印度肾移植患者免疫生物标志物与移植物功能的可变性,一项观察性前瞻性队列研究

Bejugama Katyayani, Guditi Swarnalatha, Taduri Gangadhar
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摘要

在肾移植(RT)中,主要的问题是维持免疫稳态,限制移植排斥反应(GR),促进移植耐受。共招募了70名接受维持性血液透析的慢性肾脏疾病患者,选择RT和20名对照组。采用流式细胞仪和夹心ELISA法,在移植前和移植后稳定移植功能(SGF)和GR 2年的规定时间内,测定移植前后Tregs% (CD4+CD25+)、细胞因子IL -10和IL - 17的浓度。对于SGF,基线时Tregs% [8.5 (6.5-10.7) vs. hcc [14.25 (13-18), p < 0.01)],基线时与6个月时[11.54 (8.9-15)],p < 0.001);在基线[3.05(1.05 - -5.2)和GR 8.5 (6.5 - -10.7), p < 0.05)。血清IL - 10基线[3.6 (2.56-4.6)vs. HC (6.4 (4.8-9.8), p<0.001]。血清IL - 17水平基线[120 (92 - 176)vs. HC [20.88 (18-55), p<0.05],第4天与基线[180 (160.5-257.45);p<0.05],第90天与基线相比[53.3 (48-100),p<0.05],这种情况维持了两年,GR与基线相比[190 (105-372)];p < 0.05)。Tregs% (AUC为0.758,p值<0.05)、IL-10 (AUC为0.8,p值为0.117)、IL-17 (AUC为0.937,p值<0.05)的ROC分析。在SGF组,Tregs %从6个月开始升高,IL-17从3个月开始下降,IL-10没有变化并持续到2年;随着GR, Tregs%较基线下降,IL-10无变化,IL-17因高炎症而升高。ROC分析显示Tregs%和IL-17是更好的移植物预后预测指标。然而,生物标志物与移植物功能之间的相关性尚不明确,有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variability of Immune Biomarkers with the Graft Function in Kidney Transplant Patients in India, an Observational Prospective Cohort Study
In renal transplantation (RT), the major issue is to maintain the immune homeostasis, limiting graft rejection (GR), and promoting transplant tolerance. A total of 70 subjects of chronic kidney disease patients on maintenance haemodialysis, opted for RT and 20 controls were recruited. The Tregs% (CD4+CD25+), concentration of cytokines IL –10 and IL 17 were measured in pre-and post-transplant at a defined timelines with stable graft function (SGF) and with GR for two years, using flow cytometer and sandwich ELISA method. With SGF, Tregs% Baseline [8.5 (6.5–10.7) vs. HCs [14.25 (13–18), p < 0.01)], at Baseline vs. six months [11.54 (8.9–15)], p < 0.001); At Baseline [3.05 (1.05–5.2) vs. GR 8.5 (6.5–10.7), p < 0.05]. Serum IL 10 baseline [3.6 (2.56–4.6) vs. HC (6.4 (4.8-9.8), p<0.001]. Serum IL 17 levels at baseline [120 (92 - 176) vs. HC [20.88 (18-55), p<0.05], day four vs. baseline [180 (160.5-257.45); p<0.05], day 90 vs. baseline [53.3 (48-100), p< 0.05] and this was maintained for two years, with GR vs. baseline [190 (105-372); p<0.05]. ROC analysis of Tregs% (AUC of 0.758 and a p – value of <0.05), IL-10 (AUC of 0.8 and a p – value of 0.117), IL-17 (AUC of 0.937 and a p – value of <0.05). With SGF, Tregs % increased from 6 months, IL-17 decreased from 3 months, IL-10 did not show changes and continued till two years; with GR, Tregs% decreased from baseline, IL-10 did not show changes, and IL-17 increased due to high inflammation. ROC analysis showed that the Tregs% and IL-17 are better predictors of graft outcome. However, the association between biomarkers with graft function couldn’t be evaluated which needs further studies.
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