{"title":"血清细胞因子分析揭示慢性乙型肝炎发展为肝硬化的预测因素。","authors":"F Cai, Y Zhao, Q Chen, Y Hu, S Su, Y Lu","doi":"10.14712/fb2021067010028","DOIUrl":null,"url":null,"abstract":"<p><p>Hepatitis B virus (HBV) infection is more likely to develop into chronic and persistent infection in China, which is the main cause of chronic liver disease. We examined the cytokine profiles of chronic hepatitis B (CHB) and CHB-caused liver cirrhosis (LC) to look for the predictor of progression from CHB to LC. Serum samples of 15 healthy controls (HC), 15 CHB patients and 15 LC patients were collected to detect the profiles of 48 cytokines by multiplex biometric ELISA-based immunoassay. Partial least squares discriminant analysis (PLS-DA) and random forest were used to analyse significant cytokines, which were further validated by ELISA using an independent cohort of 60 CHB patients, 60 LC patients and 35 HC samples. There were 18 differentially expressed cytokines of CHB and LC. Three cytokines were identified by PLS-DA and random forest, including interleukin (IL)-9, granulocyte-macrophage colony-stimulating factor (GM-CSF) and IL-2 receptor subunit α (IL-2Rα), which displayed significant changes in serum levels. Differentially expressed cytokine networks between HC, CHB and LC also indicated particular cytokine co-expression network patterns of CHB and LC. The receiver-operator characteristic (ROC) analysis demonstrated that IL-9, GM-CSF, IL-2Rα and their logistic regression panel are potential predictors that significantly differentiate CHB from LC (P < 0.001) and CHB from Child class A LC (P < 0.001). The three cytokines and the panel showed significant correlation with the Child-Pugh score. IL-9, GM-CSF, IL-2Rα and their logistic panel may be predictors for monitoring the progression of CHB to LC.</p>","PeriodicalId":12281,"journal":{"name":"Folia Biologica","volume":"67 1","pages":"28-36"},"PeriodicalIF":1.1000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Serum Cytokine Analysis Reveals Predictors of Progression from Chronic Hepatitis B to Liver Cirrhosis.\",\"authors\":\"F Cai, Y Zhao, Q Chen, Y Hu, S Su, Y Lu\",\"doi\":\"10.14712/fb2021067010028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Hepatitis B virus (HBV) infection is more likely to develop into chronic and persistent infection in China, which is the main cause of chronic liver disease. We examined the cytokine profiles of chronic hepatitis B (CHB) and CHB-caused liver cirrhosis (LC) to look for the predictor of progression from CHB to LC. Serum samples of 15 healthy controls (HC), 15 CHB patients and 15 LC patients were collected to detect the profiles of 48 cytokines by multiplex biometric ELISA-based immunoassay. Partial least squares discriminant analysis (PLS-DA) and random forest were used to analyse significant cytokines, which were further validated by ELISA using an independent cohort of 60 CHB patients, 60 LC patients and 35 HC samples. There were 18 differentially expressed cytokines of CHB and LC. Three cytokines were identified by PLS-DA and random forest, including interleukin (IL)-9, granulocyte-macrophage colony-stimulating factor (GM-CSF) and IL-2 receptor subunit α (IL-2Rα), which displayed significant changes in serum levels. Differentially expressed cytokine networks between HC, CHB and LC also indicated particular cytokine co-expression network patterns of CHB and LC. The receiver-operator characteristic (ROC) analysis demonstrated that IL-9, GM-CSF, IL-2Rα and their logistic regression panel are potential predictors that significantly differentiate CHB from LC (P < 0.001) and CHB from Child class A LC (P < 0.001). The three cytokines and the panel showed significant correlation with the Child-Pugh score. IL-9, GM-CSF, IL-2Rα and their logistic panel may be predictors for monitoring the progression of CHB to LC.</p>\",\"PeriodicalId\":12281,\"journal\":{\"name\":\"Folia Biologica\",\"volume\":\"67 1\",\"pages\":\"28-36\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Folia Biologica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.14712/fb2021067010028\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Folia Biologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.14712/fb2021067010028","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
乙型肝炎病毒(HBV)感染在中国更容易发展为慢性和持续性感染,是慢性肝病的主要原因。我们检查了慢性乙型肝炎(CHB)和慢性乙型肝炎引起的肝硬化(LC)的细胞因子谱,以寻找从慢性乙型肝炎到LC进展的预测因子。收集15例健康对照(HC)、15例慢性乙型肝炎(CHB)和15例LC患者的血清样本,采用elisa法检测48种细胞因子。采用偏最小二乘判别分析(PLS-DA)和随机森林分析显著细胞因子,并通过ELISA对60例CHB患者、60例LC患者和35例HC样本进行独立队列验证。CHB和LC有18种不同表达的细胞因子。通过PLS-DA和随机森林鉴定出白细胞介素(IL)-9、粒细胞-巨噬细胞集落刺激因子(GM-CSF)和IL-2受体亚单位α (IL- 2r α) 3种细胞因子,血清水平发生显著变化。HC、CHB和LC之间细胞因子网络的差异表达也表明了CHB和LC特定的细胞因子共表达网络模式。受试者-操作者特征(ROC)分析显示,IL-9、GM-CSF、IL-2Rα及其logistic回归面板是区分CHB与LC (P < 0.001)和CHB与Child class A LC (P < 0.001)的潜在预测因子。三种细胞因子和panel与Child-Pugh评分有显著相关性。IL-9、GM-CSF、IL-2Rα及其logistic panel可能是监测CHB向LC进展的预测因子。
Serum Cytokine Analysis Reveals Predictors of Progression from Chronic Hepatitis B to Liver Cirrhosis.
Hepatitis B virus (HBV) infection is more likely to develop into chronic and persistent infection in China, which is the main cause of chronic liver disease. We examined the cytokine profiles of chronic hepatitis B (CHB) and CHB-caused liver cirrhosis (LC) to look for the predictor of progression from CHB to LC. Serum samples of 15 healthy controls (HC), 15 CHB patients and 15 LC patients were collected to detect the profiles of 48 cytokines by multiplex biometric ELISA-based immunoassay. Partial least squares discriminant analysis (PLS-DA) and random forest were used to analyse significant cytokines, which were further validated by ELISA using an independent cohort of 60 CHB patients, 60 LC patients and 35 HC samples. There were 18 differentially expressed cytokines of CHB and LC. Three cytokines were identified by PLS-DA and random forest, including interleukin (IL)-9, granulocyte-macrophage colony-stimulating factor (GM-CSF) and IL-2 receptor subunit α (IL-2Rα), which displayed significant changes in serum levels. Differentially expressed cytokine networks between HC, CHB and LC also indicated particular cytokine co-expression network patterns of CHB and LC. The receiver-operator characteristic (ROC) analysis demonstrated that IL-9, GM-CSF, IL-2Rα and their logistic regression panel are potential predictors that significantly differentiate CHB from LC (P < 0.001) and CHB from Child class A LC (P < 0.001). The three cytokines and the panel showed significant correlation with the Child-Pugh score. IL-9, GM-CSF, IL-2Rα and their logistic panel may be predictors for monitoring the progression of CHB to LC.
期刊介绍:
Journal of Cellular and Molecular Biology publishes articles describing original research aimed at the elucidation of a wide range of questions of biology and medicine at the cellular and molecular levels. Studies on all organisms as well as on human cells and tissues are welcome.