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. 2026 Jan 28;16:1736033. doi: 10.3389/fendo.2025.1736033

Figure 4.

Four scatter plots showing relationships between z-values and estimates. Each plot features data points labeled with identifiers, trend lines, and shaded confidence intervals. The plots vary in data distribution and trends, with z-values ranging from negative forty to five and estimates from negative three-tenths to one-tenth.

Panels (a–d) Linear regression between components of the methylation machinery and miRNAs. Using mirTarRnaSeq we predicted linear regression between miRNAs in the MEgreen+METurquoise modules (positively correlated with cbFFA) and components of the Epigenetic machinery contained in the MEgreen module (negatively correlated with cbFFA). All the miRNA-gene interactions reported have a p-value <0.05. Panel (A), upper left DNMT3A; Panel (B), upper right MBD4; Panel (C), lower left MTA3; Panel (D), lower right KDM6. Yellow: miR-6845 and -6825 previously identified in the screening for obesity in pediatric populations; Orange: miR-4632 and Dark Orange: miR-135b have been identified in experimental models of obesity [37]; Red: miR-196b, this miRNA is considered a master regulator of adipogenesis Azure: miR-23b. This gene is known to regulate KDM6 and it is overexpressed in obesity [40]; Dark Azure: miR-24, was overexpressed in livers of mice with high fat diet; Red: miR-196b, this miRNA is considered a master regulator of adipogenesis; Black: miR-32 was shown to be overexpressed in patients with hepatic steatosis.