Immunoinformatics-driven multi-epitope vaccine design as a promising strategy against multidrug-resistant pathogens: a comprehensive review.

IF 3.1 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Rameen Nasir, Muhammad Mutayyab Javaid, Raheen Rahman, Rimsha Abbasi, Muneeb Khalid, Muhammad Arslan, Muhammad Amjad Sajjad, Ahsan Ibrahim
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引用次数: 0

Abstract

Infections caused by multidrug-resistant (MDR) pathogens, both gram-negative and gram-positive organisms, have transformed into a silent global pandemic. These pathogens, especially ESKAPE pathogens, exhibit wide resistance patterns to several clinically significant antibiotics. This has decreased the effectiveness of already available antibiotics, increasing mortality, morbidity, economic burden and prolonged hospital stay. As the discovery of new antibiotics is an extensive and time-consuming process, an urgent need for innovative and practical preventive strategies arises. This review emphasizes the need, advancement and practicality of immunoinformatic tools and in silico vaccine designing and development against MDR pathogens. Research shows that MDR pathogens demonstrate a variety of resistance pathways, including target alteration, enzymatic degradation and efflux pumps, to tolerate therapeutically available antibiotics. The notable benefits of in silico vaccine designing include rapid identification of conserved antigens, even in variable pathogens, epitope prediction with antigenic potential, population coverage across various populations, less time, cost and improved precision in creating a multi-epitope vaccine against these MDR pathogens. Moreover, molecular docking, molecular dynamic simulations, immune simulations and expression analysis assist in predicting the molecular behavior of the designed vaccine. The increasing prevalence of MDR infections emphasizes the critical need for prevention measures rather than conventional therapy options. Use of immunoinformatics and in silico approaches presents a potent, efficient and cost-effective method to design and create multi-epitope vaccines against MDR pathogens. However, limitations such as false positives, reproducibility concerns with varying software and potential bias due to the use of curated databases in reverse vaccinology may pose a challenge. Incorporation of in silico vaccine development in future research can play a pivotal role in combating antimicrobial resistance and improving health outcomes globally.

免疫信息学驱动的多表位疫苗设计作为对抗多药耐药病原体的一种有前途的策略:全面综述
由耐多药(MDR)病原体(包括革兰氏阴性和革兰氏阳性有机体)引起的感染已转变为无声的全球大流行。这些病原体,特别是ESKAPE病原体,对几种临床上重要的抗生素表现出广泛的耐药模式。这降低了现有抗生素的有效性,增加了死亡率、发病率、经济负担和住院时间。由于新抗生素的发现是一个广泛而耗时的过程,因此迫切需要创新和实用的预防战略。这篇综述强调了免疫信息学工具和针对耐多药病原体的硅疫苗设计和开发的必要性、进展和实用性。研究表明,耐多药病原体表现出多种耐药途径,包括靶标改变、酶降解和外排泵,以耐受治疗上可用的抗生素。硅疫苗设计的显著好处包括:即使在可变病原体中也能快速鉴定保守抗原、具有抗原潜力的表位预测、在不同人群中覆盖人口、在针对这些耐多药病原体制造多表位疫苗时更少的时间、成本和更高的精度。此外,分子对接、分子动力学模拟、免疫模拟和表达分析有助于预测所设计疫苗的分子行为。耐多药感染的日益流行强调了采取预防措施而不是常规治疗方案的迫切需要。利用免疫信息学和计算机方法提出了一种有效、高效和具有成本效益的方法来设计和制造针对耐多药病原体的多表位疫苗。然而,诸如假阳性、不同软件的可重复性问题以及由于在反向疫苗学中使用策划数据库而产生的潜在偏差等局限性可能构成挑战。在未来的研究中纳入硅疫苗的开发可以在对抗抗菌素耐药性和改善全球健康结果方面发挥关键作用。
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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来源期刊
Folia microbiologica
Folia microbiologica 工程技术-生物工程与应用微生物
CiteScore
5.80
自引率
0.00%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Unlike journals which specialize ever more narrowly, Folia Microbiologica (FM) takes an open approach that spans general, soil, medical and industrial microbiology, plus some branches of immunology. This English-language journal publishes original papers, reviews and mini-reviews, short communications and book reviews. The coverage includes cutting-edge methods and promising new topics, as well as studies using established methods that exhibit promise in practical applications such as medicine, animal husbandry and more. The coverage of FM is expanding beyond Central and Eastern Europe, with a growing proportion of its contents contributed by international authors.
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