输血依赖性疾病患者铁过载的危险因素分析: 血清肿瘤坏死因子-α/白细胞介素-6与铁代谢异常的关联及机制探讨

Analysis of risk factors for iron overload in patients with transfusion-dependent diseases: association of serum tumor necrosis factor-α/interleukin-6 with abnormal iron metabolism and its mechanism

  • 摘要:
    目的 探讨血清肿瘤坏死因子-α(TNF-α)/白细胞介素-6(IL-6)与输血依赖性疾病患者铁过载的关联机制。
    方法 选取106例输血依赖性患者为研究对象,包括地中海贫血12例(地中海贫血组)、再生障碍性贫血(AA)49例(AA组)和骨髓增生异常综合征(MDS)45例(MDS组)。采用肝脏核磁共振T2加权成像(MRI T2)值评估所有患者铁过载情况,并根据评估情况将患者分为铁过载组和无铁过载组。比较各组患者的铁代谢指标(血清铁蛋白(SF)、促红细胞生成素(EPO)及血清因子TNF-α、IL-6水平。采用Pearson相关性分析法分析TNF-α、IL-6与EPO、SF及肝脏铁含量(LIC)的关系。采用多因素Logistic回归分析法筛选患者铁过载的影响因素。采用受试者工作特征(ROC)曲线分析血清TNF-α、IL-6对输血依赖性疾病患者铁过载的预测价值。
    结果 106例患者中, 35例无铁过载, 71例发生铁过载。其中,地中海贫血组中有6例轻度铁过载, 2例中度铁过载, 2例重度铁过载; AA组中有13例轻度铁过载, 12例中度铁过载, 7例重度铁过载, 1例极重度铁过载; MDS组中有16例轻度铁过载, 9例中度铁过载, 3例重度铁过载。铁过载组的铁摄入量高于非铁过载组,差异有统计学意义(P<0.05)。铁过载组的EPO、TNF-α、IL-6、SF水平高于非铁过载组,差异有统计学意义(P<0.05)。Pearson相关性分析显示,铁过载组患者血清TNF-α和IL-6与EPO(r=0.611、0.400)、SF(r=0.572、0.434)、LIC(r=0.550、0.308)均呈正相关(P<0.05)。Logistic回归分析结果显示,铁摄入量、EPO、TNF-α及IL-6高水平是发生铁过载的危险因素(P<0.05)。ROC曲线分析结果显示,血清TNF-α、IL-6单独及联合预测输血依赖性疾病患者铁过载的曲线下面积(AUC)分别为0.707、0.679和0.870, 各指标联合预测效能优于单独检测(P<0.05)。
    结论 血清TNF-α和IL-6与铁代谢异常密切相关,铁摄入量高以及EPO、TNF-α和IL-6高水平是导致输血依赖性疾病患者发生铁过载的危险因素。血清TNF-α和IL-6联合对输血依赖性疾病患者铁过载的预测效能较好。

     

    Abstract:
    Objective To explore the underlying linking mechanism of serum tumor necrosis factor-alpha (TNF-α)/interleukin-6 (IL-6) with iron overload in patients with transfusion-dependent diseases.
    Methods A total of 106 patients with transfusion dependency were enrolled as the study subjects, including 12 cases of thalassemia (thalassemia group), 49 cases of aplastic anemia (AA group), and 45 cases of myelodysplastic syndrome (MDS group). Liver magnetic resonance imaging T2-weighted (MRI T2) values were employed to assess iron overload in all patients, who were subsequently categorized into ironoverload and non-iron overload groups based on the assessment. Iron metabolism indicators serum ferritin (SF) and erythropoietin (EPO) and serum levels of TNF-α and IL-6 were compared among the groups. Pearson correlation analysis was used to examine the correlations of TNF-α and IL-6 with EPO, SF and liver iron concentration (LIC). Multivariate Logistic regression analysis was applied to identify the influencing factors of iron overload in patients. The predictive value of serum TNF-α and IL-6 for iron overload in patients with transfusion-dependent diseases was evaluated using receiver operating characteristic (ROC) curve analysis.
    Results Among the 106 patients, 35 exhibited no iron overload, while 71 developed iron overload. Specifically, in the thalassemia group, there were 6 cases of mild iron overload, 2 cases of moderate iron overload, and 2 cases of severe iron overload. In the AA group, there were 13 cases of mild iron overload, 12 cases of moderate iron overload, 7 cases of severe iron overload, and 1 case of extremely severe iron overload. In the MDS group, there were 16 cases of mild iron overload, 9 cases of moderate iron overload, and 3 cases of severe iron overload. The iron intake in the iron overload group was higher than that in the non-iron overload group, with a statistically significant difference (P < 0.05). The levels of EPO, TNF-α, IL-6 and SF in the iron overload group were significantly higher than those in the non-iron overload group (P < 0.05). Pearson correlation analysis revealed positive correlations between serum TNF-α and IL-6 with EPO (r=0.611, 0.400), SF (r=0.572, 0.434) and LIC (r=0.550, 0.308) in patients with iron overload (P < 0.05). Logistic regression analysis indicated that high iron intake as well as elevated levels of EPO, TNF-α and IL-6 were risk factors for iron overload (P < 0.05). ROC curve analysis demonstrated that the areas under the curve (AUC) for serum TNF-α, IL-6 and their combined prediction of iron overload in patients with transfusion-dependent diseases were 0.707, 0.679 and 0.870, respectively. The combined predictive performance of these indicators was superior to that of individual tests (P < 0.05).
    Conclusion Serum TNF-α and IL-6 are closely associated with abnormal iron metabolism. High iron intake, along with elevated levels of EPO, TNF-α and IL-6 are risk factors for iron overload in patients with transfusion-dependent diseases. The combined use of serum TNF-α and IL-6 exhibits favorable predictive efficacy for iron overload in these patients.

     

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