Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

Baseline characteristics of MECHE cohort (n = 100).

More »

Table 1 Expand

Table 2.

Pearson’s correlation of proteins with beta-cell function/HOMA-IR and the disposition index.

More »

Table 2 Expand

Table 3.

Protein concentrations across tertiles of beta-cell function measures.

More »

Table 3 Expand

Fig 1.

ROC curves for assessment of protein panel to discriminate between low and high disposition index measures.

ROC curves to determine the predictive ability of the protein panel (17 proteins associated with the disposition index (p ≤ 0.01)), age, BMI, waist to hip ratio and fasting glucose, for classification of low and high disposition index values of MECHE participants (n = 30). Par scaling was used as a scaling method and random forest method was employed for classification of variables. Using all 21 variables, the best ROC curve was produced with an AUC of 0.918. AUC: area under the curve. Var: variable. CI: Confidence interval. Tertile 1: low beta-cell function Tertile 3: high beta-cell function.

More »

Fig 1 Expand

Fig 2.

Features ranked by mean importance measure for the ROC curve analysis for beta-cell function/HOMA-IR.

Determination of the predictive ability of the protein panel (22 proteins associated with beta-cell function/HOMA-IR (p ≤ 0.01)), age, BMI, waist to hip ratio and fasting glucose, for discrimination between low and high beta-cell function/HOMA-IR values of MECHE participants (n = 30). Par scaling was used and random forest classification method was selected. Using all 26 variables, the best ROC curve was produced with an AUC of 0.913. AUC: area under the curve. 1: Tertile 1- low beta-cell function 3: Tertile 3- high beta-cell function. Green filled square: Low concentration/value Red filled square: High concentration/value Green filled square/ Red filled square: Positive association with beta-cell function/HOMA-IR Red filled square/Green filled Square: Inverse association with beta-cell function/HOMA-IR.

More »

Fig 2 Expand

Table 4.

Pathways significantly related to beta-cell function measures.

More »

Table 4 Expand

Fig 3.

Network displaying proteins significantly associated with beta-cell function/HOMA-IR and their direct interactions.

The nodes represent proteins and the edges represent protein-protein interactions. Proteins significantly related to beta-cell function/HOMA-IR are in blue (p ≤ 0.01) and grey nodes are their direct interactions. 17/22 proteins significantly associated with beta-cell function/HOMA-IR have direct interactions.

More »

Fig 3 Expand

Fig 4.

Network displaying proteins significantly associated with the disposition index and their direct interactions.

The nodes represent proteins and the edges represent protein-protein interactions. Proteins significantly related with the disposition index are in blue (p ≤ 0.01) and grey nodes are their direct interactions. 13/17 proteins significantly associated with the disposition index have direct interactions.

More »

Fig 4 Expand

Fig 5.

The effect of 20 h treatment with IL-17F on insulin secretion in BRIN-BD11 cell line.

Values are mean ± standard deviation (n = 4). *p < 0.05. ANOVA was applied across groups with post-hoc Bonferroni test for comparison of treatments (10, 20 and 50 ng/mL IL-17F) with 16.7mM glucose (control). Cells were incubated for 20 h with 10, 20 and 50 ng/mL IL-17F, and stimulated with 16.7 mM glucose to determine insulin secretion. Overall p = 0.000041. *p = 0.043 where treatment with 10 ng/mL IL-17F is significantly increased in comparison to control of 16.7mM glucose.

More »

Fig 5 Expand