Vaccinomics to Design a Multi-Epitopes Vaccine for Acinetobacter baumannii

Bibliographic Data

ID15467985
AuthorsMiraj Ud-din (Abasyn University), Aqel Albutti (0000-0001-8697-5340, Qassim University, corresponding author), Asad Ullah (0000-0002-8629-6281, Abasyn University), Saba Ismail (0000-0002-8793-2972, National University of Medical Sciences), Sajjad Ahmad (0000-0002-9903-9321, Abasyn University, corresponding author), Anam Naz (0000-0002-6514-5417, University of Lahore), Muhammad Khurram (0000-0002-8375-8532, Abasyn University), Mahboob Ul Haq (0000-0002-3709-3496, Abasyn University), Zobia Afsheen (Abasyn University), Youness El Bakri (0000-0002-5759-6568, South Ural State University), Muhammad Salman (0009-0007-6142-8464, Abasyn University), Bilal Shaker (0000-0002-3281-6982, Chung-Ang University), Muhammad Tahir ul Qamar (0000-0003-4832-4250, Government College University, Faisalabad)
Year2022
Volume19
Issue9
Pages5568-5568
Publication date2022-05-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19095568
PMID35564967
OpenAlexW4225403313
LanguageEN
References cited100

Antibiotic resistance (AR) is the result of microbes' natural evolution to withstand the action of antibiotics used against them. AR is rising to a high level across the globe, and novel resistant strains are emerging and spreading very fast. Acinetobacter baumannii is a multidrug resistant Gram-negative bacteria, responsible for causing severe nosocomial infections that are treated with several broad spectrum antibiotics: carbapenems, β-lactam, aminoglycosides, tetracycline, gentamicin, impanel, piperacillin, and amikacin. The A. baumannii genome is superplastic to acquire new resistant mechanisms and, as there is no vaccine in the development process for this pathogen, the situation is more worrisome. This study was conducted to identify protective antigens from the core genome of the pathogen. Genomic data of fully sequenced strains of A. baumannii were retrieved from the national center for biotechnological information (NCBI) database and subjected to various genomics, immunoinformatics, proteomics, and biophysical analyses to identify potential vaccine antigens against A. baumannii . By doing so, four outer membrane proteins were prioritized: TonB-dependent siderphore receptor, OmpA family protein, type IV pilus biogenesis stability protein, and OprD family outer membrane porin. Immuoinformatics predicted B-cell and T-cell epitopes from all four proteins. The antigenic epitopes were linked to design a multi-epitopes vaccine construct using GPGPG linkers and adjuvant cholera toxin B subunit to boost the immune responses. A 3D model of the vaccine construct was built, loop refined, and considered for extensive error examination. Disulfide engineering was performed for the stability of the vaccine construct. Blind docking of the vaccine was conducted with host MHC-I, MHC-II, and toll-like receptors 4 (TLR-4) molecules. Molecular dynamic simulation was carried out to understand the vaccine-receptors dynamics and binding stability, as well as to evaluate the presentation of epitopes to the host immune system. Binding energies estimation was achieved to understand intermolecular interaction energies and validate docking and simulation studies. The results suggested that the designed vaccine construct has high potential to induce protective host immune responses and can be a good vaccine candidate for experimental in vivo and in vitro studies

Acinetobacter baumannii · Antibiotic resistance · Antibiotics · Antigen · Bacteria · Biology · Epitope · Pseudomonas aeruginosa · Reverse vaccinology · Antibiotic Resistance in Bacteria · Pneumonia and Respiratory Infections · vaccines and immunoinformatics approaches · Genetics · Microbiology · Virology