...
首页> 外文期刊>Journal of Leukocyte Biology: An Official Publication of the Reticuloendothelial Society >Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD
【24h】

Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD

机译:白细胞细胞外囊泡浓度与NAFLD肝纤维化严重程度与肝纤维化严重相反

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Abstract The enhanced liver fibrosis (LFS) score and the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) are algorithmic‐derived scores for diagnosing severe (F3/F4) liver fibrosis. In a pilot, substudy of the Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy (WELCOME) trial, we tested whether measurements of plasma platelet‐, endothelial‐, and leukocyte‐derived extracellular vesicles (EVs) counts are (a) associated with, and predict, F3/F4 fibrosis and (b) able to improve risk prediction of F3/F4 fibrosis in NAFLD, building upon LFS or NFS algorithms. Twenty‐six individuals with NAFLD had liver fibrosis severity determined by Kleiner scoring after liver biopsy. Plasma samples stained with CD41a, CD42b, CD31, CD105, CD14, CD16, and CD284 antibodies were analyzed using flow cytometry to measure platelet‐, endothelial‐, and leukocyte‐derived EVs counts. The independence of associations between EVs and F3/F4 fibrosis were tested using logistic regression. Receiver operator characteristic (ROC) curves were used to evaluate F3/F4 fibrosis prediction models. LFS was more strongly associated with F3/F4 fibrosis than NFS ( χ 2 =?15.403, P? ?0.0001, and χ 2 =?6.300, P? =?0.012, respectively). The association between LFS and F3/F4 fibrosis was further improved by addition of CD14 + EVs ( χ 2 = 20.847 , P ?=?0.016 vs. χ 2 = 12.803 , P? =?0.015, respectively) or CD16 + EVs ( χ 2 = 22.205 , P ?=?0.009 vs. χ 2 = 17.559 , P? =?0.001, respectively), and the area under the ROC for LFS (AUC?=?0.915, se ?=?0.055, P ?=?0.001) was increased by the addition of CD14 + or CD16 + EVs (AUC?=?0.948, se ?=?0.042, and P ??0.001 and AUC?=?0.967, se ?=?0.055, P ??0.001, respectively) as predictor variables. In this small preliminary study, CD14 + and CD16 + EV counts show potential to predict liver fibrosis severity with either marker improving the ability of the LFS to identify F3/F4 fibrosis in this small preliminary cohort study.
机译:摘要增强的肝纤维化(LFS)得分和非酒精性脂肪肝疾病(NAFLD)纤维化评分(NFS)是诊断严重(F3 / F4)肝纤维化的算法衍生评分。在飞行员中,酸脂肪肝和心血管标志物的替换,含有奥卡尔治疗(欢迎)试验,我们测试了血浆血小板,内皮 - 和白细胞衍生的细胞外囊泡(EVS)计数的测量是否(a )与之相关,预测,F3 / F4纤维化和(b)能够改善NAFLD中F3 / F4纤维化的风险预测,在LFS或NFS算法上建立。患有NAFLD的二十六个个体具有肝脏活检后的Kleiner评分确定的肝纤维化严重程度。使用流式细胞仪分析用CD41A,CD42B,CD31,CD105,CD14,CD16和CD284抗体染色的等离子体样品以测量血小板,内皮和白细胞衍生的EVS计数。使用Logistic回归测试EVS和F3 / F4纤维化之间的关联的独立性。接收器操作员特征(ROC)曲线用于评估F3 / F4纤维化预测模型。 LFS与F3 / F4纤维化有比NFS更强烈地相关(χ2=?15.403,p≤≤0.0001,分别为△2 =Δ.= 0.012)。通过添加CD14 + EVS进一步提高LFS和F3 / F4纤维化的关联(χ2= 20.847,p?= 0.016 Vs.χ2= 12.803,p?=?0.015)或CD16 + EVS(χ 2 = 22.205,p?= 0.009 Vs.χ2= 17.559,p?= 0.001,分别为ROC的区域(AUC?= 0.915,SE?=?0.055,P?=?通过添加CD14 +或CD16 + EVS(AUC?= 0.948,SE?=Δ0.042,p≤x≤0.001)增加0.001)。= 0.967,SE?=?0.055,p≤x≤0.055,p≤x≤0.055,p?=?0.055,p?= 0.055,p?=?0.055,p?=Δ0.055,p≤x≤0.055,p≤x≤0.055,p?= 0.055,p?= 0.055,p≤x≤0.055,p≤x≤0.055,p≤x≤0.055,p?= 0.055,p?= 0.055,P≤0.055,P. ; 0.001分别为预测变量。在这个小初步研究中,CD14 +和CD16 + EV计数表明,预测肝纤维化严重程度的潜力可以提高LFS在该小初步队列研究中鉴定F3 / F4纤维化的能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号