Bioinformatics analysis of the molecular mechanism of obesity in polycystic ovary syndrome

Figures

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  Figure 1. The analytic workflow of the present study.

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  Figure 2. The DEGs between obesity PCOS cases and age & BMI matched healthy controls. (A) The Venn diagram of common genes between GSE5090 and GSE84958. (B) The expression heatmap of the detected DGEs in dataset GSE43264. (C) The expression pattern of the 8 significantly differentially expressed genes.

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  Figure 3. The DGEs special for obesity in PCOS. (A) The expression pattern of the 8 detected DGEs in GSE98421. (B) The expression of the gene CHRDL1 was found to be in linear regression with the BMI index in PCOS patients (p = 0.0358, Y = 6.460*X - 17.51). (C) The expression of CHRDL 1 was significantly higher in obesity PCOS cases than the BMI matched healthy controls (p = 0.0415). (D) There was no statistical difference of CHRDL1 expression between the obesity and normal cases.

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  Figure 4. Associations between genome-wide expression profiles and CHRDL1 expression. (A) The Volcano plots of the gene expression when divided the PCOS cases into two groups according to the CHRDL1 expression. (B) The heatmap of the DEGs. (C) The KEGG Pathway enrichment analysis of the DEGs.

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  Figure 5. The potential function of CHRDL1 is predicted by the PPI network. (A) The PPI network of DEGs. (B) The proteins associated with CHRDL1 by physical interaction, co-expression, predicted, co-localization, pathway, genetic interactions, and shared protein domains methods.