Wang Ke, Zhang Lu, Zhou Fengqiao, Zhao Zhenwang, Liu Mingming, Huang Min, Liu Yang, Qiu Guangyu, Shen Xiaofang, Xiao Hong, Cao Fengsheng, Chen Huabo, Xiao Juan
Institute of Neuroscience and Brain Diseases, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, People's Republic of China.
Medical College, Hubei University of Arts and Science, Xiangyang, Hubei, People's Republic of China.
J Inflamm Res. 2025 Aug 25;18:11611-11626. doi: 10.2147/JIR.S527416. eCollection 2025.
Sepsis is a prevalent and detrimental condition in intensive care units (ICUs) and a leading cause of mortality. The present study evaluated the role and clinical importance of Transmembrane 9 superfamily member 1 (TM9SF1) as a potential indicator for the early detection of sepsis severity and prognosis.
This study included 118 patients with septic shock and 107 patients with sepsis, all of whom underwent follow-up assessments. Gene expression of and cytokines in peripheral blood mononuclear cells (PBMCs) were quantified using qPCR. The predictive role of was compared with standard clinical markers using receiver operating characteristic (ROC) curve analysis. A nomogram-based predictive model with was constructed to enable early detection of disease severity and mortality in sepsis patients.
mRNA expression was considerably elevated in the septic shock group relative to the sepsis group and healthy controls ( < 0.001). Increased levels were associated with higher sepsis severity (OR = 3.29, 95% CI = 1.88-5.78, < 0.001) and mortality (HR = 11.12, 95% CI = 4.35-28.45, < 0.001). Moreover, ROC curve analysis showed that outperformed clinical indicators in predicting sepsis severity and mortality including CRP, oxygenation index and lactate. A nomogram model comprised 1, CRP, D-dimer, and ESR and predicted sepsis severity (AUC = 0.883, 95% CI = 0.839-0.927), while another model with , CRP, ESR, lactate and oxygenation index predicted patient's mortality (C-index = 0.931; 95% CI = 0.884-0.978).
The study concluded that both sepsis severity and mortality were found to increase with higher levels, suggesting that has a crucial role in regulating inflammation in sepsis patients by controlling cytokine production. It can serve as a potential novel immune biomarker for the early detection of disease progression and clinical findings in sepsis patients.
脓毒症是重症监护病房（ICU）中一种常见且有害的病症，是主要的死亡原因。本研究评估了跨膜9超家族成员1（TM9SF1）作为脓毒症严重程度和预后早期检测潜在指标的作用及临床重要性。
本研究纳入了118例感染性休克患者和107例脓毒症患者，所有患者均接受了随访评估。使用qPCR对外周血单个核细胞（PBMCs）中的基因表达和细胞因子进行定量。使用受试者工作特征（ROC）曲线分析将其预测作用与标准临床标志物进行比较。构建了一个基于列线图的包含TM9SF1的预测模型，以实现脓毒症患者疾病严重程度和死亡率的早期检测。
相对于脓毒症组和健康对照组，感染性休克组中mRNA表达显著升高（P<0.001）。TM9SF1水平升高与更高的脓毒症严重程度（OR = 3.29，95%CI = 1.88 - 5.78，P<0.001）和死亡率（HR = 11.12，95%CI = 4.35 - 28.45，P<0.001）相关。此外，ROC曲线分析表明，在预测脓毒症严重程度和死亡率方面，TM9SF1优于包括CRP、氧合指数和乳酸在内临床指标。一个列线图模型包含TM9SF1、CRP、D - 二聚体和ESR，可预测脓毒症严重程度（AUC = 0.883，95%CI = 0.839 - 0.927），而另一个包含TM9SF1、CRP、ESR、乳酸和氧合指数的模型可预测患者死亡率（C指数 = 0.931；95%CI = 0.884 - 0.978）。
该研究得出结论，脓毒症严重程度和死亡率均随着TM9SF1水平升高而增加，这表明TM9SF1通过控制细胞因子产生在调节脓毒症患者炎症中起关键作用。它可作为脓毒症患者疾病进展和临床结果早期检测的潜在新型免疫生物标志物。
