■导致慢性肾功能衰竭的主要因素是全球范围内的糖尿病肾病(DN)。然而,目前DN的生物标志物诊断效用有限.因此,这项工作旨在阐明microRNA-200a(miR-200a)和microRNA-132(miR-132)的含义及其与NF-κB(核因子-κβ)的相关性,and,TNF-α(肿瘤坏死因子-α)信号识别能够区分晚期和早期DN的生物标志物。
■五十个健康对照,纳入271例2型糖尿病(T2D)患者(男性166例,女性105例)。根据估算的肾小球滤过率(eGFR)将参与者分为7组,糖化血红蛋白(HbA1c%),健康的控制,无DN(G1)的糖尿病,糖尿病伴轻度肾功能损害(G2),和四个DN等级(G3a,G3b,G4和G5)。
■与健康对照相比,DN组血清miR-200a呈线性增加,TNF-α,NF-κB,基质金属蛋白酶(MMP-9)和白细胞介素-6(IL-6)水平和miR-132血清表达降低。在患者中,NF-κB和TNF-α与miR-132呈负相关,已发现与miR-200-a呈正相关。接收器曲线(ROC)的工作特性,证明了这一点,miR-200a在区分早期和晚期DN方面也具有良好的诊断性能。
■MiR-200a以及miR-132表达水平,以及它们与NF-κB/TNF-α信号的相关性,能够区分eGFR较低的DN患者,表明它们作为诊断和预后生物标志物的效用。
UNASSIGNED: The primary factor causing chronic renal failure is diabetic nephropathy (DN) worldwide. However, the current biomarkers for DN have limited diagnostic utility. Thus, this work aimed to clarify the implications of microRNA-200a (miR-200a) and microRNA-132 (miR-132) and their correlation with NF-κB (nuclear factor- kappa beta), and, TNF-α (tumor necrosis factor -alpha) signaling to identify biomarkers able to distinguish late-stage from early- stage DN.
UNASSIGNED: Fifty healthy controls, and 271 type 2 diabetic (T2D) patients (166 male plus 105 female) were enrolled. Participants were stratified into seven groups according to along with the estimated glomerular filtration rate (eGFR), glycated hemoglobin (HbA1c%), healthy controls, diabetes without DN (G1), diabetes with mild renal impairment (G2), and four DN grades (G3a, G3b, G4, and G5).
UNASSIGNED: Compared to healthy controls, the DN groups exhibited linear increases in serum miR-200a, TNF-α, NF-κB, matrix metalloproteinase (MMP-9) and interleukin-6 (IL-6) levels and reductions in miR-132 serum expression. Among the patients, NF-κB and TNF-α produced a negative correlation with miR-132, while, positive correlation has been discovered with miR-200-a. The operating characteristic of the receiver curve (ROC), proved that, miR-200a also miR-132 had good diagnostic performance in distinguishing early from advanced DN.
UNASSIGNED: MiR-200a as well as miR-132 expression levels, and their correlations with NF-κB/TNF-alpha signaling, were able to differentiate between DN patients with lower eGFR, suggesting their utility as diagnostic and prognostic biomarkers.