Computational Biology Lab, National Center for Bioinformatics (NCB), Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Computational Biology Lab, National Center for Bioinformatics (NCB), Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Eur J Pharm Sci. 2020 Apr 15;146:105258. doi: 10.1016/j.ejps.2020.105258. Epub 2020 Feb 5.
Healthcare associated infections (HAIs) are major cause of elevated mortality, morbidity, and high healthcare costs. Development of a vaccine targeting these pathogens could benefit in reducing HAIs count and excessive use of antibiotics. This work aimed to design a multi-epitope based prophylactic/ therapeutic vaccine directing against carbapenem resistant Enterobacter cloacae and other leading nosocomial members of Enterobacteriaceae group. Based on subtractive proteomics and immunoinformatics in-depth investigation of E. cloacae reference proteome, we prioritize four targets: outer membrane usher protein-lpfC, putative outer membrane protein A-OmpA, putative outer membrane protein-FimD, and arginine transporter fulfilling criteria of vaccine candidacy. A multi-epitope peptide vaccine construct is then formulated comprising predicted epitopes with potential to evoke both innate and adaptive immunity and B-subunit of cholera toxin as an adjuvant. The construct is modelled, loop refined, improved for stability via disulfide engineering and optimized for codon usage as per Escherichia coli expression system to ensure its maximum expression. Cross-conservation analysis carried out to evaluate broad-spectrum applicability by providing cross protection against nosocomial pathogens. A blind docking method is applied further to predict predominant binding mode of the construct with TLR4 innate immune receptor, followed by molecular dynamics simulation protocol to probe complex dynamics and exposed topology of the construct epitopes for recognition and immune processing by the host. Towards the end, binding free energies of the vaccine construct-TLR4 receptor were estimated to test docking predictions and affirm complex stability. We believe these findings to be highly useful for vaccinologists in making a highly effective vaccine for E. cloacae specifically, and other notorious Enterobacteriaceae nosocomial pathogens in general.
医疗保健相关感染(HAIs)是导致死亡率、发病率和医疗保健成本增加的主要原因。开发针对这些病原体的疫苗可能有助于减少 HAI 的数量和抗生素的过度使用。本工作旨在设计一种针对碳青霉烯类耐药肠杆菌科的多表位预防性/治疗性疫苗和其他主要医院获得性肠杆菌科成员。基于消减蛋白质组学和免疫信息学对肠杆菌科参考蛋白质组的深入研究,我们确定了四个目标:外膜导蛋白-lpfC、假定外膜蛋白 A-OmpA、假定外膜蛋白-FimD 和精氨酸转运蛋白,这些目标符合疫苗候选标准。然后,我们构建了一种多表位肽疫苗,包含具有诱导先天和适应性免疫潜力的预测表位和霍乱毒素 B 亚单位作为佐剂。该构建体经过建模、环精炼、通过二硫键工程提高稳定性,并根据大肠杆菌表达系统进行密码子优化,以确保其最大表达。进行了交叉保守性分析,以通过提供针对医院病原体的交叉保护来评估广谱适用性。进一步应用盲目对接方法预测构建体与 TLR4 先天免疫受体的主要结合模式,然后进行分子动力学模拟方案,以探测构建体表位的复杂动力学和暴露拓扑结构,以识别和免疫处理宿主。最后,估计了疫苗构建体-TLR4 受体的结合自由能,以验证对接预测并确认复合物的稳定性。我们相信这些发现对于疫苗学家来说非常有用,可以针对肠杆菌科,特别是其他臭名昭著的医院获得性肠杆菌科病原体,开发出一种非常有效的疫苗。