{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T04:20:57Z","timestamp":1770092457437,"version":"3.49.0"},"reference-count":72,"publisher":"S. Karger AG","issue":"2","license":[{"start":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T00:00:00Z","timestamp":1748908800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/karger.com\/pages\/terms-and-conditions"},{"start":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T00:00:00Z","timestamp":1748908800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/karger.com\/pages\/terms-and-conditions"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int Arch Allergy Immunol"],"abstract":"<jats:p>Introduction: Ubiquitination and immune regulation play an important role in sepsis. The purpose of this study was to explore the potential value of ubiquitination- and immune-related genes in sepsis and develop a risk score prognostic model based on sepsis ubiquitination- and immune-related genes for accurate outcome prediction and better treatment guidance. Methods: Differential expression and univariate Cox analyses were used to identify ubiquitination- and immune-related DEGs related to prognosis, and then a risk model was constructed using LASSO regression analysis. Subsequently, Kaplan-Meier analysis, time-dependent ROC curve analysis, immune cell infiltration analysis, functional enrichment analysis, drug prediction, and molecular docking were performed. Results: A total of 4 ubiquitination- and immune-related DEGs related to the prognosis of sepsis were identified. A risk score model was constructed based on these 4 genes. The proportion of death samples in the high-risk score group was higher and the OS was worse. The risk score was an independent prognostic factor for sepsis. The time-dependent ROC curve indicated that the risk score model had good predictive ability. The results of ssGSEA and GSEA showed that most immune cell infiltration levels decreased and immune- and inflammation-related pathways showed inhibitory states in the high-risk group. In addition, 7 protein-drug docking results were obtained. The binding energy of LCK and JNJ-26483327 was the lowest. Conclusion: The 4 ubiquitination- and immune-related model genes may play an important role in sepsis by regulating immune cell infiltration and immune- and inflammatory-related pathways. The model constructed based on these 4 genes has good predictive value, which may help clinical doctors better evaluate the prognosis of sepsis patients and develop personalized treatment plans.<\/jats:p>","DOI":"10.1159\/000546306","type":"journal-article","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T12:03:05Z","timestamp":1748952185000},"page":"179-198","source":"Crossref","is-referenced-by-count":0,"title":["A Risk Score Prognostic Model Based on four Ubiquitination- and Immune-Related Genes in Sepsis for Outcome Prediction and Treatment 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