Gestational diabetes mellitus-associated changes in the breast milk metabolome alters the neonatal growth trajectory.
Adult
Birth Weight
Body-Weight Trajectory
Case-Control Studies
Chromatography, Liquid
Diabetes, Gestational
/ metabolism
Female
Humans
Infant Nutritional Physiological Phenomena
Infant, Newborn
/ growth & development
Metabolome
Milk, Human
/ metabolism
Pregnancy
ROC Curve
Statistics, Nonparametric
Tandem Mass Spectrometry
Weight Gain
Gestational diabetes mellitus
Human breast milk
Metabolome
Neonatal growth
Journal
Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
received:
05
12
2020
revised:
22
01
2021
accepted:
08
02
2021
pubmed:
1
3
2021
medline:
28
12
2021
entrez:
28
2
2021
Statut:
ppublish
Résumé
Gestational diabetes mellitus (GDM) is the most common metabolic disturbance during pregnancy and leads to an altered metabolic profile of human breast milk (HBM). The association between HBM metabolites and neonatal growth in GDM pregnancies has not been thoroughly investigated. The primary aim was to quantify differences in the HBM metabolome between normal and GDM pregnancies. The secondary aim was to identify metabolites associated with neonatal growth during the first year postpartum. In the present study, mothers intending to exclusively breastfeed (BF) and their newborns (mother-infant pairs) were recruited at delivery (n = 129 normal pregnancies and n = 98 GDM pregnancies). HBM samples (colostrum, transition milk, and mature milk) from mothers with normal pregnancies (n = 50) and GDM pregnancies (n = 50) were subjected to metabolomic profiling via liquid chromatography tandem mass spectrometry (LC-MS/MS). Receiver operating characteristic (ROC) analysis revealed the metabolomic fingerprints of GDM-associated mature HBM. Correlations between metabolites and neonatal body weight gain (BWG) were evaluated by Spearman correlation analysis. In total, 620 metabolites were identified in each HBM sample; 253 compounds had the same variation patterns, whereas 38 compounds had significantly different pattern transitions between the GDM and normal groups. Moreover, 12, 49 and 28 metabolites exhibited significant differences in the 3 milk types between the 2 groups. Twenty-two metabolites were confirmed by ROC analysis as metabolomic fingerprints in the mature BM of GDM patients. Ten compounds were significantly negatively correlated with neonatal growth, and only 2 unsaturated lipids (eicosatrienoic acid (FA 20:3) and lysophosphatidylcholine (LysoPC) (22:6)) were positively correlated with neonatal BWG. GDM is associated with alterations in the HBM metabolome. Only a small subset of compounds are associated with neonatal body weight (BW). ChiCTR-ROC-17011508. Prospectively registered on 26 May 2017 (http://www.chictr.org.cn/listbycreater.aspx).
Sections du résumé
BACKGROUND
Gestational diabetes mellitus (GDM) is the most common metabolic disturbance during pregnancy and leads to an altered metabolic profile of human breast milk (HBM). The association between HBM metabolites and neonatal growth in GDM pregnancies has not been thoroughly investigated.
AIMS
The primary aim was to quantify differences in the HBM metabolome between normal and GDM pregnancies. The secondary aim was to identify metabolites associated with neonatal growth during the first year postpartum.
METHODS
In the present study, mothers intending to exclusively breastfeed (BF) and their newborns (mother-infant pairs) were recruited at delivery (n = 129 normal pregnancies and n = 98 GDM pregnancies). HBM samples (colostrum, transition milk, and mature milk) from mothers with normal pregnancies (n = 50) and GDM pregnancies (n = 50) were subjected to metabolomic profiling via liquid chromatography tandem mass spectrometry (LC-MS/MS). Receiver operating characteristic (ROC) analysis revealed the metabolomic fingerprints of GDM-associated mature HBM. Correlations between metabolites and neonatal body weight gain (BWG) were evaluated by Spearman correlation analysis.
RESULTS
In total, 620 metabolites were identified in each HBM sample; 253 compounds had the same variation patterns, whereas 38 compounds had significantly different pattern transitions between the GDM and normal groups. Moreover, 12, 49 and 28 metabolites exhibited significant differences in the 3 milk types between the 2 groups. Twenty-two metabolites were confirmed by ROC analysis as metabolomic fingerprints in the mature BM of GDM patients. Ten compounds were significantly negatively correlated with neonatal growth, and only 2 unsaturated lipids (eicosatrienoic acid (FA 20:3) and lysophosphatidylcholine (LysoPC) (22:6)) were positively correlated with neonatal BWG.
CONCLUSIONS
GDM is associated with alterations in the HBM metabolome. Only a small subset of compounds are associated with neonatal body weight (BW).
TRIAL REGISTRATION
ChiCTR-ROC-17011508. Prospectively registered on 26 May 2017 (http://www.chictr.org.cn/listbycreater.aspx).
Identifiants
pubmed: 33640207
pii: S0261-5614(21)00088-1
doi: 10.1016/j.clnu.2021.02.014
pii:
doi:
Banques de données
ChiCTR
['ChiCTR-ROC-17011508']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4043-4054Informations de copyright
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest The authors declare no conflict of interest.