Metabolic dysfunction in pregnancy: Fingerprinting the maternal metabolome using proton nuclear magnetic resonance spectroscopy.
APrON study
biomarker
body mass index
gestational diabetes mellitus
maternal health
metabolomics
nmr spectroscopy
nuclear magnetic resonance
obesity
pathway analysis
personalized medicine
pregnancy
preterm birth
urine
Journal
Endocrinology, diabetes & metabolism
ISSN: 2398-9238
Titre abrégé: Endocrinol Diabetes Metab
Pays: England
ID NLM: 101732442
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
20
06
2020
revised:
30
09
2020
accepted:
24
10
2020
entrez:
3
2
2021
pubmed:
4
2
2021
medline:
4
2
2021
Statut:
epublish
Résumé
Maternal metabolic disorders place the mother at risk for negative pregnancy outcomes with potentially long-term health impacts for the child. Metabolic syndrome, a cluster of features associated with increased risk of metabolic disorders, such as cardiovascular disease, diabetes and stroke, affects roughly one in five Canadians. Metabolomics is a relatively new technique that may be a useful tool to identify women at risk of metabolic disorders. This study set out to characterize urinary metabolic biomarkers of pregnant women with obesity and of pregnant women who later developed gestational diabetes mellitus (pre-GDM), compared to controls. Second trimester urine samples were collected through the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort and examined with Obesity and pre-GDM metabolomes were distinct from controls and from each other. In each comparison, the glycine, serine and threonine pathways were the most impacted. Pantothenate, formic acid and glycine were downregulated by obesity, while formic acid, dimethylamine and galactose were downregulated in pre-GDM. The three most impacted metabolites for the comparison of obesity versus pre-GDM groups were upregulated creatine/caffeine, downregulated sarcosine/dimethylamine and upregulated maltose/sucrose in individuals who later developed GDM. These findings suggest a role for urinary metabolomics in the prediction of GDM and metabolic marker identification for potential diagnostics and prognostics in women at risk.
Identifiants
pubmed: 33532625
doi: 10.1002/edm2.201
pii: EDM2201
pmc: PMC7831222
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
e00201Informations de copyright
© 2020 The Authors. Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.
Déclaration de conflit d'intérêts
The authors have no conflicts or competing interests to declare.
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