Immunoinformatics Design of a Multiepitope Vaccine (MEV) Targeting Streptococcus mutans: A Novel Computational Approach

被引:4
作者
Naorem, Romen Singh [1 ]
Pangabam, Bandana Devi [2 ]
Bora, Sudipta Sankar [1 ]
Fekete, Csaba [2 ]
Teli, Anju Barhai [1 ,3 ]
机构
[1] Jorhat Med Coll & Hosp, Multidisciplinary Res Unit, Jorhat 785001, India
[2] Univ Pecs, Dept Mol Biol & Microbiol, Ifusag Utja 6, H-7624 Pecs, Hungary
[3] Jorhat Med Coll & Hosp, Dept Biochem, Jorhat 785001, India
关键词
Streptococcus mutans; dental caries; multiepitope vaccine; molecular docking simulation; molecular dynamic simulation; immunoinformatics; DENTAL-CARIES; CODON USAGE; GENE; PROTEINS; WEB; IMMUNIZATION; EFFICIENCY; INDUCTION; ADHERENCE; RECEPTOR;
D O I
10.3390/pathogens13100916
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Dental caries, a persistent oral health challenge primarily linked to Streptococcus mutans, extends its implications beyond dental decay, affecting over 4 billion individuals globally. Despite its historical association with childhood, dental caries often persists into adulthood with prevalence rates ranging from 60 to 90% in children and 26 to 85% in adults. Currently, there is a dearth of multiepitope vaccines (MEVs) specifically designed to combat S. mutans. To address this gap, we employed an immunoinformatics approach for MEV design, identifying five promising vaccine candidates (PBP2X, PBP2b, MurG, ATP-F, and AGPAT) based on antigenicity and conservation using several tools including CELLO v.2.5, Vaxign, v2.0, ANTIGENpro, and AllerTop v2.0 tools. Subsequent identification of linear B-cell and T-cell epitopes by SVMTrip and NetCTL/NetMHC II tools, respectively, guided the construction of a MEV comprising 10 Cytotoxic T Lymphocyte (CTL) epitopes, 5 Helper T Lymphocyte (HTL) epitopes, and 5 linear B-cell epitopes, interconnected by suitable linkers. The resultant MEV demonstrated high antigenicity, solubility, and structural stability. In silico immune simulations showcased the MEV's potential to elicit robust humoral and cell-mediated immune responses. Molecular docking studies revealed strong interactions between the MEV construct and Toll-Like Receptors (TLRs) and Major Histocompatibility Complex (MHC) molecules. Remarkably, the MEV-TLR-4 complexes exhibited a low energy score, high binding affinity, and a low dissociation constant. The Molecular Dynamic (MD) simulation analysis suggested that MEV-TLR-4 complexes had the highest stability and minimal conformational changes indicating equilibrium within 40 nanosecond time frames. Comprehensive computational analyses strongly support the potential of the proposed MEV to combat dental caries and associated infections. The study's computational assays yielded promising results, but further validation through in vitro and in vivo experiments is needed to assess its efficacy and safety.
引用
收藏
页数:27
相关论文
共 139 条
[11]   Contriving multi-epitope vaccine ensemble for monkeypox disease using an immunoinformatics approach [J].
Aziz, Shahkaar ;
Almajhdi, Fahad Nasser ;
Waqas, Muhammad ;
Ullah, Inam ;
Salim, Muhammad Adil ;
Khan, Nasir Ali ;
Ali, Amjad .
FRONTIERS IN IMMUNOLOGY, 2022, 13
[12]  
Banerjee S, 2020, bioRxiv, DOI [10.1101/2020.07.23.218529, 10.1101/2020.07.23.218529, DOI 10.1101/2020.07.23.218529]
[13]   Effects of Low PBP2b Levels on Cell Morphology and Peptidoglycan Composition in Streptococcus pneumoniae R6 [J].
Berg, Kari Helene ;
Stamsas, Gro Anita ;
Straume, Daniel ;
Havarstein, Leiv Sigve .
JOURNAL OF BACTERIOLOGY, 2013, 195 (19) :4342-4354
[14]   STREPTOCOCCUS MUTANS AND STREPTOCOCCUS SOBRINUS ARE ABLE TO ADHERE AND INVADE HUMAN GINGIVAL FIBROBLAST CELL LINE [J].
Berlutti, F. ;
Catizone, A. ;
Ricci, G. ;
Frioni, A. ;
Natalizi, T. ;
Valenti, P. ;
Polimeni, A. .
INTERNATIONAL JOURNAL OF IMMUNOPATHOLOGY AND PHARMACOLOGY, 2010, 23 (04) :1253-1260
[15]   Nanoparticle-Based Delivery Systems for Vaccines [J].
Bezbaruah, Rajashri ;
Chavda, Vivek P. ;
Nongrang, Lawandashisha ;
Alom, Shahnaz ;
Deka, Kangkan ;
Kalita, Tutumoni ;
Ali, Farak ;
Bhattacharjee, Bedanta ;
Vora, Lalitkumar .
VACCINES, 2022, 10 (11)
[16]   In silico analysis of epitope-based vaccine candidate against tuberculosis using reverse vaccinology [J].
Bibi, Shaheen ;
Ullah, Inayat ;
Zhu, Bingdong ;
Adnan, Muhammad ;
Liaqat, Romana ;
Kong, Wei-Bao ;
Niu, Shiquan .
SCIENTIFIC REPORTS, 2021, 11 (01)
[17]   EDGAR 2.0: an enhanced software platform for comparative gene content analyses [J].
Blom, Jochen ;
Kreis, Julian ;
Spaenig, Sebastian ;
Juhre, Tobias ;
Bertelli, Claire ;
Ernst, Corinna ;
Goesmann, Alexander .
NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) :W22-W28
[18]   Vaccine delivery systems and administration routes: Advanced biotechnological techniques to improve the immunization efficacy [J].
Bouazzaoui, Abdellatif ;
Abdellatif, Ahmed A. H. .
VACCINE: X, 2024, 19
[19]   An immunoinformatics and structural vaccinology study to design a multi-epitope vaccine against Staphylococcus aureus infection [J].
Chatterjee, Rahul ;
Mahapatra, Soumya Ranjan ;
Dey, Jyotirmayee ;
Takur, Kiran Raj ;
Raina, Vishakha ;
Misra, Namrata ;
Suar, Mrutyunjay .
JOURNAL OF MOLECULAR RECOGNITION, 2023, 36 (04)
[20]   Bacterial expression systems for recombinant protein production: E. coli and beyond [J].
Chen, Rachel .
BIOTECHNOLOGY ADVANCES, 2012, 30 (05) :1102-1107