Li Ji-Hui, Tang Yuna, Wang Jing, Wei Xue-Fei, Wang Na, Wang Jing-Wei, Lyu Hui, Jiang Xue-Mei, Liu Hui-Hui, Wang Kai
Department of Hepatology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Department of Hepatology, Qilu Hospital of Shandong University (Qingdao), Qingdao, Shandong, People's Republic of China.
J Inflamm Res. 2025 Mar 14;18:3741-3756. doi: 10.2147/JIR.S506050. eCollection 2025.
The study aimed to quantitatively detect the suppressors of cytokine signaling (SOCS) 3 promoter methylation levels, investigate the relationship between SOCS3 methylation and gene expression, and construct a prognosis prediction model combined with clinical indicators for Acute-on-chronic Hepatitis B Liver Failure (ACHBLF).
A total of 135 ACHBLF patients were enrolled and randomly divided into the training cohort and validation cohort. The SOCS3 mRNA and promoter methylation in peripheral blood mononuclear cells (PBMCs) of ACHBLF patients were quantitative measured. A clinical prediction model was established based on SOCS3 promoter methylation and clinical indicators. The prediction model was evaluated by the area under the receiver operating characteristic curve, the Hosmer-Lemeshow (H-L) goodness-of-fit test, and decision curve analysis.
In this study, compared with ACHBLF survivals, SOCS3 showed lower mRNA levels and higher methylation levels in ACHBLF non-survivals. The SOCS3 methylation rates were negatively correlated with SOCS3 mRNA levels. PT-INR, IL-6, and percentage of the methylation reference (PMR) value (SOCS3) were used to establish a clinical model for predicting ACHBLF patients' prognosis. The results of AUC, the Hosmer-Lemeshow (H-L) goodness-of-fit test and decision curve analysis (DCA) showed that the prediction model had good clinical applicability. The prediction model was visualized.
A prognosis prediction model for ACHBLF was developed based on PMR (SOCS3), PT-INR and IL-6, which may have a good potential clinical application value.
本研究旨在定量检测细胞因子信号转导抑制因子(SOCS)3启动子甲基化水平,探讨SOCS3甲基化与基因表达之间的关系,并结合临床指标构建慢性乙型肝炎急性肝衰竭(ACHBLF)的预后预测模型。
共纳入135例ACHBLF患者,并随机分为训练队列和验证队列。对ACHBLF患者外周血单个核细胞(PBMC)中的SOCS3 mRNA和启动子甲基化进行定量检测。基于SOCS3启动子甲基化和临床指标建立临床预测模型。通过受试者工作特征曲线下面积、Hosmer-Lemeshow(H-L)拟合优度检验和决策曲线分析对预测模型进行评估。
在本研究中,与ACHBLF存活患者相比,ACHBLF非存活患者的SOCS3 mRNA水平较低,甲基化水平较高。SOCS3甲基化率与SOCS3 mRNA水平呈负相关。采用PT-INR、IL-6和甲基化参考值(PMR)(SOCS3)百分比建立预测ACHBLF患者预后的临床模型。AUC、Hosmer-Lemeshow(H-L)拟合优度检验和决策曲线分析(DCA)结果表明,该预测模型具有良好的临床适用性。对预测模型进行了可视化展示。
基于PMR(SOCS3)、PT-INR和IL-6建立了ACHBLF的预后预测模型,可能具有良好的临床应用潜力。