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血清 CXCL9 和 CXCL13 在预测肾移植后感染中的作用:一项 STROBE 研究。

Role of serum CXCL9 and CXCL13 in predicting infection after kidney transplant: A STROBE study.

机构信息

Department of Laboratory Medicine.

Department of Nephrology, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan, China.

出版信息

Medicine (Baltimore). 2021 Mar 19;100(11):e24762. doi: 10.1097/MD.0000000000024762.

Abstract

Chemokines are majorly involved in inflammatory and immune responses. The interferon-γ-inducible chemokines C-X-C motif chemokines 9 and 10 (CXCL9 and CXCL10) are considerably associated with Th1 cells and monocytes, and their expression levels rapidly increase during the early episodes of renal allograft rejection and various infectious diseases. CXCL13 is one of the most potent B-cell and T follicular helper-cell chemoattractants. The expression of CXCL13 in the presence of infection indicates an important chemotactic activity in multiple infectious diseases. C-C motif chemokine ligand 2 (CCL2) can attract monocytes and macrophages during inflammatory responses. However, there are no studies on the role of these chemokines in posttransplant infection in kidney transplant recipients.In this study, CXCL9, CXCL10, CXCL13, and CCL2 were analyzed using the Bio-Plex suspension array system before transplant and 30 days after transplant.The serum levels of CXCL9 and CXCL13 30 days after kidney transplant were associated with infection within 1 year after transplant (P = .021 and P = .002, respectively). The serum levels of CXCL9 and CXCL13 before surgery and those of CCL2 and CXCL10 before and after surgery were not associated with infection within 1 year after transplant (P > .05). The combination of postoperative day (POD) 30 CXCL9 and postoperative day 30 CXCL13 provided the best results with an area under the curve of 0.721 (95% confidence interval, 0.591-0.852), with a sensitivity of 71.4% and specificity of 68.5% at the optimal cutoff value of 52.72 pg/mL.As important chemokines, CXCL9 and CXCL13 could be used to predict the occurrence of infection after kidney transplant.

摘要

趋化因子主要参与炎症和免疫反应。干扰素-γ诱导的趋化因子 C-X-C 基序趋化因子 9 和 10(CXCL9 和 CXCL10)与 Th1 细胞和单核细胞密切相关,其表达水平在肾移植排斥反应和各种传染病的早期迅速增加。CXCL13 是最有效的 B 细胞和滤泡辅助 T 细胞趋化因子之一。在感染存在的情况下,CXCL13 的表达表明在多种传染病中具有重要的趋化活性。C-C 基序趋化因子配体 2(CCL2)在炎症反应过程中可以吸引单核细胞和巨噬细胞。然而,目前还没有研究这些趋化因子在肾移植受者移植后感染中的作用。在这项研究中,在移植前和移植后 30 天使用 Bio-Plex 悬浮阵列系统分析了 CXCL9、CXCL10、CXCL13 和 CCL2。肾移植后 30 天的血清 CXCL9 和 CXCL13 水平与移植后 1 年内的感染有关(P=0.021 和 P=0.002)。手术前的血清 CXCL9 和 CXCL13 水平以及手术后的 CCL2 和 CXCL10 水平与移植后 1 年内的感染无关(P>0.05)。术后第 30 天 CXCL9 和术后第 30 天 CXCL13 的组合提供了最佳结果,曲线下面积为 0.721(95%置信区间,0.591-0.852),最佳截断值为 52.72 pg/mL 时,灵敏度为 71.4%,特异性为 68.5%。作为重要的趋化因子,CXCL9 和 CXCL13 可用于预测肾移植后感染的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a309/7982190/b776a5e445ea/medi-100-e24762-g001.jpg

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