Cheng Sha, Wang Jiaojiao, Wang Pengfei, Long Xianli, Liu Huiling, Li Xueyin, Zhang Xiaowei, Zhao Xuemei, Sun Hang, Wu Chuanxin
Key Laboratory of Molecular Biology for Infectious Diseases, Ministry of Education, Institute for Viral Hepatitis, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Front Immunol. 2025 Jun 26;16:1608576. doi: 10.3389/fimmu.2025.1608576. eCollection 2025.
Sepsis is a life-threatening disease with challenges in clinical management due to delayed diagnosis and immunosuppression. Lymphopenia is a key prognostic indicator in sepsis. microRNAs (miRNAs) are recognized as key immune modulators affecting all stages of inflammation. In this study, we investigated the expression of and lymphocyte subsets in sepsis patients and analyzed their correlation with the aim of establishing their combined predictive value for clinical outcomes and advancing personalized treatment strategies.
From January 2020 to July 2024, we enrolled 191 patients diagnosed with sepsis at the ICU of the Second Affiliated Hospital of Chongqing Medical University and collected basic clinical data. These patients were categorized into two groups: nonsurvivors (n = 117) and survivors (n = 74). Correlation analysis was employed to analyze the correlation between and lymphocyte subsets with disease severity. Binary logistic regression and Cox regression analyses were employed to identify independent risk factors influencing the prognosis of sepsis. The predictive value of and lymphocyte subsets for sepsis prognosis was assessed using receiver operating characteristic (ROC) curves.
expression was significantly lower in sepsis patients compared to HD group, with levels in the nonsurvivor group being lower than those in the survivor group. Survival curves for indicated that lower levels of (<0.272) were associated with a higher mortality rate (HR 3.063). The absolute counts of lymphocytes (Lym), CD3 T cells, CD4 T cells, and CD8 T cells were significantly lower in the sepsis group compared to the HD group. Testing lymphocyte counts at different time points revealed that absolute counts of CD3 T cells, CD4 T cells, and CD8 T cells were consistently lower in the sepsis group across all time intervals. levels were predictive of patient prognosis, with the combination of and APACHE II scores yielding the highest AUC.
The early-stage sepsis-associated downregulation of serves as a promising biomarker for severity stratification and prognostic evaluation. The combination of with APACHE II scores enhances diagnostic accuracy. Additionally, dynamic monitoring of lymphocyte subsets may facilitate the evaluation of immune status and guide personalized treatment strategies.
脓毒症是一种危及生命的疾病，由于诊断延迟和免疫抑制，临床管理面临挑战。淋巴细胞减少是脓毒症的关键预后指标。微小RNA（miRNA）被认为是影响炎症各个阶段的关键免疫调节因子。在本研究中，我们调查了脓毒症患者中[具体内容缺失]和淋巴细胞亚群的表达，并分析了它们之间的相关性，旨在确定它们对临床结局的联合预测价值，并推进个性化治疗策略。
2020年1月至2024年7月，我们纳入了重庆医科大学附属第二医院重症监护病房诊断为脓毒症的191例患者，并收集了基本临床数据。这些患者被分为两组：非幸存者（n = 117）和幸存者（n = 74）。采用相关性分析来分析[具体内容缺失]和淋巴细胞亚群与疾病严重程度之间的相关性。采用二元逻辑回归和Cox回归分析来确定影响脓毒症预后的独立危险因素。使用受试者工作特征（ROC）曲线评估[具体内容缺失]和淋巴细胞亚群对脓毒症预后的预测价值。
与血液透析（HD）组相比，脓毒症患者中[具体内容缺失]的表达显著降低，非幸存者组的水平低于幸存者组。[具体内容缺失]的生存曲线表明，较低水平的[具体内容缺失]（<0.272）与较高的死亡率相关（风险比3.063）。与HD组相比，脓毒症组的淋巴细胞（Lym）、CD3 T细胞、CD4 T细胞和CD8 T细胞的绝对计数显著降低。在不同时间点检测淋巴细胞计数发现，脓毒症组在所有时间间隔内CD3 T细胞、CD4 T细胞和CD8 T细胞的绝对计数始终较低。[具体内容缺失]水平可预测患者预后，[具体内容缺失]与急性生理与慢性健康状况评分系统II（APACHE II）评分的组合产生最高的曲线下面积（AUC）。
脓毒症早期相关的[具体内容缺失]下调是严重程度分层和预后评估的一个有前景的生物标志物。[具体内容缺失]与APACHE II评分的组合提高了诊断准确性。此外，动态监测淋巴细胞亚群可能有助于评估免疫状态并指导个性化治疗策略。
