Bo Tan, Tao Chen, Peng Song, Feng Lin, Shuangyin He, Shiyuan Zhang, Xiaohong Yin
{"title":"自发性脑出血患者肺部感染相关炎症因子与TLR4/NF-κB信号通路的相互作用","authors":"Bo Tan, Tao Chen, Peng Song, Feng Lin, Shuangyin He, Shiyuan Zhang, Xiaohong Yin","doi":"10.1016/j.cyto.2024.156851","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the interaction of inflammatory factors related to pulmonary infection and the TLR4/NF-κB signaling pathway in patients with spontaneous intracerebral hemorrhage (ICH).</p><p><strong>Methods: </strong>A total of 325 critically ill ICH patients treated in our hospital from May 2021 to February 2024 were selected for this study. Based on whether the patient developed a pulmonary infection during treatment, they were divided into the infection group (n = 86) and the non-infection group (n = 239). The distribution characteristics of pathogens were observed, and changes in serum and defensin, hs-CRP, IL-4, TLR4 mRNA, and NF-κB mRNA were compared. Pearson correlation analysis was used to analyze the relationship between serum defensin, inflammatory factors, and the TLR4/NF-κB signaling pathway. A logistic regression model was used to construct a combined prediction model with defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, and NF-κB mRNA. ROC curves were drawn to analyze the area under the curve (AUC), sensitivity, and specificity of defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, NF-κB mRNA, and the six combined parameters for predicting pulmonary infection in critically ill ICH patients.</p><p><strong>Results: </strong>In 86 ICH patients with pulmonary infection, 94 strains of pathogens were isolated, with 28 (29.79 %) Gram-positive bacteria, 58 (61.70 %) Gram-negative bacteria, and 8 (8.51 %) fungi. The levels of defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, and NF-κB mRNA in the infection group were significantly higher than those in the non-infection group (P < 0.05). Pearson correlation analysis showed that defensin, hs-CRP, IL-4, and HMGB1 were positively correlated with TLR4 mRNA and NF-κB mRNA (P < 0.05). ROC curve analysis showed that the AUC values for defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, NF-κB mRNA, and the six combined parameters for predicting pulmonary infection were 0.789, 0.778, 0.690, 0.792, 0.741, 0.750, and 0.870, respectively.</p><p><strong>Conclusion: </strong>The main pathogens causing pulmonary infection in critically ill ICH patients are Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Staphylococcus aureus, and Streptococcus hemolyticus. Defensin, hs-CRP, IL-4, HMGB1, and other indicators are influenced by the TLR4/NF-κB signaling pathway in patients with secondary pulmonary infection.</p>","PeriodicalId":297,"journal":{"name":"Cytokine","volume":"186 ","pages":"156851"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interaction of inflammatory factors related to pulmonary infection and TLR4/NF-κB signaling pathway in patients with spontaneous intracerebral hemorrhage.\",\"authors\":\"Bo Tan, Tao Chen, Peng Song, Feng Lin, Shuangyin He, Shiyuan Zhang, Xiaohong Yin\",\"doi\":\"10.1016/j.cyto.2024.156851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the interaction of inflammatory factors related to pulmonary infection and the TLR4/NF-κB signaling pathway in patients with spontaneous intracerebral hemorrhage (ICH).</p><p><strong>Methods: </strong>A total of 325 critically ill ICH patients treated in our hospital from May 2021 to February 2024 were selected for this study. Based on whether the patient developed a pulmonary infection during treatment, they were divided into the infection group (n = 86) and the non-infection group (n = 239). The distribution characteristics of pathogens were observed, and changes in serum and defensin, hs-CRP, IL-4, TLR4 mRNA, and NF-κB mRNA were compared. Pearson correlation analysis was used to analyze the relationship between serum defensin, inflammatory factors, and the TLR4/NF-κB signaling pathway. A logistic regression model was used to construct a combined prediction model with defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, and NF-κB mRNA. ROC curves were drawn to analyze the area under the curve (AUC), sensitivity, and specificity of defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, NF-κB mRNA, and the six combined parameters for predicting pulmonary infection in critically ill ICH patients.</p><p><strong>Results: </strong>In 86 ICH patients with pulmonary infection, 94 strains of pathogens were isolated, with 28 (29.79 %) Gram-positive bacteria, 58 (61.70 %) Gram-negative bacteria, and 8 (8.51 %) fungi. The levels of defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, and NF-κB mRNA in the infection group were significantly higher than those in the non-infection group (P < 0.05). Pearson correlation analysis showed that defensin, hs-CRP, IL-4, and HMGB1 were positively correlated with TLR4 mRNA and NF-κB mRNA (P < 0.05). ROC curve analysis showed that the AUC values for defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, NF-κB mRNA, and the six combined parameters for predicting pulmonary infection were 0.789, 0.778, 0.690, 0.792, 0.741, 0.750, and 0.870, respectively.</p><p><strong>Conclusion: </strong>The main pathogens causing pulmonary infection in critically ill ICH patients are Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Staphylococcus aureus, and Streptococcus hemolyticus. Defensin, hs-CRP, IL-4, HMGB1, and other indicators are influenced by the TLR4/NF-κB signaling pathway in patients with secondary pulmonary infection.</p>\",\"PeriodicalId\":297,\"journal\":{\"name\":\"Cytokine\",\"volume\":\"186 \",\"pages\":\"156851\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cytokine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cyto.2024.156851\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cytokine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.cyto.2024.156851","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/3 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Interaction of inflammatory factors related to pulmonary infection and TLR4/NF-κB signaling pathway in patients with spontaneous intracerebral hemorrhage.
Objective: To investigate the interaction of inflammatory factors related to pulmonary infection and the TLR4/NF-κB signaling pathway in patients with spontaneous intracerebral hemorrhage (ICH).
Methods: A total of 325 critically ill ICH patients treated in our hospital from May 2021 to February 2024 were selected for this study. Based on whether the patient developed a pulmonary infection during treatment, they were divided into the infection group (n = 86) and the non-infection group (n = 239). The distribution characteristics of pathogens were observed, and changes in serum and defensin, hs-CRP, IL-4, TLR4 mRNA, and NF-κB mRNA were compared. Pearson correlation analysis was used to analyze the relationship between serum defensin, inflammatory factors, and the TLR4/NF-κB signaling pathway. A logistic regression model was used to construct a combined prediction model with defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, and NF-κB mRNA. ROC curves were drawn to analyze the area under the curve (AUC), sensitivity, and specificity of defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, NF-κB mRNA, and the six combined parameters for predicting pulmonary infection in critically ill ICH patients.
Results: In 86 ICH patients with pulmonary infection, 94 strains of pathogens were isolated, with 28 (29.79 %) Gram-positive bacteria, 58 (61.70 %) Gram-negative bacteria, and 8 (8.51 %) fungi. The levels of defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, and NF-κB mRNA in the infection group were significantly higher than those in the non-infection group (P < 0.05). Pearson correlation analysis showed that defensin, hs-CRP, IL-4, and HMGB1 were positively correlated with TLR4 mRNA and NF-κB mRNA (P < 0.05). ROC curve analysis showed that the AUC values for defensin, hs-CRP, IL-4, HMGB1, TLR4 mRNA, NF-κB mRNA, and the six combined parameters for predicting pulmonary infection were 0.789, 0.778, 0.690, 0.792, 0.741, 0.750, and 0.870, respectively.
Conclusion: The main pathogens causing pulmonary infection in critically ill ICH patients are Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Staphylococcus aureus, and Streptococcus hemolyticus. Defensin, hs-CRP, IL-4, HMGB1, and other indicators are influenced by the TLR4/NF-κB signaling pathway in patients with secondary pulmonary infection.
期刊介绍:
The journal Cytokine has an open access mirror journal Cytokine: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
* Devoted exclusively to the study of the molecular biology, genetics, biochemistry, immunology, genome-wide association studies, pathobiology, diagnostic and clinical applications of all known interleukins, hematopoietic factors, growth factors, cytotoxins, interferons, new cytokines, and chemokines, Cytokine provides comprehensive coverage of cytokines and their mechanisms of actions, 12 times a year by publishing original high quality refereed scientific papers from prominent investigators in both the academic and industrial sectors.
We will publish 3 major types of manuscripts:
1) Original manuscripts describing research results.
2) Basic and clinical reviews describing cytokine actions and regulation.
3) Short commentaries/perspectives on recently published aspects of cytokines, pathogenesis and clinical results.