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Asadollahi P, Kalani BS. Novel toxin-based mRNA vaccine against Clostridium perfringens using in silico approaches. Toxicon 2024; 238:107584. [PMID: 38185287 DOI: 10.1016/j.toxicon.2023.107584] [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: 09/09/2023] [Revised: 12/03/2023] [Accepted: 12/19/2023] [Indexed: 01/09/2024]
Abstract
Clostridium perfringens is a bacterium that causes gastrointestinal diseases in humans and animals. The several powerful toxins such as alpha toxin (CPA), beta toxin (CPB), enterotoxin (CPE), Epsilon toxin (ETX), and theta toxin, play a major role in its pathogenesis. Traditional vaccine development methods are time-consuming and costly. In silico approaches offer an alternative strategy for designing vaccines by analyzing biological data and predicting immunogenic peptides. In this study, computational tools were utilized to design a RNA vaccine targeting C. perfringens toxins. Toxin protein sequences were retrieved and their linear B-cell, MHCI, and MHCII binding epitopes were predicted. Allergenicity, toxigenicity, and IFN-γ induction were assessed to select non-allergenic, non-toxic, and IFN-γ-inducing epitopes. Molecular docking was performed to identify epitopes that fit within the binding cleft of MHC alleles. A final peptide vaccine construct was designed with selected epitopes separated by a linker sequence. The antigenicity and physicochemical properties of the vaccine were evaluated. Immune response simulation showed enhanced secondary and tertiary immune responses, increased levels of immunoglobulins, cytotoxic T lymphocytes, helper T lymphocytes, macrophage activity, and elevated levels IFN-γ and interleukin-2. Docking analysis was done to assess interactions between the vaccine structure and Toll-like receptors. Codon optimization was performed, and a final RNA vaccine construct was designed. The secondary structure of the RNA vaccine was predicted and validated. Overall, this study demonstrates the potential of in silico approaches for designing an RNA vaccine against C. perfringens toxins, contributing to improved prevention and control of associated diseases.
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Affiliation(s)
- Parisa Asadollahi
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran; Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Behrooz Sadeghi Kalani
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran; Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
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Asadinezhad M, Khoshnood S, Asadollahi P, Ghafourian S, Sadeghifard N, Pakzad I, Zeinivand Y, Omidi N, Hematian A, Kalani BS. Development of innovative multi-epitope mRNA vaccine against Pseudomonas aeruginosa using in silico approaches. Brief Bioinform 2023; 25:bbad502. [PMID: 38189537 PMCID: PMC10772946 DOI: 10.1093/bib/bbad502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/18/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024] Open
Abstract
The rising issue of antibiotic resistance has made treating Pseudomonas aeruginosa infections increasingly challenging. Therefore, vaccines have emerged as a viable alternative to antibiotics for preventing P. aeruginosa infections in susceptible individuals. With its superior accuracy, high efficiency in stimulating cellular and humoral immune responses, and low cost, mRNA vaccine technology is quickly replacing traditional methods. This study aimed to design a novel mRNA vaccine by using in silico approaches against P. aeruginosa. The research team identified five surface and antigenic proteins and selected their appropriate epitopes with immunoinformatic tools. These epitopes were then examined for toxicity, allergenicity and homology. The researchers also checked their presentation and identification by major histocompatibility complex cells and other immune cells through valuable tools like molecular docking. They subsequently modeled a multi-epitope protein and optimized it. The mRNA was analyzed in terms of structure and stability, after which the immune system's response against the new vaccine was simulated. The results indicated that the designed mRNA construct could be an effective and promising vaccine that requires laboratory and clinical trials.
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Affiliation(s)
- Maryam Asadinezhad
- Students Research Committee, Ilam University of Medical Sciences, Ilam, Iran
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Saeed Khoshnood
- Students Research Committee, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Parisa Asadollahi
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Sobhan Ghafourian
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Nourkhoda Sadeghifard
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Iraj Pakzad
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Yasaman Zeinivand
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Nazanin Omidi
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Ali Hematian
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Behrooz Sadeghi Kalani
- Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
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Shafaghi M, Bahadori Z, Madanchi H, Ranjbar MM, Shabani AA, Mousavi SF. Immunoinformatics-aided design of a new multi-epitope vaccine adjuvanted with domain 4 of pneumolysin against Streptococcus pneumoniae strains. BMC Bioinformatics 2023; 24:67. [PMID: 36829109 PMCID: PMC9951839 DOI: 10.1186/s12859-023-05175-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/06/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Streptococcus pneumoniae (Pneumococcus) has remained a leading cause of fatal infections such as pneumonia, meningitis, and sepsis. Moreover, this pathogen plays a major role in bacterial co-infection in patients with life-threatening respiratory virus diseases such as influenza and COVID-19. High morbidity and mortality in over one million cases, especially in very young children and the elderly, are the main motivations for pneumococcal vaccine development. Due to the limitations of the currently marketed polysaccharide-based vaccines, non-serotype-specific protein-based vaccines have received wide research interest in recent years. One step further is to identify high antigenic regions within multiple highly-conserved proteins in order to develop peptide vaccines that can affect various stages of pneumococcal infection, providing broader serotype coverage and more effective protection. In this study, immunoinformatics tools were used to design an effective multi-epitope vaccine in order to elicit neutralizing antibodies against multiple strains of pneumococcus. RESULTS The B- and T-cell epitopes from highly protective antigens PspA (clades 1-5) and PhtD were predicted and immunodominant peptides were linked to each other with proper linkers. The domain 4 of Ply, as a potential TLR4 agonist adjuvant candidate, was attached to the end of the construct to enhance the immunogenicity of the epitope vaccine. The evaluation of the physicochemical and immunological properties showed that the final construct was stable, soluble, antigenic, and non-allergenic. Furthermore, the protein was found to be acidic and hydrophilic in nature. The protein 3D-structure was built and refined, and the Ramachandran plot, ProSA-web, ERRAT, and Verify3D validated the quality of the final model. Molecular docking analysis showed that the designed construct via Ply domain 4 had a strong interaction with TLR4. The structural stability of the docked complex was confirmed by molecular dynamics. Finally, codon optimization was performed for gene expression in E. coli, followed by in silico cloning in the pET28a(+) vector. CONCLUSION The computational analysis of the construct showed acceptable results, however, the suggested vaccine needs to be experimentally verified in laboratory to ensure its safety and immunogenicity.
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Affiliation(s)
- Mona Shafaghi
- grid.486769.20000 0004 0384 8779Department of Medical Biotechnology, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran ,grid.486769.20000 0004 0384 8779Research Center of Biotechnology, Semnan University of Medical Sciences, Semnan, Iran ,grid.420169.80000 0000 9562 2611Department of Bacteriology, Pasteur Institute of Iran, Tehran, Iran
| | - Zohreh Bahadori
- grid.486769.20000 0004 0384 8779Department of Medical Biotechnology, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran ,grid.486769.20000 0004 0384 8779Research Center of Biotechnology, Semnan University of Medical Sciences, Semnan, Iran ,grid.420169.80000 0000 9562 2611Department of Bacteriology, Pasteur Institute of Iran, Tehran, Iran
| | - Hamid Madanchi
- grid.486769.20000 0004 0384 8779Department of Medical Biotechnology, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran ,grid.486769.20000 0004 0384 8779Research Center of Biotechnology, Semnan University of Medical Sciences, Semnan, Iran ,grid.420169.80000 0000 9562 2611Drug Design and Bioinformatics Unit, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Mohammad Mehdi Ranjbar
- grid.418970.3Agricultural Research, Education, and Extension Organization (AREEO), Razi Vaccine and Serum Research Institute, Karaj, Iran
| | - Ali Akbar Shabani
- Department of Medical Biotechnology, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran. .,Research Center of Biotechnology, Semnan University of Medical Sciences, Semnan, Iran.
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Asadollahi P, Sadeghifard N, Kazemian H, Pakzad I, Kalani BS. In silico Study of the Proteins Involved in the Persistence of Brucella spp. Curr Drug Discov Technol 2023; 20:1-13. [PMID: 35929636 DOI: 10.2174/1570163819666220805161821] [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: 10/04/2021] [Revised: 04/27/2022] [Accepted: 05/27/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND One of the major problems with Brucella infections is its tendency to become chronic and recurrent, providing a hindrance to the management of this infection. It has been proposed that chronicity is greatly affected by a phenomenon called persistence in bacteria. Several mechanisms are involved in bacterial persistence, including the type II toxin-antitoxin system, the SOS and oxidative and stringent responses. METHODS In this in silico study, these persistence mechanisms in Brucella spp. were investigated. RESULTS The structure and the interactions between modules involved in these systems were designed, and novel peptides that can interfere with some of these important mechanisms were developed. CONCLUSION Since peptide-based therapeutics are a new and evolving field due to their ease of production, we hope that peptides developed in this study, as well as the information about the structure and interactions of modules of persistence mechanisms, can further be used to design drugs against Brucella persister cells in the hope of restraining the chronic nature of Brucellosis.
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Affiliation(s)
- Parisa Asadollahi
- Department of Microbiology, Faculty of Medicine, Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Nourkhoda Sadeghifard
- Department of Microbiology, Faculty of Medicine, Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Hossein Kazemian
- Department of Microbiology, Faculty of Medicine, Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Iraj Pakzad
- Department of Microbiology, Faculty of Medicine, Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Behrooz Sadeghi Kalani
- Department of Microbiology, Faculty of Medicine, Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
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Engineering Modified mRNA-Based Vaccine against Dengue Virus Using Computational and Reverse Vaccinology Approaches. Int J Mol Sci 2022; 23:ijms232213911. [PMID: 36430387 PMCID: PMC9698390 DOI: 10.3390/ijms232213911] [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: 10/10/2022] [Revised: 11/07/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
Abstract
Dengue virus belonging to the family Flaviviridae and its four serotypes are responsible for dengue infections, which extend over 60 countries in tropical and subtropical areas of the world including Pakistan. During the ongoing dengue outbreak in Pakistan (2022), over 30,000 cases have been reported, and over 70 lives have been lost. The only commercialized vaccine against DENV, Dengvaxia, cannot be administered as a prophylactic measure to cure this infection due to various complications. Using machine learning and reverse vaccinology approaches, this study was designed to develop a tetravalent modified nucleotide mRNA vaccine using NS1, prM, and EIII sequences of dengue virus from Pakistani isolates. Based on high antigenicity, non-allergenicity, and toxicity profiling, B-cell epitope, cytotoxic T lymphocyte (CTL), and helper T lymphocyte (HTL) putative vaccine targets were predicted. Molecular docking confirmed favorable interactions between T-cell epitopes and their respective HLA alleles, while normal mode analysis validated high-affinity interactions of vaccine proteins with immune receptors. In silico immune simulations confirmed adequate immune responses to eliminate the antigen and generate memory. Codon optimization, physicochemical features, nucleotide modifications, and suitable vector availability further ensured better antigen expression and adaptive immune responses. We predict that this vaccine construct may prove to be a good vaccinal candidate against dengue virus in vitro as well.
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Regulation of Host Immune Response against Enterobacter cloacae Proteins via Computational mRNA Vaccine Design through Transcriptional Modification. Microorganisms 2022; 10:microorganisms10081621. [PMID: 36014038 PMCID: PMC9415879 DOI: 10.3390/microorganisms10081621] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/02/2022] [Accepted: 08/05/2022] [Indexed: 12/13/2022] Open
Abstract
Enterobacter cloacae is mainly responsible for sepsis, urethritis, and respiratory tract infections. These bacteria may affect the transcription of the host and particularly their immune system by producing changes in their epigenetics. In the present study, four proteins of Enterobacter cloacae were used to predict the epitopes for the construction of an mRNA vaccine against Enterobacter cloacae infections. In order to generate cellular and humoral responses, various immunoinformatic-based approaches were used for developing the vaccine. The molecular docking analysis was performed for predicting the interaction among the chosen epitopes and corresponding MHC alleles. The vaccine was developed by combining epitopes (thirty-three total), which include the adjuvant Toll-like receptor-4 (TLR4). The constructed vaccine was analyzed and predicted to cover 99.2% of the global population. Additionally, in silico immunological modeling of the vaccination was also carried out. When it enters the cytoplasm of the human (host), the codon is optimized to generate the translated mRNA efficiently. Moreover, the peptide structures were analyzed and docked with TLR-3 and TLR-4. A dynamic simulation predicted the stability of the binding complex. The assumed construct was considered to be a potential candidate for a vaccine against Enterobacter cloacae infections. Hence, the proposed construct is suitable for in vitro analyses to validate its effectiveness.
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