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创伤性脑损伤后血清趋化因子CCL2、CCL5、CXCL1、CXCL10和CXCL13的多重评估

Multiplex Assessment of Serum Chemokines CCL2, CCL5, CXCL1, CXCL10, and CXCL13 Following Traumatic Brain Injury.

作者信息

Chen Yuwen, Wang Ying, Xu Jian, Hou Tingting, Zhu Jing, Jiang Yingzi, Sun Liying, Huang Chunling, Sun Lulu, Liu Su

机构信息

Department of Rehabilitation Medicine, Affiliated Hospital of Nantong University, 226001, Nantong, Jiangsu Province, China.

School of Medicine, Nantong University, 226001, Nantong, Jiangsu Province, China.

出版信息

Inflammation. 2023 Feb;46(1):244-255. doi: 10.1007/s10753-022-01729-7. Epub 2022 Aug 15.

Abstract

Chemokines may promote neuroinflammation following traumatic brain injury (TBI), thereby exacerbating secondary injury. This study was designed to investigate the contributions of chemokines (CCL2, CCL5, CXCL1, CXCL10, and CXCL13) to TBI severity and clinical outcome. Peripheral blood was drawn from 92 TBI patients on admission, and 40 controls were recruited. Serum concentrations of CCL2, CCL5, CXCL1, CXCL10, and CXCL13 on admission were measured by ELISA. Preoperative clinical severity was evaluated using the Glasgow Coma Scale (GCS), and clinical outcome at 90 days post-TBI was evaluated using the Glasgow Outcome Scale (GOS). The associations were evaluated by calculating Spearman's correlation coefficients. A binary logistic regression model was used to identify clinicodemographic factors influencing outcome, and ROC curves were constructed. Serum concentrations of CCL2, CCL5, CXCL1, CXCL10, and CXCL13 were elevated significantly after TBI and negatively correlated with GCS and GOS scores except CCL5. CCL2 may be considered as an independent predictor to predict severity and outcome. Moreover, combination of GCS score, CCL2, and CXCL10 can be a better assessment prognosis of moderate and severe TBI.

摘要

趋化因子可能在创伤性脑损伤(TBI)后促进神经炎症,从而加剧继发性损伤。本研究旨在调查趋化因子(CCL2、CCL5、CXCL1、CXCL10和CXCL13)对TBI严重程度和临床结局的影响。纳入92例TBI患者入院时的外周血,并招募40例对照。采用酶联免疫吸附测定法(ELISA)检测入院时血清CCL2、CCL5、CXCL1、CXCL10和CXCL13的浓度。术前临床严重程度采用格拉斯哥昏迷量表(GCS)进行评估,TBI后90天的临床结局采用格拉斯哥预后量表(GOS)进行评估。通过计算Spearman相关系数评估相关性。采用二元逻辑回归模型确定影响结局的临床人口统计学因素,并构建ROC曲线。TBI后血清CCL2、CCL5、CXCL1、CXCL10和CXCL13浓度显著升高,除CCL5外,均与GCS和GOS评分呈负相关。CCL2可被视为预测严重程度和结局的独立预测因子。此外,GCS评分、CCL2和CXCL10的联合应用可更好地评估中重度TBI的预后。

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