Design of a Conserved LukS-PV-Based Multi-Epitope Vaccine Candidate Against PVL-Positive Staphylococcus aureus: An Immunoinformatics Approach for MRSA and MSSA Coverage

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Prottay Choudhury
Md. Saiful Islam
Synchita Majumder Kaya
Umma Salma Mim
Shibashish Sarker
K. M. Kaderi Kibria

Abstract

Background: Staphylococcus aureus is a versatile Gram-positive pathogen responsible for a wide range of infections, from mild skin diseases to life-threatening conditions such as pneumonia, sepsis, and endocarditis. Panton–Valentine leukocidin (PVL), particularly its LukS-PV component, is a key virulence factor contributing to immune evasion and tissue damage. As PVL genes occur in both methicillin-sensitive and methicillin-resistant S. aureus (MSSA and MRSA), LukS-PV represents a conserved vaccine target. Objective: This study aimed to design a conserved LukS-PV-based multi-epitope vaccine candidate against PVL-positive S. aureus using an immunoinformatics approach. Methods: T-cell and B-cell epitopes from LukS-PV were identified and screened based on antigenicity, conservancy, allergenicity, toxicity, and physicochemical properties. Selected epitopes were evaluated for MHC binding affinity and population coverage. A multi-epitope construct was designed using linkers and an adjuvant, followed by structural modeling, molecular docking with TLR2, molecular dynamics simulation, immune simulation, and in silico cloning. Results: The core epitope ITYGRNMDV showed 100% conservancy, while FEITYGRNMDVTHAT showed 95.83% conservancy and strong MHC-II binding with 73.44% population coverage. The vaccine construct demonstrated an antigenicity score of 1.0244 and good solubility. Docking with TLR2 revealed stable binding, supported by molecular dynamics simulation. Immune simulation indicated potential activation of both humoral and cellular responses, and in silico cloning suggested feasible expression in E. coli. Conclusion: The designed vaccine construct shows strong in silico potential against PVL-positive S. aureus. However, experimental validation is required to confirm immunogenicity, safety, and efficacy.

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How to Cite
Choudhury, P., Islam, M. S., Kaya, S. M., Mim, U. S., Sarker, S., & Kibria, K. M. K. (2026). Design of a Conserved LukS-PV-Based Multi-Epitope Vaccine Candidate Against PVL-Positive Staphylococcus aureus: An Immunoinformatics Approach for MRSA and MSSA Coverage. Advanced Drug Sciences, 1(1), e000005. Retrieved from https://journals2.ums.ac.id/ads/article/view/17815
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Research Article

References

1. Gould D, Chamberlaine A. Staphylococcus aureus: a review of the literature. J Clin Nurs. 1995;4(1), doi:10.1111/j.1365-2702.1995.tb00004.x

2. Tong SY, Davis JS, Eichenberger E, Holland TL, Fowler Jr VG. Staphylococcus aureus infections: epidemiology, pathophysiology, clinical manifestations, and management. Clin Microbiol Rev. 2015;28(3):603-61, doi:10.1128/cmr.00134-14

3. Lowy FD. Staphylococcus aureus infections. N Engl J Med. 1998;339(8):520-32, doi:10.1056/NEJM199808203390806

4. Guo Y, Song G, Sun M, Wang J, Wang Y. Prevalence and therapies of antibiotic-resistance in Staphylococcus aureus. Front Cell Infect Microbiol. 2020;10:107, doi:10.3389/fcimb.2020.00107

5. Wertheim HF, Melles DC, Vos MC, Van Leeuwen W, Van Belkum A, Verbrugh HA, Nouwen JL. The role of nasal carriage in Staphylococcus aureus infections. Lancet Infect Dis. 2005;5(12):751-62, doi:10.1016/S1473-3099(05)70295-4

6. Kirby WM. Extraction of a highly potent penicillin inactivator from penicillin resistant staphylococci. Science. 1944;99(2579):452-3, doi:10.1126/science.99.2579.452

7. Turner NA, Sharma-Kuinkel BK, Maskarinec SA, Eichenberger EM, Shah PP, Carugati M, Holland TL, Fowler Jr VG. Methicillin-resistant Staphylococcus aureus: an overview of basic and clinical research. Nat Rev Microbiol. 2019;17(4):203-18, doi:10.1038/s41579-018-0147-4

8. Kalu IC, Kao CM, Fritz SA. Management and prevention of Staphylococcus aureus infections in children. Infect Dis Clin North Am. 2022;36(1):73-100, doi:10.1016/j.idc.2021.11.006

9. Nandhini P, Kumar P, Mickymaray S, Alothaim AS, Somasundaram J, Rajan M. Recent developments in methicillin-resistant Staphylococcus aureus (MRSA) treatment: a review. Antibiotics. 2022;11(5):606, doi:10.3390/antibiotics11050606

10. Hartman BJ, Tomasz A. Low-affinity penicillin-binding protein associated with beta-lactam resistance in Staphylococcus aureus. J Bacteriol. 1984;158(2):513-6, doi:doi.org/10.1128/jb.158.2.513-516.1984

11. Reynolds PE, Brown DF. Penicillin-binding proteins of β-lactam-resistant strains of Staphylococcus aureus: effect of growth conditions. FEBS Lett. 1985;192(1):28-32, doi:10.1016/0014-5793(85)80036-3

12. Utsui YU, Yokota TA. Role of an altered penicillin-binding protein in methicillin-and cephem-resistant Staphylococcus aureus. Antimicrob Agents Chemother. 1985;28(3):397-403, doi:doi.org/10.1128/aac.28.3.397

13. Matsuhashi MI, Song MD, Ishino FU, Wachi MA, Doi MA, Inoue MA, Ubukata KI, Yamashita NA, Konno MA. Molecular cloning of the gene of a penicillin-binding protein supposed to cause high resistance to beta-lactam antibiotics in Staphylococcus aureus. J Bacteriol. 1986;167(3):975-80, doi:10.1128/jb.167.3.975-980.1986

14. Tobin EH, Jogu P, Koirala J. Methicillin-resistant Staphylococcus aureus. In StatPearls [internet] 2025. StatPearls Publishing. [cited 2026 June 14]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK482221/

15. Maree M, Thi Nguyen LT, Ohniwa RL, Higashide M, Msadek T, Morikawa K. Natural transformation allows transfer of SCC mec-mediated methicillin resistance in Staphylococcus aureus biofilms. Nat Commun. 2022;13(1):2477, doi:10.1038/s41467-022-29877-2

16. Coombs GW, Baines SL, Howden BP, Swenson KM, O’Brien FG. Diversity of bacteriophages encoding Panton-Valentine leukocidin in temporally and geographically related Staphylococcus aureus. PLoS One. 2020;15(2):e0228676, doi:10.1371/journal.pone.0228676

17. Darboe S, Dobreniecki S, Jarju S, Jallow M, Mohammed NI, Wathuo M, Ceesay B, Tweed S, Basu Roy R, Okomo U, Kwambana-Adams B. Prevalence of Panton-Valentine leukocidin (PVL) and antimicrobial resistance in community-acquired clinical Staphylococcus aureus in an urban Gambian hospital: a 11-year period retrospective pilot study. Front Cell Infect Microbiol. 2019;9:170, doi:10.3389/fcimb.2019.00170

18. Saeed K, Gould I, Esposito S, Ahmad-Saeed N, Ahmed SS, Alp E, Bal AM, Bassetti M, Bonnet E, Chan M, Coombs G. Panton–Valentine leukocidin-positive Staphylococcus aureus: a position statement from the International Society of Chemotherapy. Int J Antimicrob Agents. 2018 Jan 1;51(1):16-25, doi:10.1016/j.ijantimicag.2017.11.002

19. Simon SD. Centers for Disease Control and Prevention (CDC). In: Schintler LA, McNeely CL, editors. Encyclopedia of Big Data. Cham: Springer International Publishing; 2022. p. 158-161. doi:10.1007/978-3-319-32001-4_258-1

20. Murray CJ, Ikuta KS, Sharara F, Swetschinski L, Aguilar GR, Gray A, Han C, Bisignano C, Rao P, Wool E, Johnson SC. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lncet. 2022;399(10325):629-55, doi:10.1016/S0140-6736(21)02724-0

21. Gordon J. Clinical significance of methicillin-sensitive and methicillin-resistant Staphylococcus aureus in UK hospitals and the relevance of povidone-iodine in their control. Postgrad Med J. 1993;69:S106-16.

22. Parsons JB, Westgeest AC, Conlon BP, Fowler Jr VG. Persistent methicillin-resistant Staphylococcus aureus bacteremia: host, pathogen, and treatment. Antibiotics. 2023;12(3):455, doi:10.3390/antibiotics12030455

23. Klimka A, Mertins S, Nicolai AK, Rummler LM, Higgins PG, Günther SD, Tosetti B, Krut O, Krönke M. Epitope-specific immunity against Staphylococcus aureus coproporphyrinogen III oxidase. npj Vaccines. 2021;6(1):11, doi:10.1038/s41541-020-00268-2

24. Zhou P, Shi X, Xia J, Wang Y, Dong S. Innovative epitopes in Staphylococcal Protein-A an immuno-informatics approach to combat MDR-MRSA infections. Front Cell Infect Microbiol. 2025;14:1503944, doi:10.3389/fcimb.2024.1503944

25. Tsai CM, Caldera J, Hajam IA, Liu GY. Toward an effective Staphylococcus vaccine: why have candidates failed and what is the next step?. Expert Rev Vaccines. 2023;22(1):207-9, doi:10.1080/14760584.2023.2179486

26. Clegg J, Soldaini E, McLoughlin RM, Rittenhouse S, Bagnoli F, Phogat S. Staphylococcus aureus vaccine research and development: the past, present and future, including novel therapeutic strategies. Front Immunol. 2021;12:705360., doi:10.3389/fimmu.2021.705360

27. Lina G, Piémont Y, Godail-Gamot F, Bes M, Peter MO, Gauduchon V, Vandenesch F, Etienne J. Involvement of Panton-Valentine leukocidin—producing Staphylococcus aureus in primary skin infections and pneumonia. Clin Infect Dis. 1999 Nov 1;29(5):1128-32, doi:10.1086/313461

28. Spaan AN, Vrieling M, Wallet P, Badiou C, Reyes-Robles T, Ohneck EA, Benito Y, De Haas CJ, Day CJ, Jennings MP, Lina G. The staphylococcal toxins γ-haemolysin AB and CB differentially target phagocytes by employing specific chemokine receptors. Nat Commun. 2014;5(1):5438, doi:10.1038/ncomms6438

29. Shallcross LJ, Fragaszy E, Johnson AM, Hayward AC. The role of the Panton-Valentine leucocidin toxin in staphylococcal disease: a systematic review and meta-analysis. Lancet Infect Dis. 2013;13(1):43-54, doi:10.1016/S1473-3099(12)70238-4

30. Spaan AN, Henry T, Van Rooijen WJ, Perret M, Badiou C, Aerts PC, Kemmink J, de Haas CJ, van Kessel KP, Vandenesch F, Lina G. The staphylococcal toxin Panton-Valentine Leukocidin targets human C5a receptors. Cell Host Microbe. 2013;13(5):584-94, doi:10.1016/j.chom.2013.04.006

31. Fowler Jr VG, Proctor RA. Where does a Staphylococcus aureus vaccine stand?. Clin Microbiol Infect. 2014;20:66-75, doi:10.1111/1469-0691.12570

32. Rappuoli R, Bottomley MJ, D’Oro U, Finco O, De Gregorio E. Reverse vaccinology 2.0: Human immunology instructs vaccine antigen design. J Exp Med. 2016;213(4):469-81, doi:10.1084/jem.20151960

33. Naz A, Awan FM, Obaid A, Muhammad SA, Paracha RZ, Ahmad J, Ali A. Identification of putative vaccine candidates against Helicobacter pylori exploiting exoproteome and secretome: a reverse vaccinology based approach. Infect Genet Evol. 2015;32:280-91, doi:10.1016/j.meegid.2015.03.027

34. Flower DR, Macdonald IK, Ramakrishnan K, Davies MN, Doytchinova IA. Computer aided selection of candidate vaccine antigens. Immunome Res. 2010;6(Suppl 2):S1, doi:10.1186/1745-7580-6-S2-S1

35. Jansen KU, Girgenti DQ, Scully IL, Anderson AS. Vaccine review:“Staphyloccocus aureus vaccines: problems and prospects”. Vaccine. 2013;31(25):2723-30. doi:10.1016/j.vaccine.2013.04.002

36. Qamar MTU, Ahmad S, Fatima I, Ahmad F, Shahid F, Naz A, Abbasi SW, Khan A, Mirza MU, Ashfaq UA, Chen LL. Designing multi-epitope vaccine against Staphylococcus aureus by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches. Comput Biol Med. 2021;132:104389, doi:10.1016/j.compbiomed.2021.104389

37. Chatterjee R, Sahoo P, Mahapatra SR, Dey J, Ghosh M, Kushwaha GS, Misra N, Suar M, Raina V, Son YO. Development of a conserved chimeric vaccine for induction of strong immune response against Staphylococcus aureus using immunoinformatics approaches. Vaccines. 2021;9(9):1038, doi:10.3390/vaccines9091038

38. Wheeler DL, Barrett T, Benson DA, Bryant SH, Canese K, Chetvernin V, Church DM, DiCuccio M, Edgar R, Federhen S, Feolo M. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2007;36(suppl_1):D13-21, doi:10.1093/nar/gkm1000

39. Doytchinova IA, Flower DR. VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines. BMC Bioinformatics. 2007;8(1):4, doi:10.1186/1471-2105-8-4

40. Yu NY, Wagner JR, Laird MR, Melli G, Rey S, Lo R, Dao P, Sahinalp SC, Ester M, Foster LJ, Brinkman FS. PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinformatics. 2010 Jul 1;26(13):1608-15, doi:10.1093/bioinformatics/btq249

41. Buus S, Lauemøller SL, Worning P, Kesmir C, Frimurer T, Corbet S, Fomsgaard A, Hilden J, Holm A, Brunak S. Sensitive quantitative predictions of peptide‐MHC binding by a ‘Query by Committee’artificial neural network approach. Tissue Antigens. 2003;62(5):378-84, doi:10.1034/j.1399-0039.2003.00112.x

42. Wang P, Sidney J, Dow C, Mothé B, Sette A, Peters B. A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach. PLoS Comput Biol. 2008;4(4):e1000048, doi:10.1371/journal.pcbi.1000048

43. Wang P, Sidney J, Kim Y, Sette A, Lund O, Nielsen M, Peters B. Peptide binding predictions for HLA DR, DP and DQ molecules. BMC Bioinformatics. 2010;11(1):568, doi:10.1186/1471-2105-11-568

44. Peters B, Sette A. Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method. BMC Bioinformatics. 2005;6(1):132, doi:10.1186/1471-2105-6-132

45. Munia M, Mahmud S, Mohasin M, Kibria KK. In silico design of an epitope-based vaccine against choline binding protein A of Streptococcus pneumoniae. Inform Med Unlocked. 2021;23:100546, doi:10.1016/j.imu.2021.100546

46. Bui HH, Sidney J, Li W, Fusseder N, Sette A. Development of an epitope conservancy analysis tool to facilitate the design of epitope-based diagnostics and vaccines. BMC Bioinformatics. 2007;8(1):361, doi:10.1186/1471-2105-8-361

47. Dimitrov I, Bangov I, Flower DR, Doytchinova I. AllerTOP v. 2—a server for in silico prediction of allergens. J Mol Model. 2014;20(6):2278, doi:10.1007/s00894-014-2278-5

48. Gupta S, Kapoor P, Chaudhary K, Gautam A, Kumar R, Open Source Drug Discovery Consortium, Raghava GP. In silico approach for predicting toxicity of peptides and proteins. PLoS One. 2013;8(9):e73957, doi:10.1371/journal.pone.0073957

49. Chen Y, Yu P, Luo J, Jiang Y. Secreted protein prediction system combining CJ-SPHMM, TMHMM, and PSORT. Mamm Genome. 2003;14(12):859-65., doi:10.1007/s00335-003-2296-6

50. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE. The protein data bank. Nucleic Acids Res. 2000;28(1):235-42, doi:10.1093/nar/28.1.235

51. Wang Q, He J, Wu D, Wang J, Yan J, Li H. Interaction of α-cyperone with human serum albumin: Determination of the binding site by using Discovery Studio and via spectroscopic methods. J Lumin. 2015;164:81-5, doi:10.1016/j.jlumin.2015.03.025

52. Nair DT, Singh K, Siddiqui Z, Nayak BP, Rao KV, Salunke DM. Epitope recognition by diverse antibodies suggests conformational convergence in an antibody response. The J Immunol. 2002;168(5):2371-82, doi:10.4049/jimmunol.168.5.2371

53. Saha S, Raghava GP. Prediction of continuous B‐cell epitopes in an antigen using recurrent neural network. Proteins. 2006;65(1):40-8, doi:10.1002/prot.21078

54. Jespersen MC, Peters B, Nielsen M, Marcatili P. BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes. Nucleic Acids Res. 2017;45(W1):W24-9, doi:10.1093/nar/gkx346

55. Akter A, Ananna NF, Ullah H, Islam S, Al Amin M, Kibria KK, Mahmud S. Computational approach for identifying immunogenic epitopes and optimizing peptide vaccine through in-silico cloning against Mycoplasma genitalium. Heliyon. 2024;10(7), doi:10.1016/j.heliyon.2024.e28223

56. adilah F, Paramita RI, Erlina L, Istiadi KA, Wuyung PE, Tedjo A. Linker optimization in breast cancer multiepitope peptide vaccine design based on molecular study. In: Proceedings of the 4th International Conference on Life Sciences and Biotechnology (ICOLIB 2021); 2022; Atlantis Press. p. 528-538. doi:10.2991/978-94-6463-062-6.

57. Yousaf H, Naz A. Exploring B and T-cell epitopes for constructing a Novel Multiepitope vaccine to combat emerging Monkeypox infection: A Reverse Vaccinology approach. bioRxiv. 2022:2022-12, doi:10.1101/2022.12.09.519581

58. Ayyagari VS, TC V, K AP, Srirama K. Design of a multi-epitope-based vaccine targeting M-protein of SARS-CoV2: an immunoinformatics approach. J Biomol Struct Dyn. 2022;40(7):2963-77, doi:10.1080/07391102.2020.1850357

59. Hebditch M, Carballo-Amador MA, Charonis S, Curtis R, Warwicker J. Protein–Sol: a web tool for predicting protein solubility from sequence. Bioinformatics. 2017;33(19):3098-100, doi:10.1093/bioinformatics/btx345

60. McGuffin LJ, Bryson K, Jones DT. The PSIPRED protein structure prediction server. Bioinformatics. 2000;16(4):404-5, doi:10.1093/bioinformatics/16.4.404

61. Du Z, Su H, Wang W, Ye L, Wei H, Peng Z, Anishchenko I, Baker D, Yang J. The trRosetta server for fast and accurate protein structure prediction. Na Protoc. 2021;16(12):5634-51, doi:10.1038/s41596-021-00628-9

62. Laskowski RA, Rullmann JA, MacArthur MW, Kaptein R, Thornton JM. AQUA and PROCHECK-NMR: programs for checking the quality of protein structures solved by NMR. J Biomol NMR. 1996;8(4):477-86, doi:10.1007/BF00228148

63. Yan Y, Tao H, He J, Huang SY. The HDOCK server for integrated protein–protein docking. Nat Protoc. 2020;15(5):1829-52, doi:10.1093/nar/gkx407

64. Maestro S. Maestro. Schrödinger, LLC, New York, NY. 2020;2020:682.

65. Rapin N, Lund O, Bernaschi M, Castiglione F. Computational immunology meets bioinformatics: the use of prediction tools for molecular binding in the simulation of the immune system. PLoS One. 2010;5(4):e9862, doi:10.1371/journal.pone.0009862

66. Tahir ul Qamar M, Rehman A, Tusleem K, Ashfaq UA, Qasim M, Zhu X, Fatima I, Shahid F, Chen LL. Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches. PLoS One. 2020;15(12):e0244176, doi:10.1371/journal.pone.0244176

67. Chauhan V, Singh MP. Immuno-informatics approach to design a multi-epitope vaccine to combat cytomegalovirus infection. Eur J Pharm Sci. 2020;147:105279, doi:10.1016/j.ejps.2020.105279

68. Kroger AT, Sumaya CV, Pickering LK, Atkinson WL. General recommendations on immunization. MMWR Recomm Rep. 2011;60(2):1-64.

69. Castiglione F, Mantile F, De Berardinis P, Prisco A. How the interval between prime and boost injection affects the immune response in a computational model of the immune system. Comput Math Methods Med. 2012;2012(1):842329, doi:10.1155/2012/842329

70. Nain Z, Abdulla F, Rahman MM, Karim MM, Khan MS, Sayed SB, Mahmud S, Rahman SR, Sheam MM, Haque Z, Adhikari UK. Proteome-wide screening for designing a multi-epitope vaccine against emerging pathogen Elizabethkingia anophelis using immunoinformatic approaches. J Biomol Struct Dyn. 2020;38(16):4850-67, doi:10.1080/07391102.2019.1692072

71. Grote A, Hiller K, Scheer M, Münch R, Nörtemann B, Hempel DC, Jahn D. JCat: a novel tool to adapt codon usage of a target gene to its potential expression host. Nucleic Acids Res. 2005;33(suppl_2):W526-31, doi:10.1093/nar/gki376

72. Smith CL, Econome JG, Schutt A, Klco S, Cantor CR. A physical map of the Escherichia coli K12 genome. Science. 1987;236(4807):1448-53, doi:10.1126/science.329619

73. Sharp PM, Li WH. The codon adaptation index-a measure of directional synonymous codon usage bias, and its potential applications. Nucleic Acids Res. 1987;15(3):1281-95, doi:10.1093/nar/15.3.1281

74. Fowler VG, Allen KB, Moreira ED, Moustafa M, Isgro F, Boucher HW, Corey GR, Carmeli Y, Betts R, Hartzel JS, Chan IS. Effect of an investigational vaccine for preventing Staphylococcus aureus infections after cardiothoracic surgery: a randomized trial. JAMA. 2013;309(13):1368-78, doi:10.1001/jama.2013.3010

75. Harro CD, Betts RF, Hartzel JS, Onorato MT, Lipka J, Smugar SS, Kartsonis NA. The immunogenicity and safety of different formulations of a novel Staphylococcus aureus vaccine (V710): results of two Phase I studies. Vaccine. 2012;30(9):1729-36, doi:10.1016/j.vaccine.2011.12.045

76. Grebe T, Sarkari MT, Cherkaoui A, Schaumburg F. Exploration of compounds to inhibit the Panton-Valentine leukocidin of Staphylococcus aureus. Med Microbiol Immunol. 2024;213(1):19, doi:10.1007/s00430-024-00803-1

77. Tristan A, Benito Y, Montserret R, Boisset S, Dusserre E, Penin F, Ruggiero F, Etienne J, Lortat-Jacob H, Lina G, Bowden MG. The signal peptide of Staphylococcus aureus panton valentine leukocidin LukS component mediates increased adhesion to heparan sulfates. PLoS One. 2009;4(4):e5042, doi:10.1371/journal.pone.0005042

78. Müller E, Monecke S, Armengol Porta M, Narvaez Encalada MV, Reissig A, Rüttiger L, Schröttner P, Schwede I, Söffing HH, Thürmer A, Ehricht R. Rapid Detection of Panton–Valentine Leukocidin Production in Clinical Isolates of Staphylococcus aureus from Saxony and Brandenburg and Their Molecular Characterisation. Pathogens. 2025;14(3):238, doi:10.3390/pathogens14030238

79. Garbo V, Venuti L, Boncori G, Albano C, Condemi A, Natoli G, Frasca Polara V, Billone S, Canduscio LA, Cascio A, Colomba C. Severe Panton–Valentine-Leukocidin-Positive Staphylococcus Aureus Infections in Pediatric Age: A Case Report and a Literature Review. Antibiotics. 2024;13(12):1192, doi:10.3390/antibiotics13121192

80. Foster TJ. Immune evasion by staphylococci. Nat Rev Microbiol. 2005;3(12):948-58, doi:10.1038/nrmicro3521

81. Otto M. Basis of virulence in community-associated methicillin-resistant Staphylococcus aureus. Annu Rev Microbiol. 2010;64:143-62, doi:10.1146/annurev.micro.112408.134309

82. Lina G, Piémont Y, Godail-Gamot F, Bes M, Peter MO, Gauduchon V, Vandenesch F, Etienne J. Involvement of Panton-Valentine leukocidin—producing Staphylococcus aureus in primary skin infections and pneumonia. Clin Infect Dis. 1999;29(5):1128-32, doi:10.1086/313461

83. Tromp AT, Van Strijp JA. Studying staphylococcal leukocidins: a challenging endeavor. Front Microbiol. 2020;11:611, doi:10.3389/fmicb.2020.00611

84. Arnon R, Ben-Yedidia T. Old and new vaccine approaches. Int Immunopharmacol. 2003;3(8):1195-204, doi:10.1016/S1567-5769(03)00016-X

85. Negahdaripour M, Nezafat N, Eslami M, Ghoshoon MB, Shoolian E, Najafipour S, Morowvat MH, Dehshahri A, Erfani N, Ghasemi Y. Structural vaccinology considerations for in silico designing of a multi-epitope vaccine. Infect Genet Evol. 2018;58:96-109, doi:10.1016/j.meegid.2017.12.008

86. De Groot AS, Moise L, McMurry JA, Martin W. Epitope-based immunome-derived vaccines: a strategy for improved design and safety. In: Falus A, editor. Clinical Applications of Immunomics. Immunomics Reviews. Vol. 2. New York (NY): Springer; 2008. p. 39–69. doi:10.1007/978-0-387-79208-8_3

87. Skwarczynski M, Toth I. Peptide-based synthetic vaccines. Chem Sci. 2016;7(2):842-54, doi:10.1039/C5SC03892H

88. Michel-Todó L, Reche PA, Bigey P, Pinazo MJ, Gascón J, Alonso-Padilla J. In silico design of an epitope-based vaccine ensemble for Chagas disease. Front Immunol. 2019;10:2698, doi:10.3389/fimmu.2019.02698

89. Kawasaki T, Kawai T. Toll-like receptor signaling pathways. Front Immunol. 2014;5:112681, doi:10.3389/fimmu.2014.00461

90. Fournier B. The function of TLR2 during staphylococcal diseases. Front Cell Infect Microbiol. 2013;2:167, doi:10.3389/fcimb.2012.00167

91. Fournier B, Philpott DJ. Recognition of Staphylococcus aureus by the innate immune system. Clin Microbiol Rev. 2005;18(3):521-40, doi:10.1128/cmr.18.3.521-540.2005

92. Yimin, Kohanawa M, Zhao S, Ozaki M, Haga S, Nan G, Kuge Y, Tamaki N. Contribution of toll-like receptor 2 to the innate response against Staphylococcus aureus infection in mice. PLoS One. 2013;8(9):e74287, doi:10.1371/journal.pone.0074287

93. Brown EL, Dumitrescu O, Thomas D, Badiou C, Koers EM, Choudhury P, Vazquez V, Etienne J, Lina G, Vandenesch F, Bowden MG. The Panton–Valentine leukocidin vaccine protects mice against lung and skin infections caused by Staphylococcus aureus USA300. Clin Microbiol Infect. 2009;15(2):156-64, doi:10.1111/j.1469-0691.2008.02648.x

94. Brown EL, Smith KC, Bowden MG. Identification of a T-cell epitope in the Staphylococcus aureus Panton-Valentine LukS-PV component. Open J Immunol. 2012;2(3):111, doi:10.4236/oji.2012.23013

95. Karauzum H, Adhikari RP, Sarwar J, Devi VS, Abaandou L, Haudenschild C, Mahmoudieh M, Boroun AR, Vu H, Nguyen T, Warfield KL. Structurally designed attenuated subunit vaccines for S. aureus LukS-PV and LukF-PV confer protection in a mouse bacteremia model. PLoS One. 2013;8(6):e65384, doi:10.1371/journal.pone.0065384

96. Adhikari RP, Kort T, Shulenin S, Kanipakala T, Ganjbaksh N, Roghmann MC, Holtsberg FW, Aman MJ. Antibodies to S. aureus LukS-PV attenuated subunit vaccine neutralize a broad spectrum of canonical and non-canonical bicomponent leukotoxin pairs. PLoS One. 2015;10(9):e0137874, doi:10.1371/journal.pone.0137874

97. Landrum ML, Lalani T, Niknian M, Maguire JD, Hospenthal DR, Fattom A, Taylor K, Fraser J, Wilkins K, Ellis MW, Kessler PD. Safety and immunogenicity of a recombinant Staphylococcus aureus α-toxoid and a recombinant Panton-Valentine leukocidin subunit, in healthy adults. Hum Vaccin Immunother. 2017 Apr 3;13(4):791-801, doi:10.1080/21645515.2016.1248326

98. Karauzum H, Venkatasubramaniam A, Adhikari RP, Kort T, Holtsberg FW, Mukherjee I, Mednikov M, Ortines R, Nguyen NT, Doan TM, Diep BA. IBT-V02: A multicomponent toxoid vaccine protects against primary and secondary skin infections caused by Staphylococcus aureus. Front Immunol. 2021;12:624310, doi:10.3389/fimmu.2021.624310

99. Nielsen M, Andreatta M, Peters B, Buus S. Immunoinformatics: predicting peptide-MHC binding. Annu Rev Biomed Data Sci. 2020;3:191-215. doi:10.1146/annurev-biodatasci-021920-100259

100. Holland CJ, Cole DK, Godkin A. Redirecting CD4+ T cell responses with the flanking residues of MHC class II-bound peptides: the core is not enough. Front Immunol. 2013;4:172, doi:10.3389/fimmu.2013.00172

101. Laimer J, Lackner P. MHCII3D—Robust structure based prediction of MHC II binding peptides. Int J Mol Sci. 2020;22(1):12, doi:10.3390/ijms22010012