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SAL_16782 details
Primary information
SALIDSAL_16782
Biomarker namePropionate I
Biomarker TypeDiagnostic
Sampling Method12 PD patients (mean age of 10.10 years +- 4.25 years; 50.0% males) were selected. For the healthy control group, 31 children and adolescents (mean age of 12.18 years +- 3.76 years; 52.9% males)
Collection MethodSaliva samples were prepared by mixing 0.45 mL of salivary supernatant
Analysis MethodNMR
Collection SiteSupernatant Saliva
Disease CategoryKidney Disorder
Disease/ConditionPeritoneal Dialysis (PD)
Disease SubtypeNA
Fold Change/ ConcentrationNA
Up/DownregulatedDecrease
ExosomalNA
OrganismHomo sapiens
PMID32880015
Year of Publication2020
Biomarker ID104745
Biomarker CategoryMetabolite
SequenceCCC(=O)[O-]
Title of studySalivary metabolome of children and adolescents under peritoneal dialysis
Abstract of studyOBJECTIVE: To study the influence of peritoneal dialysis (PD) on the salivary metabolite profile of children and adolescents with renal failure.MATERIALS AND METHODS: Healthy children/adolescents (n = 31; mean age: 12.18 ± 3.76) and children/adolescents subjected to PD (n = 12; mean age: 10.10 ± 4.25) were recruited. Oral health status assessed by the dmft/DMFT and Volpe-Manhold calculus indices. The 1H spectra were acquired in a 600-MHz Bruker nuclear magnetic resonance spectrometer and were subjected to multivariate analysis using partial least squares discriminant analysis (PLS-DA), orthogonal PLS-DA (O-PLS-DA), and univariate analysis through chi-square and t tests (SPSS 20.0, IL, USA), with a significance level of p < 0.05.RESULTS: A similar caries pattern (p = 0.57; chi-square test) was observed between the healthy (dmft = 0.72 ± 1.28 and DMFT 0.93 ± 2.30) and PD groups (dmft = 2.14 ± 3.67, DMFT 0.33 ± 0.71) and dental calculus (p > 0.05, t test). PLS-DA and O-PLS-DA were able to distinguish both groups (ACC = 0.85, R2 = 0.80, Q2 = 0.15). Salivary metabolites decrease in creatine, propionate, and sugar levels in the PD group and an increase in creatinine, butyrate, and lactate levels when compared with the healthy group.CONCLUSIONS: Children and adolescents subjected to PD have a different salivary metabolic profile from that of their healthy subjects.CLINICAL RELEVANCE: Complications of peritoneal dialysis procedures could be monitored by proper knowledge of saliva characteristics as predictors of peritonitis-related outcome. The use of metabolomics in pediatric nephrology may be an innovative methodology for the early diagnosis and monitoring of kidney diseases.