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Feola S, Chiaro J, Fusciello M, Russo S, Kleino I, Ylösmäki L, Kekäläinen E, Hästbacka J, Pekkarinen PT, Ylösmäki E, Capone S, Folgori A, Raggioli A, Boni C, Tiezzi C, Vecchi A, Gelzo M, Kared H, Nardin A, Fehlings M, Barban V, Ahokas P, Viitala T, Castaldo G, Pastore L, Porter P, Pesonen S, Cerullo V. PeptiVAX: A new adaptable peptides-delivery platform for development of CTL-based, SARS-CoV-2 vaccines. Int J Biol Macromol 2024; 262:129926. [PMID: 38331062 DOI: 10.1016/j.ijbiomac.2024.129926] [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: 08/01/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) posed a threat to public health and the global economy, necessitating the development of various vaccination strategies. Mutations in the SPIKE protein gene, a crucial component of mRNA and adenovirus-based vaccines, raised concerns about vaccine efficacy, prompting the need for rapid vaccine updates. To address this, we leveraged PeptiCRAd, an oncolytic vaccine based on tumor antigen decorated oncolytic adenoviruses, creating a vaccine platform called PeptiVAX. First, we identified multiple CD8 T-cell epitopes from highly conserved regions across coronaviruses, expanding the range of T-cell responses to non-SPIKE proteins. We designed short segments containing the predicted epitopes presented by common HLA-Is in the global population. Testing the immunogenicity, we characterized T-cell responses to candidate peptides in peripheral blood mononuclear cells (PBMCs) from pre-pandemic healthy donors and ICU patients. As a proof of concept in mice, we selected a peptide with epitopes predicted to bind to murine MHC-I haplotypes. Our technology successfully elicited peptide-specific T-cell responses, unaffected by the use of unarmed adenoviral vectors or adeno-based vaccines encoding SPIKE. In conclusion, PeptiVAX represents a fast and adaptable SARS-CoV-2 vaccine delivery system that broadens T-cell responses beyond the SPIKE protein, offering potential benefits for vaccine effectiveness.
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Affiliation(s)
- Sara Feola
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Jacopo Chiaro
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Manlio Fusciello
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Salvatore Russo
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | - Iivari Kleino
- Turku Bioscience Centre, University of Turku and Åbo Akademi University Turku, Turku, Finland
| | | | - Eliisa Kekäläinen
- Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; HUSLAB Clinical Microbiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Johanna Hästbacka
- HUSLAB Clinical Microbiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Pirkka T Pekkarinen
- Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Division of Intensive Care Medicine, Department of Anaesthesiology and Intensive Care, University of Helsinki and Helsinki University Hospital, Finland
| | - Erkko Ylösmäki
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland
| | | | | | | | - Carolina Boni
- Laboratory of Viral Immunopathology, Unit of Infectious Disease and Hepatology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Camilla Tiezzi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Andrea Vecchi
- Laboratory of Viral Immunopathology, Unit of Infectious Disease and Hepatology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Monica Gelzo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy
| | | | | | | | | | | | - Tapani Viitala
- Pharmaceutical Biophysics Research Group, Drug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Giuseppe Castaldo
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy
| | - Lucio Pastore
- CEINGE-Biotecnologie Avanzate, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy; Department of Molecular Medicine and Medical Biotechnology, Naples University "Federico II", S. Pansini 5, Italy
| | - Paul Porter
- Valo Therapeutics Oy, Helsinki, Finland; School of Nursing, Curtin University, GPO Box U 1987, Perth, WA 6845, Australia
| | | | - Vincenzo Cerullo
- Drug Research Program (DRP) ImmunoViroTherapy Lab (IVT), Division of Pharmaceutical Biosciences, Faculty of Pharmacy, Viikinkaari 5E, University of Helsinki, 00790 Helsinki, Finland; Helsinki Institute of Life Science (HiLIFE), Fabianinkatu 33, University of Helsinki, 00710 Helsinki, Finland; Translational Immunology Program (TRIMM), Faculty of Medicine Helsinki University, postal code Haartmaninkatu 8, University of Helsinki, 00290 Helsinki, Finland; Digital Precision Cancer Medicine Flagship (iCAN), University of Helsinki, FI-00014 Helsinki, Finland; Institute for Molecular Medicine Finland, FIMM, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, FI-00014 Helsinki, Finland; Department of Molecular Medicine and Medical Biotechnology, Naples University "Federico II", S. Pansini 5, Italy.
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Naveed M, Ali U, Aziz T, Naveed R, Mahmood S, Khan MM, Alharbi M, Albekairi TH, Alasmari AF. An Aedes-Anopheles Vaccine Candidate Supplemented with BCG Epitopes Against the Aedes and Anopheles Genera to Overcome Hypersensitivity to Mosquito Bites. Acta Parasitol 2024; 69:483-504. [PMID: 38194049 DOI: 10.1007/s11686-023-00771-1] [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: 03/27/2023] [Accepted: 11/30/2023] [Indexed: 01/10/2024]
Abstract
BACKGROUND Skeeter syndrome is a severe local allergic response to mosquito bites that is accompanied by considerable inflammation and, in some cases, a systemic response like fever. People with the syndrome develop serious allergies, ranging from rashes to anaphylaxis or shock. The few available studies on mosquito venom immunotherapy have utilized whole-body preparations and small sample sizes. Still, owing to their little success, vaccination remains a promising alternative as well as a permanent solution for infections like Skeeter's. METHODS This study, therefore, illustrated the construction of an epitope-based vaccine candidate against Skeeter Syndrome using established immunoinformatic techniques. We selected three species of mosquitoes, Anopheles melas, Anopheles funestus, and Aedes aegypti, to derive salivary antigens usually found in mosquito bites. Our construct was also supplemented with bacterial epitopes known to elicit a strong TH1 response and suppress TH2 stimulation that is predicted to reduce hypersensitivity against the bites. RESULTS A quality factor of 98.9496, instability index of 38.55, aliphatic index of 79.42, solubility of 0.934747, and GRAVY score of -0.02 indicated the structural (tertiary and secondary) stability, thermostability, solubility, and hydrophilicity of the construct, respectively. The designed Aedes-Anopheles vaccine (AAV) candidate was predicted to be flexible and less prone to deformability with an eigenvalue of 1.5911e-9 and perfected the human immune response against Skeeter (hypersensitivity) and many mosquito-associated diseases as we noted the production of 30,000 Th1 cells per mm3 with little (insignificant production of Th2 cells. The designed vaccine also revealed stable interactions with the pattern recognition receptors of the host. The TLR2/vaccine complex interacted with a free energy of - 1069.2 kcal/mol with 26 interactions, whereas the NLRP3/vaccine complex interacted with a free energy of - 1081.2 kcal/mol with 16 molecular interactions. CONCLUSION Although being a pure in-silico study, the in-depth analysis performed herein speaks volumes of the potency of the designed vaccine candidate predicting that the proposition can withstand rigorous in-vitro and in-vivo clinical trials and may proceed to become the first preventative immunotherapy against mosquito bite allergy.
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Affiliation(s)
- Muhammad Naveed
- Department of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590, Punjab, Pakistan.
| | - Urooj Ali
- Department of Biotechnology, Quaid-I-Azam University Islamabad, Islamabad, 45320, Pakistan
| | - Tariq Aziz
- Department of Agriculture, University of Ioannina Arta, 47100, Arta, Greece.
| | - Rida Naveed
- Department of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590, Punjab, Pakistan
| | - Sarmad Mahmood
- Department of Biotechnology, Faculty of Science and Technology, University of Central Punjab, Lahore, 54590, Punjab, Pakistan
| | - Muhammad Mustajab Khan
- Department of Biotechnology, Quaid-I-Azam University Islamabad, Islamabad, 45320, Pakistan
| | - Metab Alharbi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia
| | - Thamer H Albekairi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia
| | - Abdullah F Alasmari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia
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Shams MH, Sohrabi SM, Jafari R, Sheikhian A, Motedayyen H, Baharvand PA, Hasanvand A, Fouladvand A, Assarehzadegan MA. Designing a T-cell epitope-based vaccine using in silico approaches against the Sal k 1 allergen of Salsola kali plant. Sci Rep 2024; 14:5040. [PMID: 38424208 PMCID: PMC10904830 DOI: 10.1038/s41598-024-55788-x] [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: 10/08/2023] [Accepted: 02/27/2024] [Indexed: 03/02/2024] Open
Abstract
Allergens originated from Salsola kali (Russian thistle) pollen grains are one of the most important sources of aeroallergens causing pollinosis in desert and semi-desert regions. T-cell epitope-based vaccines (TEV) are more effective among different therapeutic approaches developed to alleviate allergic diseases. The physicochemical properties, and B as well as T cell epitopes of Sal k 1 (a major allergen of S. kali) were predicted using immunoinformatic tools. A TEV was constructed using the linkers EAAAK, GPGPG and the most suitable CD4+ T cell epitopes. RS04 adjuvant was added as a TLR4 agonist to the amino (N) and carboxyl (C) terminus of the TEV protein. The secondary and tertiary structures, solubility, allergenicity, toxicity, stability, physicochemical properties, docking with immune receptors, BLASTp against the human and microbiota proteomes, and in silico cloning of the designed TEV were assessed using immunoinformatic analyses. Two CD4+ T cell epitopes of Sal k1 that had high affinity with different alleles of MHC-II were selected and used in the TEV. The molecular docking of the TEV with HLADRB1, and TLR4 showed TEV strong interactions and stable binding pose to these receptors. Moreover, the codon optimized TEV sequence was cloned between NcoI and XhoI restriction sites of pET-28a(+) expression plasmid. The designed TEV can be used as a promising candidate in allergen-specific immunotherapy against S. kali. Nonetheless, effectiveness of this vaccine should be validated through immunological bioassays.
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Affiliation(s)
- Mohammad Hossein Shams
- Hepatitis Research Center and Department of Medical Immunology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Seyyed Mohsen Sohrabi
- Department of Production Engineering and Plant Genetic, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Box 6814993165, Ahvaz, Iran
| | - Reza Jafari
- School of Allied Medical Sciences, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Ali Sheikhian
- Hepatitis Research Center and Department of Medical Immunology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Hossein Motedayyen
- Autoimmune Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Peyman Amanolahi Baharvand
- Hepatitis Research Center and Department of Medical Immunology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Amin Hasanvand
- Department of Physiology and Pharmacology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Ali Fouladvand
- Hepatitis Research Center and Department of Medical Immunology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Mohammad-Ali Assarehzadegan
- Immunology Research Center, Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
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Chao P, Zhang X, Zhang L, Yang A, Wang Y, Chen X. Proteomics-based vaccine targets annotation and design of multi-epitope vaccine against antibiotic-resistant Streptococcus gallolyticus. Sci Rep 2024; 14:4836. [PMID: 38418560 PMCID: PMC10901886 DOI: 10.1038/s41598-024-55372-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 02/22/2024] [Indexed: 03/01/2024] Open
Abstract
Streptococcus gallolyticus is a non-motile, gram-positive bacterium that causes infective endocarditis. S. gallolyticus has developed resistance to existing antibiotics, and no vaccine is currently available. Therefore, it is essential to develop an effective S. gallolyticus vaccine. Core proteomics was used in this study together with subtractive proteomics and reverse vaccinology approach to find antigenic proteins that could be utilized for the design of the S. gallolyticus multi-epitope vaccine. The pipeline identified two antigenic proteins as potential vaccine targets: penicillin-binding protein and the ATP synthase subunit. T and B cell epitopes from the specific proteins were forecasted employing several immunoinformatics and bioinformatics resources. A vaccine (360 amino acids) was created using a combination of seven cytotoxic T cell lymphocyte (CTL), three helper T cell lymphocyte (HTL), and five linear B cell lymphocyte (LBL) epitopes. To increase immune responses, the vaccine was paired with a cholera enterotoxin subunit B (CTB) adjuvant. The developed vaccine was highly antigenic, non-allergenic, and stable for human use. The vaccine's binding affinity and molecular interactions with the human immunological receptor TLR4 were studied using molecular mechanics/generalized Born surface area (MMGBSA), molecular docking, and molecular dynamic (MD) simulation analyses. Escherichia coli (strain K12) plasmid vector pET-28a ( +) was used to examine the ability of the vaccine to be expressed. According to the outcomes of these computer experiments, the vaccine is quite promising in terms of developing a protective immunity against diseases. However, in vitro and animal research are required to validate our findings.
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Affiliation(s)
- Peng Chao
- Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Xueqin Zhang
- Department of Nephrology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Lei Zhang
- Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Aiping Yang
- Department of Traditional Chinese Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Yong Wang
- Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Xiaoyang Chen
- Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
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Fatima I, Alshabrmi FM, Aziz T, Alamri AS, Alhomrani M, Alghamdi S, Alghuraybi RA, Babalghith AO, Bamagous GA, Alhindi Z, Dablool AS, Alhhazmi AA, Alruways MW. Revolutionizing and identifying novel drug targets in Citrobacter koseri via subtractive proteomics and development of a multi-epitope vaccine using reverse vaccinology and immuno-informatics. J Biomol Struct Dyn 2024:1-14. [PMID: 38407210 DOI: 10.1080/07391102.2024.2316762] [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: 11/16/2023] [Accepted: 02/04/2024] [Indexed: 02/27/2024]
Abstract
Citrobacter koseri is a gram-negative rod that has been linked to infections in people with significant comorbidities and immunocompromised immune systems. It is most commonly known to cause urinary tract infections. Thus, the development of an efficacious C. koseri vaccine is imperative, as the pathogen has acquired resistance to current antibiotics. Subtractive proteomics was employed during this research to identify potential antigenic proteins to design an effective vaccine against C. koseri. The pipeline identified two antigenic proteins as potential vaccine targets: DP-3-O-acyl-N-acetylglucosamine deacetylase and Arabinose 5-phosphate isomerase. B and T cell epitopes from the specific proteins were forecasted employing several immunoinformatic and bioinformatics resources. A vaccine was created using a combination of seven cytotoxic T cell lymphocytes (CTL), five helper T cell lymphocyte (HTL), and seven linear B cell lymphocyte (LBL) epitopes. An adjuvant (β-defensin) was added to the vaccine to enhance immunological responses. The created vaccine was stable for use in humans, highly antigenic, and non-allergenic. The vaccine's molecular and interactions binding affinity with the human immunological receptor TLR3 were studied using MMGBSA, molecular dynamics (MD) simulations, and molecular docking analyses. E. coli (strain-K12) plasmid vector pET-28a (+) was used to examine the ability of the vaccine to be expressed. The vaccine shows great promise in terms of developing protective immunity against diseases, based on the results of these computer experiments. However, in vitro and animal research are required to validate our findings.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Israr Fatima
- Department of Bioinformatics, College of Life Science, Northwest Agriculture and Forestry University, Yangling, China
| | - Fahad M Alshabrmi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia
| | - Tariq Aziz
- Laboratory of Animal Health, Food Hygiene, and Quality, Department of Agriculture, University of Ioannina, Arta, Greece
| | - Abdulhakeem S Alamri
- Department of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia
| | - Majid Alhomrani
- Department of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia
| | - Saad Alghamdi
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Reem Ahmad Alghuraybi
- Laboratory and Blood Bank Department, Alnoor Specialist Hospital, Ministry of Health Makkah, Makkah, Saudi Arabia
| | - Ahmad O Babalghith
- Medical Genetics Department College of Medicine Umm Al-Qura University, Makkah, Saudi Arabia
| | - Ghazi A Bamagous
- Department of Pharmacology and Toxicology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Zain Alhindi
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Anas S Dablool
- Public health Department, Health Sciences College at Al-Leith، Umm Al-Qura University, Makkah, Saudi Arabia
| | - Areej A Alhhazmi
- Medical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia
| | - Mashael W Alruways
- Department of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Shaqra University, Shaqra, Saudi Arabia
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Salahlou R, Farajnia S, Bargahi N, Bakhtiyari N, Elmi F, Shahgolzari M, Fiering S, Venkataraman S. Development of a novel multi‑epitope vaccine against the pathogenic human polyomavirus V6/7 using reverse vaccinology. BMC Infect Dis 2024; 24:177. [PMID: 38336665 PMCID: PMC10854057 DOI: 10.1186/s12879-024-09046-0] [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: 10/30/2023] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Human polyomaviruses contribute to human oncogenesis through persistent infections, but currently there is no effective preventive measure against the malignancies caused by this virus. Therefore, the development of a safe and effective vaccine against HPyV is of high priority. METHODS First, the proteomes of 2 polyomavirus species (HPyV6 and HPyV7) were downloaded from the NCBI database for the selection of the target proteins. The epitope identification process focused on selecting proteins that were crucial, associated with virulence, present on the surface, antigenic, non-toxic, and non-homologous with the human proteome. Then, the immunoinformatic methods were used to identify cytotoxic T-lymphocyte (CTL), helper T-lymphocyte (HTL), and B-cell epitopes from the target antigens, which could be used to create epitope-based vaccine. The physicochemical features of the designed vaccine were predicted through various online servers. The binding pattern and stability between the vaccine candidate and Toll-like receptors were analyzed through molecular docking and molecular dynamics (MD) simulation, while the immunogenicity of the designed vaccines was assessed using immune simulation. RESULTS Online tools were utilized to forecast the most optimal epitope from the immunogenic targets, including LTAg, VP1, and VP1 antigens of HPyV6 and HPyV7. A multi-epitope vaccine was developed by combining 10 CTL, 7 HTL, and 6 LBL epitopes with suitable linkers and adjuvant. The vaccine displayed 98.35% of the world's population coverage. The 3D model of the vaccine structure revealed that the majority of residues (87.7%) were located in favored regions of the Ramachandran plot. The evaluation of molecular docking and MD simulation revealed that the constructed vaccine exhibits a strong binding (-1414.0 kcal/mol) towards the host's TLR4. Moreover, the vaccine-TLR complexes remained stable throughout the dynamic conditions present in the natural environment. The immune simulation results demonstrated that the vaccine design had the capacity to elicit robust immune responses in the host. CONCLUSION The multi-parametric analysis revealed that the designed vaccine is capable of inducing sustained immunity against the selected polyomaviruses, although further in-vivo investigations are needed to verify its effectiveness.
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Affiliation(s)
- Reza Salahlou
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Safar Farajnia
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Nasrin Bargahi
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Nasim Bakhtiyari
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Faranak Elmi
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mehdi Shahgolzari
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Steven Fiering
- Department of Microbiology and Immunology, Geisel School of Medicine, and Dartmouth Cancer Center, Lebanon, NH, USA
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Dikhit MR, Sen A. Elucidation of conserved multi-epitope vaccine against Leishmania donovani using reverse vaccinology. J Biomol Struct Dyn 2024; 42:1293-1306. [PMID: 37054523 DOI: 10.1080/07391102.2023.2201630] [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: 11/02/2022] [Accepted: 03/29/2023] [Indexed: 04/15/2023]
Abstract
Visceral leishmaniasis (VL) is a tropical disease that causes severe public health problems in humans when untreated. As no licensed vaccine exists against VL, we aimed to formulate a potential MHC-restricted chimeric vaccine construct against this dreadful parasitic disease. Amastin-like protein derived from L. donovani is considered to be stable, immunogenic and non-allergic. A comprehensive established framework was used to explore the set of immunogenic epitopes with estimated population coverage of 96.08% worldwide. The rigorous assessment revealed 6 promiscuous T-epitopes which can plausibly be presented by more than 66 diverse HLA alleles. Further docking and simulation study of peptide receptor complexes identified a strong and stable binding interaction with better structural compactness. The predicted epitopes were combined with appropriate linkers and adjuvant molecules and their translation efficiency was evaluated in pET28+(a), an bacterial expression vector using in-silico cloning. Molecular docking followed by MD simulation study revealed a stable interaction between chimeric vaccine construct with TLRs. Immune simulation of the chimeric vaccine constructs showed an elevated Th1 immune response against both B and T epitopes. With this, the detailed computational analysis suggested that the chimeric vaccine construct can evoke a robust immune response against Leishmania donovani infection. Future studies are required to validate the role of amastin as a promising vaccine target.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Manas Ranjan Dikhit
- Department of Molecular Biology, ICMR-Rajendra Memorial Research Institute of Medical Sciences, Patna, India
| | - Abhik Sen
- Department of Molecular Biology, ICMR-Rajendra Memorial Research Institute of Medical Sciences, Patna, India
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Bravi B. Development and use of machine learning algorithms in vaccine target selection. NPJ Vaccines 2024; 9:15. [PMID: 38242890 PMCID: PMC10798987 DOI: 10.1038/s41541-023-00795-8] [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: 08/04/2023] [Accepted: 12/07/2023] [Indexed: 01/21/2024] Open
Abstract
Computer-aided discovery of vaccine targets has become a cornerstone of rational vaccine design. In this article, I discuss how Machine Learning (ML) can inform and guide key computational steps in rational vaccine design concerned with the identification of B and T cell epitopes and correlates of protection. I provide examples of ML models, as well as types of data and predictions for which they are built. I argue that interpretable ML has the potential to improve the identification of immunogens also as a tool for scientific discovery, by helping elucidate the molecular processes underlying vaccine-induced immune responses. I outline the limitations and challenges in terms of data availability and method development that need to be addressed to bridge the gap between advances in ML predictions and their translational application to vaccine design.
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Affiliation(s)
- Barbara Bravi
- Department of Mathematics, Imperial College London, London, SW7 2AZ, UK.
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Conev A, Fasoulis R, Hall-Swan S, Ferreira R, Kavraki LE. HLAEquity: Examining biases in pan-allele peptide-HLA binding predictors. iScience 2024; 27:108613. [PMID: 38188519 PMCID: PMC10770483 DOI: 10.1016/j.isci.2023.108613] [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: 11/08/2023] [Revised: 11/13/2023] [Accepted: 11/29/2023] [Indexed: 01/09/2024] Open
Abstract
Peptide-HLA (pHLA) binding prediction is essential in screening peptide candidates for personalized peptide vaccines. Machine learning (ML) pHLA binding prediction tools are trained on vast amounts of data and are effective in screening peptide candidates. Most ML models report the ability to generalize to HLA alleles unseen during training ("pan-allele" models). However, the use of datasets with imbalanced allele content raises concerns about biased model performance. First, we examine the data bias of two ML-based pan-allele pHLA binding predictors. We find that the pHLA datasets overrepresent alleles from geographic populations of high-income countries. Second, we show that the identified data bias is perpetuated within ML models, leading to algorithmic bias and subpar performance for alleles expressed in low-income geographic populations. We draw attention to the potential therapeutic consequences of this bias, and we challenge the use of the term "pan-allele" to describe models trained with currently available public datasets.
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Affiliation(s)
- Anja Conev
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Romanos Fasoulis
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Sarah Hall-Swan
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Rodrigo Ferreira
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Lydia E. Kavraki
- Department of Computer Science, Rice University, Houston, TX, USA
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Aiman S, Farooq QUA, Han Z, Aslam M, Zhang J, Khan A, Ahmad A, Li C, Ali Y. Core-genome-mediated promising alternative drug and multi-epitope vaccine targets prioritization against infectious Clostridium difficile. PLoS One 2024; 19:e0293731. [PMID: 38241420 PMCID: PMC10798517 DOI: 10.1371/journal.pone.0293731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/18/2023] [Indexed: 01/21/2024] Open
Abstract
Prevention of Clostridium difficile infection is challenging worldwide owing to its high morbidity and mortality rates. C. difficile is currently being classified as an urgent threat by the CDC. Devising a new therapeutic strategy become indispensable against C. difficile infection due to its high rates of reinfection and increasing antimicrobial resistance. The current study is based on core proteome data of C. difficile to identify promising vaccine and drug candidates. Immunoinformatics and vaccinomics approaches were employed to construct multi-epitope-based chimeric vaccine constructs from top-ranked T- and B-cell epitopes. The efficacy of the designed vaccine was assessed by immunological analysis, immune receptor binding potential and immune simulation analyses. Additionally, subtractive proteomics and druggability analyses prioritized several promising and alternative drug targets against C. difficile. These include FMN-dependent nitroreductase which was prioritized for pharmacophore-based virtual screening of druggable molecule databases to predict potent inhibitors. A MolPort-001-785-965 druggable molecule was found to exhibit significant binding affinity with the conserved residues of FMN-dependent nitroreductase. The experimental validation of the therapeutic targets prioritized in the current study may worthy to identify new strategies to combat the drug-resistant C. difficile infection.
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Affiliation(s)
- Sara Aiman
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Qurrat ul Ain Farooq
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Zhongjie Han
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Muneeba Aslam
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Jilong Zhang
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Asifullah Khan
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Abbas Ahmad
- Department of Biotechnology, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan
| | - Chunhua Li
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Yasir Ali
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, Hong Kong
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Dolley A, Goswami HB, Dowerah D, Dey U, Kumar A, Hmuaka V, Mukhopadhyay R, Kundu D, Varghese GM, Doley R, Chandra Deka R, Namsa ND. Reverse vaccinology and immunoinformatics approach to design a chimeric epitope vaccine against Orientia tsutsugamushi. Heliyon 2024; 10:e23616. [PMID: 38187223 PMCID: PMC10767154 DOI: 10.1016/j.heliyon.2023.e23616] [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: 03/30/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Scrub typhus is a vector-borne infectious disease caused by Orientia tsutsugamushi and it is reportedly associated with up to 20 % of hospitalized cases of febrile illnesses. The major challenge of vaccine development is the lack of identified antigens that can induce both heterotypic and homotypic immunity including the production of antibodies, cytotoxic T lymphocyte, and helper T lymphocytes. We employed a comprehensive immunoinformatic prediction algorithm to identify immunogenic epitopes of the 56-kDa type-specific cell membrane surface antigen and surface cell antigen A of O. tsutsugamushi to select potential candidates for developing vaccines and diagnostic assays. We identified 35 linear and 29 continuous immunogenic B-cell epitopes and 51 and 27 strong-binding T-cell epitopes of major histocompatibility complex class I and class II molecules, respectively, in the conserved and variable regions of the 56-kDa type-specific surface antigen. The predicted B- and T-cell epitopes were used to develop immunogenic multi-epitope candidate vaccines and showed to elicit a broad-range of immune protection. A stable interactions between the multi-epitope vaccines and the host fibronectin protein were observed using docking and simulation methods. Molecular dynamics simulation studies demonstrated that the multi-epitope vaccine constructs and fibronectin docked models were stable during simulation time. Furthermore, the multi-epitope vaccine exhibited properties such as antigenicity, non-allergenicity and ability to induce interferon gamma production and had strong associations with their respective human leukocyte antigen alleles of world-wide population coverage. A correlation of immune simulations and the in-silico predicted immunogenic potential of multi-epitope vaccines implicate for further investigations to accelerate designing of epitope-based vaccine candidates and chimeric antigens for development of serological diagnostic assays for scrub typhus.
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Affiliation(s)
- Anutee Dolley
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
| | - Himanshu Ballav Goswami
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
| | - Dikshita Dowerah
- Department of Chemical Sciences, Tezpur University, Napaam, 784028, Assam, India
| | - Upalabdha Dey
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
| | - Aditya Kumar
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
| | - Vanlal Hmuaka
- Entomology and Biothreat Management Division, Defence Research Laboratory, Tezpur, 784001, Assam, India
| | - Rupak Mukhopadhyay
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
| | - Debasree Kundu
- Department of Infectious Diseases, Christian Medical College, Vellore, 632002, Tamil Nadu, India
| | - George M. Varghese
- Department of Infectious Diseases, Christian Medical College, Vellore, 632002, Tamil Nadu, India
| | - Robin Doley
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
| | - Ramesh Chandra Deka
- Department of Chemical Sciences, Tezpur University, Napaam, 784028, Assam, India
| | - Nima D. Namsa
- Department of Molecular Biology and Biotechnology, Tezpur University, Napaam, 784028, Assam, India
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Ratishvili T, Quach HQ, Haralambieva IH, Suryawanshi YR, Ovsyannikova IG, Kennedy RB, Poland GA. A multifaceted approach for identification, validation, and immunogenicity of naturally processed and in silico-predicted highly conserved SARS-CoV-2 peptides. Vaccine 2024; 42:162-174. [PMID: 38105139 DOI: 10.1016/j.vaccine.2023.12.024] [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: 05/31/2023] [Revised: 11/19/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023]
Abstract
SARS-CoV-2 remains a major global public health concern. Antibody waning and immune escape variant emergence necessitate the development of next generation vaccines that induce cross-reactive durable immune responses. T cell responses to SARS-CoV-2 demonstrate higher conservation, antigenic breadth, and longevity than antibody responses. Therefore, we sought to identify pathogen-derived T cell epitopes for a potential peptide-based vaccine. We pursued an approach leveraging: 1) liquid chromatography and tandem mass spectrometry (LC-MS/MS)-based identification of peptides from ancestral SARS-CoV-2-infected cell lines, 2) epitope prediction algorithms, and 3) overlapping peptide libraries. From this strategy, we identified 380 unique SARS-CoV-2-derived peptide sequences, including 53 antigenic HLA class I and class II peptides from multiple structural and non-structural/accessory viral proteins. These peptide sequences were highly conserved across variants of concern/interest (VoC/VoIs), and are estimated to achieve coverage of >96% of the world population. Our findings validate this discovery pipeline for peptide identification and immunogenicity testing, and are a crucial step toward the development of a next-generation multi-epitope SARS-CoV-2 peptide vaccine, and a novel vaccine platform methodology.
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Affiliation(s)
- Tamar Ratishvili
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Huy Quang Quach
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Iana H Haralambieva
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Yogesh R Suryawanshi
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Inna G Ovsyannikova
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Richard B Kennedy
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Gregory A Poland
- Mayo Clinic Vaccine Research Group, Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
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Hulme KD, Tong ZWM, Rowntree LC, van de Sandt CE, Ronacher K, Grant EJ, Dorey ES, Gallo LA, Gras S, Kedzierska K, Barrett HL, Short KR. Increasing HbA1c is associated with reduced CD8 + T cell functionality in response to influenza virus in a TCR-dependent manner in individuals with diabetes mellitus. Cell Mol Life Sci 2024; 81:35. [PMID: 38214784 PMCID: PMC10786977 DOI: 10.1007/s00018-023-05010-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 10/11/2023] [Accepted: 10/22/2023] [Indexed: 01/13/2024]
Abstract
Diabetes mellitus is on the rise globally and is a known susceptibility factor for severe influenza virus infections. However, the mechanisms by which diabetes increases the severity of an influenza virus infection are yet to be fully defined. Diabetes mellitus is hallmarked by high glucose concentrations in the blood. We hypothesized that these high glucose concentrations affect the functionality of CD8+ T cells, which play a key role eliminating virus-infected cells and have been shown to decrease influenza disease severity. To study the effect of hyperglycemia on CD8+ T cell function, we stimulated peripheral blood mononuclear cells (PBMCs) from donors with and without diabetes with influenza A virus, anti-CD3/anti-CD28-coated beads, PMA and ionomycin (PMA/I), or an influenza viral peptide pool. After stimulation, cells were assessed for functionality [as defined by expression of IFN-γ, TNF-α, macrophage inflammatory protein (MIP)-1β, and lysosomal-associated membrane protein-1 (CD107a)] using flow cytometry. Our results showed that increasing HbA1c correlated with a reduction in TNF-α production by CD8+ T cells in response to influenza stimulation in a TCR-specific manner. This was not associated with any changes to CD8+ T cell subsets. We conclude that hyperglycemia impairs CD8+ T cell function to influenza virus infection, which may be linked with the increased risk of severe influenza in patients with diabetes.
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Affiliation(s)
- Katina D Hulme
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
- Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Zhen Wei Marcus Tong
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
| | - Louise C Rowntree
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
| | - Carolien E van de Sandt
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
- Department of Hematopoiesis, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Katharina Ronacher
- Mater Research Institute, Translational Research Institute, The University of Queensland, Brisbane, Australia
- Australian Infectious Diseases Research Centre, The University of Queensland, St Lucia, QLD, Australia
| | - Emma J Grant
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, Australia
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Emily S Dorey
- Mater Research Institute, Translational Research Institute, The University of Queensland, Brisbane, Australia
| | - Linda A Gallo
- School of Biomedical Sciences, The University of Queensland, St Lucia, QLD, Australia
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Moreton Bay, QLD, Australia
| | - Stephanie Gras
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, Australia
- Department of Biochemistry and Molecular Biology and Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
| | - Helen L Barrett
- Mater Research Institute, Translational Research Institute, The University of Queensland, Brisbane, Australia
- Obstetric Medicine, The Royal Hospital for Women, Randwick, NSW, Australia
- School of Medicine, UNSW, Randwick, NSW, Australia
| | - Kirsty R Short
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia.
- Australian Infectious Diseases Research Centre, The University of Queensland, St Lucia, QLD, Australia.
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Marques PH, Tiwari S, Felice AG, Jaiswal AK, Aburjaile FF, Azevedo V, Silva-Vergara ML, Ferreira-Paim K, Soares SDC, Fonseca FM. Design of a Multi-Epitope Vaccine against Histoplasma capsulatum through Immunoinformatics Approaches. J Fungi (Basel) 2024; 10:43. [PMID: 38248954 PMCID: PMC10817582 DOI: 10.3390/jof10010043] [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: 10/25/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/23/2024] Open
Abstract
Histoplasmosis is a widespread systemic disease caused by Histoplasma capsulatum, prevalent in the Americas. Despite its significant morbidity and mortality rates, no vaccines are currently available. Previously, five vaccine targets and specific epitopes for H. capsulatum were identified. Immunoinformatics has emerged as a novel approach for determining the main immunogenic components of antigens through in silico methods. Therefore, we predicted the main helper and cytotoxic T lymphocytes and B-cell epitopes for these targets to create a potential multi-epitope vaccine known as HistoVAC-TSFM. A total of 38 epitopes were found: 23 common to CTL and B-cell responses, 11 linked to HTL and B cells, and 4 previously validated epitopes associated with the B subunit of cholera toxin, a potent adjuvant. In silico evaluations confirmed the stability, non-toxicity, non-allergenicity, and non-homology of these vaccines with the host. Notably, the vaccine exhibited the potential to trigger both innate and adaptive immune responses, likely involving the TLR4 pathway, as supported by 3D modeling and molecular docking. The designed HistoVAC-TSFM appears promising against Histoplasma, with the ability to induce important cytokines, such as IFN-γ, TNF-α, IL17, and IL6. Future studies could be carried out to test the vaccine's efficacy in in vivo models.
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Affiliation(s)
- Pedro Henrique Marques
- Postgraduate Interunits Program in Bioinformatics, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil; (P.H.M.); (A.K.J.)
- Department of Preventive Veterinary, Medicine, School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Sandeep Tiwari
- Institute of Biology, Federal University of Bahia, Salvador 40170-115, Brazil;
- Institute of Health Sciences, Federal University of Bahia, Salvador 40170-115, Brazil
| | - Andrei Giacchetto Felice
- Department of Microbiology, Immunology and Parasitology, Federal University of Triangulo Mineiro, Uberaba 38015-050, Brazil; (A.G.F.); (S.d.C.S.)
| | - Arun Kumar Jaiswal
- Postgraduate Interunits Program in Bioinformatics, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil; (P.H.M.); (A.K.J.)
| | - Flávia Figueira Aburjaile
- Department of Preventive Veterinary, Medicine, School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Vasco Azevedo
- Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Mario León Silva-Vergara
- Department of Infectious Diseases, Federal University of Triangulo Mineiro, Uberaba 38025-440, Brazil;
| | - Kennio Ferreira-Paim
- Department of Microbiology, Immunology and Parasitology, Federal University of Triangulo Mineiro, Uberaba 38015-050, Brazil; (A.G.F.); (S.d.C.S.)
| | - Siomar de Castro Soares
- Department of Microbiology, Immunology and Parasitology, Federal University of Triangulo Mineiro, Uberaba 38015-050, Brazil; (A.G.F.); (S.d.C.S.)
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Yuan L, Li X, Li M, Bi R, Li Y, Song J, Li W, Yan M, Luo H, Sun C, Shu Y. In silico design of a broad-spectrum multiepitope vaccine against influenza virus. Int J Biol Macromol 2024; 254:128071. [PMID: 37967595 DOI: 10.1016/j.ijbiomac.2023.128071] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/10/2023] [Accepted: 11/10/2023] [Indexed: 11/17/2023]
Abstract
Influenza remains a global health concern due to its potential to cause pandemics as a result of rapidly mutating influenza virus strains. Existing vaccines often struggle to keep up with these rapidly mutating flu viruses. Therefore, the development of a broad-spectrum peptide vaccine that can stimulate an optimal antibody response has emerged as an innovative approach to addressing the influenza threat. In this study, an immunoinformatic approach was employed to rapidly predict immunodominant epitopes from different antigens, aiming to develop an effective multiepitope influenza vaccine (MEV). The immunodominant B-cell linear epitopes of seasonal influenza strains hemagglutinin (HA) and neuraminidase (NA) were predicted using an antibody-peptide microarray, involving a human cohort including vaccinees and infected patients. On the other hand, bioinformatics tools were used to predict immunodominant cytotoxic T-cell (CTL) and helper T-cell (HTL) epitopes. Subsequently, these epitopes were evaluated by various immunoinformatic tools. Epitopes with high antigenicity, high immunogenicity, non-allergenicity, non-toxicity, as well as exemplary conservation were then connected in series with appropriate linkers and adjuvants to construct a broad-spectrum MEV. Moreover, the structural analysis revealed that the MEV candidates exhibited good stability, and the docking results demonstrated their strong affinity to Toll-like receptors 4 (TLR4). In addition, molecular dynamics simulation confirmed the stable interaction between TLR4 and MEVs. Three injections with MEVs showed a high level of B-cell and T-cell immune responses according to the immunological simulations in silico. Furthermore, in-silico cloning was performed, and the results indicated that the MEVs could be produced in considerable quantities in Escherichia coli (E. coli). Based on these findings, it is reasonable to create a broad-spectrum MEV against different subtypes of influenza A and B viruses in silico.
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Affiliation(s)
- Lifang Yuan
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China.
| | - Xu Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Department of Pathogenic Biology and Immunology, School of Basic Medicine, Xiangnan University, Chenzhou, Hunan, PR China.
| | - Minchao Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China.
| | - Rongjun Bi
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China
| | - Yingrui Li
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China.
| | - Jiaping Song
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China.
| | - Wei Li
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China.
| | - Mingchen Yan
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China
| | - Huanle Luo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou 510080, PR China.
| | - Caijun Sun
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou 510080, PR China.
| | - Yuelong Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou 510080, PR China; Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100176, PR China.
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66
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Chandra H, Ahlers B, Lam YW, Yadav JS. Dominant Circulating Cell-free Mycobacterial Proteins in In-use Machining Fluid and their Antigenicity Potential. Curr Protein Pept Sci 2024; 25:613-625. [PMID: 38698749 DOI: 10.2174/0113892037291635240405042554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/15/2024] [Accepted: 02/21/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Occupational exposure to industrial Metalworking Fluid (MWF) colonized by Mycobacterium immunogenum (MI) has been associated with immune lung disease hypersensitivity pneumonitis (HP) in machinists. This warrants regular fluid monitoring for early detection of mycobacterial proteins, especially those with antigenic potential. OBJECTIVE To detect and identify dominant MI proteins and antigens directly from the field-drawn in-use MWF using an integrated immunoproteomic-immunoinformatic approach. METHODS An MI-positive MWF selected by DNA-based screening of several field-drawn MWF samples was cultured to isolate the colonizing strain and profiled for dominant circulating cell-free (ccf) MI proteins, including antigens using an integrated immunoproteomic (1D- and 2Dgel fractionation of seroreactive proteins combined with shotgun proteomic analysis using LC-MS/MS) and immunoinformatic strategy. RESULTS A new MI strain (MJY-27) was identified. The gel fractionated MI protein bands (1Dgel) or spots (2D-gel) seroreactive with anti-MI sera probes (Rabbit and Patient sera) yielded 86 MI proteins, 29 of which showed peptide abundance. T-cell epitope analysis revealed high (90-100%) binding frequency for HLA-I & II alleles for 13 of the 29 proteins. Their antigenicity analysis revealed the presence of 6 to 37 antigenic determinants. Interestingly, one of the identified candidates corresponded to an experimentally validated strong B- and T-cell antigen (AgD) from our laboratory culture-based studies. CONCLUSION This first report on dominant proteins, including putative antigens of M. immunogenum prevalent in field in-use MWF, is a significant step towards the overall goal of developing fluid monitoring for exposure and disease risk assessment for HP development in machining environments.
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Affiliation(s)
- Harish Chandra
- Pulmonary/Microbial Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH45267-0056, USA
| | - Bethany Ahlers
- Vermont Biomedical Research Network Proteomics Facility, University of Vermont, Burlington, VT05405, USA
| | - Ying Wai Lam
- Vermont Biomedical Research Network Proteomics Facility, University of Vermont, Burlington, VT05405, USA
| | - Jagjit S Yadav
- Pulmonary/Microbial Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH45267-0056, USA
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67
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He S, Zhou F. Characterization of T-Cell Epitopes in Food Allergens by Bioinformatic Tools. Methods Mol Biol 2024; 2717:77-99. [PMID: 37737979 DOI: 10.1007/978-1-0716-3453-0_6] [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] [Indexed: 09/23/2023]
Abstract
The identification of T-cell epitopes is a critical step in the understanding of the immunologic mechanisms such as food allergy. Epitope screening in silico by bioinformatic tools can be used to identify T-cell epitopes, which can save time and resources. In this chapter, a multiparametric approach to predict and assess major histocompatibility complex (MHC) class II binding T-cell epitopes using bioinformatics was introduced for food allergens. Furthermore, the ability of predicted T-cell epitopes to induce interleukin (IL)-4, as well as the allergenicity potential based on the sequence analysis and population coverage of epitopes were also determined. The molecular docking approach was further used to explore the binding ability between epitopes and human leukocyte antigen (HLA) class II molecules. The amino acids that might be responsible for binding to HLA class II molecules and their binding interactions were analyzed.
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Affiliation(s)
- Shudong He
- School of Food and Biological Engineering, Engineering Research Center of Bio-process of Ministry of Education, Hefei University of Technology, Hefei, China.
| | - Fanlin Zhou
- School of Food and Biological Engineering, Engineering Research Center of Bio-process of Ministry of Education, Hefei University of Technology, Hefei, China
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Kumar P, Kumar P, Shrivastava A, Dar MA, Lokhande KB, Singh N, Singh A, Velayutham R, Mandal D. Immunoinformatics-based multi-epitope containing fused polypeptide vaccine design against visceral leishmaniasis with high immunogenicity and TLR binding. Int J Biol Macromol 2023; 253:127567. [PMID: 37866569 DOI: 10.1016/j.ijbiomac.2023.127567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/24/2023]
Abstract
Visceral leishmaniasis (VL) is the most lethal among all leishmaniasis diseases and remains categorized as a neglected tropical disease (NTD). This study aimed to develop a peptide-based multi-epitope vaccine construct against VL using immunoinformatics methodologies. To achieve this, four distinct proteins were screened to identify peptides consisting of 9-15 amino acids with high binding affinity to toll-like receptors (TLRs), strong antigenicity, low allergenicity, and minimal toxicity. The resulting multi-epitope vaccine construct was fused in a tandem arrangement with appropriate linker peptides and exhibited superior properties related to cytotoxic T lymphocytes (CTLs), helper T lymphocytes (HTLs), and B-cell epitopes. Subsequently, a three-dimensional (3D) model of the vaccine construct was generated, refined, and validated for structural stability and immune response capabilities. Molecular docking and simulations confirmed the vaccine construct's stability and binding affinities with TLRs, with TLR4 displaying the highest binding affinity, followed by TLR2 and TLR3. Additionally, simulations predicted robust cellular and humoral antibody-mediated immune responses elicited by the designed vaccine construct. Notably, this vaccine construct includes proteins from various pathways of Leishmania donovani (LD), which have not been previously utilized in VL vaccine design. Thus, this study opens new avenues for the development of vaccines against diverse protozoan diseases.
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Affiliation(s)
- Pawan Kumar
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur-Vaishali, Bihar 844102, India
| | - Prakash Kumar
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur-Vaishali, Bihar 844102, India
| | - Ashish Shrivastava
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, UP, India
| | - Mukhtar Ahmad Dar
- Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur-Vaishali, Bihar 844102, India
| | - Kiran Bharat Lokhande
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, UP, India
| | - Nidhi Singh
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research (NIPER) Ahmedabad, India
| | - Ashutosh Singh
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, UP, India
| | - Ravichandiran Velayutham
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur-Vaishali, Bihar 844102, India; National Institute of Pharmaceutical Education and Research (NIPER) Kolkata, India
| | - Debabrata Mandal
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur-Vaishali, Bihar 844102, India.
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Tamanna T, Rahman MS. Leveraging immunoinformatics for developing a multi-epitope subunit vaccine against Helicobacter pylori and Fusobacterium nucleatum. J Biomol Struct Dyn 2023:1-14. [PMID: 38116749 DOI: 10.1080/07391102.2023.2292295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
Gastric ulcers caused by Helicobacter pylori and Fusobacterium nucleatum remain a significant global health concern without an established vaccine. In this study, we utilized immunoinformatics methods to design a multi-epitope vaccine targeting these pathogens. Outer membrane proteins from H. pylori and F. nucleatum were scrutinized to identify high antigenic T-cell and B-cell epitopes. The resulting vaccine comprised carefully analyzed and evaluated epitopes, including cytotoxic T-lymphocytes, helper T-lymphocytes, and linear B-lymphocytes epitopes. This vaccine exhibited notable antigenicity, suitable immunogenicity, and demonstrated non-allergenicity and non-toxicity. It displayed favorable physiochemical characteristics and high solubility. In interaction studies, the vaccine exhibited robust binding to toll-like receptor 4 (TLR4). Molecular dynamic simulations revealed cohesive structural integrity and stable attachment. Codon adaptation utilizing Escherichia coli K12 host yielded a vaccine with elevated Codon Adaptation Index (CAI) and optimal GC content. In silico cloning into the pET28+(a) vector demonstrated efficient expression. Immune simulations indicated the vaccine's ability to initiate immune responses in humans, mirroring real-life scenarios. Based on these comprehensive findings, we propose that our developed vaccine has the potential to confer robust immunity against H. pylori and F. nucleatum infections.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Tanjin Tamanna
- Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh
- Bioinformatics and Microbial Biotechnology Laboratory, Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Md Shahedur Rahman
- Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh
- Bioinformatics and Microbial Biotechnology Laboratory, Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh
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Schulte SC, Dilthey AT, Klau GW. HOGVAX: Exploiting epitope overlaps to maximize population coverage in vaccine design with application to SARS-CoV-2. Cell Syst 2023; 14:1122-1130.e3. [PMID: 38128484 DOI: 10.1016/j.cels.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/19/2023] [Accepted: 11/08/2023] [Indexed: 12/23/2023]
Abstract
The efficacy of epitope vaccines depends on the included epitopes as well as the probability that the selected epitopes are presented by the major histocompatibility complex (MHC) proteins of a vaccinated individual. Designing vaccines that effectively immunize a high proportion of the population is challenging because of high MHC polymorphism, diverging MHC-peptide binding affinities, and physical constraints on epitope vaccine constructs. Here, we present HOGVAX, a combinatorial optimization approach for epitope vaccine design. To optimize population coverage within the constraint of limited vaccine construct space, HOGVAX employs a hierarchical overlap graph (HOG) to identify and exploit overlaps between selected peptides and explicitly models the structure of linkage disequilibrium in the MHC. In a SARS-CoV-2 case study, we demonstrate that HOGVAX-designed vaccines contain substantially more epitopes than vaccines built from concatenated peptides and predict vaccine efficacy in over 98% of the population with high numbers of presented peptides in vaccinated individuals.
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Affiliation(s)
- Sara C Schulte
- Algorithmic Bioinformatics, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
| | - Alexander T Dilthey
- Institute of Medical Microbiology and Hospital Hygiene, University Clinic Düsseldorf, Düsseldorf, Germany.
| | - Gunnar W Klau
- Algorithmic Bioinformatics, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
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71
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Marques PH, Rodrigues TCV, Santos EH, Bleicher L, Aburjaile FF, Martins FS, Oliveira CJF, Azevedo V, Tiwari S, Soares S. Design of a multi-epitope vaccine (vme-VAC/MST-1) against cholera and vibriosis based on reverse vaccinology and immunoinformatics approaches. J Biomol Struct Dyn 2023:1-16. [PMID: 38112302 DOI: 10.1080/07391102.2023.2293256] [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: 02/08/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
Vibriosis and cholera are serious diseases distributed worldwide and caused by six marine bacteria of the Vibrio genus. Thousands of deaths occur each year due to these illnesses, necessitating the development of new preventive measures. Presently, the existing cholera vaccine demonstrates an effectiveness of approximately 60%. Here we describe a new multi-epitope vaccine, 'vme-VAC/MST-1' based on vaccine targets identified by reverse vaccinology and epitopes predicted by immunoinformatics, two currently effective tools for predicting new vaccines for bacterial pathogens. The vaccine was designed to combat vibriosis and cholera by incorporating epitopes predicted for CTL, HTL, and B cells. These epitopes were identified from six vaccine targets revealed through subtractive genomics, combined with reverse vaccinology, and were further filtered using immunoinformatics approaches based on their predicted immunogenicity. To construct the vaccine, 28 epitopes (24 CTL/B and 4 HTL/B) were linked to the sequence of the cholera toxin B subunit adjuvant. In silico analyses indicate that the resulting immunogen is stable, soluble, non-toxic, and non-allergenic. Furthermore, it exhibits no homology to the host and demonstrates a strong capacity to elicit innate, B-cell, and T-cell immune responses. Our analysis suggests that it is likely to elicit immune reactions mediated through the TLR5 pathway, as evidenced by the molecular docking of the vaccine with the receptor, which revealed high affinity and a favorable reaction. Thus, vme-VAC/MST-1 is predicted to be a safe and effective solution against pathogenic Vibrio spp. However, further experimental analyses are required to measure the vaccine's effects In vivo.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Pedro Henrique Marques
- Institute of Biological Sciences, Post-graduate Interunits Program in Bioinformatics, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
- Department of Preventive Veterinary Medicine, School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Thais Cristina Vilela Rodrigues
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Eduardo Horta Santos
- Institute of Biological Sciences, Post-graduate Interunits Program in Bioinformatics, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
- Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Lucas Bleicher
- Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Flavia Figueira Aburjaile
- Department of Preventive Veterinary Medicine, School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Flaviano S Martins
- Department of Microbiology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Carlo Jose Freire Oliveira
- Department of Microbiology, Immunology and Parasitology, Institute of Biological Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Vasco Azevedo
- Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Sandeep Tiwari
- Institute of Biology, Federal University of Bahia, Salvador, BA, Brazil
- Institute of Health Sciences, Federal University of Bahia, Salvador, BA, Brazil
| | - Siomar Soares
- Department of Microbiology, Immunology and Parasitology, Institute of Biological Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
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Sulfianti A, Karimah N, Nurhasanah A. In silico analysis of HLA-1 and HLA-2 recognition of a designed recombinant human papillomavirus vaccine based on L1 protein HPV subtype 45. J Genet Eng Biotechnol 2023; 21:167. [PMID: 38091180 PMCID: PMC10719189 DOI: 10.1186/s43141-023-00593-8] [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: 07/11/2022] [Accepted: 11/06/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Human leukocyte antigen (HLA) can bind and present the processed antigenic peptide derived from the vaccine to the T cell receptor, and this capability is crucial in determining the effectivity of the vaccine to terminate virus-infected cells, activate macrophages, and induce B cells to produce antibodies. A recombinant vaccine candidate based on protein L1 HPV45 was designed and analysed whether it is recognisable by T cells through the binding of their epitopes to HLAs. METHODS The study consisted of two parts: part one was the analysis of the L1 recombinant protein binding to HLA-1 and 2 epitopes, whereas part two was the distribution analysis of HPV-linked HLA allele. HLA allele sets found at high frequency in the general population and in specific Indonesian population were listed for the binding analysis of the recombinant L1 HPV45 protein. In part one, immunoepitope servers from IEDB were used to predict the binding of the designed proteins to HLA alleles. The prediction method for MHC-I binding prediction was the NetMHCpan EL 4.1 whilst for MHC-II binding prediction was the Consensus approach. Antigenicity analysis for each peptide was conducted using VaxiJen 2.0 with the threshold 1.0 to select the highly antigenic peptides, and positions of these epitopes in the secondary and tertiary structure of the recombinant protein were also predicted. The percent population coverage of the alleles capable of binding to these epitopes worldwide was also estimated. In part two, the worldwide distribution and frequency of HPV-related HLA-1 and 2 were studied. RESULT Two highly antigenic peptides (EEYDLQFIF and KLKFWTVDLK) were recognised by high-frequency HLA-1 alleles in both, the general and Western Javanese. In addition to these two epitopes, a few more peptides are also recognised by the high-frequency Western Javanese HLA-1 alleles, which are not in Weiskopf's list of high-frequency HLA-1 alleles in the general population. Analysis of the highly antigenic epitopes binding to HLA-DRB1 alleles in general (YIKGTSANM) and Western Javanese (LRRRPTIGP) populations showed that these peptide cores associate to HLA-DRB1*04, albeit the different sub-types, due to the presence of different allele in each population group. Analysis of the epitopes and the positive binding alleles showed on average 25.65% population coverage. CONCLUSION The recombinant vaccine candidate based on protein L1 HPV45 is presumed to contain highly antigenic peptides that can bind to high-frequency HLA-1 and 2 alleles present in general and Western Javanese populations. It was expected that the protein is capable of eliciting T cell-mediated responses in both populations; however, in vitro study is needed to prove the protectiveness of the designed recombinant protein.
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Affiliation(s)
- Asri Sulfianti
- Centre for Vaccine and Drug Research, National Research and Innovation Agency Republic of Indonesia, LAPTIAB 1, Gedung 611, Kawasan Puspiptek Serpong, Tangerang Selatan, Banten, 15314, Indonesia
| | - Nihayatul Karimah
- Centre for Vaccine and Drug Research, National Research and Innovation Agency Republic of Indonesia, LAPTIAB 1, Gedung 611, Kawasan Puspiptek Serpong, Tangerang Selatan, Banten, 15314, Indonesia
| | - Astutiati Nurhasanah
- Centre for Vaccine and Drug Research, National Research and Innovation Agency Republic of Indonesia, LAPTIAB 1, Gedung 611, Kawasan Puspiptek Serpong, Tangerang Selatan, Banten, 15314, Indonesia.
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73
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Hossen MS, Hasan MN, Haque M, Al Arian T, Halder SK, Uddin MJ, Abdullah-Al-Mamun M, Shakil MS. Immunoinformatics-aided rational design of multiepitope-based peptide vaccine (MEBV) targeting human parainfluenza virus 3 (HPIV-3) stable proteins. J Genet Eng Biotechnol 2023; 21:162. [PMID: 38055114 DOI: 10.1186/s43141-023-00623-5] [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: 07/14/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Human parainfluenza viruses (HPIVs) are common RNA viruses responsible for respiratory tract infections. Human parainfluenza virus 3 (HPIV-3) is particularly pathogenic, causing severe illnesses with no effective vaccine or therapy available. RESULTS The current study employed a systematic immunoinformatic/reverse vaccinology approach to design a multiple epitope-based peptide vaccine against HPIV-3 by analyzing the virus proteome. On the basis of a number of therapeutic features, all three stable and antigenic proteins with greater immunological relevance, namely matrix protein, hemagglutinin neuraminidase, and RNA-directed RNA polymerase L, were chosen for predicting and screening suitable T-cell and B-cell epitopes. All of our desired epitopes exhibited no homology with human proteins, greater population coverage (99.26%), and high conservancy among reported HPIV-3 isolates worldwide. All of the T- and B-cell epitopes are then joined by putative ligands, yielding a 478-amino acid-long final construct. Upon computational refinement, validation, and thorough screening, several programs rated our peptide vaccine as biophysically stable, antigenic, allergenic, and non-toxic in humans. The vaccine protein demonstrated sufficiently stable interaction as well as binding affinity with innate immune receptors TLR3, TLR4, and TLR8. Furthermore, codon optimization and virtual cloning of the vaccine sequence in a pET32a ( +) vector showed that it can be readily expressed in the bacterial system. CONCLUSION The in silico designed HPIV-3 vaccine demonstrated potential in evoking an effective immune response. This study paves the way for further preclinical and clinical evaluation of the vaccine, offering hope for a future solution to combat HPIV-3 infections.
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Affiliation(s)
- Md Sakib Hossen
- Department of Biochemistry and Molecular Biology, Primeasia University, Banani, Dhaka, 1213, Bangladesh.
- Division of Computer Aided Drug Design, BioAid, Mirpur, Dhaka, 1216, Bangladesh.
| | - Md Nazmul Hasan
- Division of Computer Aided Drug Design, BioAid, Mirpur, Dhaka, 1216, Bangladesh.
- Department of Biochemistry and Molecular Biology, Hajee Mohammad Danesh Science and Technology University, Dinajpur, 5200, Bangladesh.
| | - Munima Haque
- Biotechnology Program, Department of Mathematics and Natural Sciences (MNS), Brac University, kha-208, 1 Bir Uttam Rafiqul Islam Ave, Dhaka, 1212, Bangladesh
| | - Tawsif Al Arian
- Department of Pharmacy, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh
| | - Sajal Kumar Halder
- Department of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh
| | - Md Jasim Uddin
- Department of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh
| | - M Abdullah-Al-Mamun
- Department of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh
| | - Md Salman Shakil
- Division of Computer Aided Drug Design, BioAid, Mirpur, Dhaka, 1216, Bangladesh
- Microbiology Program, Department of Mathematics and Natural Sciences (MNS), Brac University, 66 Mohakhali, Dhaka, 1212, Bangladesh
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Mahnoor I, Shabbir H, Nawaz S, Aziz K, Aziz U, Khalid K, Irum S, Andleeb S. Characterization of exclusively non-commensal Neisseria gonorrhoeae pangenome to prioritize globally conserved and thermodynamically stable vaccine candidates using immune-molecular dynamic simulations. Microb Pathog 2023; 185:106439. [PMID: 37944674 DOI: 10.1016/j.micpath.2023.106439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/19/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
Neisseria gonorrhoeae (Ngo) has emerged as a global threat leading to one of the most common sexually transmitted diseases in the world. It has also become one of the leading antimicrobial resistant organisms, resulting in fewer treatment options and an increased morbidity. Therefore, in recent years, there has been an increased focus on the development of new treatments and preventive strategies to combat its infection. In this study, we have combined the most conserved epitopes from the completely assembled strains of Ngo to develop a universal and a thermodynamically stable vaccine candidate. For our vaccine design, the epitopes were selected for their high immunogenicity, non-allergenicity and non-cytotoxicity, making them the ideal candidates for vaccine development. For the screening process, several reverse vaccinology tools were employed to rigorously extract non-homologous and immunogenic epitopes from the selected proteins. Consequently, a total number of 3 B-cell epitopes and 6 T-cell epitopes were selected and joined by multiple immune-modulating adjuvants and linkers to generate a promiscuous immune response. Additionally, the stability and flexible nature of the vaccine construct was confirmed using various molecular dynamic simulation tools. Overall, the vaccine candidate showed promising binding affinity to various HLA alleles and TLR receptors; however, further studies are needed to assess its efficacy in-vivo. In this way, we have designed a multi-subunit vaccine candidate to potentially combat and control the spread of N. gonorrhoeae.
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Affiliation(s)
- Iqra Mahnoor
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
| | - Hamna Shabbir
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
| | - Shabana Nawaz
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
| | - Kinza Aziz
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
| | - Ubair Aziz
- School of Interdisciplinary Engineering & Sciences National University of Science and Technology, Islamabad, Pakistan.
| | - Kashaf Khalid
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
| | - Sidra Irum
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
| | - Saadia Andleeb
- Atta-ur-Rehman School of Biosciences, National University of Science and Technology, Islamabad, Pakistan.
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75
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Mao Y, Xiao X, Zhang J, Mou X, Zhao W. Designing a multi-epitope vaccine against Peptostreptococcus anaerobius based on an immunoinformatics approach. Synth Syst Biotechnol 2023; 8:757-770. [PMID: 38099061 PMCID: PMC10720267 DOI: 10.1016/j.synbio.2023.11.004] [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: 08/10/2023] [Revised: 10/15/2023] [Accepted: 11/15/2023] [Indexed: 12/17/2023] Open
Abstract
Peptostreptococcus anaerobius is an anaerobic bacterium, which has been found selectively en-riched in the fecal and mucosal microbiota of colorectal cancer (CRC) patients. Emerging evidence suggest P. anaerobius may contribute to the development of CRC in human. In this study, we designed a multi-epitope chimeric vaccine against P. anaerobius PCWBR2, a recently identified adhesin that interacts directly with colon cell lines by binding α2/β1 integrin frequently overexpressed in human CRC tumors and cell lines. Immunoinformatics tools predicted six cytotoxic T lymphocyte epitopes, five helper T lymphocyte epitopes, and six linear B lymphocyte epitopes. The predicted epitopes were joined with AAY or GPGPG linkers and a previously reported TLR4 agonist was added to the vaccine construct's N terminal as an adjuvant using EAAAK linkers and the order of epitopes was optimized. Further in silico analysis revealed that the vaccine construct possesses satisfactory antigenicity, allergenicity, solubility, physicochemical properties, adjuvant-TLR4 molecular docking, and immune profile characteristics. Our study provided a promising design for vaccines against P. anaerobius.
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Affiliation(s)
- Yudan Mao
- Shenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Xianzun Xiao
- Shenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Jie Zhang
- Shenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Xiangyu Mou
- Shenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Wenjing Zhao
- Shenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
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Zhu F, Ma S, Wen H, Rao M, Zhang P, Peng W, Cui Y, Yang H, Tan C, Chen J, Pan P. Development of a novel circular mRNA vaccine of six protein combinations against Staphylococcus aureus. J Biomol Struct Dyn 2023; 41:10525-10545. [PMID: 36533395 DOI: 10.1080/07391102.2022.2154846] [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: 08/22/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022]
Abstract
Staphylococcus aureus is an extraordinarily versatile pathogen, which is currently the most common cause of nosocomial and community infections. Considering that increased antibiotic resistance may hasten the spread of S. aureus, developing an effective vaccine can possibly aid in its control. The RNA vaccine coding immunodominance epitopes from bacteria provide a potential method to induce T and B cell immune responses by translating them into cells. Furthermore, using bioinformatics to create circular RNA vaccines can ensure that the translation of the vaccine is potent and durable. In this study, 7 cytotoxic T lymphocyte (CTL) epitopes, 4 helper T lymphocyte (HTL) epitopes, and 15 B cell epitopes from 6 proteins that are closely associated with the S. aureus virulence and invasion and critical to natural immune responses were mapped. To verify their interactions, all epitopes were docked with the corresponding MHC alleles. The final vaccine was composed of 26 epitopes and the adjuvant β-defencin, and a disulfide bond was also introduced to improve its stability. After the prediction of structure and characteristics, the developed vaccine was docked with TLR2 and TLR4, which induce immunological responses in S. aureus infection. According to the molecular dynamic simulation, the vaccine might interact strongly with TLRs. Meanwhile, it performed well in immunological simulation and population coverage prediction. Finally, the vaccine was converted into a circular RNA using a series of helper sequences to aid in vaccine circulation translation. Hopefully, this proposed structure will be proven to serve a viable vaccine against S. aureus.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Fei Zhu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Shiyang Ma
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Haicheng Wen
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Mingjun Rao
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Peipei Zhang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Wenzhong Peng
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Yanhui Cui
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Hang Yang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Caixia Tan
- Department of Infection Control Center of Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Chen
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
| | - Pinhua Pan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, P.R. China
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77
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Kumari S, Kessel A, Singhal D, Kaur G, Bern D, Lemay-St-Denis C, Singh J, Jain S. Computational identification of a multi-peptide vaccine candidate in E2 glycoprotein against diverse Hepatitis C virus genotypes. J Biomol Struct Dyn 2023; 41:11044-11061. [PMID: 37194293 DOI: 10.1080/07391102.2023.2212777] [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: 06/15/2022] [Accepted: 12/11/2022] [Indexed: 05/18/2023]
Abstract
Hepatitis C Virus (HCV) is estimated to affect nearly 180 million people worldwide, culminating in ∼0.7 million yearly casualties. However, a safe vaccine against HCV is not yet available. This study endeavored to identify a multi-genotypic, multi-epitopic, safe, and globally competent HCV vaccine candidate. We employed a consensus epitope prediction strategy to identify multi-epitopic peptides in all known envelope glycoprotein (E2) sequences, belonging to diverse HCV genotypes. The obtained peptides were screened for toxicity, allergenicity, autoimmunity and antigenicity, resulting in two favorable peptides viz., P2 (VYCFTPSPVVVG) and P3 (YRLWHYPCTV). Evolutionary conservation analysis indicated that P2 and P3 are highly conserved, supporting their use as part of a designed multi-genotypic vaccine. Population coverage analysis revealed that P2 and P3 are likely to be presented by >89% Human Leukocyte Antigen (HLA) molecules from six geographical regions. Indeed, molecular docking predicted the physical binding of P2 and P3 to various representative HLAs. We designed a vaccine construct using these peptides and assessed its binding to toll-like receptor 4 (TLR-4) by molecular docking and simulation. Subsequent analysis by energy-based and machine learning tools predicted high binding affinity and pinpointed the key binding residues (i.e. hotspots) in P2 and P3. Also, a favorable immunogenic profile of the construct was predicted by immune simulations. We encourage the scientific community to validate our vaccine construct in vitro and in vivo.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Shweta Kumari
- University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India
| | - Amit Kessel
- Department of Biochemistry and Molecular Biology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Divya Singhal
- University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India
| | - Gurpreet Kaur
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, Punjab, India
| | - David Bern
- Department of Biochemistry and Molecular Biology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Claudèle Lemay-St-Denis
- Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC, Canada
- PROTEO, The Québec Network for Research on Protein, Function, Engineering and Applications, Québec, QC, Canada
- CGCC, Center in Green Chemistry and Catalysis, Montréal, QC, Canada
| | - Jasdeep Singh
- University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India
| | - Sahil Jain
- University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India
- Department of Biochemistry and Molecular Biology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
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78
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Mohapatra S, Kumar S, Kumar S, Singh AK, Nayak B. Immunodominant conserved moieties on spike protein of SARS-CoV-2 renders virulence factor for the design of epitope-based peptide vaccines. Virusdisease 2023; 34:456-482. [PMID: 38046066 PMCID: PMC10686954 DOI: 10.1007/s13337-023-00852-9] [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: 05/15/2023] [Accepted: 11/03/2023] [Indexed: 12/05/2023] Open
Abstract
The outbreak of novel SARS-CoV-2 virion has wreaked havoc with a high prevalence of respiratory illness and high transmission due to a vague understanding of the viral antigenicity, augmenting the dire challenge to public health globally. This viral member necessitates the expansion of diagnostic and therapeutic tools to track its transmission and confront it through vaccine development. Therefore, prophylactic strategies are mandatory. Virulent spike proteins can be the most desirable candidate for the computational design of vaccines targeting SARS-CoV-2, followed by the meteoric development of immune epitopes. Spike protein was characterized using existing bioinformatics tools with a unique roadmap related to the immunological profile of SARS-CoV-2 to predict immunogenic virulence epitopes based on antigenicity, allergenicity, toxicity, immunogenicity, and population coverage. Applying in silico approaches, a set of twenty-four B lymphocyte-based epitopes and forty-six T lymphocyte-based epitopes were selected. The predicted epitopes were evaluated for their intrinsic properties. The physico-chemical characterization of epitopes qualifies them for further in vitro and in vivo analysis and pre-requisite vaccine development. This study presents a set of screened epitopes that bind to HLA-specific allelic proteins and can be employed for designing a peptide vaccine construct against SARS-CoV-2 that will confer vaccine-induced protective immunity due to its structural stability. Supplementary Information The online version contains supplementary material available at 10.1007/s13337-023-00852-9.
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Affiliation(s)
- Subhashree Mohapatra
- Immunology and Molecular Medicine Laboratory, Department of Life Science, National Institute of Technology Rourkela, Rourkela, Odisha 769008 India
| | - Santosh Kumar
- RNA Biology Laboratory, Department of Life Science, National Institute of Technology Rourkela, Rourkela, Odisha 769008 India
| | - Shashank Kumar
- Molecular Signalling and Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda, Punjab 151401 India
| | - Atul Kumar Singh
- Molecular Signalling and Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda, Punjab 151401 India
| | - Bismita Nayak
- Immunology and Molecular Medicine Laboratory, Department of Life Science, National Institute of Technology Rourkela, Rourkela, Odisha 769008 India
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79
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Ramprasadh SV, Rajakumar S, Srinivasan S, Susha D, Sharma S, Chourasiya R. Computer-Aided Multi-Epitope Based Vaccine Design Against Monkeypox Virus Surface Protein A30L: An Immunoinformatics Approach. Protein J 2023; 42:645-663. [PMID: 37615828 DOI: 10.1007/s10930-023-10150-4] [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] [Accepted: 08/05/2023] [Indexed: 08/25/2023]
Abstract
Monkeypox, a viral zoonotic disease resembling smallpox, has emerged as a significant national epidemic primarily in Africa. Nevertheless, the recent global dissemination of this pathogen has engendered apprehension regarding its capacity to metamorphose into a sweeping pandemic. To effectively combat this menace, a multi-epitope vaccine has been meticulously engineered with the specific aim of targeting the cell envelope protein of Monkeypox virus (MPXV), thereby stimulating a potent immunological response while mitigating untoward effects. This new vaccine uses T-cell and B-cell epitopes from a highly antigenic, non-allergenic, non-toxic, conserved, and non-homologous A30L protein to provide protection against the virus. In order to ascertain the vaccine design with the utmost efficacy, protein-protein docking methodologies were employed to anticipate the intricate interactions with Toll-like receptors (TLR) 2, 3, 4, 6, and 8. This meticulous approach led the researchers to discern an optimal vaccine architecture, bolstered by affirmative prognostications derived from both molecular dynamics (MD) simulations and immune simulations. The current research findings indicate that the peptides ATHAAFEYSK, FFIVVATAAV, and MNSLSIFFV exhibited antigenic properties and were determined to be non-allergenic and non-toxic. Through the utilization of codon optimization and in-silico cloning techniques, our investigation revealed that the prospective vaccine exhibited a remarkable expression level within Escherichia coli. Moreover, upon conducting immune simulations, we observed the induction of a robust immune response characterized by elevated levels of both B-cell and T-cell mediated immunity. Moreover, as the initial prediction with in-silico techniques has yielded promising results these epitope-based vaccines can be recommended to in vitro and in silico studies to validate their immunogenic properties.
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Affiliation(s)
- S V Ramprasadh
- Department of Bioinformatics, BioNome, Bangalore, 560043, India
| | | | - S Srinivasan
- Department of Bioinformatics, BioNome, Bangalore, 560043, India
| | - D Susha
- Department of Bioinformatics, BioNome, Bangalore, 560043, India
| | - Sameer Sharma
- Department of Bioinformatics, BioNome, Bangalore, 560043, India.
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80
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G P, Rathi B, Santoshi S. Translational and structural vaccinomics approach to design a multi-epitope vaccine against NOL4 autologous antigen of small cell lung cancer. Immunol Res 2023; 71:909-928. [PMID: 37410306 DOI: 10.1007/s12026-023-09404-1] [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: 02/24/2023] [Accepted: 06/22/2023] [Indexed: 07/07/2023]
Abstract
Small cell lung cancer (SCLC) is one of the most common cancers and it is the sixth common cause for cancer-related deaths. The high plasticity and metastasis have been a major challenge for humanity to treat the disease. Hence, a vaccine for SCLC has become an urgent need of the hour due to public health concern. Implementation of immunoinformatics technique is one of the best way to find a suitable vaccine candidate. Immunoinformatics tools can be used to overcome the limitations and difficulties of traditional vaccinological techniques. Multi-epitope cancer vaccines have become a next-generation technique in vaccinology which can be used to stimulate more potent immune response against a particular antigen by eliminating undesirable molecules. In this study, we used multiple computational and immunoinformatics approach to design a novel multi-epitope vaccine for small cell lung cancer. Nucleolar protein 4 (NOL4) is an autologous cancer-testis antigen overexpressed in SCLC cells. Seventy-five percent humoral immunity have been identified for this particular antigen. In this study, we mapped immunogenic cytotoxic T lymphocyte, helper T lymphocyte, and interferon-gamma epitopes present in NOL4 antigen and designed a multi-epitope-based vaccine using the predicted epitopes. The designed vaccine was antigenic, non-allergenic, and non-toxic with 100% applicability on human population. The chimeric vaccine construct showed stable and significant interaction with endosomal and plasmalemmal toll-like receptors in molecular docking and protein-peptide interaction analysis, thus assuring a strong potent immune response against the vaccine upon administration. Therefore, these preliminary results can be used to carry out further experimental investigations.
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Affiliation(s)
- Pavithran G
- Amity Institute of Microbial Technology, Amity University Uttar Pradesh, Noida, India
| | - Bhawna Rathi
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.
| | - Seneha Santoshi
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
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81
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Ali SL, Ali A, Alamri A, Baiduissenova A, Dusmagambetov M, Abduldayeva A. Genomic annotation for vaccine target identification and immunoinformatics-guided multi-epitope-based vaccine design against Songling virus through screening its whole genome encoded proteins. Front Immunol 2023; 14:1284366. [PMID: 38090579 PMCID: PMC10715409 DOI: 10.3389/fimmu.2023.1284366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/01/2023] [Indexed: 12/18/2023] Open
Abstract
Songling virus (SGLV), a newly discovered tick-borne orthonairovirus, was recently identified in human spleen tissue. It exhibits cytopathic effects in human hepatoma cells and is associated with clinical symptoms including headache, fever, depression, fatigue, and dizziness, but no treatments or vaccines exist for this pathogenic virus. In the current study, immunoinformatics techniques were employed to identify potential vaccine targets within SGLV by comprehensively analyzing SGLV proteins. Four proteins were chosen based on specific thresholds to identify B-cell and T-cell epitopes, validated through IFN-γ epitopes. Six overlap MHC-I, MHC-II, and B cell epitopes were chosen to design a comprehensive vaccine candidate, ensuring 100% global coverage. These structures were paired with different adjuvants for broader protection against international strains. Vaccine constructions' 3D models were high-quality and validated by structural analysis. After molecular docking, SGLV-V4 was selected for further research due to its lowest binding energy (-66.26 kcal/mol) and its suitable immunological and physiochemical properties. The vaccine gene is expressed significantly in E. coli bacteria through in silico cloning. Immunological research and MD simulations supported its molecular stability and robust immune response within the host cell. These findings can potentially be used in designing safer and more effective experimental SGLV-V4 vaccines.
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Affiliation(s)
- S. Luqman Ali
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Awais Ali
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Abdulaziz Alamri
- Department of Biochemistry, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Aliya Baiduissenova
- Department of Microbiology and Virology, Astana Medical University, Astana, Kazakhstan
| | - Marat Dusmagambetov
- Department of Microbiology and Virology, Astana Medical University, Astana, Kazakhstan
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82
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Aiman S, Ahmad A, Khan A, Ali Y, Malik A, Alkholief M, Akhtar S, Khan RS, Li C, Jalil F, Ali Y. Vaccinomics-aided next-generation novel multi-epitope-based vaccine engineering against multidrug resistant Shigella Sonnei: Immunoinformatics and chemoinformatics approaches. PLoS One 2023; 18:e0289773. [PMID: 37992050 PMCID: PMC10664945 DOI: 10.1371/journal.pone.0289773] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 07/25/2023] [Indexed: 11/24/2023] Open
Abstract
Shigella sonnei is a gram-negative bacterium and is the primary cause of shigellosis in advanced countries. An exceptional rise in the prevalence of the disease has been reported in Asia, the Middle East, and Latin America. To date, no preventive vaccine is available against S. sonnei infections. This pathogen has shown resistances towards both first- and second-line antibiotics. Therefore, an effective broad spectrum vaccine development against shigellosis is indispensable. In the present study, vaccinomics-aided immunoinformatics strategies were pursued to identify potential vaccine candidates from the S. sonnei whole proteome data. Pathogen essential proteins that are non-homologous to human and human gut microbiome proteome set, are feasible candidates for this purpose. Three antigenic outer membrane proteins were prioritized to predict lead epitopes based on reverse vaccinology approach. Multi-epitope-based chimeric vaccines was designed using lead B- and T-cell epitopes combined with suitable linker and adjuvant peptide sequences to enhance immune responses against the designed vaccine. The SS-MEVC construct was prioritized based on multiple physicochemical, immunological properties, and immune-receptors docking scores. Immune simulation analysis predicted strong immunogenic response capability of the designed vaccine construct. The Molecular dynamic simulations analysis ensured stable molecular interactions of lead vaccine construct with the host receptors. In silico restriction and cloning analysis predicted feasible cloning capability of the SS-MEVC construct within the E. coli expression system. The proposed vaccine construct is predicted to be more safe, effective and capable of inducing robust immune responses against S. sonnei infections and may be worthy of examination via in vitro/in vivo assays.
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Affiliation(s)
- Sara Aiman
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Abbas Ahmad
- Department of Biotechnology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan
| | - Asifullah Khan
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan
| | - Yasir Ali
- National Center for Bioinformatics, Quaid-i-Azam University Islamabad, Islamabad, Pakistan
| | - Abdul Malik
- Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Musaed Alkholief
- Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Suhail Akhtar
- A.T. Still University of Health Sciences, Kirksville, Missouri, United States of America
| | - Raham Sher Khan
- Department of Biotechnology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan
| | - Chunhua Li
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Fazal Jalil
- Department of Biotechnology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan
| | - Yasir Ali
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, Hong Kong
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83
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Hoenisch Gravel N, Nelde A, Bauer J, Mühlenbruch L, Schroeder SM, Neidert MC, Scheid J, Lemke S, Dubbelaar ML, Wacker M, Dengler A, Klein R, Mauz PS, Löwenheim H, Hauri-Hohl M, Martin R, Hennenlotter J, Stenzl A, Heitmann JS, Salih HR, Rammensee HG, Walz JS. TOF IMS mass spectrometry-based immunopeptidomics refines tumor antigen identification. Nat Commun 2023; 14:7472. [PMID: 37978195 PMCID: PMC10656517 DOI: 10.1038/s41467-023-42692-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 10/18/2023] [Indexed: 11/19/2023] Open
Abstract
T cell recognition of human leukocyte antigen (HLA)-presented tumor-associated peptides is central for cancer immune surveillance. Mass spectrometry (MS)-based immunopeptidomics represents the only unbiased method for the direct identification and characterization of naturally presented tumor-associated peptides, a key prerequisite for the development of T cell-based immunotherapies. This study reports on the implementation of ion mobility separation-based time-of-flight (TOFIMS) MS for next-generation immunopeptidomics, enabling high-speed and sensitive detection of HLA-presented peptides. Applying TOFIMS-based immunopeptidomics, a novel extensive benignTOFIMS dataset was generated from 94 primary benign samples of solid tissue and hematological origin, which enabled the expansion of benign reference immunopeptidome databases with > 150,000 HLA-presented peptides, the refinement of previously described tumor antigens, as well as the identification of frequently presented self antigens and not yet described tumor antigens comprising low abundant mutation-derived neoepitopes that might serve as targets for future cancer immunotherapy development.
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Affiliation(s)
- Naomi Hoenisch Gravel
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Annika Nelde
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Jens Bauer
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Lena Mühlenbruch
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - Sarah M Schroeder
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen, Tübingen, Germany
| | - Marian C Neidert
- Neuroscience Center Zürich (ZNZ), University of Zürich and ETH Zürich, Zürich, Switzerland
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zürich, Switzerland
- Department of Neurosurgery, Cantonal Hospital St. Gallen, Zürich, Switzerland
| | - Jonas Scheid
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBIC), University of Tübingen, Tübingen, Germany
| | - Steffen Lemke
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBIC), University of Tübingen, Tübingen, Germany
| | - Marissa L Dubbelaar
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBIC), University of Tübingen, Tübingen, Germany
| | - Marcel Wacker
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Anna Dengler
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Reinhild Klein
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Paul-Stefan Mauz
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen, Tübingen, Germany
| | - Hubert Löwenheim
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen, Tübingen, Germany
| | - Mathias Hauri-Hohl
- Pediatric Stem Cell Transplantation, University Children's Hospital Zürich, Zürich, Switzerland
| | - Roland Martin
- Neuroimmunology and MS Research, Neurology Clinic, University and University Hospital Zürich, Zürich, Switzerland
| | - Jörg Hennenlotter
- Department of Urology, University Hospital Tübingen, Tübingen, Germany
| | - Arnulf Stenzl
- Department of Urology, University Hospital Tübingen, Tübingen, Germany
| | - Jonas S Heitmann
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Hans-Georg Rammensee
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - Juliane S Walz
- Department of Peptide-based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany.
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
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84
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Elalouf A, Kedarya T, Elalouf H, Rosenfeld A. Computational design and evaluation of mRNA- and protein-based conjugate vaccines for influenza A and SARS-CoV-2 viruses. J Genet Eng Biotechnol 2023; 21:120. [PMID: 37966525 PMCID: PMC10651613 DOI: 10.1186/s43141-023-00574-x] [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: 06/02/2023] [Accepted: 10/26/2023] [Indexed: 11/16/2023]
Abstract
BACKGROUND Israel confirmed the first case of "flurona"-a co-infection of seasonal flu (IAV) and SARS-CoV-2 in an unvaccinated pregnant woman. This twindemic has been confirmed in multiple countries and underscores the importance of managing respiratory viral illnesses. RESULTS The novel conjugate vaccine was designed by joining four hemagglutinin, three neuraminidase, and four S protein of B-cell epitopes, two hemagglutinin, three neuraminidase, and four S proteins of MHC-I epitopes, and three hemagglutinin, nine neuraminidase, and five S proteins of MHC-II epitopes with linkers and adjuvants. The constructed conjugate vaccine was found stable, non-toxic, non-allergic, and antigenic with 0.6466 scores. The vaccine contained 14.87% alpha helix, 29.85% extended strand, 9.64% beta-turn, and 45.64% random coil, which was modeled to a 3D structure with 94.7% residues in the most favored region of the Ramachandran plot and Z-score of -3.33. The molecular docking of the vaccine with TLR3 represented -1513.9 kcal/mol of binding energy with 39 hydrogen bonds and 514 non-bonded contacts, and 1.582925e-07 of eigenvalue complex. Immune stimulation prediction showed the conjugate vaccine could activate T and B lymphocytes to produce high levels of Th1 cytokines and antibodies. CONCLUSION The in silico-designed vaccine against IAV and SARS-CoV-2 showed good population coverage and immune response with predicted T- and B-cell epitopes, favorable molecular docking, Ramachandran plot results, and good protein expression. It fulfilled safety criteria, indicating potential for preclinical studies and experimental clinical trials.
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Affiliation(s)
- Amir Elalouf
- Department of Management, Bar-Ilan University, 5290002, Ramat Gan, Israel.
| | - Tomer Kedarya
- Department of Management, Bar-Ilan University, 5290002, Ramat Gan, Israel
| | - Hadas Elalouf
- Information Science Department, Bar-Ilan University, 5290002, Ramat Gan, Israel
| | - Ariel Rosenfeld
- Information Science Department, Bar-Ilan University, 5290002, Ramat Gan, Israel
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Muhammad SA, Guo J, Noor K, Mustafa A, Amjad A, Bai B. Pangenomic and immunoinformatics based analysis of Nipah virus revealed CD4 + and CD8 + T-Cell epitopes as potential vaccine candidates. Front Pharmacol 2023; 14:1290436. [PMID: 38035008 PMCID: PMC10682379 DOI: 10.3389/fphar.2023.1290436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction: Nipah (NiV) is the zoonotic deadly bat-borne virus that causes neurological and respiratory infections which ultimately lead to death. There are 706 infected cases reported up till now especially in Asia, out of which 409 patients died. There is no vaccine and effective treatment available for NiV infections and we have to timely design such strategies as world could not bear another pandemic situation. Methods: In this study, we screened viral proteins of NiV strains based on pangenomics analysis, antigenicity, molecular weight, and sub-cellular localization. The immunoproteomics based approach was used to predict T-cell epitopes of MHC class-I and II as potential vaccine candidates. These epitopes are capable to activate CD4+, CD8+, and T-cell dependent B-lymphocytes. Results: The two surface proteins including fusion glycoprotein (F) and attachment glycoprotein (G) are antigenic with molecular weights of 60 kDa and 67 kDa respectively. Three epitopes of F protein (VNYNSEGIA, PNFILVRNT, and IKMIPNVSN) were ranked and selected based on the binding affinity with MHC class-I, and 3 epitopes (VILNKRYYS, ILVRNTLIS, and VKLQETAEK) with MHC-II molecules. Similarly, for G protein, 3 epitopes each for MHC-I (GKYDKVMPY, ILKPKLISY, and KNKIWCISL) and MHC-II (LRNIEKGKY, FLIDRINWI, and FLLKNKIWC) with substantial binding energies were predicted. Based on the physicochemical properties, all these epitopes are non-toxic, hydrophilic, and stable. Conclusion: Our vaccinomics and system-level investigation could help to trigger the host immune system to prevent NiV infection.
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Affiliation(s)
- Syed Aun Muhammad
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan
| | - Jinlei Guo
- School of Intelligent Medical Engineering, Sanquan College of Xinxiang Medical University, Xinxiang, China
| | - Komal Noor
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan
| | - Aymen Mustafa
- University of Health Sciences Lahore, Lahore, Pakistan
| | - Anam Amjad
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan
| | - Baogang Bai
- School of Information and Technology, Wenzhou Business College, Wenzhou, China
- Zhejiang Province Engineering Research Center of Intelligent Medicine, Wenzhou, China
- The 1st School of Medical, School of Information and Engineering, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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86
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Moten D, Batsalova T, Apostolova D, Mladenova T, Dzhambazov B, Teneva I. In Silico Design of a New Epitope-Based Vaccine against Grass Group 1 Allergens. Adv Respir Med 2023; 91:486-503. [PMID: 37987298 PMCID: PMC10660545 DOI: 10.3390/arm91060036] [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: 08/31/2023] [Revised: 10/09/2023] [Accepted: 11/06/2023] [Indexed: 11/22/2023]
Abstract
Allergic diseases are a global public health problem that affects up to 30% of the population in industrialized societies. More than 40% of allergic patients suffer from grass pollen allergy. Grass pollen allergens of group 1 and group 5 are the major allergens, since they induce allergic reactions in patients at high rates. In this study, we used immunoinformatic approaches to design an effective epitope-based vaccine against the grass group 1 allergens. After the alignment of all known pollen T-cell and B-cell epitopes from pollen allergens available in the public databases, the epitope GTKSEVEDVIPEGWKADTSY was identified as the most suitable for further analyses. The target sequence was subjected to immunoinformatics analyses to predict antigenic T-cell and B-cell epitopes. Population coverage analysis was performed for CD8+ and CD4+ T-cell epitopes. The selected T-cell epitopes (VEDVIPEGW and TKSEVEDVIPEGWKA) covered 78.87% and 98.20% of the global population and 84.57% and 99.86% of the population of Europe. Selected CD8+, CD4+ T-cell and B-cell epitopes have been validated by molecular docking analysis. CD8+ and CD4+ T-cell epitopes showed a very strong binding affinity to major histocompatibility complex (MHC) class I (MHC I) molecules and MHC class II (MHC II) molecules with global energy scores of -72.1 kcal/mol and -89.59 kcal/mol, respectively. The human IgE-Fc (PDB ID 4J4P) showed a lower affinity with B-cell epitope (ΔG = -34.4 kcal/mol), while the Phl p 2-specific human IgE Fab (PDB ID 2VXQ) had the lowest binding with the B-cell epitope (ΔG = -29.9 kcal/mol). Our immunoinformatics results demonstrated that the peptide GTKSEVEDVIPEGWKADTSY could stimulate the immune system and we performed ex vivo tests showed that the investigated epitope activates T cells isolated from patients with grass pollen allergy, but it is not recognized by IgE antibodies specific for grass pollen allergens. This confirms the importance of such studies to establish universal epitopes to serve as a basis for developing an effective vaccine against a particular group of allergens. Further in vivo studies are needed to validate the effectiveness of such a vaccine against grass pollen allergens.
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Affiliation(s)
- Dzhemal Moten
- Department of Developmental Biology, Faculty of Biology, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str., 4000 Plovdiv, Bulgaria; (D.M.); (T.B.); (D.A.); (B.D.)
| | - Tsvetelina Batsalova
- Department of Developmental Biology, Faculty of Biology, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str., 4000 Plovdiv, Bulgaria; (D.M.); (T.B.); (D.A.); (B.D.)
| | - Desislava Apostolova
- Department of Developmental Biology, Faculty of Biology, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str., 4000 Plovdiv, Bulgaria; (D.M.); (T.B.); (D.A.); (B.D.)
| | - Tsvetelina Mladenova
- Department of Botany and Biological Education, Faculty of Biology, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str., 4000 Plovdiv, Bulgaria;
| | - Balik Dzhambazov
- Department of Developmental Biology, Faculty of Biology, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str., 4000 Plovdiv, Bulgaria; (D.M.); (T.B.); (D.A.); (B.D.)
| | - Ivanka Teneva
- Department of Botany and Biological Education, Faculty of Biology, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str., 4000 Plovdiv, Bulgaria;
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Ishwarlall TZ, Adeleke VT, Maharaj L, Okpeku M, Adeniyi AA, Adeleke MA. Multi-epitope vaccine candidates based on mycobacterial membrane protein large (MmpL) proteins against Mycobacterium ulcerans. Open Biol 2023; 13:230330. [PMID: 37935359 PMCID: PMC10645115 DOI: 10.1098/rsob.230330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 09/26/2023] [Indexed: 11/09/2023] Open
Abstract
Buruli ulcer (BU) is a neglected tropical disease. It is caused by the bacterium Mycobacterium ulcerans and is characterized by skin lesions. Several studies were performed testing the Bacillus Calmette-Guérin (BCG) vaccine in human and animal models and M. ulcerans-specific vaccines in animal models. However, there are currently no clinically accepted vaccines to prevent M. ulcerans infection. The aim of this study was to identify T-cell and B-cell epitopes from the mycobacterial membrane protein large (MmpL) proteins of M. ulcerans. These epitopes were analysed for properties including antigenicity, immunogenicity, non-allergenicity, non-toxicity, population coverage and the potential to induce cytokines. The final 8 CD8+, 12 CD4+ T-cell and 5 B-cell epitopes were antigenic, non-allergenic and non-toxic. The estimated global population coverage of the CD8+ and CD4+ epitopes was 97.71%. These epitopes were used to construct five multi-epitope vaccine constructs with different adjuvants and linker combinations. The constructs underwent further structural analyses and refinement. The constructs were then docked with Toll-like receptors. Three of the successfully docked complexes were structurally analysed. Two of the docked complexes successfully underwent molecular dynamics simulations (MDS) and post-MDS analysis. The complexes generated were found to be stable. However, experimental validation of the complexes is required.
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Affiliation(s)
- Tamara Z. Ishwarlall
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Victoria T. Adeleke
- Department of Chemical Engineering, Mangosuthu University of Technology, Umlazi, Durban, South Africa
| | - Leah Maharaj
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Moses Okpeku
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Adebayo A. Adeniyi
- Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, South Africa
- Department of Industrial Chemistry, Federal University Oye Ekiti, Ekiti State, Nigeria
| | - Matthew A. Adeleke
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
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Nelde A, Schuster H, Heitmann JS, Bauer J, Maringer Y, Zwick M, Volkmer JP, Chen JY, Stanger AMP, Lehmann A, Appiah B, Märklin M, Rücker-Braun E, Salih HR, Roerden M, Schroeder SM, Häring MF, Schlosser A, Schetelig J, Schmitz M, Boerries M, Köhler N, Lengerke C, Majeti R, Weissman IL, Rammensee HG, Walz JS. Immune Surveillance of Acute Myeloid Leukemia Is Mediated by HLA-Presented Antigens on Leukemia Progenitor Cells. Blood Cancer Discov 2023; 4:468-489. [PMID: 37847741 PMCID: PMC10618727 DOI: 10.1158/2643-3230.bcd-23-0020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/13/2023] [Accepted: 09/28/2023] [Indexed: 10/19/2023] Open
Abstract
Therapy-resistant leukemia stem and progenitor cells (LSC) are a main cause of acute myeloid leukemia (AML) relapse. LSC-targeting therapies may thus improve outcome of patients with AML. Here we demonstrate that LSCs present HLA-restricted antigens that induce T-cell responses allowing for immune surveillance of AML. Using a mass spectrometry-based immunopeptidomics approach, we characterized the antigenic landscape of patient LSCs and identified AML- and AML/LSC-associated HLA-presented antigens absent from normal tissues comprising nonmutated peptides, cryptic neoepitopes, and neoepitopes of common AML driver mutations of NPM1 and IDH2. Functional relevance of shared AML/LSC antigens is illustrated by presence of their cognizant memory T cells in patients. Antigen-specific T-cell recognition and HLA class II immunopeptidome diversity correlated with clinical outcome. Together, these antigens shared among AML and LSCs represent prime targets for T cell-based therapies with potential of eliminating residual LSCs in patients with AML. SIGNIFICANCE The elimination of therapy-resistant leukemia stem and progenitor cells (LSC) remains a major challenge in the treatment of AML. This study identifies and functionally validates LSC-associated HLA class I and HLA class II-presented antigens, paving the way to the development of LSC-directed T cell-based immunotherapeutic approaches for patients with AML. See related commentary by Ritz, p. 430 . This article is featured in Selected Articles from This Issue, p. 419.
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Affiliation(s)
- Annika Nelde
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Heiko Schuster
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Jonas S. Heitmann
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Jens Bauer
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Yacine Maringer
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Melissa Zwick
- Department of Medicine I, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jens-Peter Volkmer
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
| | - James Y. Chen
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
| | - Anna M. Paczulla Stanger
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Ariane Lehmann
- Faculty of Medicine, Medical Center, Institute of Medical Bioinformatics and Systems Medicine (IBSM), University of Freiburg, Germany
| | - Bismark Appiah
- Faculty of Medicine, Medical Center, Institute of Medical Bioinformatics and Systems Medicine (IBSM), University of Freiburg, Germany
| | - Melanie Märklin
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Elke Rücker-Braun
- Department of Medicine I, University Hospital of Dresden, Dresden, Germany
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
| | - Helmut R. Salih
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Malte Roerden
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Sarah M. Schroeder
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Tübingen, Tübingen, Germany
| | - Max-Felix Häring
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | | | - Johannes Schetelig
- Department of Medicine I, University Hospital of Dresden, Dresden, Germany
- German Bone Marrow Donor Center (DKMS), Clinical Trials Unit, Dresden, Germany
| | - Marc Schmitz
- Institute of Immunology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Melanie Boerries
- Faculty of Medicine, Medical Center, Institute of Medical Bioinformatics and Systems Medicine (IBSM), University of Freiburg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site, Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Natalie Köhler
- Department of Medicine I, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany
| | - Claudia Lengerke
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel, Switzerland
- Clinic for Hematology, University of Basel and University Hospital Basel, Basel, Switzerland
- German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Germany
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Irving L. Weissman
- Institute for Stem Cell Biology and Regenerative Medicine and the Ludwig Cancer Center, Stanford University School of Medicine, Stanford, California
| | - Hans-Georg Rammensee
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Germany
| | - Juliane S. Walz
- Department of Peptide-Based Immunotherapy, University and University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
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Elalouf A, Yaniv-Rosenfeld A. Immunoinformatic-guided designing and evaluating protein and mRNA-based vaccines against Cryptococcus neoformans for immunocompromised patients. J Genet Eng Biotechnol 2023; 21:108. [PMID: 37882985 PMCID: PMC10603020 DOI: 10.1186/s43141-023-00560-3] [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: 06/02/2023] [Accepted: 10/08/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Cryptococcus neoformans is a fungal pathogen that can cause serious meningoencephalitis in individuals with compromised immune systems due to HIV/AIDS (human immunodeficiency virus/acquired immunodeficiency syndrome), liver cirrhosis, and transplantation. Mannoproteins (MPs), glycoproteins in the C. neoformans capsule, crucially impact virulence by mediating adhesion to lung cells and modulating immune response via cytokine induction and phagocytosis influence. Therefore, creating a vaccine that can generate targeted antibodies to fight infection and prevent fungal illnesses is essential. RESULTS This research aims to create a unique, stable, and safe vaccine through bioinformatics methodologies, aiming at epitopes of T and B cells found in the MP of C. neoformans. Based on toxicity, immunogenicity, and antigenicity, this research predicted novel T cells (GNPVGGNVT, NPVGGNVTT, QTSYARLLS, TSVGNGIAS, WVMPGDYTN, AAATGSSSSGSTGSG, GSTGSGSGSAAAGST, SGSTGSGSGSAAAGS, SSGSTGSGSGSAAAG, and SSSGSTGSGSGSAAA) and B cell (ANGSTSTFQQRYTGTYTNGDGSLGTWTQGETVTPQTAYSTPATSNCKTYTSVGNGIASLALSNAGSNSTAAATNSSSGGASAAATGSSSSGSTGSGSGSAAAGSTAAASSSGDSSSSTSAAMSNGI, HGATGLGNPVGGNVTT, TMGPTNPSEPTLGTAI, GNPVGGNVTTNATGSD, and NSTAAATNSSSGGASA) epitopes for a multiple-epitope vaccine and constructed a vaccine subunit with potential immunogenic properties. The present study used four linkers (AAY, GPGPG, KK, and EAAAK linkers) to connect the epitopes and adjuvant. After constructing the vaccine, it was confronted with receptor docking and simulation analysis. Subsequently, the vaccine was cloned into the vector of Escherichia coli pET-28a ( +) by ligation process for the expression using the SnapGene tool, which confirmed a significant immune response. To assess the constructed vaccine's properties, multiple computational tools were employed. Based on the MP sequence, the tools evaluated the antigenicity, immunogenicity, cytokine-inducing capacity, allergenicity, toxicity, population coverage, and solubility. CONCLUSION Eventually, the results revealed a promising multi-epitope vaccine as a potential candidate for addressing global C. neoformans infection, particularly in immunocompromised patients. Yet, additional in vitro and in vivo investigations are necessary to validate its safety and effectiveness.
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Affiliation(s)
- Amir Elalouf
- Department of Management, Bar-Ilan University, Ramat Gan, 5290002, Israel.
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90
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Kumari R S, Sethi G, Krishna R. Development of multi-epitope based subunit vaccine against Mycobacterium Tuberculosis using immunoinformatics approach. J Biomol Struct Dyn 2023:1-20. [PMID: 37880982 DOI: 10.1080/07391102.2023.2270065] [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: 07/04/2023] [Accepted: 10/07/2023] [Indexed: 10/27/2023]
Abstract
The etiological agent of tuberculosis (TB), Mycobacterium tuberculosis, is a deadly pathogen that adapts to thrive within the host. Since 2020, the COVID-19 pandemic has had colossal health, societal, and economic consequences, which have affected the reporting of new incidences and mortality cases of TB. As per the WHO 2022 report, 10.6 million people were diagnosed with TB, and 1.6 million died worldwide. The increase in resistant strains of tuberculosis is making it more burdensome to reach the End TB strategy. A reliable and efficient TB vaccine that may avert both primary infection and recurrence of latent TB in adults and adolescents is of the utmost importance. In this study, we used computational techniques to predict the ability of HLA molecules to display epitopes for six TB proteins (PPE68, PE_PGRS17, EspC, LDT4, RpfD, and RpfC) to design the multi-epitope subunit vaccine. From the aimed proteins, the potential B-cell, helper T lymphocyte (HTL), and cytotoxic T lymphocyte (CTL) epitopes were predicted and linked together with LPA adjuvant, and the vaccine was designed. The vaccine's physicochemical analysis demonstrates that it is non-allergic, non-toxic, and antigenic. Then, the vaccine structure was predicted, improved, and verified to yield the optimal structure. The developed vaccine's binding mechanism with distinct immunogenic receptors (Tlr2 and MHC-II) was assessed utilizing molecular docking. The molecular dynamic simulation and MMPBSA analysis were performed to comprehend the complexes' dynamics and stability. The immune simulation was utilized to anticipate the vaccine's immunogenic attributes. In silico cloning was employed to demonstrate the efficient expression of the designed vaccine in E. coli as a host. Moreover, in vitro and in vivo animal testing is required to determine the efficacy of the in silico developed vaccine.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Savita Kumari R
- Department of Bioinformatics, Pondicherry University, Puducherry, India
| | - Guneswar Sethi
- Department of Bioinformatics, Pondicherry University, Puducherry, India
- Department of Predictive Toxicology, Korea Institute of Toxicology (KIT), Republic of Korea
| | - Ramadas Krishna
- Department of Bioinformatics, Pondicherry University, Puducherry, India
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Bean DJ, Monroe J, Liang YM, Borberg E, Senussi Y, Swank Z, Chalise S, Walt D, Weinberg J, Sagar M. Heterotypic responses against nsp12/nsp13 from prior SARS-CoV-2 infection associates with lower subsequent endemic coronavirus incidence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.23.563621. [PMID: 37961343 PMCID: PMC10634759 DOI: 10.1101/2023.10.23.563621] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Immune responses from prior SARS-CoV-2 infection and COVID-19 vaccination do not prevent re-infections and may not protect against future novel coronaviruses (CoVs). We examined the incidence of and immune differences against human endemic CoVs (eCoV) as a proxy for response against future emerging CoVs. Assessment was among those with known SARS-CoV-2 infection, COVID-19 vaccination but no documented SARS-CoV-2 infection, or neither exposure. Retrospective cohort analyses suggest that prior SARS-CoV-2 infection, but not COVID-19 vaccination alone, protects against subsequent symptomatic eCoV infection. CD8+ T cell responses to the non-structural eCoV proteins, nsp12 and nsp13, were significantly higher in individuals with previous SARS-CoV-2 infection as compared to the other groups. The three groups had similar cellular responses against the eCoV spike and nucleocapsid, and those with prior spike exposure had lower eCoV-directed neutralizing antibodies. Incorporation of non-structural viral antigens in a future pan-CoV vaccine may improve protection against future heterologous CoV infections.
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Affiliation(s)
- David J. Bean
- Department of Virology, Immunology and Microbiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Janet Monroe
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Yan Mei Liang
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Ella Borberg
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Yasmeen Senussi
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Zoe Swank
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Sujata Chalise
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - David Walt
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Janice Weinberg
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Manish Sagar
- Department of Virology, Immunology and Microbiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
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92
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Khalaj-Hedayati A, Moosavi S, Manta O, Helal MH, Ibrahim MM, El-Bahy ZM, Supriyanto G. Identification and In Silico Characterization of a Conserved Peptide on Influenza Hemagglutinin Protein: A New Potential Antigen for Universal Influenza Vaccine Development. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2796. [PMID: 37887946 PMCID: PMC10609762 DOI: 10.3390/nano13202796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 10/28/2023]
Abstract
Antigenic changes in surface proteins of the influenza virus may cause the emergence of new variants that necessitate the reformulation of influenza vaccines every year. Universal influenza vaccine that relies on conserved regions can potentially be effective against all strains regardless of any antigenic changes and as a result, it can bring enormous public health impact and economic benefit worldwide. Here, a conserved peptide (HA288-107) on the stalk domain of hemagglutinin glycoprotein is identified among highly pathogenic influenza viruses. Five top-ranked B-cell and twelve T-cell epitopes were recognized by epitope mapping approaches and the corresponding Human Leukocyte Antigen alleles to T-cell epitopes showed high population coverage (>99%) worldwide. Moreover, molecular docking analysis indicated that VLMENERTL and WTYNAELLV epitopes have high binding affinity to the antigen-binding groove of the HLA-A*02:01 and HLA-A*68:02 molecules, respectively. Theoretical physicochemical properties of the peptide were assessed to ensure its thermostability and hydrophilicity. The results suggest that the HA288-107 peptide can be a promising antigen for universal influenza vaccine design. However, in vitro and in vivo analyses are needed to support and evaluate the effectiveness of the peptide as an immunogen for vaccine development.
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Affiliation(s)
- Atin Khalaj-Hedayati
- Department of Chemistry, Faculty of Science and Technology, Airlangga University, Mulyorejo, Surabaya 60115, Indonesia
- School of Biosciences, Faculty of Health and Medical Sciences, Taylor’s University, Subang Jaya 47500, Malaysia
| | - Seyedehmaryam Moosavi
- Department of Nanotechnology Engineering, Faculty of Advance Technology and Multidiscipline, Airlangga University, Mulyorejo, Surabaya 60115, Indonesia;
| | - Otilia Manta
- Romanian Academy, Victor Slavescu Centre for Financial and Monetary Research, 050731 Bucharest, Romania;
- Romanian Academy, CE-MONT Mountain Economy Center, 725700 Vatra Dornei, Romania
- Research Department, Romanian American University, 012101 Bucharest, Romania
| | - Mohamed H. Helal
- Department of Chemistry, Faculty of Arts and Science, Northern Border University, Rafha 76413, Saudi Arabia;
| | - Mohamed M. Ibrahim
- Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;
| | - Zeinhom M. El-Bahy
- Department of Chemistry, Faculty of Science, Al-Azhar University, Nasr City 11884, Egypt;
| | - Ganden Supriyanto
- Department of Chemistry, Faculty of Science and Technology, Airlangga University, Mulyorejo, Surabaya 60115, Indonesia
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93
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Kumar KM, Karthik Y, Ramakrishna D, Balaji S, Skariyachan S, Murthy TPK, Sakthivel KM, Alotaibi BS, Shukry M, Sayed SM, Mushtaq M. Immunoinformatic exploration of a multi-epitope-based peptide vaccine candidate targeting emerging variants of SARS-CoV-2. Front Microbiol 2023; 14:1251716. [PMID: 37915849 PMCID: PMC10616776 DOI: 10.3389/fmicb.2023.1251716] [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: 07/02/2023] [Accepted: 09/12/2023] [Indexed: 11/03/2023] Open
Abstract
Many countries around the world are facing severe challenges due to the recently emerging variants of SARS-CoV-2. Over the last few months, scientists have been developing treatments, drugs, and vaccines to subdue the virus and prevent its transmission. In this context, a peptide-based vaccine construct containing pathogenic proteins of the virus known to elicit an immune response was constructed. An analysis of the spike protein-based epitopes allowed us to design an "epitope-based subunit vaccine" against coronavirus using the approaches of "reverse vaccinology" and "immunoinformatics." Computational experimentation and a systematic, comprehensive protocol were followed with an aim to develop and design a multi-epitope-based peptide (MEBP) vaccine candidate. Our study attempted to predict an MEBP vaccine by introducing mutations of SARS-CoV-2 (Delta, Lambda, Iota, Omicron, and Kappa) in Spike glycoprotein and predicting dual-purpose epitopes (B-cell and T-cell). This was followed by screening the selected epitopes based on antigenicity, allergenicity, and population coverage and constructing them into a vaccine by using linkers and adjuvants. The vaccine construct was analyzed for its physicochemical properties and secondary structure prediction, and a 3D structure was built, refined, and validated. Furthermore, the peptide-protein interaction of the vaccine construct with Toll-like receptor (TLR) molecules was performed. Immune profiling was performed to check the immune response. Codon optimization of the vaccine construct was performed to obtain the GC content before cloning it into the E. coli genome, facilitating its progression it into a vector. Finally, an in-silico simulation of the vaccine-protein complex was performed to comprehend its stability and conformational behavior.
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Affiliation(s)
- K. M. Kumar
- Department of Bioinformatics, Pondicherry University, Pondicherry, India
| | - Yalpi Karthik
- Department of Studies and Research in Microbiology, Mangalore University, Chikka Aluvara, Kodagu, Karnataka, India
| | - D. Ramakrishna
- Biotechnology Department, Dayananda Sagar College of Engineering, Dr. C.D Sagar Centre for Life Sciences, Dayananda Sagar Institutions, Bengaluru, India
| | - S. Balaji
- Centre for Incubation, Innovation, Research and Consultancy (CIIRC), Jyothy Institute of Technology, Bengaluru, Karnataka, India
| | - Sinosh Skariyachan
- Department of Microbiology, St. Pius X College, Rajapuram, Kerala, India
| | - T. P. Krishna Murthy
- Department of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
| | | | - Badriyah S. Alotaibi
- Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Mustafa Shukry
- Physiology Department, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafrelsheikh, Egypt
| | - Samy M. Sayed
- Department of Economic Entomology and Pesticides, Faculty of Agriculture, Cairo University, Giza, Egypt
- Department of Science and Technology, University College-Ranyah, Taif University, Taif, Saudi Arabia
| | - Muntazir Mushtaq
- MS Swaminathan School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan, Himachal Pradesh, India
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94
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Hafeez S, Achur R, Kiran SK, Thippeswamy NB. Computational prediction of B and T-cell epitopes of Kyasanur Forest Disease virus marker proteins towards the development of precise diagnosis and potent subunit vaccine. J Biomol Struct Dyn 2023; 41:9157-9176. [PMID: 36336957 DOI: 10.1080/07391102.2022.2141882] [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: 12/20/2021] [Accepted: 10/24/2022] [Indexed: 11/09/2022]
Abstract
Kyasanur Forest Disease (KFD), also known as 'monkey fever', caused by KFD Virus (KFDV), is a highly neglected tropical disease endemic to Western Ghat region of Karnataka, India. Recently, KFD, which is fatal for both monkeys and humans with a mortality rate of 2-10% has been found to spread from its epicenter to neighboring districts and states also. The current ELISA based KFD detection method is very non-specific due to cross-reactivity with other flaviviruses. Further, presently available formalin-inactivated vaccine has been found to be less effective leading to disease susceptibility and severity. To address these, the present study was aimed at predicting the potent specific B and T-cell epitopes of KFDV immunogenic marker proteins using diverse computational tools aiming at developing precise diagnostic method and an effective subunit vaccine. Here, we have chosen E, NS1 and NS5 proteins as markers of KFDV by taking into account of their differential and non-overlapping sequences with selected arboviruses. Based on the linear and nonlinear epitope prediction tools and important biophysical parameters, we identified three potential linear and ten nonlinear B-cell epitopes. We also predicted T-cell epitope peptides which binds to MHC class-I and class-II receptors for the effective T-cell activation. Thus, our molecular docking and molecular dynamics simulation analysis has identified six different TH-cell epitopes based on the distribution frequency of MHC-II haplotypes in the human population and one TC-cell epitope from NS5 protein that has maximum interaction with class-I MHC. Overall, we have successfully identified potential B and T-cell epitope marker peptides present in the envelope and two non-structural proteins.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Sayad Hafeez
- Department of PG Studies and Research in Microbiology, Kuvempu University, Shivamogga, India
| | - Rajeshwara Achur
- Department of PG Studies and Research in Biochemistry, Kuvempu University, Shivamogga, India
| | - S K Kiran
- Department of Health and family welfare Government of Karnataka, Virus Diagnostic Laboratory, Shivamogga, India
| | - N B Thippeswamy
- Department of PG Studies and Research in Microbiology, Kuvempu University, Shivamogga, India
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95
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De Groot AS, Roberts BJ, Mattei A, Lelias S, Boyle C, Martin WD. Immunogenicity risk assessment of synthetic peptide drugs and their impurities. Drug Discov Today 2023; 28:103714. [PMID: 37467878 DOI: 10.1016/j.drudis.2023.103714] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/15/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023]
Abstract
Peptide drugs play an important part in medicine owing to their many therapeutic applications. Of the 80 peptide drugs approved for use in humans, at least five are now off-patent and are consequently being developed as generic alternatives to the originator products. To accelerate access to generic products, the FDA has proposed new regulatory pathways that do not require direct comparisons of generics to originators in clinical trials. The 'Abbreviated New Drug Application' (ANDA) pathway recommends that sponsors provide information on any new impurities in the generic drug, compared with the originator product, because the impurities can have potential to elicit unwanted immune responses owing to the introduction of T-cell epitopes. This review describes how peptide drug impurities can elicit unexpected immunogenicity and describes a framework for performing immunogenicity risk assessment of all types of bioactive peptide products. Although this report primarily focuses on generic peptides and their impurities, the approach might also be of interest for developers of novel peptide drugs who are preparing their products for an initial regulatory review.
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Affiliation(s)
- Anne S De Groot
- EpiVax, 188 Valley Street, Suite 424, Providence, RI, USA; University of Georgia, Center for Vaccines and Immunology, Athens, GA USA.
| | | | - Aimee Mattei
- EpiVax, 188 Valley Street, Suite 424, Providence, RI, USA
| | - Sandra Lelias
- EpiVax, 188 Valley Street, Suite 424, Providence, RI, USA
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96
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Farzan M, Farzan M, Mirzaei Y, Aiman S, Azadegan-Dehkordi F, Bagheri N. Immunoinformatics-based multi-epitope vaccine design for the re-emerging monkeypox virus. Int Immunopharmacol 2023; 123:110725. [PMID: 37556996 DOI: 10.1016/j.intimp.2023.110725] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND On May 7, 2022, WHO reported a new monkeypox case. By May 2023 over 80,000 cases had been reported worldwide outside previously endemic nations. (This primarily affected the men who have sex with men (MSM) community in rich nations). The present research aims to develop a multi-epitope vaccine for the monkeypox virus (MPXV) using structural and cell surface proteins. METHODS The first part of the research involved retrieving protein sequences. The Immune Epitope Database (IEDB) was then used to analyze the B and T lymphocyte epitopes. After analyzing the sensitizing properties, toxicity, antigenicity, and molecular binding, appropriate linkers were utilizedto connect selected epitopes to adjuvants, and the structure of the vaccine was formulated. Algorithms from the field of immunoinformatics predicted the secondary and tertiary structures of vaccines. The physical, chemical, and structural properties were refined and validated to achieve maximum stability. Molecular docking and molecular dynamic simulations were subsequently employed to assess the vaccine's efficacy. Afterward, the ability of the vaccine to interact with toll-like receptors 3 and 4 (TLR3 and TLR4) was evaluated. Finally, the optimized sequence was then introduced into the Escherichia coli (E. coli) PET30A + vector. RESULTS An immunoinformatics evaluation suggested that such a vaccine might be safe revealed that this vaccine is safe, hydrophilic, temperature- and condition-stable, and can stimulate innate immunity by binding to TLR3 and TLR4. CONCLUSION Our findings suggest that the first step in MPXV pathogenesis is structural and cell surface epitopes. In this study, the most effective and promising epitopes were selected and designed throughprecision servers. Furthermore,through the utilization of multi-epitope structures and a combination of two established adjuvants, this research has the potential to be a landmarkin developing an antiviralvaccine against MPXV. However, additional in vitro and in vivo tests are required to confirm these results.
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Affiliation(s)
- Mahour Farzan
- Medical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran; Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Mahan Farzan
- Medical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran; Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Yousef Mirzaei
- Department of Medical Biochemical Analysis, Cihan University-Erbil, Kurdistan Region, Iraq
| | - Sara Aiman
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing 100124, China
| | - Fatemeh Azadegan-Dehkordi
- Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
| | - Nader Bagheri
- Clinical Biochemistry Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
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97
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Zeddou M. Class I HLA Allele Predicted Restricted Antigenic Coverages for Fap2 Protein of Fusobacterium Nucleatum Are Associated with Colorectal Cancer Incidence. Asian Pac J Cancer Prev 2023; 24:3629-3636. [PMID: 37898872 PMCID: PMC10770689 DOI: 10.31557/apjcp.2023.24.10.3629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 10/25/2023] [Indexed: 10/30/2023] Open
Abstract
OBJECTIVE This study investigates the association between HLA-A and -B allele diversity, Fusobacterium nucleatum Fap2 protein-derived antigenic coverage, and colorectal cancer (CRC) epidemiology across diverse populations. METHODS We examined 75 HLA-I alleles and explored 698 potential HLA-A and B-restricted Fap2-derived antigens, assessing how 21 countries may respond to these peptides based on their HLA-I distribution frequencies. Additionally, we correlated in-silico predicted Fap2 population coverage with CRC epidemiology. CRC incidence and mortality data were obtained from the Global Cancer Observatory, and HLA-A and HLA-B allele frequencies from the Allele Frequency Net Database. Binding predictions for Fap2 antigens were performed using netMHCpan4, with stringent selection criteria applied to identify relevant peptides. Population coverage was calculated using the IEDB population coverage tool, and data analysis conducted using the R programming language. RESULTS Clustering of HLA-A and -B allele frequencies partially differentiated countries with lower CRC incidence from others. Distinct patterns of Fap2 protein coverage were observed among different populations. interestingly, we found a significant inverse correlation between CRC incidence (p = 0.0037, R = -0.6) and predicted Fap2 antigen coverage, as well as CRC mortality (p = 0.013, R = -0.53). Furthermore, we identified a specific set of Fap2-derived peptides that bind to HLA supertypes, providing a global coverage of 99.04%. CONCLUSION Our population-based study is the first to demonstrate that higher Fap2 coverage is associated with lower CRC incidence, underscoring the potential significance of Fap2-specific CD8+ T cell responses in CRC tumorigenesis.
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Affiliation(s)
- Mustapha Zeddou
- Laboratory of Agro-Industrial and Medical Biotechnology, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, B.P. 523, Béni Mellal, Morocco.
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98
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Ahmed N, Rabaan AA, Alwashmi ASS, Albayat H, Mashraqi MM, Alshehri AA, Garout M, Abduljabbar WA, Yusof NY, Yean CY. Immunoinformatic Execution and Design of an Anti-Epstein-Barr Virus Vaccine with Multiple Epitopes Triggering Innate and Adaptive Immune Responses. Microorganisms 2023; 11:2448. [PMID: 37894106 PMCID: PMC10609278 DOI: 10.3390/microorganisms11102448] [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: 08/05/2023] [Revised: 08/31/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
One of the most important breakthroughs in healthcare is the development of vaccines. The life cycle and its gene expression in the numerous virus-associated disorders must be considered when choosing the target vaccine antigen for Epstein-Barr virus (EBV). The vaccine candidate used in the current study will also be effective against all other herpesvirus strains, based on the conservancy study, which verified that the protein is present in all herpesviruses. From the screening, two B-cell epitopes, four MHC-I, and five MHC-II restricted epitopes were chosen for further study. The refined epitopes indicated 70.59% coverage of the population in Malaysia and 93.98% worldwide. After removing the one toxin (PADRE) from the original vaccine design, it was projected that the new vaccine would not be similar to the human host and would instead be antigenic, immunogenic, non-allergenic, and non-toxic. The vaccine construct was stable, thermostable, soluble, and hydrophilic. The immunological simulation projected that the vaccine candidate would be subject to a long-lasting active adaptive response and a short-lived active innate response. With IgM concentrations of up to 450 cells per mm3 and active B-cell concentrations of up to 400 cells per mm3, the B-cells remain active for a considerable time. The construct also discovered other conformational epitopes, improving its ability to stimulate an immune response. This suggests that, upon injection, the epitope will target the B-cell surface receptors and elicit a potent immune response. Furthermore, the discotope analysis confirmed that our conformational B-cell epitope was not displaced during the design. Lastly, the docking complex was stable and exhibited little deformability under heat pressure. These computational results are very encouraging for future testing of our proposed vaccine, which may potentially help in the management and prevention of EBV infections worldwide.
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Affiliation(s)
- Naveed Ahmed
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia
| | - Ali A. Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
- Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
| | - Ameen S. S. Alwashmi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Hawra Albayat
- Infectious Disease Department, King Saud Medical City, Riyadh 12746, Saudi Arabia
| | - Mutaib M. Mashraqi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia
| | - Ahmad A. Alshehri
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia
| | - Mohammed Garout
- Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia;
| | - Wesam A. Abduljabbar
- Department of Medical Laboratory Sciences, Fakeeh College for Medical Sciences, Jeddah 21461, Saudi Arabia
| | - Nik Yusnoraini Yusof
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
| | - Chan Yean Yean
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
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99
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Li X, Wen H, Xiao X, Ren Z, Tan C, Fu C. Design of a novel multi-epitope vaccine candidate against endometrial cancer using immunoinformatics and bioinformatics approaches. J Biomol Struct Dyn 2023:1-17. [PMID: 37771176 DOI: 10.1080/07391102.2023.2263213] [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: 04/19/2023] [Accepted: 09/18/2023] [Indexed: 09/30/2023]
Abstract
Endometrial cancer (EC) is one of the most common cancers of the female reproductive system. Multi-epitope vaccine may be a promising and effective strategy against EC. In this study, we designed a novel multi-epitope vaccine based on the antigenic proteins PRAME and TMPRSS4 using immunoinformatics and bioinformatics approaches. After a rigorous selection process, 14 cytotoxic T lymphocyte (CTL) epitopes, 6 helper T lymphocyte (HTL) epitopes, and 8 B cell epitopes (BCEs) were finally selected for vaccine construction. To enhance the immunogenicity of the vaccine candidate, the pan HLA DR-binding epitope was included in the vaccine design as an adjuvant. The final vaccine construct had 455 amino acids and a molecular weight of 49.8 kDa, and was predicted to cover 95.03% of the total world population. Docking analysis showed that there were 10 hydrogen bonds and 19 hydrogen bonds in the vaccine-HLA-A*02:01 and vaccine-HLA-DRB1*01:01 complexes, respectively, indicating that the vaccine has a good affinity to MHC molecules. This was further supported by molecular dynamics (MD) simulation. Immune simulation showed that the designed vaccine was able to induce higher levels of immune cell activity, with the secretion of numerous cytokines. The codon adaptation index (CAI) value and GC content of the optimised codon sequences of the vaccine were 0.986 and 54.43%, respectively, indicating that the vaccine has the potential to be highly expressed. The in silico analysis suggested that the designed vaccine may provide a novel therapeutic option for the individualised treatment of EC patients in the future.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Xiaohan Li
- Department of Obstetrics and Gynecology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Haicheng Wen
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan, China
| | - Xiao Xiao
- Department of Obstetrics and Gynecology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhen Ren
- Department of Obstetrics and Gynecology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Caixia Tan
- Department of Infection Control Center of Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chun Fu
- Department of Obstetrics and Gynecology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
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100
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Verma J, Kaushal N, Manish M, Subbarao N, Shakirova V, Martynova E, Liu R, Hamza S, Rizvanov AA, Khaiboullina SF, Baranwal M. Identification of conserved immunogenic peptides of SARS-CoV-2 nucleocapsid protein. J Biomol Struct Dyn 2023:1-17. [PMID: 37750540 DOI: 10.1080/07391102.2023.2260484] [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: 05/21/2023] [Accepted: 09/13/2023] [Indexed: 09/27/2023]
Abstract
The emergence of the new SARS-CoV-2 variants has led to major concern regarding the efficacy of approved vaccines. Nucleocapsid is a conserved structural protein essential for replication of the virus. This study focuses on identifying conserved epitopes on the nucleocapsid (N) protein of SARS-CoV-2. Using 510 unique amino acid sequences of SARS-CoV-2 N protein, two peptides (193 and 215 aa) with 90% conservancy were selected for T cell epitope prediction. Three immunogenic peptides containing multiple T cell epitopes were identified which were devoid of autoimmune and allergic immune response. These peptides were also conserved (100%) in recent Omicron variants reported in Jan-August 2023. HLA analysis reveals that these peptides are predicted as binding to large number of HLA alleles and 71-90% population coverage in six continents. Identified peptides displayed good binding score with both HLA class I and HLA class II molecules in the docking study. Also, a vaccine construct docked with TLR-4 receptor displays strong interaction with 20 hydrogen bonds and molecular simulation analysis reveals that docked complex are stable. Additionally, the immunogenicity of these N protein peptides was confirmed using SARS-CoV-2 convalescent serum samples. We conclude that the identified N protein peptides contain highly conserved and antigenic epitopes which could be used as a target for the future vaccine development against SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Jigyasa Verma
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Neha Kaushal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Manish Manish
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Naidu Subbarao
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Venera Shakirova
- Department of Infectious Diseases, Kazan State Medical Academy, Kazan, Russia
| | - Ekaterina Martynova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Rongzeng Liu
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Shaimaa Hamza
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Albert A Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | | | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
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