A subunit vaccine against pneumonia: targeting Streptococcus pneumoniae and Klebsiella pneumoniae.

IF 2 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Network Modeling and Analysis in Health Informatics and Bioinformatics Pub Date : 2023-01-01 DOI:10.1007/s13721-023-00416-3
Md Oliullah Rafi, Khattab Al-Khafaji, Santi M Mandal, Nigar Sultana Meghla, Polash Kumar Biswas, Md Shahedur Rahman
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引用次数: 3

Abstract

Community-acquired pneumonia is primarily caused by Streptococcus pneumoniae and Klebsiella pneumoniae, two pathogens that have high morbidity and mortality rates. This is largely due to bacterial resistance development against current antibiotics and the lack of effective vaccines. The objective of this work was to develop an immunogenic multi-epitope subunit vaccine capable of eliciting a robust immune response against S. pneumoniae and K. pneumoniae. The targeted proteins were the pneumococcal surface proteins (PspA and PspC) and choline-binding protein (CbpA) of S. pneumoniae and the outer membrane proteins (OmpA and OmpW) of K. pneumoniae. Different computational approaches and various immune filters were employed for designing a vaccine. The immunogenicity and safety of the vaccine were evaluated by utilizing many physicochemical and antigenic profiles. To improve structural stability, disulfide engineering was applied to a portion of the vaccine structure with high mobility. Molecular docking was performed to examine the binding affinities and biological interactions at the atomic level between the vaccine and Toll-like receptors (TLR2 and 4). Further, the dynamic stabilities of the vaccine and TLRs complexes were investigated by molecular dynamics simulations. While the immune response induction capability of the vaccine was assessed by the immune simulation study. Vaccine translation and expression efficiency was determined through an in silico cloning experiment utilizing the pET28a(+) plasmid vector. The obtained results revealed that the designed vaccine is structurally stable and able to generate an effective immune response to combat pneumococcal infection.

Supplementary information: The online version contains supplementary material available at 10.1007/s13721-023-00416-3.

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一种针对肺炎链球菌和肺炎克雷伯菌的肺炎亚单位疫苗。
社区获得性肺炎主要由肺炎链球菌和肺炎克雷伯菌引起,这两种病原体的发病率和死亡率都很高。这主要是由于细菌对现有抗生素产生耐药性以及缺乏有效的疫苗。这项工作的目的是开发一种免疫原性多表位亚单位疫苗,能够引发对肺炎链球菌和肺炎克雷伯菌的强大免疫反应。目标蛋白为肺炎链球菌的肺炎球菌表面蛋白(PspA、PspC)、胆碱结合蛋白(CbpA)和肺炎克雷伯菌的外膜蛋白(OmpA、OmpW)。采用不同的计算方法和不同的免疫过滤器来设计疫苗。利用多种理化和抗原谱对疫苗的免疫原性和安全性进行了评价。为了提高结构稳定性,将二硫工程应用于高迁移率的部分疫苗结构。通过分子对接研究疫苗与toll样受体(TLR2和4)在原子水平上的结合亲和力和生物相互作用。此外,通过分子动力学模拟研究疫苗与TLRs复合物的动态稳定性。同时通过免疫模拟研究对疫苗的免疫反应诱导能力进行了评价。通过pET28a(+)质粒载体的硅克隆实验确定疫苗的翻译和表达效率。结果表明,所设计的疫苗结构稳定,能够产生有效的免疫应答来对抗肺炎球菌感染。补充信息:在线版本包含补充资料,下载地址:10.1007/s13721-023-00416-3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.40
自引率
4.30%
发文量
43
期刊介绍: NetMAHIB publishes original research articles and reviews reporting how graph theory, statistics, linear algebra and machine learning techniques can be effectively used for modelling and analysis in health informatics and bioinformatics. It aims at creating a synergy between these disciplines by providing a forum for disseminating the latest developments and research findings; hence, results can be shared with readers across institutions, governments, researchers, students, and the industry. The journal emphasizes fundamental contributions on new methodologies, discoveries and techniques that have general applicability and which form the basis for network based modelling, knowledge discovery, knowledge sharing and decision support to the benefit of patients, healthcare professionals and society in traditional and advanced emerging settings, including eHealth and mHealth .
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