{"title":"探索之旅:肺炎克雷伯氏菌疫苗研发综述。","authors":"Bruno Douradinha","doi":"10.1016/j.micres.2024.127837","DOIUrl":null,"url":null,"abstract":"<div><p><em>Klebsiella pneumoniae</em>, a prominent nosocomial pathogen, poses a critical global health threat due to its multidrug-resistant (MDR) and hypervirulent strains. This comprehensive review focuses into the complex approaches undertaken in the development of vaccines against <em>K. pneumoniae</em>. Traditional methods, such as whole-cell and ribosomal-based vaccines, are compared with modern strategies, including DNA and mRNA vaccines, and extracellular vesicles (EVs), among others. Each method presents unique advantages and challenges, emphasising the complexity of developing an effective vaccine against this pathogen. Significant advancements in computational tools and artificial intelligence (AI) have revolutionised antigen identification and vaccine design, enhancing the precision and efficiency of developing multiepitope-based vaccines. The review also highlights the potential of glycomics and immunoinformatics in identifying key antigenic components and elucidating immune evasion mechanisms employed by <em>K. pneumoniae</em>. Despite progress, challenges remain in ensuring the safety, efficacy, and manufacturability of these vaccines. Notably, EVs demonstrate promise due to their intrinsic adjuvant properties and ability to elicit robust immune responses, although concerns regarding inflammation and antigen variability persist. This review provides a critical overview of the current landscape of <em>K. pneumoniae</em> vaccine development, stressing the need for continued innovation and interdisciplinary collaboration to address this pressing public health issue. The integration of advanced computational methods and AI holds the potential to accelerate the development of effective immunotherapies, paving the way for novel vaccines against MDR <em>K. pneumoniae</em>.</p></div>","PeriodicalId":18564,"journal":{"name":"Microbiological research","volume":"287 ","pages":"Article 127837"},"PeriodicalIF":6.1000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the journey: A comprehensive review of vaccine development against Klebsiella pneumoniae\",\"authors\":\"Bruno Douradinha\",\"doi\":\"10.1016/j.micres.2024.127837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><em>Klebsiella pneumoniae</em>, a prominent nosocomial pathogen, poses a critical global health threat due to its multidrug-resistant (MDR) and hypervirulent strains. This comprehensive review focuses into the complex approaches undertaken in the development of vaccines against <em>K. pneumoniae</em>. Traditional methods, such as whole-cell and ribosomal-based vaccines, are compared with modern strategies, including DNA and mRNA vaccines, and extracellular vesicles (EVs), among others. Each method presents unique advantages and challenges, emphasising the complexity of developing an effective vaccine against this pathogen. Significant advancements in computational tools and artificial intelligence (AI) have revolutionised antigen identification and vaccine design, enhancing the precision and efficiency of developing multiepitope-based vaccines. The review also highlights the potential of glycomics and immunoinformatics in identifying key antigenic components and elucidating immune evasion mechanisms employed by <em>K. pneumoniae</em>. Despite progress, challenges remain in ensuring the safety, efficacy, and manufacturability of these vaccines. Notably, EVs demonstrate promise due to their intrinsic adjuvant properties and ability to elicit robust immune responses, although concerns regarding inflammation and antigen variability persist. This review provides a critical overview of the current landscape of <em>K. pneumoniae</em> vaccine development, stressing the need for continued innovation and interdisciplinary collaboration to address this pressing public health issue. The integration of advanced computational methods and AI holds the potential to accelerate the development of effective immunotherapies, paving the way for novel vaccines against MDR <em>K. pneumoniae</em>.</p></div>\",\"PeriodicalId\":18564,\"journal\":{\"name\":\"Microbiological research\",\"volume\":\"287 \",\"pages\":\"Article 127837\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microbiological research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0944501324002386\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbiological research","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0944501324002386","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
肺炎克雷伯菌是一种常见的医院病原体,由于其具有多重耐药性(MDR)和高病毒性菌株,对全球健康构成了严重威胁。本综述重点介绍了开发肺炎克雷伯菌疫苗的复杂方法。将全细胞疫苗和基于核糖体的疫苗等传统方法与 DNA 和 mRNA 疫苗以及细胞外囊泡 (EVs) 等现代策略进行了比较。每种方法都有其独特的优势和挑战,凸显了针对这种病原体开发有效疫苗的复杂性。计算工具和人工智能(AI)的重大进步彻底改变了抗原鉴定和疫苗设计,提高了开发基于多位点的疫苗的精确性和效率。综述还强调了糖学和免疫信息学在识别关键抗原成分和阐明肺炎克雷伯菌所采用的免疫逃避机制方面的潜力。尽管取得了进展,但在确保这些疫苗的安全性、有效性和可制造性方面仍存在挑战。值得注意的是,EVs 因其固有的佐剂特性和诱导强大免疫反应的能力而大有可为,但人们对炎症和抗原变异性的担忧依然存在。本综述对肺炎克氏菌疫苗开发的现状进行了重要概述,强调了持续创新和跨学科合作的必要性,以解决这一紧迫的公共卫生问题。先进计算方法与人工智能的结合有可能加速有效免疫疗法的开发,为针对 MDR 肺炎克氏菌的新型疫苗铺平道路。
Exploring the journey: A comprehensive review of vaccine development against Klebsiella pneumoniae
Klebsiella pneumoniae, a prominent nosocomial pathogen, poses a critical global health threat due to its multidrug-resistant (MDR) and hypervirulent strains. This comprehensive review focuses into the complex approaches undertaken in the development of vaccines against K. pneumoniae. Traditional methods, such as whole-cell and ribosomal-based vaccines, are compared with modern strategies, including DNA and mRNA vaccines, and extracellular vesicles (EVs), among others. Each method presents unique advantages and challenges, emphasising the complexity of developing an effective vaccine against this pathogen. Significant advancements in computational tools and artificial intelligence (AI) have revolutionised antigen identification and vaccine design, enhancing the precision and efficiency of developing multiepitope-based vaccines. The review also highlights the potential of glycomics and immunoinformatics in identifying key antigenic components and elucidating immune evasion mechanisms employed by K. pneumoniae. Despite progress, challenges remain in ensuring the safety, efficacy, and manufacturability of these vaccines. Notably, EVs demonstrate promise due to their intrinsic adjuvant properties and ability to elicit robust immune responses, although concerns regarding inflammation and antigen variability persist. This review provides a critical overview of the current landscape of K. pneumoniae vaccine development, stressing the need for continued innovation and interdisciplinary collaboration to address this pressing public health issue. The integration of advanced computational methods and AI holds the potential to accelerate the development of effective immunotherapies, paving the way for novel vaccines against MDR K. pneumoniae.
期刊介绍:
Microbiological Research is devoted to publishing reports on prokaryotic and eukaryotic microorganisms such as yeasts, fungi, bacteria, archaea, and protozoa. Research on interactions between pathogenic microorganisms and their environment or hosts are also covered.