• 血清硫氧还蛋白-1、硫氧还蛋白互作蛋白、NOD样受体热蛋白结构域相关蛋白3与脓毒症相关急性肾损伤及死亡风险的相关性研究
  • Correlation between serum thioredoxin-1, thioredoxin-interacting protein, NOD-like receptor pyrin domain-containing protein 3 and sepsis-associated acute kidney lnjury and their predictive value for mortality risk
  • 曲晓琳.血清硫氧还蛋白-1、硫氧还蛋白互作蛋白、NOD样受体热蛋白结构域相关蛋白3与脓毒症相关急性肾损伤及死亡风险的相关性研究[J].内科急危重症杂志,2026,32(3):260-264
    DOI:10.11768/nkjwzzzz20260311
    中文关键词:  硫氧还蛋白- 1  硫氧还蛋白互作蛋白  NOD样受体热蛋白结构域相关蛋白3  脓毒症  急性肾损伤  AKI分期  28 d死亡风险
    英文关键词:Thioredoxin- 1  Thioredoxin- interacting protein  NOD- like receptor pyrin domain- containing protein 3  Sepsis  Acute kidney injury  Acute kidney injury stage  28- day mortality risk
    基金项目:山西省科学技术研究与开发项目(202012D932011)
    作者单位E-mail
    曲晓琳 山西医科大学附属运城市中心医院急诊科 mwktu1313@163.com 
    摘要点击次数: 116
    全文下载次数: 75
    中文摘要:
          摘要 目的:研究血清硫氧还蛋白-1(Trx-1)、硫氧还蛋白互作蛋白(TXNIP)、NOD样受体热蛋白结构域相关蛋白3(NLRP3)水平与脓毒症相关急性肾损伤(SA-AKI)的相关性及对死亡风险的预测价值。方法:选取158例SA-AKI患者为SA-AKI组,按1:1匹配158例未并发肾损伤的脓毒症患者为非SA-AKI组,比较2组血清Trx-1、TXNIP、NLRP3水平,采用Pearson检验分析血清Trx-1、TXNIP、NLRP3与肾功能指标的相关性,比较不同急性肾损伤(AKI)分期患者血清Trx-1、TXNIP、NLRP3水平,采用受试者工作特征(ROC)曲线分析血Trx-1、TXNIP、NLRP3水平对SA-AKI的预测价值。根据SA-AKI患者规范治疗后28d存活情况将其分为死亡组和生存组,比较2组血清Trx-1、TXNIP、NLRP3水平,采用ROC曲线分析Trx-1、TXNIP、NLRP3对SA-AKI患者28d死亡的预测价值。结果:与非SA-AKI组比较,SA-AKI组血清Trx-1、TXNIP、NLRP3显著升高(P均<0.05),且随着AKI分期同步升高(P均<0.05)。Pearson检验分析显示,血清Trx-1、TXNIP、NLRP3两两之间分别呈正相关(P均<0.05);血清Trx-1、TXNIP、NLRP3与血清肌酐(Scr)呈正相关,与肾小球滤芯过率(eGFR)呈负相关(P均<0.05)。ROC曲线显示,血清Trx-1、TXNIP、NLRP3联合预测SA-AKI的灵敏度、特异性和曲线下面积(AUC)分别为85.41、74.13、0.875(95%CI: 0.838~0.912)。随访28d的158例SA-AKI患者中,死亡45例(28.48%),死亡组血清Trx-1、TXNIP、NLRP3显著高于生存组(P均<0.05)。血清Trx-1、TXNIP、NLRP3单独及三者联合预测SA-AKI患者28d死亡的AUC分别为0.761(95%CI: 0.678~0.844)、0.730(95%CI:0.638~0.822)、0.742(95%CI:0.659~0.825)、0.906(95%CI:0.853~0.958)。结论:血清Trx-1、TXNIP、NLRP3高表达与SA-AKI以及患者病情严重程度、28d死亡风险显著相关,三者联测对SA-AKI不良预后有一定预测效能。
    英文摘要:
          Abstract Objective: To investigate the correlation between serum levels of thioredoxin-1 (Trx-1), thioredoxin-interacting protein (TXNIP), NOD-like receptor pyrin domain-containing protein 3 (NLRP3) and sepsis-associated acute kidney injury (SA-AKI) and their predictive value for mortality risk. Methods A total of 158 patients with SA-AKI were selected as the SA-AKI group. Another 158 sepsis patients without kidney injury were matched at a 1:1 ratio as the non-SA-AKI group. Serum levels of Trx-1, TXNIP, and NLRP3 were compared between the two groups. Pearson correlation analysis was used to assess the correlation between serum Trx-1, TXNIP, NLRP3 levels and renal function parameters. Serum levels of Trx-1, TXNIP, and NLRP3 were compared among patients with different stages of AKI. The predictive value of serum Trx-1, TXNIP, and NLRP3 levels for SA-AKI was analyzed using receiver operating characteristic (ROC) curves. SA-AKI patients were divided into a death group and a survival group based on 28-day survival status. Serum levels of Trx-1, TXNIP, and NLRP3 were compared between the two groups, and their predictive value for 28-day mortality in SA-AKI patients was assessed using ROC curves. Results: Compared with the non-SA-AKI group, serum levels of Trx-1, TXNIP, and NLRP3 were significantly higher in the SA-AKI group (Mean P< 0.05), and these levels increased progressively with higher AKI stages (Mean P< 0.05). Pearson correlation analysis showed positive pairwise correlations among serum Trx-1, TXNIP, and NLRP3 (Mean P< 0.05). Serum Trx-1, TXNIP, and NLRP3 levels were positively correlated with serum creatinine (Scr) and negatively correlated with estimated glomerular filtration rate (eGFR) (Mean P< 0.05). ROC curve analysis revealed that the combined measurement of serum Trx-1, TXNIP, and NLRP3 for predicting SA-AKI yielded a sensitivity of 85.41%, specificity of 74.13%, and area under the curve (AUC) of 0.875 (95%CI: 0.838-0.912). Among the 158 SA-AKI patients, 45 died within 28 days, with a mortality rate of 28.48%. Serum levels of Trx-1, TXNIP, and NLRP3 were significantly higher in the death group than in the survival group (Mean P< 0.05). The AUCs for predicting 28-day mortality in SA-AKI patients were 0.761 (95%CI: 0.678-0.844) for Trx-1, 0.730 (95%CI: 0.638-0.822) for TXNIP, 0.742 (95%CI: 0.659-0.825) for NLRP3, and 0.906 (95%CI: 0.853-0.958) for the three combined. Conclusion: Elevated serum levels of Trx-1, TXNIP, and NLRP3 are significantly associated with SA-AKI, disease severity, and 28-day mortality risk. The combined measurement of these three biomarkers has good predictive efficacy for poor prognosis in SA-AKI.