Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 29 June 2024 / Approved: 1 July 2024 / Online: 1 July 2024 (08:13:01 CEST)

How to cite: Mogos, M.; Socaciu, C.; Socaciu, A. I.; Vlad, A.; Gadalean, F.; Bob, F.; Milas, O.; Cretu, O. M.; Suteanu-Simulescu, A.; Glavan, M.; Balint, L.; Ienciu, S.; Iancu, L.; Jianu, C.; Ursoniu, S.; Petrica, L. Biomarker Profiling by Targeted Metabolomic Analysis of Plasma and Urine Samples in Type 2 Diabetes Mellitus Patients and Early Diabetic Kidney Disease. Preprints 2024, 2024070043. https://doi.org/10.20944/preprints202407.0043.v1 Mogos, M.; Socaciu, C.; Socaciu, A. I.; Vlad, A.; Gadalean, F.; Bob, F.; Milas, O.; Cretu, O. M.; Suteanu-Simulescu, A.; Glavan, M.; Balint, L.; Ienciu, S.; Iancu, L.; Jianu, C.; Ursoniu, S.; Petrica, L. Biomarker Profiling by Targeted Metabolomic Analysis of Plasma and Urine Samples in Type 2 Diabetes Mellitus Patients and Early Diabetic Kidney Disease. Preprints 2024, 2024070043. https://doi.org/10.20944/preprints202407.0043.v1

Abstract

The incidence of diabetes mellitus (DM) continues to rise worldwide and one of the most serious microvascular complications is diabetic kidney disease (DKD), which is the leading cause of end-stage renal disease. Current bi-omarkers such as urinary albumin excretion rate have limitation for early detection of DKD. In our study we used ultra-high-performance liquid chromatography coupled with electrospray ionization-quadrupole-time of flight-mass spectrometry (UHPLC-QTOF-ESI+-MS) techniques to quantify previously analyzed metabolites, such as tryptophan, kynurenic acid, taurine, l-acetylcarnitine, glycine, and tiglylglycine. We performed the targeted analy-sis of metabolites from urine and serum samples, collected from 110 subjects. Of these, 90 patients with type 2 DM (T2DM) were divided according to the urinary albumin/creatinine ratio (UACR) into normoalbuminuria 300 mg/g groups, respectively, while 20 subjects were rep-resented by healthy controls. Through various validation methods, we identified several metabolites as potential biomarkers, such as kynurenic acid, glycine, and l-tryptophan in serum and l-acetylcarnitine, tiglylglycine, and tau-rine in urine.

Keywords

diabetic kidney disease; targeted metabolomics; biomarkers; amino acids

Subject

Medicine and Pharmacology, Urology and Nephrology

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