PXD056353-1
PXD056353 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Temporal Dynamics of the Milk Proteome in Women with Gestational Diabetes Mellitus |
| 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. |
| HostingRepository | MassIVE |
| AnnounceDate | 2024-09-29 |
| AnnouncementXML | Submission_2024-09-29_01:18:37.689.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | muqier |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | FormylMet |
| Instrument | instrument model |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2024-09-29 00:06:57 | ID requested | |
| ⏵ 1 | 2024-09-29 01:18:38 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: gestational diabetes mellitus, milk proteome, breast milk, lactational period, infant growth |
Contact List
| MU Qier | |
|---|---|
| contact affiliation | Beijing Institute of Nutritional Resources |
| contact email | muqier1027@163.com |
| lab head | |
| muqier | |
| contact affiliation | Beijing Institute of Nutritional Resources |
| contact email | muqier1027@163.com |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/v08/MSV000095983/ |
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