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重庆医科大学附属第一医院重症医学科,重庆 400016
唐佳佳,Email:2023111592@stu.cqmu.edu.cn,研究方向:重症医学、脓毒症、急性呼吸窘迫综合征。
彭 艳,Email:hbespy@163.com。
收稿:2026-02-23,
修回:2026-03-23,
录用:2026-03-30,
纸质出版:2026-06-28
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唐佳佳,范晶,彭艳.血清microRNA对脓毒症并发肝损伤患者的早期诊断价值分析[J].重庆医科大学学报,2026,51(6):838-843.
Tang Jiajia,Fan Jing,Peng Yan.Analysis of the early diagnostic value of serum microRNAs in patients with sepsis complicated by liver injury[J].Journal of Chongqing Medical University,2026,51(6):838-843.
唐佳佳,范晶,彭艳.血清microRNA对脓毒症并发肝损伤患者的早期诊断价值分析[J].重庆医科大学学报,2026,51(6):838-843. DOI: 10.13406/j.cnki.cyxb.004109.
Tang Jiajia,Fan Jing,Peng Yan.Analysis of the early diagnostic value of serum microRNAs in patients with sepsis complicated by liver injury[J].Journal of Chongqing Medical University,2026,51(6):838-843. DOI: 10.13406/j.cnki.cyxb.004109.
目的
2
观察微小核糖核酸(micro ribonucleic acid,miRNA)在脓毒症并发肝损伤患者中的应用,总结其在早期诊断中的价值。
方法
2
选取2021年7月至2022年7月于重庆医科大学附属第一医院接受治疗的脓毒症患者,根据患者肝功能检查分为肝损伤组和无肝损伤组。依据肝损伤程度将肝损伤患者分为:轻度肝损伤组、中度肝损伤组、重度肝损伤组。检测所有患者血清微小核糖核酸-122a(micro ribonucleic acid-122a,miR-122a)、微小核糖核酸-124a(micro ribonucleic acid-124a,miR-124a)、微小核糖核酸-125b(micro ribonucleic acid-125b,miR-125b)、微小核糖核酸-155(micro ribonucleic acid-155,miR-155)表达,并收集其人口学数据以及实验室检查指标。采用logistic回归筛选危险因素,受试者工作特征曲线(receiver operating characteristic curve,ROC)分析评价指标预测能力。
结果
2
共纳入180例脓毒症患者,其中肝损伤组90例,无肝损伤组90例。单因素logistic分析显示年龄、降钙素原、miR-122a、miR-124a、miR-125b、miR-155、C 反应蛋白、动脉血乳酸、糖尿病是脓毒症休克并发肝损伤的影响因素(
P<
0.05);其中,年龄、降钙素原、动脉血乳酸、合并糖尿病、miR-122a及miR-155为独立危险因素。ROC分析得出miR-122a诊断脓毒症肝损伤的曲线下面积(area under the curve,AUC)为0.69[95%置信区间(confidence interval,CI):0.64~0.78],miR-155的 AUC 为0.75(95%CI:0.70~0.80),二者联合AUC 为0.89(95%CI=0.84~0.93)。
结论
2
miR-122a、miR-155是脓毒症休克并发肝损伤的独立危险因素,可作为脓毒症合并肝损伤的潜在早期诊断标志物。
Objective
2
To investigate the application of microRNAs(miRNAs) in patients with sepsis complicated by liver injury and evaluate their value in the early diagnosis of this condition.
Methods
2
Sepsis patients treated at The First Affiliated Hospital of Chongqing Medical University between July 2021 and July 2022 were enrolled and divided into a liver injury group and a non-liver injury group based on their liver function test results. Patients in the liver injury group were further classified into the mild liver injury group,moderate liver injury group and severe liver injury group based on the severity of liver injury. Serum levels of miR-122a,miR-124a,miR-125b,and miR-155 were detected in all patients,and their demographic data and laboratory parameters were collected. Logistic regression was used to identify independent risk factors,and receiver operating characteristic curve analysis was performed to assess the predictive performance of the indicators.
Results
2
A total of 180 sepsis patients were included,with 90 cases in the liver injury group and 90 cases in the non-liver injury group. Univariable logistic analysis showed that age,procalcitonin,miR-122a,miR-124a,miR-125b,miR-155,C-reactive protein,arterial blood lactate,and diabetes mellitus were influencing factors for septic shock complicated by liver injury(
P
<
0.05). Among these,age,procalcitonin,arterial blood lactate,diabetes mellitus,miR-122a,and miR-155 were identified as independent risk factors. The areas under the receiver operating characteristic curves for miR-122a,miR-155,and their combination in diagnosing sepsis complicated by liver injury were 0.69 (95%CI=0.64-0.78),0.75(95%CI=0.70-0.80),and 0.89(95%CI=0.84-0.93),respectively.
Conclusion
2
miR-122a and miR-155 are independent risk factors for septic shock complicated by liver injury and can serve as potential early diagnostic biomarkers for this disease.
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