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首页> 外文期刊>Kidney International Reports >Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
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Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor

机译:循环生物标志物在促红细胞生成素受体预测糖尿病肾疾病进展中的循环生物标志物

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IntroductionSeveral circulating markers, including autoantibodies to erythropoietin receptor (anti-EPOR antibodies), have been identified as useful biomarkers in predicting diabetic kidney disease progression. However, a direct comparison of their utility is lacking. We aimed to validate and to compare the prognostic value of anti-EPOR antibodies with that of other known biomarkers, using the ADVANCE trial and its long-term follow-up, ADVANCE-ON, cohorts.MethodsIn this nested case-control study from the ADVANCE trial cohort, we included 165 case participants who had the composite kidney outcome (renal replacement therapy, renal death, or doubling of serum creatinine to?≥200 μmol/l) and 330 matched controls. We compared the associations of baseline plasma levels of anti-EPOR antibodies, tumor necrosis factor receptor (TNFR)-1 and?-2, and bone morphogenetic protein (BMP)-7 with kidney outcomes.ResultsCases had higher baseline plasma levels of anti-EPOR antibodies than controls (median 1.7 vs. 0.6 enzyme-linked immunosorbent assay unit,P?< 0.001). Higher levels of anti-EPOR antibodies were associated with an increased risk of kidney outcome (odds ratio 2.16 [95% confidence interval 1.51, 3.08], per 1 SD of log-transformed levels) after adjusting for conventional markers. Elevated circulating TNFR1 and TNFR2 levels, and lower BMP-7 levels at baseline, were associated with poor kidney outcome (odds ratios 2.06 [1.29, 3.30], 1.66 [1.13, 2.43], and 0.45 [0.32, 0.65], respectively). The addition of anti-EPOR antibodies into the model improved the prediction of kidney outcome, regardless of other biomarkers.ConclusionAnti-EPOR antibodies provide a promising biomarker, as with TNFR1, TNFR2, and BMP-7, in predicting kidney disease progression in people with type 2 diabetes mellitus.
机译:引入循环标志物,包括对促红细胞生成素受体(抗EPOR抗体)的自身抗体(抗EPROPEDIES)被鉴定为预测糖尿病肾病进展的有用生物标志物。但是,缺乏与其效用的直接比较。我们的目标是使用预先试验及其长期随访,前进,核对的抗EPOR抗体与其他已知生物标志物的预后价值进行验证和比较抗EPER抗体的预后价值。此嵌套病例对照研究推进试验队列,我们​​包括165例案例参与者,患有复合肾脏结果(肾脏替代治疗,肾脏死亡或血清肌酐加倍,≥200μmol/ L)和330种匹配对照。我们将基线血浆抗体抗体,肿瘤坏死因子受体(TNFR)-1和α-2和骨形态发生蛋白(BMP)-7与肾脏结果进行比较。结果具有更高的基线血浆水平的抗 - Ecper抗体比对照(中位数1.7与0.6酶联免疫吸附测定单元,p≤<0.001)。在调整常规标记后,肾脏结果的风险增加(肾脏比率2.16 [95%置信区间1.51,3.08]的风险增加,较高水平的抗EPOP抗体有关。循环TNFR1和TNFR2水平升高,基线下的BMP-7水平降低,肾脏结果不良(差距2.06 [1.29,3.30],1.66 [1.13,2.43]和0.45 [0.32,0.65])。添加抗Eppor抗体进入模型改善了肾脏结果的预测,无论其他生物标志物如何。结论antuedanti-epor抗体提供有前途的生物标志物,与TNFR1,TNFR2和BMP-7一起预测人们的肾病进展2型糖尿病。

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