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2型糖尿病和早期糖尿病肾病患者血浆和尿液样本靶向代谢组学分析的生物标志物谱分析

Biomarker Profiling with Targeted Metabolomic Analysis of Plasma and Urine Samples in Patients with Type 2 Diabetes Mellitus and Early Diabetic Kidney Disease.

作者信息

Mogos Maria, Socaciu Carmen, Socaciu Andreea Iulia, Vlad Adrian, Gadalean Florica, Bob Flaviu, Milas Oana, Cretu Octavian Marius, Suteanu-Simulescu Anca, Glavan Mihaela, Balint Lavinia, Ienciu Silvia, Iancu Lavinia, Jianu Dragos Catalin, Ursoniu Sorin, Petrica Ligia

机构信息

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.

出版信息

J Clin Med. 2024 Aug 10;13(16):4703. doi: 10.3390/jcm13164703.

Abstract

: Over the years, it was noticed that patients with diabetes have reached an alarming number worldwide. Diabetes presents many complications, including diabetic kidney disease (DKD), which can be considered the leading cause of end-stage renal disease. Current biomarkers such as serum creatinine and albuminuria have limitations for early detection of DKD. : In our study, we used UHPLC-QTOF-ESI+-MS techniques to quantify previously analyzed metabolites. Based on one-way ANOVA and Fisher's LSD, untargeted analysis allowed the discrimination of six metabolites between subgroups P1 versus P2 and P3: tryptophan, kynurenic acid, taurine, l-acetylcarnitine, glycine, and tiglylglycine. : Our results showed several metabolites that exhibited significant differences among the patient groups and can be considered putative biomarkers in early DKD, including glycine and kynurenic acid in serum ( < 0.001) and tryptophan and tiglylglycine ( < 0.001) in urine. : Although we identified metabolites as potential biomarkers in the present study, additional studies are needed to validate these results.

摘要

多年来,人们注意到糖尿病患者在全球范围内已达到惊人的数量。糖尿病会引发许多并发症,包括糖尿病肾病(DKD),而糖尿病肾病可被视为终末期肾病的主要原因。目前的生物标志物,如血清肌酐和蛋白尿,在早期检测DKD方面存在局限性。在我们的研究中,我们使用超高效液相色谱-四极杆飞行时间-电喷雾电离质谱技术(UHPLC-QTOF-ESI+-MS)对之前分析过的代谢物进行定量。基于单因素方差分析和Fisher最小显著差异法,非靶向分析能够区分P1与P2和P3亚组之间的六种代谢物:色氨酸、犬尿氨酸、牛磺酸、L-乙酰肉碱、甘氨酸和惕各酰甘氨酸。我们的研究结果显示,有几种代谢物在患者组之间表现出显著差异,可被视为早期DKD的潜在生物标志物,包括血清中的甘氨酸和犬尿氨酸(<0.001)以及尿液中的色氨酸和惕各酰甘氨酸(<0.001)。尽管在本研究中我们将这些代谢物鉴定为潜在的生物标志物,但仍需要进一步的研究来验证这些结果。

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