Construction of a multiepitope vaccine candidate against Fasciola hepatica: an in silico design using various immunogenic excretory/secretory antigens

被引:11
作者
Akil, Mesut [1 ]
Aykur, Mehmet [2 ]
Karakavuk, Muhammet [3 ,4 ]
Can, Huseyin [5 ]
Doskaya, Mert [4 ]
机构
[1] Istanbul Medeniyet Univ, Fac Med, Dept Parasitol, TR-34700 Istanbul, Turkey
[2] Tokat Gaziosmanpasa Univ, Fac Med, Dept Parasitol, Tokat, Turkey
[3] Ege Univ, Odemis Vocat Sch, Izmir, Turkey
[4] Ege Univ, Fac Med, Dept Parasitol, Izmir, Turkey
[5] Ege Univ, Fac Sci, Dept Biol, Mol Biol Sect, Izmir, Turkey
关键词
Fasciola hepatica; excretory; secretory (E; S) antigens; in silico analysis; multiepitope vaccine; vaccine development; MULTI-EPITOPE VACCINE; B-CELL EPITOPES; PROTEIN-STRUCTURE; PEPTIDE VACCINE; PREDICTION; ACTIVATION; INHIBITOR; INFECTION; ANTIBODY; REGION;
D O I
10.1080/14760584.2022.1996233
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background Fasciola hepatica is an important pathogen that causes liver fluke disease in definitive hosts such as livestock animals and humans. Various excretory/secretory products have been used in serological diagnosis and vaccination studies targeting fasciolosis. There are no commercial vaccines against fasciolosis yet. Bioinformatic analysis based on computational methods have lower cost and provide faster output compared to conventional vaccine antigen discovery techniques. The aim of this study was to predict B- and T-cell specific epitopes of four excretory/secretory antigens (Kunitz-type serine protease inhibitor, cathepsin L1, helminth defense molecule, and glutathione S-transferase) of Fasciola hepatica and to construct a multiepitope vaccine candidate against fasciolosis. Methods and Results Initially, nonallergic and the highest antigenic B- and T- cell epitopes were selected and then, physico-chemical parameters, secondary and tertiary structures of designed multiepitope vaccine candidate were predicted. Tertiary structure was refined and validated using online bioinformatic tools. Linear and discontinuous B-cell epitopes and disulfide bonds were determined. Finally, molecular docking analysis for MHC-I and MHC-II receptors was performed. Conclusion This multi-epitope vaccine candidate antigen, with high immunological properties, can be considered as a promising vaccine candidate for animal experiments and wet lab studies.
引用
收藏
页码:993 / 1006
页数:14
相关论文
共 79 条
  • [1] Fasciola hepatica GST downregulates NF-κB pathway effectors and inflammatory cytokines while promoting survival in a mouse septic shock model
    Aguayo, Vasti
    Fernandez, Bianca N. Valdes
    Rodriguez-Valentin, Madeline
    Ruiz-Jimenez, Caleb
    Ramos-Benitez, Marcos J.
    Mendez, Loyda B.
    Espino, Ana M.
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [2] Echinococcosis in Tambool, Central Sudan: a knowledge, attitude and practice (KAP) study
    Ahmed, Mohamed E.
    Hassan, Osama Ahmed
    Khalifa, Abdelrahman K. A.
    Elobied, Eyhab
    Osman, Ahmed A. A.
    Brair, Sara Lavinia
    Ahmed, Osama I. E.
    Elfadul, Maisa M. A.
    Cremers, Anne L.
    Grobusch, Martin P.
    [J]. INTERNATIONAL HEALTH, 2018, 10 (06): : 490 - 494
  • [3] Exploring dengue genome to construct a multi-epitope based subunit vaccine by utilizing immunoinformatics approach to battle against dengue infection
    Ali, Mudassar
    Pandey, Rajan Kumar
    Khatoon, Nazia
    Narula, Aruna
    Mishra, Amit
    Prajapati, Vijay Kumar
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [4] Design of the linkers which effectively separate domains of a bifunctional fusion protein
    Arai, R
    Ueda, H
    Kitayama, A
    Kamiya, N
    Nagamune, T
    [J]. PROTEIN ENGINEERING, 2001, 14 (08): : 529 - 532
  • [5] Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development
    Arshadi, Arash Keshavarzi
    Webb, Julia
    Salem, Milad
    Cruz, Emmanuel
    Calad-Thomson, Stacie
    Ghadirian, Niloofar
    Collins, Jennifer
    Diez-Cecilia, Elena
    Kelly, Brendan
    Goodarzi, Hani
    Yuan, Jiann Shiun
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2020, 3
  • [6] Toll-like receptor signaling in parasitic infections
    Ashour, Dalia S.
    [J]. EXPERT REVIEW OF CLINICAL IMMUNOLOGY, 2015, 11 (06) : 771 - 780
  • [7] EpiDOCK: a molecular docking-based tool for MHC class II binding prediction
    Atanasova, Mariyana
    Patronov, Atanas
    Dimitrov, Ivan
    Flower, Darren R.
    Doytchinova, Irini
    [J]. PROTEIN ENGINEERING DESIGN & SELECTION, 2013, 26 (10) : 631 - 634
  • [8] Bergmann CC, 1996, J IMMUNOL, V157, P3242
  • [9] The PSIPRED Protein Analysis Workbench: 20 years on
    Buchan, Daniel W. A.
    Jones, David T.
    [J]. NUCLEIC ACIDS RESEARCH, 2019, 47 (W1) : W402 - W407
  • [10] BUFFONI L, 2010, PARASITOL INT