实用肝脏病杂志 ›› 2025, Vol. 28 ›› Issue (4): 557-560.doi: 10.3969/j.issn.1672-5069.2025.04.020

• 非酒精性脂肪性肝病 • 上一篇    下一篇

T2DM合并代谢相关脂肪性肝病患者血清IFN-α和IFN-β水平变化及其临床意义探讨*

杨浩, 易波, 刘洪岩   

  1. 434200 湖北省荆州市 武汉大学人民医院松滋医院/松滋市人民医院内分泌科(杨浩);消化内科(刘洪岩);人民医院内分泌科(易波)
  • 收稿日期:2025-01-06 出版日期:2025-07-10 发布日期:2025-07-14
  • 作者简介:杨浩,男,34岁,大学本科,主治医师。E-mail:13297167927@163.com
  • 基金资助:
    *中南大学糖尿病与免疫学教育部重点实验室开放课题(编号:DKME202209)

Clinical implications of serum IFN-α and IFN-β levels in patients with T2DM and metabolic-associated fatty liver disease

Yang Hao, Yi Bo, Liu Hongyan   

  1. Department of Endocrinology, Songzi Hospital Affiliated to People's Hospital, Wuhan University, Jingzhou 434200, Hubei Province, China
  • Received:2025-01-06 Online:2025-07-10 Published:2025-07-14

摘要: 目的 分析2型糖尿病(T2DM)合并代谢相关脂肪性肝病(MAFLD)患者血清干扰素(IFN)-α和IFN-β水平变化及其临床意义。方法 2021年9月~2024年8月我院收治的T2DM患者87例和T2DM合并MAFLD患者63例。采用ELISA法检测血清IFN-α和IFN-β水平。应用二元多因素Logistic回归分析T2DM合并MAFLD发生的危险因素,应用受试者工作特征曲线(ROC)分析预测效能。结果 T2DM合并MAFLD组BMI、合并高血压占比、血清TC、TG、LDL-C、UA、IFN-α和IFN-β水平分别为(26.9±2.6)kg/m2、74.6%、(6.8±1.4)mmol/L、(4.3±1.7)mmol/L、(3.7±0.6)μmol/L、(477.1±31.2)μmol/L、(27.9±8.5)pg/mL和(260.1±59.2)pg/mL,均显著高于T2DM组【分别为(24.9±2.2)kg/m2、24.1%、(5.6±1.1)mmol/L、(2.2±0.6)mmol/L、(3.2±0.8)mmol/L、(329.7±30.1)μmol/L、(21.9±4.1)pg/mL和(205.7±51.8)pg/mL,P<0.05】;采用多因素Logistic回归分析结果显示BMI、血清UA、IFN-α和IFN-β水平均为T2DM合并MAFLD的危险因素(P<0.05);ROC曲线分析显示,血清IFN-α和IFN=β水平联合预测T2DM合并MAFLD的AUC为0.832,其灵敏度为73.0%,特异度为87.4%,显著优于两指标单独预测(P<0.05)。结论 监测T2DM患者血清IFN-α和IFN-β水平变化可能有助于早期发现MAFLD的存在,指导临床及时进行合适的干预。

关键词: 代谢相关脂肪性肝病, 2型糖尿病, 干扰素-α, 干扰素-β, 临床意义

Abstract: Objective The aim of this study was to explore clinical implications of serum interferon (IFN)-α and IFN-β levels in patients with type 2 diabetes mellitus (T2DM)and metabolic dysfunction-associated fatty liver disease (MAFLD). Methods 87 patients with T2DM and 63 patients with T2DM and MAFLD were encountered in our hospital between September 2021 and August 2024. Serum IFN-α and IFN-β levels were assayed by ELISA, multivariate Logistic regression analysis was conducted to find risk factors forMAFLD in patients with T2DM, and receiver operating characteristic (ROC) curve was applied to analyze predictive performance. Results BMI, concomitant blood hypertension, serum total cholesterol, total triglyceride, low density lipoprotein-cholesterol, uric acid (UA), IFN-α and IFN-β levels in patients with T2DM and MAFLD were (26.9±2.6)kg/m2, 74.6%, (6.8±1.4)mmol/L, (4.3±1.7)mmol/L, (3.7±0.6)μmol/L, (477.1±31.2)μmol/L, (27.9±8.5)pg/mL and (260.1±59.2)pg/mL, all significantly higher than [(24.9±2.2)kg/m2, 24.1%, (5.6±1.1)mmol/L, (2.2±0.6)mmol/L, (3.2±0.8)mmol/L, (329.7±30.1)μmol/L, (21.9±4.1)pg/mLand (205.7±51.8)pg/mL, respectively, P<0.05] in patients with T2DM; multivariate Logistic regression analysis showed that BMI, serum UA, IFN-α and IFN-β levels were all the independent risk factors for patients with T2DM and MAFLD (P<0.05); ROC analysis demonstrated that the AUC was 0.832, with sensitivity of 73.0% and specificity of 87.4% when serum IFN-α and IFN=β level combination was applied to predict MAFLD in patients with T2DM (P<0.05). Conclusion Serum IFN-α and IFN-β levelsare significantlyelevated in patients with T2DM and MAFLD, and surveillance of them might help clinicians evaluate the progress of the entity.

Key words: Metabolic dysfunction-associated fatty liver disease, Type 2 diabetes mellitus, Interferon-α, IFN-β, Clinical implications