Differences in mature human milk metabolic profiles based on delivery mode and parity

Human milk (HM) is regarded as the gold standard for infant nutrition. The metabolite profiles of mature human milk (MHM) have been reported to be affected by maternal physiological conditions, lactation stage, and maternal diets. We collected MHM (3-6 months postpartum) from 32 healthy mothers with different parities and delivery modes. Then, GC-MS and LC-MS were used to perform an untargeted metabolomic study. A clear distinction can be observed in terms of MHM metabolites of mothers with different delivery modes and parities with a 95% confidence interval. A total of 119 differentially expressed metabolites (DEMs) were identified in MHM of women with different delivery modes. Metabolic pathway analyses indicated that these DEMs were mainly associated with fatty acid biosynthesis. The higher abundances of these DEMs in MHM of cesarean women may be due to the differing levels of cortisol and oxytocin between mothers with different delivery modes. Meanwhile, 284 DEMs were identified in MHM of women with different parities. These DEMs were primarily related to ABC transporters, center carbon metabolism in cancer, and D-amino acid metabolism. These findings highlighted the impact of delivery mode and parity on HM metabolite composition. Further research is needed to explore the long-term health implications of these metabolic differences and optimize infant nutrition strategies.

Authors

Institutions

Publication Details

Journal
The Journal of Nutritional Biochemistry
Published
2025-05-19
DOI
https://doi.org/10.1016/j.jnutbio.2025.109967
Primary Topic
Infant Nutrition and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differences in mature human milk metabolic profiles based on delivery mode and parity

Cai Shen, Xuebing Xu, Ling‐Zhi Cheong, Oi Ming Lai et al.
The Journal of Nutritional Biochemistry
Infant Nutrition and Health
article

Differences in mature human milk metabolic profiles based on delivery mode and parity

Cai Shen, Xuebing Xu, Ling‐Zhi Cheong, Oi Ming Lai, Maolin Tu, Hong Zhang, Dan Yao, Jiayue Tang, Yanan Liu
article en

Abstract

Human milk (HM) is regarded as the gold standard for infant nutrition. The metabolite profiles of mature human milk (MHM) have been reported to be affected by maternal physiological conditions, lactation stage, and maternal diets. We collected MHM (3-6 months postpartum) from 32 healthy mothers with different parities and delivery modes. Then, GC-MS and LC-MS were used to perform an untargeted metabolomic study. A clear distinction can be observed in terms of MHM metabolites of mothers with different delivery modes and parities with a 95% confidence interval. A total of 119 differentially expressed metabolites (DEMs) were identified in MHM of women with different delivery modes. Metabolic pathway analyses indicated that these DEMs were mainly associated with fatty acid biosynthesis. The higher abundances of these DEMs in MHM of cesarean women may be due to the differing levels of cortisol and oxytocin between mothers with different delivery modes. Meanwhile, 284 DEMs were identified in MHM of women with different parities. These DEMs were primarily related to ABC transporters, center carbon metabolism in cancer, and D-amino acid metabolism. These findings highlighted the impact of delivery mode and parity on HM metabolite composition. Further research is needed to explore the long-term health implications of these metabolic differences and optimize infant nutrition strategies.

The Journal of Nutritional BiochemistryVol. 144
Ningbo University (CN), Universiti Putra Malaysia (MY), The University of Melbourne (AU), Shanghai CASB Biotechnology (China) (CN), Ecosystem Sciences (AU)
Department of Education of Zhejiang Province
Zero hunger
Openalex Percentile: Top 87%
Infant Nutrition and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.