Dataset Information

Stage-dependent proteomic remodeling of human milk across early lactation

ABSTRACT: Characterizing stage-dependent modulation of the human milk proteome in milk specimens collected within the first 10 days postpartum and at the fifth week of lactation in paired samples obtained from the same mothers of term- and premature newborns.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Milk

SUBMITTER: Maciej Suski

LAB HEAD: Maciej Suski

PROVIDER: PXD074649 | Pride | 2026-08-01

REPOSITORIES: Pride

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Publications

Time-Dependent Differences in the Human Milk Proteome After Preterm Birth: A Paired Two-Stage Proteomic Study.

Mól Nina N Zasada Magdalena M Suski Maciej M Zasada Wojciech W Kwinta Przemko P

Nutrients 20260305 5

<b>Background/Objectives:</b> Human milk composition is shaped by gestational age at delivery and stage of lactation; however, proteomic differences between milk from mothers of preterm and term infants and their temporal patterns remain incompletely characterised. <b>Methods:</b> This prospective study enrolled 40 lactating mothers: 20 who delivered preterm infants (<32 weeks' gestation) and 20 who delivered at term (37-42 weeks). Each provided milk samples during early lactation (first 10 days ...[more]

PMID: 41830017

Similar Datasets

Project description:Objectives To perceive the temporal features of breast milk proteome between women with gestational diabetes mellitus (GDM) and healthy controls across various lactation periods, as well as to explore the potential impacts of these differences on the growth of offspring. Methods The study cohort included twenty mothers with GDM and twenty healthy mothers. Human milk samples were obtained at four distinct time points: colostrum (4-6 days postpartum), transitional milk (12-14 days postpartum), early mature milk (42 days postpartum) and mature milk (4 months postpartum). Shotgun proteomics with label free quantification was applied to analyze the milk proteome. Gene Ontology (GO) enrichment analysis, alongside other bioinfomatic tools were conducted to elucidate the function of differentially expressed proteins. Subsequently, a random forest model was utilized to discern proteins that could reliably differentiate milk samples from mothers with gestational diabetes mellitus (GDM) from those of healthy counterparts. Furthermore, correlative analysis was employed to investigate the association between these proteins and the anthropometric indices of infants. Results Principal coordinate analysis (PCoA) revealed distinct separations in the milk proteome of GDM and healthy mothers during the initial lactation stages, with these differences diminishing over time. The up-regulated proteins in GDM were predominantly associated with the innate immune system, complement and coagulation cascades, cellular secretion, enzymatic and binding activity, and platelet activation. Six proteins were identified as effective markers for distinguishing milk samples from the two groups, with an average area under the curve (AUC) value of 0.91. Twenty-eight proteins exhibited consistent changes between GDM and healthy groups across at least two lactation stages, many of which were significantly correlated to the anthropometric indices of the offsprings. Conclusions GDM significantly influences the milk proteome, with the extent of alteration diminishing as lactation progresses into the mature milk phase.

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