4941 A METABOLOMIC FINGERPRINT PERSPECTIVE OF GUT-DERIVED METABOLITES ON EARLY DIABETIC KIDNEY DISEASE IN TYPE 2 DIABETES MELLITUS PATIENTS

• Published in: Nephrology, dialysis, transplantation Vol. 38; no. Supplement_1
• Main Authors: Balint, Lavinia, Socaciu, Carmen, Socaciu, Andreea, Vlad, Adrian, Gadalean, Florica, Bob, Flaviu, Milas, Livia Oana, Suteanu-Simulescu, Anca, Glavan, Mihaela, Ienciu, Silvia, Cretu, Octavian, Mogos, Maria, Jianu, Dragos, Petrica, Ligia
• Format: Journal Article
• Language: English
• Published: 14.06.2023
• ISSN: 0931-0509; 1460-2385
• DOI: 10.1093/ndt/gfad063c_4941

Abstract Background and Aims Type 2 diabetes mellitus (T2DM) is the first cause of end stage renal disease worldwide. Metabolite profiling is an emerging field of great significance, as T2DM prevalence is continuously rising. The subtle dynamics of gut microbiota derived metabolites may have important implications in diabetic kidney disease (DKD) development. Nitrogen metabolic pathway and retinoic acid signaling pathway seem to be involved in early pathogenic mechanisms of DKD. The aim of study was to discover new putative gut-derived biomarkers that interfere with early physio-pathological mechanisms in DKD, regarding the podocyte, tubule, and the renal endothelium. Method The serum and urine of 90 T2DM patients (P group) and 20 healthy subjects (C group), were assessed in a cross-sectional study, by ultra-high-performance liquid chromatography coupled with electrospray ionization-quadrupole-time of flight-mass spectrometry (UHPLC-QTOF-ESI+-MS) techniques. P group was divided in 3 subgroups (normoalbuminuria-P1, microalbuminuria-P2, macroalbuminuria-P3). Statistical analysis was performed by untargeted multivariate (PLSDA, VIP scores, Random Forest, Biomarker analysis) and univariate (One Way ANOVA, Biomarker Analysis) methods. Results Multivariate analysis, by which the P group vs. C group were compared, displayed: (1) in serum samples: increased levels (P>C) of all-trans retinoic acid, cysteine-S sulfate, oleoylglicine, threonylglycine and decreased levels (P<C) of phenylalanine, tyrosine, kynurenic acid; (2) in urine samples, there were increased levels of: all-trans retinoic acid, indoxyl suflate, serotonin sulfate and glycylprolylarginine. Subsequently, by applying univariate analysis, the biomarkers derived from gut microbiota were selected: (1) in serum: all-trans retinoic acid (C<P1<P2<3), phenylalanine, tyrosine, and kynurenic acid with levels decreasing progressively from C to P1-P2-P3 (2) in urine: all trans retinoic acid, indoxyl sulfate, and serotonin sulfate, showing good differentiation between C and P1, and slight differences between P1∼P2∼P3 subgroups. The study suggests that ATRAs dynamic is disturbed in the normoalbuminuric stage of DKD. While its urinary levels correlated significantly with albuminuria, the changes observed in P1 subgroup, in serum and urine, may be correlated to the loss of renal tubular tight junction as a result of claudin downregulation. Phenylalanine and tyrosine, a part of nitrogen metabolic pathway, are indicators of the new-onset DKD. Their levels were upregulated in serum vs. urine, indicating their possible involvement in early DKD when comparing C vs. P1-P2-P3. Kynurenic acid and indoxyl-sulfate result from tryptophan metabolism. Low levels in serum of kynurenic acid may suggest its possible implication in incipient endothelial dysfunction in DKD. Indoxyl-sulfate (IS) urinary excretion is dependent on albuminuria. The study shows an elevated excretion of IS, in the normoalbuminuric group compared to controls and may suggest a tubular damage that precedes the glomerular modifications in DKD. Conclusion UHPLC-QTOF-ESI+-MS untargeted analysis reveals a particular metabolite fingerprint in early DKD. The study describes all-trans retinoic acid, phenylalanine, tyrosine, kynurenic acid, and indoxyl sulfate, as potential key biomarkers involved in early DKD pathogenesis, their levels being expressed in P1 subgroup compared with C group, and P2, P3 subgroups.