Abstract
Abstract Background and Aims Peritoneal dialysis (PD) is the main renal replacement treatment for children and adolescents with end stage kidney disease (ESRD). Peritoneal fibrosis is a major complication in long-term PD patients. Aim of the present study is to record the metabolic "fingerprint" of children on PD and to investigate its correlation with PD history and dialysis adequacy as well as the emergence of potential biomarkers that could detect early or predict peritoneal dysfunction. Method Serum samples from 15 patients undergoing peritoneal dialysis were analyzed. Two targeted LC-MS methodologies were used for the determination of 107 metabolites in total. The obtained results were compared based on demographic and clinical parameters, both before and after the dialysis procedure. Serum samples were further divided into subgroups, based on PD duration, creatine clearance, sex, anuria. Reragding metabolic techologies used, all samples were analyzed by a hydrophilic interaction liquid chromatography coupled to mass spectrometry (HILIC-MS / MS) method previously developed and validated in our laboratory for the simultaneous determination of amino acids and their derivatives in biological fluids. Αlso, high flow analysis was carried out (LC-qTOF analysis – HPLC /MS). Results 8-OH-2-deoxyguanosine (8-hydroxy-2' -deoxyguanosine (8-OHdG) was the only metabolite found to differentiate between serum samples collected before and after PD (p<0.05). Grouping the samples by age groups (child, teen and late teen-young adult) we found out that succinate like lactate, N-acetyl-β-d-glucosaminidase (NAG), are potential markers for the quality of PD. Grouping the patients by number of peritonitis episodes (3 groups: no episodes, 1-2 episodes and >3 episodes) cytosine, riboflavin, glutamic acid, methylxantine and malate found to differentiate between the three groups (p <0.05). Regrading the creatinine cleranace, xylose, dCDP, HIAA, pyroglutamic, A CoA and methylxantine seems to be significan biomarkers. Grouping the patients based on the presence or absence of diuresis,HIAA, kynurenic,glucuronic and pantothenic acid found to differentiate between the two groups (p<0.05) Conclusion Based on the literatute the majority of the metabolites showed a statistically significant difference are involved in the inflammation process. Our results are the preliminary results of an ongoing prospective study. Limitation of the study, is the small sample of patients, which does not allow safe clinical interpretation. In any case, metabolomics seems to be a useful tool for the study and identification of biomarkers in patients with ESRD on PD.
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