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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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Related in: MedlinePlus

Scores plot displayingdiscrimination between women with and withoutGDM based on 27 selected colostral whey proteins using orthogonalsignal correction partial least-squares discriminant analysis. Edgewidth and color encode the magnitude and direction of partial correlations(P < 0.05) among all selected proteins based onO-PLS-DA. Vertex size and shape display the magnitude and directionof the fold-difference in protein expression in colostral whey fromwomen with GDM relative to women without GDM (mean GDM/mean non-GDM).Significantly differentially expressed proteins (Power Law GlobalError Model, Padj ≤ 0.05) are identifiedwith thick black borders.
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fig1: Scores plot displayingdiscrimination between women with and withoutGDM based on 27 selected colostral whey proteins using orthogonalsignal correction partial least-squares discriminant analysis. Edgewidth and color encode the magnitude and direction of partial correlations(P < 0.05) among all selected proteins based onO-PLS-DA. Vertex size and shape display the magnitude and directionof the fold-difference in protein expression in colostral whey fromwomen with GDM relative to women without GDM (mean GDM/mean non-GDM).Significantly differentially expressed proteins (Power Law GlobalError Model, Padj ≤ 0.05) are identifiedwith thick black borders.

Mentions: O-PLS-DA, a multivariate classification model, was used to identifythe top 10% (n = 27) of all protein discriminantsbetween women with and without GDM (Table 1, SupportingInformation). The limited study sample size precluded the useof a single hold-out test set for model validation, and instead, 100rounds of MCCV were used to generate robust model performance statistics(Table 2, Supporting Information). O-PLS-DAscores from a model based on the 27 selected variables demonstrateclear visual separation between the two phenotypes (Figure 1). Of these 27 proteins, three were correlated withmaternal prepregnancy BMI: alpha-2-HS-glycoprotein (Spearman’srho = −0.61, P < 0.01), complement C1rsubcomponent-like protein (Spearman’s rho = −0.49, P < 0.05), and transmembrane protein 201 (Spearman’srho = 0.48, P < 0.05).


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)

Scores plot displayingdiscrimination between women with and withoutGDM based on 27 selected colostral whey proteins using orthogonalsignal correction partial least-squares discriminant analysis. Edgewidth and color encode the magnitude and direction of partial correlations(P < 0.05) among all selected proteins based onO-PLS-DA. Vertex size and shape display the magnitude and directionof the fold-difference in protein expression in colostral whey fromwomen with GDM relative to women without GDM (mean GDM/mean non-GDM).Significantly differentially expressed proteins (Power Law GlobalError Model, Padj ≤ 0.05) are identifiedwith thick black borders.
© Copyright Policy
Related In: Results  -  Collection

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

fig1: Scores plot displayingdiscrimination between women with and withoutGDM based on 27 selected colostral whey proteins using orthogonalsignal correction partial least-squares discriminant analysis. Edgewidth and color encode the magnitude and direction of partial correlations(P < 0.05) among all selected proteins based onO-PLS-DA. Vertex size and shape display the magnitude and directionof the fold-difference in protein expression in colostral whey fromwomen with GDM relative to women without GDM (mean GDM/mean non-GDM).Significantly differentially expressed proteins (Power Law GlobalError Model, Padj ≤ 0.05) are identifiedwith thick black borders.
Mentions: O-PLS-DA, a multivariate classification model, was used to identifythe top 10% (n = 27) of all protein discriminantsbetween women with and without GDM (Table 1, SupportingInformation). The limited study sample size precluded the useof a single hold-out test set for model validation, and instead, 100rounds of MCCV were used to generate robust model performance statistics(Table 2, Supporting Information). O-PLS-DAscores from a model based on the 27 selected variables demonstrateclear visual separation between the two phenotypes (Figure 1). Of these 27 proteins, three were correlated withmaternal prepregnancy BMI: alpha-2-HS-glycoprotein (Spearman’srho = −0.61, P < 0.01), complement C1rsubcomponent-like protein (Spearman’s rho = −0.49, P < 0.05), and transmembrane protein 201 (Spearman’srho = 0.48, P < 0.05).

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