Anahita Hessami , Mona Moosavi , Fatemeh Rahim , Zahra Mogharari , Mahdieh Heidari , Farnoosh Farzam , Mohammad Reza Rahbar
{"title":"合理设计针对保守FiuA的多表位候选疫苗,广泛保护铜绿假单胞菌","authors":"Anahita Hessami , Mona Moosavi , Fatemeh Rahim , Zahra Mogharari , Mahdieh Heidari , Farnoosh Farzam , Mohammad Reza Rahbar","doi":"10.1016/j.compbiomed.2025.111170","DOIUrl":null,"url":null,"abstract":"<div><div><em>Pseudomonas aeruginosa</em> is a significant opportunistic pathogen, and developing a broadly protective vaccine has been hindered by its antigenic variability and immune evasion mechanisms. This study presents a rationally designed multi-epitope vaccine construct targeting the highly conserved iron acquisition protein FiuA to overcome these challenges. Our approach incorporates conserved epitope selection, epitope reciprocity (pairing B-cell epitopes with HLA class II T-cell epitopes), and optimized epitope density to maximize both cellular and humoral immune responses. We identified conserved B-cell and T-cell epitopes from FiuA and designed a construct incorporating a self-assembling peptide unit to enhance antigen presentation. In silico modeling predicts strong HLA binding affinities and broad population coverage. The resulting construct mimics pathogen-associated molecular patterns and is predicted to stimulate a robust, cross-protective immune response. This innovative strategy addresses limitations of previous <em>P. aeruginosa</em> vaccine efforts and offers a promising avenue for developing a broadly effective vaccine, warranting further experimental validation for its immunogenicity and protective efficacy.</div></div>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"198 ","pages":"Article 111170"},"PeriodicalIF":6.3000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A rationally designed multi-epitope vaccine candidate targeting conserved FiuA for broad Pseudomonas aeruginosa protection\",\"authors\":\"Anahita Hessami , Mona Moosavi , Fatemeh Rahim , Zahra Mogharari , Mahdieh Heidari , Farnoosh Farzam , Mohammad Reza Rahbar\",\"doi\":\"10.1016/j.compbiomed.2025.111170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><em>Pseudomonas aeruginosa</em> is a significant opportunistic pathogen, and developing a broadly protective vaccine has been hindered by its antigenic variability and immune evasion mechanisms. This study presents a rationally designed multi-epitope vaccine construct targeting the highly conserved iron acquisition protein FiuA to overcome these challenges. Our approach incorporates conserved epitope selection, epitope reciprocity (pairing B-cell epitopes with HLA class II T-cell epitopes), and optimized epitope density to maximize both cellular and humoral immune responses. We identified conserved B-cell and T-cell epitopes from FiuA and designed a construct incorporating a self-assembling peptide unit to enhance antigen presentation. In silico modeling predicts strong HLA binding affinities and broad population coverage. The resulting construct mimics pathogen-associated molecular patterns and is predicted to stimulate a robust, cross-protective immune response. This innovative strategy addresses limitations of previous <em>P. aeruginosa</em> vaccine efforts and offers a promising avenue for developing a broadly effective vaccine, warranting further experimental validation for its immunogenicity and protective efficacy.</div></div>\",\"PeriodicalId\":10578,\"journal\":{\"name\":\"Computers in biology and medicine\",\"volume\":\"198 \",\"pages\":\"Article 111170\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in biology and medicine\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0010482525015239\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in biology and medicine","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010482525015239","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
A rationally designed multi-epitope vaccine candidate targeting conserved FiuA for broad Pseudomonas aeruginosa protection
Pseudomonas aeruginosa is a significant opportunistic pathogen, and developing a broadly protective vaccine has been hindered by its antigenic variability and immune evasion mechanisms. This study presents a rationally designed multi-epitope vaccine construct targeting the highly conserved iron acquisition protein FiuA to overcome these challenges. Our approach incorporates conserved epitope selection, epitope reciprocity (pairing B-cell epitopes with HLA class II T-cell epitopes), and optimized epitope density to maximize both cellular and humoral immune responses. We identified conserved B-cell and T-cell epitopes from FiuA and designed a construct incorporating a self-assembling peptide unit to enhance antigen presentation. In silico modeling predicts strong HLA binding affinities and broad population coverage. The resulting construct mimics pathogen-associated molecular patterns and is predicted to stimulate a robust, cross-protective immune response. This innovative strategy addresses limitations of previous P. aeruginosa vaccine efforts and offers a promising avenue for developing a broadly effective vaccine, warranting further experimental validation for its immunogenicity and protective efficacy.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.