Department of Nephrology, Affiliated Hospital of Nantong University, Nantong Jiangsu, 226001, PR China.
Department of Nephrology, Affiliated Hospital of Nantong University, Nantong Jiangsu, 226001, PR China.
Clin Chim Acta. 2023 Jul 1;547:117448. doi: 10.1016/j.cca.2023.117448. Epub 2023 Jun 17.
To evaluate the potential application of tubularinterstitial biomarkers in the differential diagnosis of diabetic kidney disease (DKD) from non-diabetic kidney disease (NDKD), as well as investigate key clinical and pathological parameters to help improve the stratification of patients according to end-stage renal disease risk.
132 type 2 diabetic patients with chronic kidney disease were enrolled. Patients were categorized into 2 groups according to the renal biopsy results: DKD (n = 61) and NDKD (n = 71).The independent factors of the occurrence of DKD and the diagnostic implications of tubular biomarkers were explored by logistic regression and receiver-operating characteristic curve analysis. Furthermore, predictors were analyzed by least absolute shrinkage and selection operator regression, and constructed a new model for predicting the unfavorable renal outcomes through Cox proportional hazard regression analysis.
Serum neutrophil gelatinase-associated lipocalin (sNGAL) (OR = 1.007; 95%CI = [1.003, 1.012], p = 0.001) was identified as an independent risk factor for the occurrence of DKD in diabetic patients with CKD. Tubular biomarkers including sNGAL, N-acetyl-β-D-glucosaminidase and β2 microglobulin (β2-MG) could complement albuminuria for DKD detection (AUC = 0.926, specificity = 90.14%, sensitivity = 80.33%).Moreover, among of the 47 variables, 4 predictors such as sNGAL, interstitial fibrosis and tubular atrophy (IFTA)score, β2-MG and estimated glomerular filtration rate were selected to construct a new model for predicting the unfavorable renal outcomes through regression analysis. sNGAL (HR = 1.004; 95%CI = [1.001, 1.007], p = 0.013), IFTA score of 2 (HR = 4.283; 95%CI = [1.086, 16.881], p = 0.038), and IFTA score of 3 (HR = 6.855; 95%CI = [1.766, 26.610], p = 0.005) were considered to be independent risk factors for unfavorable renal outcomes.
Tubulointerstitial injury in DKD is independently associated with renal function decline and routinely detected tubular biomarkers are able to enhance the level of non-invasive diagnosis of DKD beyond traditional factors.
评估管状间质生物标志物在鉴别糖尿病肾病(DKD)与非糖尿病肾病(NDKD)中的潜在应用,并探讨关键的临床和病理参数,以帮助根据终末期肾病风险对患者进行分层。
纳入 132 例 2 型糖尿病合并慢性肾脏病患者。根据肾活检结果将患者分为 2 组:DKD(n=61)和 NDKD(n=71)。通过逻辑回归和受试者工作特征曲线分析探讨 DKD 发生的独立因素和管状生物标志物的诊断意义。此外,通过最小绝对收缩和选择算子回归分析预测因子,并通过 Cox 比例风险回归分析构建预测不良肾脏结局的新模型。
血清中性粒细胞明胶酶相关脂质运载蛋白(sNGAL)(OR=1.007;95%CI=[1.003, 1.012],p=0.001)被确定为糖尿病肾病患者 CKD 中 DKD 发生的独立危险因素。管状生物标志物包括 sNGAL、N-乙酰-β-D-氨基葡萄糖苷酶和β2 微球蛋白(β2-MG)可补充白蛋白尿用于 DKD 检测(AUC=0.926,特异性=90.14%,敏感性=80.33%)。此外,在 47 个变量中,通过回归分析选择了 4 个预测因子,如 sNGAL、间质纤维化和肾小管萎缩(IFTA)评分、β2-MG 和估计肾小球滤过率,以构建用于预测不良肾脏结局的新模型。sNGAL(HR=1.004;95%CI=[1.001, 1.007],p=0.013)、IFTA 评分 2(HR=4.283;95%CI=[1.086, 16.881],p=0.038)和 IFTA 评分 3(HR=6.855;95%CI=[1.766, 26.610],p=0.005)被认为是不良肾脏结局的独立危险因素。
DKD 中的肾小管间质损伤与肾功能下降独立相关,常规检测的管状生物标志物能够提高 DKD 非侵入性诊断的水平,超越传统因素。