Mogos Maria, Milas Oana, Socaciu Carmen, Socaciu Andreea Iulia, Vlad Adrian, Gadalean Florica, Bob Flaviu, Cretu Octavian Marius, Suteanu-Simulescu Anca, Glavan Mihaela, Balint Lavinia, Ienciu Silvia, Iancu Iuliana-Lavinia, Jianu Dragos Catalin, Ursoniu Sorin, Petrica Ligia
Department of Internal Medicine II-Division of Nephrology, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania.
County Emergency Hospital Timisoara, 300723 Timisoara, Romania.
Biomedicines. 2025 Mar 10;13(3):675. doi: 10.3390/biomedicines13030675.
: The pathogenesis of diabetic kidney disease (DKD) is complex and multifactorial. Because of its complications and reduced number of diagnostic biomarkers, it is important to explore new biomarkers with possible roles in the early diagnosis of DKD. Our study aims to investigate the pattern of previously identified metabolites and their association with biomarkers of endothelial dysfunction, proximal tubule (PT) dysfunction, and podocyte injury. : A total of 110 participants, comprising 20 healthy individuals and 90 patients divided in three groups were enrolled in the study: normoalbuminuria, microalbuminuria, and macroalbuminuria. Untargeted and targeted metabolomic methods were employed to assess urinary and serum biomarkers, as well as indicators of endothelial dysfunction, podocyte damage, and PT dysfunction through ELISA techniques. : Our research uncovered specific metabolites that exhibit varying levels across different sub-groups. Notably, glycine serves as a distinguishing factor between group C and the normoalbuminuric group. Furthermore, glycine is correlated with endothelial markers, especially VCAM. We observed a gradual decrease in kynurenic acid levels from group C to group P3; this biomarker also demonstrates an inverse relationship with both p-selectin and VCAM. Additionally, tryptophan levels decline progressively from group C to group P3, accompanied by a negative correlation with p-selectin and VCAM. Urinary tiglylglycine also differentiates among the patient groups, with concentrations decreasing as the condition worsens. It shows a strong positive correlation with nephrin, podocalyxin, KIM1, and NAG. : In conclusion, glycine, tiglylglycine, kynurenic acid and tryptophan may be considered putative biomarkers for early diagnosis of DKD and T2DM progression.
糖尿病肾病(DKD)的发病机制复杂且具有多因素性。由于其并发症以及诊断生物标志物数量减少,探索在DKD早期诊断中可能发挥作用的新生物标志物很重要。我们的研究旨在调查先前鉴定的代谢物模式及其与内皮功能障碍、近端小管(PT)功能障碍和足细胞损伤生物标志物的关联。
共有110名参与者纳入该研究,包括20名健康个体和90名患者,后者分为三组:正常白蛋白尿组、微量白蛋白尿组和大量白蛋白尿组。采用非靶向和靶向代谢组学方法评估尿液和血清生物标志物,以及通过酶联免疫吸附测定(ELISA)技术检测内皮功能障碍、足细胞损伤和PT功能障碍的指标。
我们的研究发现了在不同亚组中呈现不同水平的特定代谢物。值得注意的是,甘氨酸是C组与正常白蛋白尿组之间的一个区分因素。此外,甘氨酸与内皮标志物相关,尤其是血管细胞黏附分子(VCAM)。我们观察到犬尿酸水平从C组到P3组逐渐降低;该生物标志物还与P选择素和VCAM均呈负相关。此外,色氨酸水平从C组到P3组逐渐下降,与P选择素和VCAM呈负相关。尿中惕各酰甘氨酸在患者组之间也有差异,其浓度随病情加重而降低。它与nephrin、足细胞表面蛋白、肾损伤分子1(KIM1)和N-乙酰-β-D-氨基葡萄糖苷酶(NAG)呈强正相关。
总之,甘氨酸、惕各酰甘氨酸、犬尿酸和色氨酸可被视为DKD早期诊断和2型糖尿病进展的潜在生物标志物。