Q3 Medicine
Min Xiao, Peng Wang, Baiqiang Li, Weiqin Li, Dadong Liu
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引用次数: 0

摘要

目的方法:(1)生物信息分析:从基因表达总库(Gene Expression Omnibus,GEO)获得急性胰腺炎相关的外周血芯片数据集(GSE194331),包括32名健康成人、52名轻度急性胰腺炎患者、20名中重度急性胰腺炎患者和10名SAP患者的数据。下载GSE194331数据集的原始数据,进行质控、剪枝、量化、注释和差异分析,得到不同基因。(2)临床研究:这是一项前瞻性观察研究。选取2022年1月至11月中国人民解放军东部战区司令部总医院重症医学科收治的45例SAP患者为研究对象,根据患者在重症监护室(ICU)住院期间是否发生继发感染分为感染组和非感染组。同时,10 名健康成年志愿者作为对照。采集各组受试者的外周血,分离中性粒细胞,采用实时荧光定量反转录聚合酶链反应(RT-PCR)检测 FFAR3 mRNA 的表达。采用斯皮尔曼相关法分析 SAP 患者中性粒细胞 FFAR3 mRNA 表达与继发感染的相关性。采用多变量 Logistic 回归分析评估中性粒细胞 FFAR3 mRNA 表达是否是 SAP 患者继发感染的危险因素。结果:(1)生物信息分析结果:对 GSE194331 数据集的分析表明,健康对照组和胰腺炎患者的外周血细胞中有 301 个基因存在差异表达。通过生物功能分析,得到了参与免疫反应的 8 种生物功能,在这 8 种生物功能中富集了 44 个差异表达基因。细胞分布分析结果显示,有 21 个差异表达基因在中性粒细胞上的表达明显高于其他免疫细胞,其中与脂质代谢相关的基因是 FFAR3。这些结果表明,FFAR3 的表达与 SAP 的发生和发展密切相关。(2)临床研究结果:45 例 SAP 患者中,24 例在重症监护室住院期间发展为继发感染,21 例未发展为继发感染。继发感染的 SAP 患者中性粒细胞 FFAR3 mRNA 的表达明显高于未继发感染的 SAP 患者和健康对照组 [2-ΔΔCt: 3.8 (3.0, 4.2) vs. 1.4 (1.1, 2.7), 1.0 (0.8, 1.1), 均 P <0.05]。斯皮尔曼相关分析显示,中性粒细胞 FFAR3 mRNA 表达与 SAP 患者的继发感染呈正相关(r = 0.799,P < 0.001)。多变量逻辑回归分析显示,FFAR3 mRNA 表达增加是 SAP 患者继发感染的独立危险因素[几率比(OR)= 17.212,95% 置信区间(95%CI)为 3.004-98.613,P = 0.001]。ROC曲线分析显示,中性粒细胞FFAR3 mRNA表达预测SAP患者继发感染的ROC曲线下面积(AUC)为0.856(95%CI为0.750-0.981,P<0.001)。当最佳临界值为 2.37 时,敏感性为 95.83%,特异性为 76.19%。根据 ROC 曲线分析得出的中性粒细胞 FFAR3 mRNA 表达预测 SAP 患者继发感染的最佳临界值(2.37),45 例 SAP 患者被分为两组进行亚组分析。结果表明,FFAR3 mRNA表达水平≥2.37的SAP患者继发感染的发生率明显高于FFAR3 mRNA表达水平<2.37的SAP患者[82.14%(23/28)vs.5.88%(1/17)],差异有统计学意义(P<0.01):中性粒细胞中FFAR3 mRNA的表达与SAP患者的继发感染密切相关,监测其表达水平可有效预测SAP患者的继发感染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Predictive value of neutrophil free fatty acid receptor 3 for secondary infection in patients with severe acute pancreatitis].

Objective: To evaluate the predictive value of neutrophil free fatty acid receptor 3 (FFAR3) for secondary infection in patients with severe acute pancreatitis (SAP).

Methods: (1) Biological information analysis: peripheral blood microarray data sets related to acute pancreatitis (GSE194331) were obtained from the Gene Expression Omnibus (GEO), including data from 32 healthy adults, 52 patients with mild acute pancreatitis, 20 patients with moderate-to-severe acute pancreatitis, and 10 patients with SAP. The original data of GSE194331 dataset were downloaded for quality control, pruning, quantification, annotation and difference analysis, and the different genes were obtained. (2) Clinical study: a prospective observational study was conducted. Forty-five SAP patients admitted to the critical care medicine department of the Eastern Theater Command General Hospital of the Chinese People's Liberation Army from January to November 2022 were enrolled, and they were divided into infected group and non-infected group according to whether secondary infection occurred during intensive care unit (ICU) stay. At the same time, 10 healthy adult volunteers were enrolled as control. Peripheral blood of subjects in each group was collected, neutrophils were isolated, and FFAR3 mRNA expression was detected by real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-PCR). Spearman correlation method was used to analyze the correlation between neutrophil FFAR3 mRNA expression and secondary infection in SAP patients. Multivariate Logistic regression analysis was used to evaluate whether neutrophil FFAR3 mRNA expression was a risk factor for secondary infection in SAP patients. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive value of neutrophil FFAR3 mRNA expression on secondary infection in SAP patients.

Results: (1) Results of biological information analysis: the analysis of GSE194331 dataset showed that 301 genes were differentially expressed in peripheral blood cells between healthy controls and patients with pancreatitis. By biological function analysis, 8 biological functions involved in immune response were obtained, and 44 differential expressed genes were enriched in these 8 biological functions. The results of cell distribution analysis showed that there were 21 differential expressed genes expressions on neutrophils significantly higher than other immune cells, and the gene related to lipid metabolism was FFAR3. These results indicated that FFAR3 expression was closely related to the occurrence and development of SAP. (2) Clinical study results: out of the 45 SAP patients, 24 developed into secondary infection during ICU stay, 21 did not develop into secondary infection. The expression of neutrophil FFAR3 mRNA in SAP patients with secondary infection was significantly higher than that in SAP patients without secondary infection and healthy controls [2-ΔΔCt: 3.8 (3.0, 4.2) vs. 1.4 (1.1, 2.7), 1.0 (0.8, 1.1), both P < 0.05]. Spearman correlation analysis showed that neutrophil FFAR3 mRNA expression was positively correlated with secondary infection in SAP patients (r = 0.799, P < 0.001). Multivariate Logistic regression analysis showed that increased FFAR3 mRNA expression was an independent risk factor for secondary infection in SAP patients [odds ratio (OR) = 17.212, 95% confidence interval (95%CI) was 3.004-98.613, P = 0.001]. ROC curve analysis showed that the area under the ROC curve (AUC) of neutrophil FFAR3 mRNA expression for predicting secondary infection in SAP patients was 0.856 (95%CI was 0.750-0.981, P < 0.001). When the optimal cut-off value was 2.37, the sensitivity was 95.83% and the specificity was 76.19%. According to the optimal cut-off value of neutrophil FFAR3 mRNA expression (2.37) for predicting secondary infection in SAP patients obtained by ROC curve analysis, 45 SAP patients were divided into two groups for subgroup analysis. It suggested that the incidence of secondary infection in SAP patients with FFAR3 mRNA expression level ≥2.37 was significantly higher than that in SAP patients with FFAR3 mRNA expression level < 2.37 [82.14% (23/28) vs. 5.88% (1/17)], and the difference was statistically significant (P < 0.01).

Conclusions: The expression of FFAR3 mRNA in neutrophils is closely related to the secondary infection in SAP patients, and monitoring its level can effectively predict the secondary infection in SAP patients.

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Zhonghua wei zhong bing ji jiu yi xue
Zhonghua wei zhong bing ji jiu yi xue Medicine-Critical Care and Intensive Care Medicine
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