Design of a multi-epitope vaccine against drug-resistant mycobacterium tuberculosis and mycobacterium bovis using reverse vaccinology

被引:0
作者
Akurut, Eva [1 ,2 ]
Gavamukulya, Yahaya [3 ,4 ]
Mulindwa, Julius [5 ]
Isiagi, Moses [6 ,7 ]
Galiwango, Ronald [2 ,8 ]
Bbuye, Mudarshiru [9 ]
Lujumba, Ibra [2 ,8 ]
Kiberu, Davis [1 ,10 ]
Nabisubi, Patricia [1 ,2 ]
Kebirungi, Grace [2 ,8 ]
Kambugu, Andrew [8 ]
Castelnuovo, Barbara [8 ]
Nkurunungi, Gyaviira [10 ]
Jjingo, Daudi [2 ,11 ]
Oketch, Brenda [12 ,13 ]
Kateete, David Patrick [1 ]
Mboowa, Gerald [2 ,8 ]
机构
[1] Makerere Univ, Coll Hlth Sci, Dept Immunol & Mol Biol, POB 7072, Kampala, Uganda
[2] African Ctr Excellence Bioinformat & Data Intens S, POB 22418, Kampala, Uganda
[3] Busitema Univ, Fac Hlth Sci, Dept Biochem & Mol Biol, POB 1460, Mbale, Uganda
[4] Busitema Univ, Fac Hlth Sci, Nat Prod Res & Innovat Ctr NaPR, POB 1460, Mbale, Uganda
[5] Makerere Univ, Coll Nat Sci, Dept Biochem & Sports Sci, POB 7062, Kampala, Uganda
[6] Univ Cape Town, Dept Med, Div Pulmonol, Private Bag X3, ZA-7701 Rondebosch, South Africa
[7] Univ Cape Town, Dept Surg, Div Global Surg, Private Bag X3, ZA-7701 Rondebosch, South Africa
[8] Makerere Univ, Infect Dis Inst, POB 22418, Kampala, Uganda
[9] Makerere Univ, Vaccine & Epidem Res Grp, Lung Inst, Coll Hlth Sci, POB 7749, Kampala, Uganda
[10] Sch Hyg & Trop Med, Virus Res Inst & London, MRC, Entebbe, Uganda
[11] Makerere Univ, Coll Comp & Informat Sci, Dept Comp Sci, Kampala, Uganda
[12] Virus Res Inst, MRC, Entebbe, Uganda
[13] London Sch Hyg & Trop Med, Uganda Res Unit, Int AIDS Vaccine Initiat, Entebbe, Uganda
基金
美国国家卫生研究院;
关键词
Mycobacterium tuberculosis; Mycobacterium bovis; Vaccines; BCG; Reverse vaccinology; Molecular Docking; Tuberculosis; Drug resistance; PROTEIN-STRUCTURE PREDICTION; BCG;
D O I
10.1038/s41598-025-11768-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The global burden of Mycobacterium tuberculosis (M. tuberculosis) and Mycobacterium bovis (M. bovis), the rise of drug-resistant strains, necessitates an urgent need for developing more effective vaccines. This study employed an in-silico approach to design a multi-epitope vaccine targeting the PE_PGRS16 protein, a conserved virulence factor found across both species, including drug-resistant strains. PE_PGRS16 was chosen due to its extracellular localization, adhesion properties, and virulence characteristics, making it a promising vaccine target. Epitopes for B-cells, Cytotoxic T Lymphocytes, and Helper T Lymphocytes were selected based on antigenicity, non-toxicity, and immune response potential. The vaccine construct demonstrated favorable properties, including high antigenicity, solubility, and stability, with a low instability index (-31.31) and binding energy (-44.566) when docked to TLR4, suggesting its potential for immune activation. Griselimycin was incorporated as an adjuvant to enhance immunogenicity, as predicted by C-ImmSim simulations. Population coverage analysis for East Africa revealed high applicability, with 98.35% coverage for Class I epitopes, 100% coverage for Class II epitopes, and 100% combined coverage, with average hit values of 8.4, 12.26, and 20.66, respectively. These results suggest broad potential for global vaccine deployment. This study presents a novel multi-epitope vaccine targeting PE_PGRS16, with the potential to combat Mycobacterium tuberculosis and Mycobacterium bovis infections, including drug-resistant forms. Further experimental validation is necessary to confirm its efficacy and safety.
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页数:17
相关论文
共 75 条
[71]   MTBVAC vaccination protects rhesus macaques against aerosol challenge with M. tuberculosis and induces immune signatures analogous to those observed in clinical studies [J].
White, Andrew D. ;
Sibley, Laura ;
Sarfas, Charlotte ;
Morrison, Alexandra ;
Gullick, Jennie ;
Clark, Simon ;
Gleeson, Fergus ;
McIntyre, Anthony ;
Arlehamn, Cecilia Lindestam ;
Sette, Alessandro ;
Salguero, Francisco J. ;
Rayner, Emma ;
Rodriguez, Esteban ;
Puentes, Eugenia ;
Laddy, Dominick ;
Williams, Ann ;
Dennis, Mike ;
Martin, Carlos ;
Sharpe, Sally .
NPJ VACCINES, 2021, 6 (01)
[72]  
World Health Organization, 2023, Global tuberculosis report
[73]   Improved protein structure prediction by deep learning irrespective of co-evolution information [J].
Xu, Jinbo ;
McPartlon, Matthew ;
Li, Jin .
NATURE MACHINE INTELLIGENCE, 2021, 3 (07) :601-+
[74]   In silico analysis for the development of multi-epitope vaccines against Mycobacterium tuberculosis [J].
Yun, Jin-Seung ;
Kim, A. Reum ;
Kim, Soo Min ;
Shin, Eunkyung ;
Ha, Sang-Jun ;
Kim, Dokeun ;
Jeong, Hye-Sook .
FRONTIERS IN IMMUNOLOGY, 2024, 15
[75]   Complete Genome Sequencing of Mycobacterium bovis SP38 and Comparative Genomics of Mycobacterium bovis and M-tuberculosis Strains [J].
Zimpel, Cristina Kraemer ;
Brandao, Paulo E. ;
de Souza Filho, Antonio F. ;
de Souza, Robson F. ;
Ikuta, Cassia Y. ;
Ferreira Neto, Jose Soares ;
Soler Camargo, Naila C. ;
Heinemann, Marcos Bryan ;
Guimaraes, Ana M. S. .
FRONTIERS IN MICROBIOLOGY, 2017, 8