Identification of potential biomarkers in malnutrition children with severity by
Child malnutrition
Correlation
Metabolic network
Metabolomics
Nuclear magnetic resonance
Journal
European journal of nutrition
ISSN: 1436-6215
Titre abrégé: Eur J Nutr
Pays: Germany
ID NLM: 100888704
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
28
03
2023
accepted:
25
07
2023
medline:
30
10
2023
pubmed:
8
8
2023
entrez:
7
8
2023
Statut:
ppublish
Résumé
Child malnutrition is a global public health problem, but the underlying pathophysiologic mechanisms with severity remain poorly understood, and the potential biomarkers served to the clinical diagnosis are still not available. This study aimed to identify the serum metabolic characteristics of malnourished children with severity. Fasted overnight serum samples were collected following clinical standard procedures among 275 malnourished and 199 healthy children from the Women and Children's Hospital, Xiamen University Child Health Department from July 2020 to May 2022. Nuclear magnetic resonance (NMR)-based metabolomics strategy was applied to identify the potential serum biomarkers of malnutrition from 275 malnourished children aged 4 to 84 months with mild (Mil, 199 cases), moderate (Mod, 101 cases), and severe (Sev, 7 cases) malnutrition. Ten, fifteen, and fifteen differential metabolites were identified from the Mil, Mod, and Sev malnutrition groups, respectively. Eight common metabolites, including increased acetoacetate, acetone, ethanol, succinate, 3-hydroxybutyrate, and decreased alanine, methionine, and N-acetyl-glycoprotein, could be the potential biomarkers for malnourished children. The altered metabolic pathways were mainly related to energy metabolism and amino acid metabolism via the network-based pathway enrichment. Eight potential biomarkers, including acetoacetate, acetone, ethanol, succinate, 3-hydroxybutyrate, alanine, methionine, and N-acetyl-glycoprotein, could characterize the child malnutrition. Child malnutrition-induced abnormal energy metabolism, impaired nutrition utilization and the reduced nutrient availability, and more metabolic disturbance will appear with the severity. Our results are valuable for further studies on the etiology and pathogenesis of malnutrition for clinical intervention and improvement.
Identifiants
pubmed: 37550595
doi: 10.1007/s00394-023-03224-7
pii: 10.1007/s00394-023-03224-7
doi:
Substances chimiques
3-Hydroxybutyric Acid
TZP1275679
Acetoacetates
0
acetoacetic acid
4ZI204Y1MC
Acetone
1364PS73AF
Alanine
OF5P57N2ZX
Biomarkers
0
Ethanol
3K9958V90M
Glycoproteins
0
Methionine
AE28F7PNPL
Succinates
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3193-3205Subventions
Organisme : Natural Science Foundation of Fujian Province
ID : No. 2022J01062
Organisme : National Natural Science Foundation of China
ID : No. 82072015
Organisme : National Natural Science Foundation of China
ID : No. 82103859
Organisme : Guiding project of the Natural Science Foundation of Fujian
ID : No. 2019D010
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
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