-receptor binding. MICROBIAL RISK ANALYSIS 2022; 21:100202. [PMID: 35155724 PMCID: PMC8816792 DOI: 10.1016/j.mran.2022.100202] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/03/2022] [Accepted: 02/03/2022] [Indexed: 05/16/2023]
Abstract
Since the beginning of the COVID-19 pandemic, SARS-CoV-2 has mutated several times into new strains, with an increased infectivity. Infectivity of SARS-CoV-2 strains depends on binding affinity of the virus to its host cell receptor. In this paper, we quantified the binding affinity using Gibbs energy of binding and analyzed the competition between SARS-CoV-2 strains as an interference phenomenon. Gibbs energies of binding were calculated for several SARS-SoV-2 strains, including Hu-1 (wild type), B.1.1.7 (alpha), B.1.351 (beta), P.1 (Gamma), B.1.36 and B.1.617 (Delta). The least negative Gibbs energy of binding is that of Hu-1 strain, -37.97 kJ/mol. On the other hand, the most negative Gibbs energy of binding is that of the Delta strain, -49.50 kJ/mol. We used the more negative Gibbs energy of binding to explain the increased infectivity of newer SARS-CoV-2 strains compared to the wild type. Gibbs energies of binding was found to decrease chronologically, with appearance of new strains. The ratio of Gibbs energies of binding of mutated strains and wild type was used to define a susceptibility coefficient, which is an indicator of viral interference, where a virus can prevent or partially inhibit infection with another virus.
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Affiliation(s)
- Marko Popovic
- TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany
| | - Marta Popovic
- Faculty of Biology, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia
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Tsuchiya K, Yamamoto N, Hosaka Y, Wakita M, Hiki M, Matsushita Y, Mori H, Hori S, Misawa S, Miida T, Nojiri S, Takahashi K, Naito T, Tabe Y. Molecular characterization of SARS-CoV-2 detected in Tokyo, Japan during five waves: Identification of the amino acid substitutions associated with transmissibility and severity. Front Microbiol 2022; 13:912061. [PMID: 35966679 PMCID: PMC9363898 DOI: 10.3389/fmicb.2022.912061] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 06/29/2022] [Indexed: 11/15/2022] Open
Abstract
Many variants of SARS-CoV-2 have emerged around the world. It is therefore important to understand its global viral evolution and the corresponding mutations associated with transmissibility and severity. In this study, we analyzed 112 whole genome sequences of SARS-CoV-2 collected from patients at Juntendo University Hospital in Tokyo and the genome data from entire Japan deposited in Global Initiative on Sharing Avian Influenza Data (GISAID) to examine the relationship of amino acid changes with the transmissibility and the severity of each strain/lineage. We identified 12 lineages, including B.1.1.284, B.1.1.214, R.1, AY.29, and AY.29.1, which were prevalent specifically in Japan. B.1.1.284 was most frequently detected in the second wave, but B.1.1.214 became the predominant lineage in the third wave, indicating that B.1.1.214 has a higher transmissibility than B.1.1.284. The most prevalent lineage during the fourth and fifth wave was B.1.1.7 and AY.29, respectively. In regard to the severity of identified lineages, B.1.1.214 was significantly lower than the reference lineage, B.1.1.284. Analysis of the genome sequence and other traits of each lineage/strain revealed the mutations in S, N, and NSPs that increase the transmissibility and/or severity. These mutations include S: M153T, N: P151L, NSP3: S543P, NSP5: P108S, and NSP12: A423V in B.1.1.284; S: W152L and E484K in R.1; S: H69del, V70del, and N501Y in the Alpha strain; S: L452R, T478K, and P681R in the Delta strain. Furthermore, it is suggested that the transmissibility of B.1.1.214 could be enhanced by the mutations N: M234I, NSP14: P43L, and NSP16: R287I. To address the issue of the virus evolution, it is necessary to continuously monitor the genomes of SARS-CoV-2 and analyze the effects of mutations for developing vaccines and antiviral drugs effective against SARS-CoV-2 variants.
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Affiliation(s)
- Koji Tsuchiya
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Norio Yamamoto
- Department of General Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Microbiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Microbiology, Tokai University School of Medicine, Isehara, Japan
- *Correspondence: Norio Yamamoto, ;
| | - Yoshie Hosaka
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Mitsuru Wakita
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Makoto Hiki
- Department of Emergency Medicine, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Yasushi Matsushita
- Department of Internal Medicine and Rheumatology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Hirotake Mori
- Department of General Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Satoshi Hori
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Infection Control Science, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Shigeki Misawa
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
| | - Shuko Nojiri
- Medical Technology Innovation Center, Juntendo University, Bunkyo-ku, Japan
| | - Kazuhisa Takahashi
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Toshio Naito
- Department of General Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Yoko Tabe
- Department of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
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Vassilaki N, Papadimitriou K, Ioannidis A, Papandreou NC, Milona RS, Iconomidou VA, Chatzipanagiotou S. SARS-CoV-2 Amino Acid Mutations Detection in Greek Patients Infected in the First Wave of the Pandemic. Microorganisms 2022; 10:microorganisms10071430. [PMID: 35889149 PMCID: PMC9322066 DOI: 10.3390/microorganisms10071430] [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: 05/26/2022] [Revised: 07/01/2022] [Accepted: 07/11/2022] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel virus that belongs to the Coronoviridae family, emerged in December 2019, causing the COVID-19 pandemic in March 2020. Unlike previous SARS and Middle East respiratory syndrome (MERS) outbreaks, this virus has a higher transmissibility rate, albeit a lower case fatality rate, which results in accumulation of a significant number of mutations and a faster evolution rate. Genomic studies on the mutation rate of the virus, as well as the identification of mutations that prevail and their impact on disease severity, are of great importance for pandemic surveillance and vaccine and drug development. Here, we aim to identify mutations on the SARS-CoV-2 viral genome and their effect on the proteins they are located in, in Greek patients infected in the first wave of the pandemic. To this end, we perform SARS-CoV-2 amplicon-based NGS sequencing on nasopharyngeal swab samples from Greek patients and bioinformatic analysis of the results. Although SARS-CoV-2 is considered genetically stable, we discover a variety of mutations on the viral genome. In detail, 18 mutations are detected in total on 10 SARS-CoV-2 isolates. The mutations are located on ORF1ab, S protein, M protein, ORF3a and ORF7a. Sixteen are also detected in patients from other regions around the world, and two are identified for the first time in the present study. Most of them result in amino acid substitutions. These substitutions are analyzed using computational tools, and the results indicate minor or major impact on the proteins’ structural stability, which could probably affect viral transmissibility and pathogenesis. The correlation of these variations with the viral load levels is examined, and their implication for disease severity and the biology of the virus are discussed.
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Affiliation(s)
- Niki Vassilaki
- Laboratory of Molecular Virology, Hellenic Pasteur Institute, 127 Vasilissis Sofias Avenue, 11521 Athens, Greece; (N.V.); (R.S.M.)
| | - Konstantinos Papadimitriou
- Laboratory of Food Quality Control and Hygiene, Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece;
| | - Anastasios Ioannidis
- Department of Nursing, Faculty of Health Sciences, University of Peloponnese, Sehi Area, 22100 Tripoli, Greece;
| | - Nikos C. Papandreou
- Section of Cell Biology and Biophysics, Department of Biology, School of Science, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece; (N.C.P.); (V.A.I.)
| | - Raphaela S. Milona
- Laboratory of Molecular Virology, Hellenic Pasteur Institute, 127 Vasilissis Sofias Avenue, 11521 Athens, Greece; (N.V.); (R.S.M.)
| | - Vassiliki A. Iconomidou
- Section of Cell Biology and Biophysics, Department of Biology, School of Science, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece; (N.C.P.); (V.A.I.)
| | - Stylianos Chatzipanagiotou
- Department of Medical Biopathology, Eginition Hospital, Athens Medical School, National and Kapodistrian University of Athens, 72–74 Vasilissis Sofias Avenue, 11528 Athens, Greece
- Correspondence:
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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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Hyperimmunized Chickens Produce Neutralizing Antibodies against SARS-CoV-2. Viruses 2022; 14:v14071510. [PMID: 35891490 PMCID: PMC9318545 DOI: 10.3390/v14071510] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/24/2022] [Accepted: 07/07/2022] [Indexed: 12/12/2022] Open
Abstract
The novel severe acute respiratory syndrome (SARS) coronavirus, SARS-CoV-2, is responsible for the global COVID-19 pandemic. Effective interventions are urgently needed to mitigate the effects of COVID-19 and likely require multiple strategies. Egg-extracted antibody therapies are a low-cost and scalable strategy to protect at-risk individuals from SARS-CoV-2 infection. Commercial laying hens were hyperimmunized against the SARS-CoV-2 S1 protein using three different S1 recombinant proteins and three different doses. Sera and egg yolk were collected at three and six weeks after the second immunization for enzyme-linked immunosorbent assay and plaque-reduction neutralization assay to determine antigen-specific antibody titers and neutralizing antibody titers, respectively. In this study we demonstrate that hens hyperimmunized against the SARS-CoV-2 recombinant S1 and receptor binding domain (RBD) proteins produced neutralizing antibodies against SARS-CoV-2. We further demonstrate that antibody production was dependent on the dose and type of antigen administered. Our data suggests that antibodies purified from the egg yolk of hyperimmunized hens can be used as immunoprophylaxis in humans at risk of exposure to SARS-CoV-2.
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Hajizadeh F, Khanizadeh S, Khodadadi H, Mokhayeri Y, Ajorloo M, Malekshahi A, Heydari E. SARS-COV-2 RBD (Receptor binding domain) mutations and variants (A sectional-analytical study). Microb Pathog 2022; 168:105595. [PMID: 35597364 PMCID: PMC9116045 DOI: 10.1016/j.micpath.2022.105595] [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: 02/17/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 01/17/2023]
Abstract
An essential step in SARS-CoV-2 infection is binding the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein to the ACE2 receptor on the surface of host cells. Therefore, variation in this region can have crucial effects on clinical outcomes and the emergence of variants of concern (VOCs) and variants of interest (VOIs). In this cross-sectional descriptive study, 54 patients with SARS-COV-2 infection were enrolled. After collecting samples and identifying the virus using the One-Step Real-Time qRT-PCR technique and confirming the viral infection, the region containing the RBD region for detection of any mutations was amplified using the Nested-PCR method. Finally, to identify probable mutations, the Nested-PCR product was sequenced. Our data show that the most mutant strains in circulation in our population are the delta variant (90.74%), alpha variant (5.56%), and omicron variant (3.70%), respectively. Pangolin Lineages strains were B.1.1.7(Alpha variant), B.1.617.2(Delta variant) and B.1.1.529(Omicron variant). Also, the mutation profile of variants suggests that N501Y, T478K, and D614G amino acid substitutions, are the significant mutations in the alpha and delta variants that are common with the Omicron variant. The highest frequency of clinical signs in the patients were: lung involvement (42.59%); fever, chills (40.74%); body pain (15%), and other signs (1.67%). Our data revealed that SARS-COV-2 RBD region variation results in substituting essential amino acids and the emergence of the new variant. We can consider it as a predictor for monitoring the emergence of variants of concerns and viral outcomes.
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Affiliation(s)
- Faezeh Hajizadeh
- Department of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Sayyad Khanizadeh
- Department of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran; Hepatitis Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Hamidreza Khodadadi
- Hepatitis Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Yaser Mokhayeri
- Cardiovascular Research Center, Shahid Rahimi Hospital, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Mehdi Ajorloo
- Hepatitis Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran; Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Asra Malekshahi
- Department of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Ezatoallah Heydari
- Department of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
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Khan A, Khan SA, Zia K, Altowyan MS, Barakat A, Ul-Haq Z. Deciphering the Impact of Mutations on the Binding Efficacy of SARS-CoV-2 Omicron and Delta Variants With Human ACE2 Receptor. Front Chem 2022; 10:892093. [PMID: 35755247 PMCID: PMC9213841 DOI: 10.3389/fchem.2022.892093] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/28/2022] [Indexed: 12/26/2022] Open
Abstract
The pandemic of COVID-19, caused by SARS-CoV-2, has globally affected the human health and economy. Since the emergence of the novel coronavirus SARS-CoV-2, the life-threatening virus continues to mutate and evolve. Irrespective of acquired natural immunity and vaccine-induced immunity, the emerging multiple variants are growing exponentially, crossing the territorial barriers of the modern world. The rapid emergence of SARS-CoV-2 multiple variants challenges global researchers regarding the efficacy of available vaccines and variant transmissibility. SARS-CoV-2 surface-anchored S-protein recognizes and interacts with the host-cell ACE2, facilitating viral adherence and entrance into the cell. Understanding the interfacial interactions between the spike protein of SARS-CoV-2 variants and human ACE2 receptor is important for the design and development of antiviral therapeutics against SARS-CoV-2 emerging variants. Despite extensive research, the crucial determinants related to the molecular interactions between the spike protein of SARS-CoV-2 variants and host receptors are poorly understood. Thus, in this study, we explore the comparative interfacial binding pattern of SARS-CoV-2 spike RBD of wild type, Delta, and Omicron with the human ACE2 receptor to determine the crucial determinants at the atomistic level, using MD simulation and MM/GBSA energy calculations. Based on our findings, the substitution of Q493R, G496S, Q498R, and Y505H induced internal conformational changes in Omicron spike RBD, which leads to higher binding affinity than Delta spike RBD with the human ACE2 receptor, eventually contributing to higher transmission and infectivity. Taken together, these results could be used for the structure-based design of effective antiviral therapeutics against SARS-CoV-2 variants.
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Affiliation(s)
- Alamgir Khan
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Salman Ali Khan
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Komal Zia
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Mezna Saleh Altowyan
- Department of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Assem Barakat
- Department of Chemistry, College of Science, King Saud University, Riyadh, Saudi Arabia.,Department of Chemistry, Faculty of Science, Alexandria University, Alexandria, Egypt
| | - Zaheer Ul-Haq
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan.,Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
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48
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K A, Sharma A, Kumar D, Singh SK, Gupta G, Chellappan DK, Dua K, Nagraik R. Molecular aspects of Omicron, vaccine development, and recombinant strain XE: A review. J Med Virol 2022; 94:4628-4643. [PMID: 35705439 PMCID: PMC9349635 DOI: 10.1002/jmv.27936] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 06/02/2022] [Accepted: 06/14/2022] [Indexed: 12/19/2022]
Abstract
The global pandemic of COVID‐19 began in December 2019 and is still continuing. The past 2 years have seen the emergence of several variants that were more vicious than each other. The emergence of Omicron (B.1.1.529) proved to be a huge epidemiological concern as the rate of infection of this particular strain was enormous. The strain was identified in South Africa on November 24, 2021 and was classified as a “Variant of Concern” on November 26, 2021. The Omicron variant possessed mutations in the key RBD region, the S region, thereby increasing the affinity of ACE2 for better transmission of the virus. Antibody resistance was found in this variant and it was able to reduce vaccine efficiency of vaccines. The need for a booster vaccine was brought forth due to the prevalence of the Omicron variant and, subsequently, this led to targeted research and development of variant‐specific vaccines and booster dosage. This review discusses broadly the genomic characters and features of Omicron along with its specific mutations, evolution, antibody resistance, and evasion, utilization of CRISPR‐Cas12a assay for Omicron detection, T‐cell immunity elicited by vaccines against Omicron, and strategies to decrease Omicron infection along with COVID‐19 and it also discusses on XE recombinant variant and on infectivity of BA.2 subvariant of Omicron.
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Affiliation(s)
- Akash K
- School of Bioengineering and Food Technology, Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
| | - Avinash Sharma
- School of Bioengineering and Food Technology, Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
| | - Deepak Kumar
- Department of Pharmaceutical Chemistry, School of Pharmaceutical SciencesShoolini UniversitySolanHimachal PradeshIndia
| | - Sachin K. Singh
- School of Pharmaceutical SciencesLovely Professional UniversityPhagwara, PunjabIndia
| | - Gaurav Gupta
- School of PharmacySuresh Gyan Vihar UniversityJagatpura, JaipurIndia
- Uttaranchal Institute of Pharmaceutical SciencesUttaranchal UniversityDehradunIndia
- Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical SciencesSaveetha UniversityChennaiIndia
| | | | - Kamal Dua
- Faculty of Health, Australian Research Centre in Complementary and Integrative MedicineUniversity of Technology SydneyUltimoNSWAustralia
- Discipline of Pharmacy Graduate School of HealthUniversity of Technology SydneyUltimoNSWAustralia
| | - Rupak Nagraik
- School of Bioengineering and Food Technology, Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
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Roshni J, Vaishali R, Ganesh KS, Dharani N, Alzahrani KJ, Banjer HJ, Alghamdi AH, Theyab A, Ahmed SS, Patil S. Multi-target potential of Indian phytochemicals against SARS-CoV-2: A docking, molecular dynamics and MM-GBSA approach extended to Omicron B.1.1.529. J Infect Public Health 2022; 15:662-669. [PMID: 35617830 PMCID: PMC9101941 DOI: 10.1016/j.jiph.2022.05.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/24/2022] [Accepted: 05/04/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND SARS-CoV-2, an emerged strain of corona virus family became almost serious health concern worldwide. Despite vaccines availability, reports suggest the occurrence of SARS-CoV-2 infection even in a vaccinated population. With frequent evolution and expected multiple COVID-19 waves, improved preventive, diagnostic, and treatment measures are required. In recent times, phytochemicals have gained attention due to their therapeutic characteristics and are suggested as alternative and complementary treatments for infectious diseases. This present study aimed to identify potential inhibitors against reported protein targets of SARS-CoV-2. METHODOLOGY We computationally investigated potential SARS-CoV-2 protein targets from the literature and collected druggable phytochemicals from Indian Medicinal Plants, Phytochemistry and Therapeutics (IMPPAT) database. Further, we implemented a systematic workflow of molecular docking, dynamic simulations and generalized born surface area free-energy calculations (MM-GBSA). RESULTS Extensive literature search and assessment of 1508 articles identifies 13 potential SARS-CoV-2 protein targets. We screened 501 druggable phytochemicals with proven biological activities. Analysis of 6513(501 *13) docked phytochemicals complex, 26 were efficient against SARS-CoV-2. Amongst, 4,8-dihydroxysesamin and arboreal from Gmelina arborea were ranked potential against most of the targets with binding energy ranging between - 10.7 to - 8.2 kcal/mol. Additionally, comparative docking with known drugs such as arbidol (-6.6 to -5.1 kcal/mol), favipiravir (-5.5 to -4.5 kcal/mol), hydroxychloroquine (-6.5 to -5.1 kcal/mol), and remedesivir (-8.0 to -5.3 kcal/mol) revealed equal/less affinity than 4,8-dihydroxysesamin and arboreal. Interestingly, the nucleocapsid target was found commonly inhibited by 4,8-dihydroxysesamin and arboreal. Molecular dynamic simulation and Molecular mechanics generalized born surface area (MM-GBSA)calculations reflect that both the compounds possess high inhibiting potential against SARS-CoV-2 including the recently emerged Omicron variant (B.1.1.529). CONCLUSION Overall our study imparts the usage of phytochemicals as antiviral agents for SARS-CoV-2 infection. Additional in vitro and in vivo testing of these phytochemicals is required to confirm their potency.
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Affiliation(s)
- Jency Roshni
- Department of Medical Biotechnology, Chettinad Hospital & Research Institute (CHRI), Chettinad Academy of Research and Education (CARE), Kelambakkam 603103, India.
| | - R Vaishali
- Department of Medical Biotechnology, Chettinad Hospital & Research Institute (CHRI), Chettinad Academy of Research and Education (CARE), Kelambakkam 603103, India.
| | - K S Ganesh
- Department of Medical Biotechnology, Chettinad Hospital & Research Institute (CHRI), Chettinad Academy of Research and Education (CARE), Kelambakkam 603103, India.
| | - N Dharani
- Department of Medical Biotechnology, Chettinad Hospital & Research Institute (CHRI), Chettinad Academy of Research and Education (CARE), Kelambakkam 603103, India.
| | - Khalid J Alzahrani
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
| | - Hamsa Jameel Banjer
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
| | - Ali H Alghamdi
- Department of Biology, Faculty of Science, Albaha University, Albaha 7738-65799, Saudi Arabia.
| | - Abdulrahman Theyab
- College of Medicine, Al-Faisal University, P.O. Box 50927, Riyadh, 11533, Saudi Arabia; Department of Laboratory Medicine, Security Forces Hospital, Mecca, Saudi Arabia.
| | - Shiek Ssj Ahmed
- Multi-omics and Drug Discovery Lab, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Kelambakkam 603103, India.
| | - Shankargouda Patil
- Department of Maxillofacial Surgery and Diagnostic Sciences, Division of Oral Pathology, College of Dentistry, Jazan University, Jazan 45412, Saudi Arabia.
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50
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Goud VR, Chakraborty R, Chakraborty A, Lavudi K, Patnaik S, Sharma S, Patnaik S. A bioinformatic approach of targeting SARS-CoV-2 replication by silencing a conserved alternative reserve of the orf8 gene using host miRNAs. Comput Biol Med 2022; 145:105436. [PMID: 35366472 PMCID: PMC8942883 DOI: 10.1016/j.compbiomed.2022.105436] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 03/11/2022] [Accepted: 03/20/2022] [Indexed: 12/16/2022]
Abstract
The causative agent of the COVID-19 pandemic, the SARS-CoV-2 virus has yielded multiple relevant mutations, many of which have branched into major variants. The Omicron variant has a huge similarity with the original viral strain (first COVID-19 strain from Wuhan). Among different genes, the highly variable orf8 gene is responsible for crucial host interactions and has undergone multiple mutations and indels. The sequence of the orf8 gene of the Omicron variant is, however, identical with the gene sequence of the wild type. orf8 modulates the host immunity making it easier for the virus to conceal itself and remain undetected. Variants seem to be deleting this gene without affecting the viral replication. While analyzing, we came across the conserved orf7a gene in the viral genome which exhibits a partial sequence homology as well as functional similarity with the SARS-CoV-2 orf8. Hence, we have proposed here in our hypothesis that, orf7a might be an alternative reserve of orf8 present in the virus which was compensating for the lost gene. A computational approach was adopted where we screened various miRNAs targeted against the orf8 gene. These miRNAs were then docked onto the orf8 mRNA sequences. The same set of miRNAs was then used to check for their binding affinity with the orf7a reference mRNA. Results showed that miRNAs targeting the orf8 had favorable shape complementarity and successfully docked with the orf7a gene as well. These findings provide a basis for developing new therapeutic approaches where both orf8 and orf7a can be targeted simultaneously.
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Affiliation(s)
| | | | | | - Kousalya Lavudi
- School of Biotechnology, KIIT University, Bhubaneswar, India
| | - Sriram Patnaik
- School of Biotechnology, KIIT University, Bhubaneswar, India
| | - Swati Sharma
- School of Biotechnology, KIIT University, Bhubaneswar, India,Dept. of Skill Buildings Shri Ramasamy Memorial University, Sikkim, Gangtok, 737102, India
| | - Srinivas Patnaik
- School of Biotechnology, KIIT University, Bhubaneswar, India,Corresponding author. School of Biotechnology, KIIT University, Bhubaneswar, 751024, India
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