Replication of Integrative Data Analysis for Adipose Tissue Dysfunction, Low-Grade Inflammation, Postprandial Responses and OMICs Signatures in Symptom-Free Adults

Figures

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  Figure 1. Number of cardiometabolic risk phenotypes among our symptom-free participants (N = 124) stratified by a very high ALR (9.5, N = 41), high ALR (4.0, N = 43) and low ALR (0.6, N = 40).

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  Figure 2. Heat maps with differences in lipidomics signatures for Time 180′ (peak of postprandial response) after a mixed meal among participants with (H) vs. (L)ALR.

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  Figure 3. Volcano plot with differences in lipidomic signatures for Time 180′ (peak of postprandial response) after a mixed meal among participants with (H) vs. (L)ALR. Individual lipid classes and species are shown in boxes (right).

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  Figure 4. Heat maps with differences in miRNA signatures for Time 180′ (peak of postprandial response) after a mixed meal among participants with (H) vs. (L)ALR.

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  Figure 5. Volcano plot with differences in miRNA signatures for Time 180′ (peak of postprandial response) after a mixed meal among participants with (H) vs. (L)ALR.

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  Figure 6. Twenty logarithmic fold change (FC) > 2 and significant p-values for skeletal muscle (SKM) differentially expressed genes (DEGs). Volcano plot of FC differences of SKM RNA expression between RG and CG. The vertical lines correspond to FC > 2.

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  Figure 7. Heat map with differences in gene expression from SKM signatures from the 20 genes identified as shown in Figure 6. Gene CCT6A shows “hot red” values perhaps indicating higher activity in several fetal and adult pathways and, interestingly, from the immune systems through B cells, CDK4, CDK8, monocytes and NK cells.

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  Figure 8. Graphical representation of enrichment analysis and interaction networks obtained through the FunRich database analysis tool for gene annotation pertaining to transcript expression associations in SKM tissue.

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  Figure 9. Twenty logarithmic fold change (FC) > 2 and significant p-values for adipose tissue (AT) differentially expressed genes (DEGs). Volcano plot of FC differences of AT RNA expression between RG and CG. The vertical lines correspond to FC > 2.

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  Figure 10. Heat map with differences in gene expression from adipose tissue signatures from the 20 genes identified as shown in Figure 9. Gene MCM4 shows “hot red” values perhaps indicating higher activity in several fetal pathways and, interestingly, from the immune systems through B cells, CDK4, CDK8, monocytes and NK cells.

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  Figure 11. Graphical representation of enrichment analysis and interaction networks obtained through the FunRich database analysis tool for gene annotation pertaining to transcript expression associations in adipose tissue.