{"title":"细胞内isg -病毒相互作用决定病毒感染的严重程度和持久性。","authors":"Anass Bouchnita , Vitaly Volpert","doi":"10.1016/j.jtbi.2025.112251","DOIUrl":null,"url":null,"abstract":"<div><div>In innate immune response, type I interferons (IFNs) activate interferon-stimulated genes (ISGs), which suppress viral replication and secretion at the intracellular level. Yet, how these ISG-virus interactions shape infection progression and severity remains poorly understood. Here, we introduce a new viral infection model that explicitly incorporates intracellular ISG-virus dynamics. It structures, for the first time, infected cells based on viral load and ISG expression which offers a computationally efficient and adaptable approach to integrating ISG-virus intracellular dynamics into viral kinetics frameworks. We validate this new approach using patient data for pre-alpha COVID-19 strain and an HIV, then we use it to study the impact of ISG-virus kinetics on viral infection severity and persistence. Our simulations reveal that increased ISG induction prolongs infection by suppressing type I IFN production in infected cells and preventing tissue cell depletion. We further show that effective ISG-mediated viral suppression is critical for controlling infection severity. Finally, the model predicts that moderate viral secretion optimizes viral load production. Overall, the developed framework offers a flexible and computationally efficient tool for exploring the impact of intracellular type I interferon signaling on viral infections. It can be easily adapted to specific diseases and extended with pharmacokinetics-pharmacodynamics models to identify key therapeutic targets for drug development.</div></div>","PeriodicalId":54763,"journal":{"name":"Journal of Theoretical Biology","volume":"616 ","pages":"Article 112251"},"PeriodicalIF":2.0000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intracellular ISG-virus interactions determine viral infection severity and persistence\",\"authors\":\"Anass Bouchnita , Vitaly Volpert\",\"doi\":\"10.1016/j.jtbi.2025.112251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In innate immune response, type I interferons (IFNs) activate interferon-stimulated genes (ISGs), which suppress viral replication and secretion at the intracellular level. Yet, how these ISG-virus interactions shape infection progression and severity remains poorly understood. Here, we introduce a new viral infection model that explicitly incorporates intracellular ISG-virus dynamics. It structures, for the first time, infected cells based on viral load and ISG expression which offers a computationally efficient and adaptable approach to integrating ISG-virus intracellular dynamics into viral kinetics frameworks. We validate this new approach using patient data for pre-alpha COVID-19 strain and an HIV, then we use it to study the impact of ISG-virus kinetics on viral infection severity and persistence. Our simulations reveal that increased ISG induction prolongs infection by suppressing type I IFN production in infected cells and preventing tissue cell depletion. We further show that effective ISG-mediated viral suppression is critical for controlling infection severity. Finally, the model predicts that moderate viral secretion optimizes viral load production. Overall, the developed framework offers a flexible and computationally efficient tool for exploring the impact of intracellular type I interferon signaling on viral infections. It can be easily adapted to specific diseases and extended with pharmacokinetics-pharmacodynamics models to identify key therapeutic targets for drug development.</div></div>\",\"PeriodicalId\":54763,\"journal\":{\"name\":\"Journal of Theoretical Biology\",\"volume\":\"616 \",\"pages\":\"Article 112251\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Theoretical Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022519325002176\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theoretical Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022519325002176","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
Intracellular ISG-virus interactions determine viral infection severity and persistence
In innate immune response, type I interferons (IFNs) activate interferon-stimulated genes (ISGs), which suppress viral replication and secretion at the intracellular level. Yet, how these ISG-virus interactions shape infection progression and severity remains poorly understood. Here, we introduce a new viral infection model that explicitly incorporates intracellular ISG-virus dynamics. It structures, for the first time, infected cells based on viral load and ISG expression which offers a computationally efficient and adaptable approach to integrating ISG-virus intracellular dynamics into viral kinetics frameworks. We validate this new approach using patient data for pre-alpha COVID-19 strain and an HIV, then we use it to study the impact of ISG-virus kinetics on viral infection severity and persistence. Our simulations reveal that increased ISG induction prolongs infection by suppressing type I IFN production in infected cells and preventing tissue cell depletion. We further show that effective ISG-mediated viral suppression is critical for controlling infection severity. Finally, the model predicts that moderate viral secretion optimizes viral load production. Overall, the developed framework offers a flexible and computationally efficient tool for exploring the impact of intracellular type I interferon signaling on viral infections. It can be easily adapted to specific diseases and extended with pharmacokinetics-pharmacodynamics models to identify key therapeutic targets for drug development.
期刊介绍:
The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including:
• Brain and Neuroscience
• Cancer Growth and Treatment
• Cell Biology
• Developmental Biology
• Ecology
• Evolution
• Immunology,
• Infectious and non-infectious Diseases,
• Mathematical, Computational, Biophysical and Statistical Modeling
• Microbiology, Molecular Biology, and Biochemistry
• Networks and Complex Systems
• Physiology
• Pharmacodynamics
• Animal Behavior and Game Theory
Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.