#5736 IDENTIFICATION AND CHARACTERIZATION OF URINARY AND SERUM AMINOACIDS IN DIABETIC KIDNEY DISEASE PATIENTS USING MS-HPLC

Abstract Background and Aims Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease, but few biomarkers early identification DKD are available. The aim study was to asses new urinary plasma in stages DKD, especially normoalbuminuric type 2 diabetes mellitus (DM) patients. Method This cross-sectional pilot performed an integrated metabolomic profiling blood urine 90 patients with DM, classified into 3 (30 normo-, 30 micro-, macroalbuminuric, respectively) age- gender-matched healthy controls through high-performance liquid chromatography mass spectrometry (UPLC-QTOF-ESI* MS). Metabolites were discovered processed by advanced Metaboanalyst 5.0. online software using multi- univariate untargeted analysis. Both multivariate bioinformatics confirmed relevance certain amino acids as be responsible for occurrence involvement course DM. Results A total 5 metabolites, namely Taurine, Tiglylglycine, Tryptophan, Kynurenic acid, L-acetylcarnitine potential DKD. UPLC-QTOF-ESI* MS revealed that: (1) levels increased DM compared control subjects; (2) a number key have been identified urine, which reflect injury at specific sites along nephron, including glomerular tubular damage, oxidative stress, inflammation, activation intrarenal renin-angiotensin system. Conclusion High-performance coupled showed that results provide particular profile related metabolites could impact both glomeruli tubules, even