NMR-based metabolic profiling of children with premature adrenarche.
Biofluids
Metabolomic profiling
Metabolomics
NMR spectroscopy
Premature adrenarche
Journal
Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889
Informations de publication
Date de publication:
14 10 2022
14 10 2022
Historique:
received:
03
05
2022
accepted:
30
09
2022
entrez:
14
10
2022
pubmed:
15
10
2022
medline:
19
10
2022
Statut:
epublish
Résumé
Premature adrenarche (PA) for long time was considered a benign condition but later has been connected to various diseases in childhood and adulthood which remains controversial. To investigate the effect of premature adrenarche on the metabolic phenotype, and correlate the clinical and biochemical data with the metabolic profile of children with PA. Nuclear magnetic resonance (NMR)-based untargeted and targeted metabolomic approach in combination with multivariate and univariate statistical analysis applied to study the metabolic profiles of children with PA. Plasma, serum, and urine samples were collected from fifty-two children with Idiopathic PA and forty-eight age-matched controls from the division of Pediatric Endocrinology of the University Hospital of Patras were enrolled. Metabolomic results showed that plasma and serum glucose, myo-inositol, amino acids, a population of unsaturated lipids, and esterified cholesterol were higher and significantly different in PA children. In the metabolic profiles of children with PA and age-matched control group a gradual increase of glucose and myo-inositol levels was observed in serum and plasma, which was positively correlated their body mass index standard deviation score (BMI SDS) values respectively. Urine This study provides evidence that PA driven metabolic changes begin during the childhood and PA may has an inductive role in a BMI-driven increase of specific metabolites. Finally, urine may be considered as the best biofluid for identification of the PA metabolism as it reflects more clearly the PA metabolic fingerprint.
Identifiants
pubmed: 36239863
doi: 10.1007/s11306-022-01941-4
pii: 10.1007/s11306-022-01941-4
pmc: PMC9568450
doi:
Substances chimiques
Amino Acids
0
Lipids
0
Inositol
4L6452S749
Cholesterol
97C5T2UQ7J
Glucose
IY9XDZ35W2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
78Informations de copyright
© 2022. The Author(s).
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