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首页> 外文期刊>Kidney International Reports >Evaluation of Urinary Biomarkers of Proximal Tubular Injury, Inflammation, and Fibrosis in Patients With Albuminuric and Nonalbuminuric Diabetic Kidney Disease
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Evaluation of Urinary Biomarkers of Proximal Tubular Injury, Inflammation, and Fibrosis in Patients With Albuminuric and Nonalbuminuric Diabetic Kidney Disease

机译:近端管状损伤,炎症和纤维化患者患者尿液和壬糖尿病肾疾病肾病尿的泌尿生物标志物评价

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IntroductionAlbuminuric and nonalbuminuric pathways contribute to diabetic kidney disease. Proximal tubule and inflammation play important roles in these processes. Urinary biomarker(s) to detect early kidney damage and predict progression are needed.MethodsNine urinary biomarkers were measured at baseline in 400 patients with diabetes. Correlation and multivariate logistic and linear regression analyses were performed to assess the association of biomarkers with chronic kidney disease and progression.ResultsIn the albumin/creatinine ratio (ACR)?<3 cohort, the only biomarker significantly associated with estimated glomerular filtration rate?< 60 ml/min wasN-acetyl-β-d-glucosaminidase. A combination of ACR and monocyte chemoattractant protein 1 (MCP1) were significantly associated with stage 2 chronic kidney disease in this cohort. Logistic models showed that in patients with all levels of albuminuria, ACR, retinol binding protein (RBP), and MCP1 were associated with progression. A model including MCP1, interleukin 6, and neutrophil gelatinase-associated lipocalin showed significant association with progression to chronic kidney disease 3/4 in the ACR?<3 cohort. Linear mixed-model regression analyses demonstrated MCP1, RBP, and ACR as significant proteins associated with progression to stage 3 or worse, whereas MCP1 was the only significant biomarker in the ACR?<3 cohort. Time-to-event and Cox proportional hazard models confirmed significant hazard ratios for progression for ACR, RBP, and MCP1, with significant differences noted between quantiles of biomarkers for ACR, RBP, and MCP1.ConclusionIn this study of diabetic patients with single baseline measurements of urinary biomarkers, albumin, RBP, and MCP1 were significantly associated with chronic kidney disease progression at all levels of albuminuria. Inflammatory cytokines, neutrophil gelatinase-associated lipocalin, and MCP1 were associated with progression in patients without albuminuria.N-acetyl-β-d-glucosaminidase demonstrated a significant association with an estimated glomerular filtration rate?< 60 ml/min in the ACR?<3 cohort.
机译:介绍会产生的肾脉和壬糖尿病有助于糖尿病肾病。近端小管和炎症在这些过程中起重要作用。尿生物标志物检测早期肾脏损伤和预测进展。在400例糖尿病患者的基线下测量含量尿生物标志物。进行相关性和多变量物流和线性回归分析,以评估生物标志物与慢性肾病和进展的关联。蛋白蛋白/肌酐比(ACR)β3,唯一与估计肾小球过滤速率显着相关的生物标志物?<60 ML / MIN WASN-乙酰基-β-D-葡糖胺酶。 ACR和单核细胞化学蛋白1(MCP1)的组合与该队列中的2阶段慢性肾病显着相关。物流模型表明,在患有各种水平的白蛋白尿患者中,ACR,视黄醇结合蛋白(RBP)和MCP1与进展相关。包括MCP1,白细胞介素6和中性粒细胞明胶酶相关脂素的模型表现出与ACRα3群中的3/4慢性肾病的进展相关。线性混合模型回归分析显示MCP1,RBP和ACR作为与进展到第3阶段或更糟相关的重要蛋白质,而MCP1是ACR中唯一的重要生物标志物<3队列。事件时间和Cox比例危险模型证实了ACR,RBP和MCP1的进展的显着危险比,ACR,RBP和MCP1的生物标志物的量级差异有显着差异。结论糖尿病患者的单一基线测量的研究尿生物标志物,白蛋白,RBP和MCP1与各种含白蛋白尿水平的慢性肾脏疾病进展显着相关。炎症细胞因子,中性粒细胞凝胶酶相关的脂素和MCP1与没有白蛋白尿尿素的患者的进展相关.N-乙酰-β-D-葡糖苷酶,证明了与估计的肾小球过滤速率有显着关联?在ACR中的<60ml / min?< 3个队列。

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