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The human colostrum whey proteome is altered in gestational diabetes mellitus.

Grapov D, Lemay DG, Weber D, Phinney BS, Azulay Chertok IR, Gho DS, German JB, Smilowitz JT - J. Proteome Res. (2014)

Bottom Line: The objective of the current study was to examine the effect of GDM on the expression of proteins in the whey fraction of human colostrum.Orthogonal partial least-squares discriminant analysis identified 27 proteins that best predict GDM.The power law global error model corrected for multiple testing was used to confirm that 10 of the 27 proteins were also statistically significantly different between women with versus without GDM.

View Article: PubMed Central - PubMed

Affiliation: National Institute of Health West Coast Metabolomics Center, ‡Genome Center, §Genome Center Proteomics Core Facility, ⊥Department of Food Science and Technology, and ¶Foods for Health Institute, University of California Davis , Davis, California 95616, United States.

ABSTRACT
Proteomics of human milk has been used to identify the comprehensive cargo of proteins involved in immune and cellular function. Very little is known about the effects of gestational diabetes mellitus (GDM) on lactation and breast milk components. The objective of the current study was to examine the effect of GDM on the expression of proteins in the whey fraction of human colostrum. Colostrum was collected from women who were diagnosed with (n = 6) or without (n = 12) GDM at weeks 24-28 in pregnancy. Colostral whey was analyzed for protein abundances using high-resolution, high-mass accuracy liquid chromatography tandem mass spectrometry. A total of 601 proteins were identified, of which 260 were quantified using label free spectral counting. Orthogonal partial least-squares discriminant analysis identified 27 proteins that best predict GDM. The power law global error model corrected for multiple testing was used to confirm that 10 of the 27 proteins were also statistically significantly different between women with versus without GDM. The identified changes in protein expression suggest that diabetes mellitus during pregnancy has consequences on human colostral proteins involved in immunity and nutrition.

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Empirical protein–proteininteraction network for differentiallyexpressed colostral whey proteins between women with and without GDM.
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fig2: Empirical protein–proteininteraction network for differentiallyexpressed colostral whey proteins between women with and without GDM.

Mentions: The colostralwhey proteins selected by O-PLS-DA were used in a protein–proteininteraction network to identify direct empirical relationships (partialcorrelations, P ≤ 0.05) among all 27 proteins(Figure 2). Nineteen of the 27 proteins weredirectly correlated, of which 17 were positively and two were negativelyassociated with one another. Sixteen proteins were lower and threewere higher in colostral whey from women with GDM compared to womenwithout GDM (Figure 2 and Table 1, Supporting Information). Of the 19 associatedproteins, only seven were significantly different (PLGEM, P < 0.05) between colostral whey from women with versuswithout GDM (14–3–3 protein zeta/delta, alpha-2-HS-glycoprotein,apolipoprotein A1, apolipoprotein D, Ig heavy chain V–II regionARH-77, protein disulfide-isomerase, and protein FAM3D).


The human colostrum whey proteome is altered in gestational diabetes mellitus.

Grapov D, Lemay DG, Weber D, Phinney BS, Azulay Chertok IR, Gho DS, German JB, Smilowitz JT - J. Proteome Res. (2014)

Empirical protein–proteininteraction network for differentiallyexpressed colostral whey proteins between women with and without GDM.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4286167&req=5

fig2: Empirical protein–proteininteraction network for differentiallyexpressed colostral whey proteins between women with and without GDM.
Mentions: The colostralwhey proteins selected by O-PLS-DA were used in a protein–proteininteraction network to identify direct empirical relationships (partialcorrelations, P ≤ 0.05) among all 27 proteins(Figure 2). Nineteen of the 27 proteins weredirectly correlated, of which 17 were positively and two were negativelyassociated with one another. Sixteen proteins were lower and threewere higher in colostral whey from women with GDM compared to womenwithout GDM (Figure 2 and Table 1, Supporting Information). Of the 19 associatedproteins, only seven were significantly different (PLGEM, P < 0.05) between colostral whey from women with versuswithout GDM (14–3–3 protein zeta/delta, alpha-2-HS-glycoprotein,apolipoprotein A1, apolipoprotein D, Ig heavy chain V–II regionARH-77, protein disulfide-isomerase, and protein FAM3D).

Bottom Line: The objective of the current study was to examine the effect of GDM on the expression of proteins in the whey fraction of human colostrum.Orthogonal partial least-squares discriminant analysis identified 27 proteins that best predict GDM.The power law global error model corrected for multiple testing was used to confirm that 10 of the 27 proteins were also statistically significantly different between women with versus without GDM.

View Article: PubMed Central - PubMed

Affiliation: National Institute of Health West Coast Metabolomics Center, ‡Genome Center, §Genome Center Proteomics Core Facility, ⊥Department of Food Science and Technology, and ¶Foods for Health Institute, University of California Davis , Davis, California 95616, United States.

ABSTRACT
Proteomics of human milk has been used to identify the comprehensive cargo of proteins involved in immune and cellular function. Very little is known about the effects of gestational diabetes mellitus (GDM) on lactation and breast milk components. The objective of the current study was to examine the effect of GDM on the expression of proteins in the whey fraction of human colostrum. Colostrum was collected from women who were diagnosed with (n = 6) or without (n = 12) GDM at weeks 24-28 in pregnancy. Colostral whey was analyzed for protein abundances using high-resolution, high-mass accuracy liquid chromatography tandem mass spectrometry. A total of 601 proteins were identified, of which 260 were quantified using label free spectral counting. Orthogonal partial least-squares discriminant analysis identified 27 proteins that best predict GDM. The power law global error model corrected for multiple testing was used to confirm that 10 of the 27 proteins were also statistically significantly different between women with versus without GDM. The identified changes in protein expression suggest that diabetes mellitus during pregnancy has consequences on human colostral proteins involved in immunity and nutrition.

Show MeSH
Related in: MedlinePlus