An industrialized diet as a determinant of methylation in the 1F region of the NR3C1 gene promoter.

Background: Dietary composition can modify gene expression, favoring the development of chronic diseases via epigenetic mechanisms. Objective: Our study aimed to investigate the relationship between dietary patterns and NR3C1 gene methylation in users of the Brazilian Public Unified Health System (SUS). Methods: We recruited 250 adult volunteers and evaluated their socioeconomic status, psychosocial characteristics, lifestyle, and anthropometrics. Peripheral blood was collected and evaluated for cortisol levels, glycemia, lipid profile, and insulin resistance; methylation of CpGs 40-47 of the 1F region of the NR3C1 gene was also measured. Factors associated with degree of methylation were evaluated using generalized linear models (p < 0.05). Lifestyle variables and health variables were included as confounding factors. Results: The findings of our cross-sectional study indicated an association between NR3C1 DNA methylation and intake of processed foods. We also observed relevant associations of average NR3C1 DNA across the segment analyzed, methylation in component 1 (40-43), and methylation in component 2 (44-47) with a pattern of consumption of industrialized products in relation to BMI, serum cortisol levels, and lipid profile. These results may indicate a relationship between methylation and metabolic changes related to the stress response. Conclusion: These findings suggest an association of methylation and metabolic alterations with stress response. In addition, the present study highlights the significant role of diet quality as a stress-inducing factor that influences NR3C1 methylation. This relationship is further linked to changes in psychosocial factors, lifestyle choices, and cardiometabolic variables, including glucose levels, insulin resistance, and hyperlipidemia.

Tobacco use modify exon IV BDNF gene methylation levels in depression.

This study aimed to investigate BDNF gene methylation in individuals with depression based on tobacco use. Therefore, 384 adults from southeastern Brazil were recruited to assess depression, socioeconomic status, lifestyle, and methylation by pyrosequencing exon IV promoter region of the BDNF gene. The Generalized Linear Model (GzLM) was used to check the effect of depression, tobacco, and the interaction between depression and tobacco use in methylation levels. In addition, the Kruskal-Wallis test, followed by Dunn's post hoc test, was used to compare methylation levels. Interaction between depression and tobacco use was significant at levels of BDNF methylation in the CpG 5 (p = 0.045), 8 (p = 0.016), 9 (p = 0.042), 10 (p = 0.026) and mean 5-11 (p < 0.001). Dunn's post hoc test showed that individuals with depression and tobacco use compared to those with or without depression who did not use tobacco had lower levels of BDNF methylation in CpG 5, 6, 7, 8, 9, 11, and mean 5-11. Therefore, we suggest that tobacco use appears to interfere with BDNF gene methylation in depressed individuals.

Lifestyle and NR3C1 exon 1F gene methylation is associated with changes in glucose levels and insulin resistance.

AIMS: the present study aimed to investigate how glucose and insulin levels may be associated with changes in NR3C1 gene methylation levels in adults. MAIN METHODS: 375 volunteers users of the Brazilian Public Unified Health System (SUS) were recruited to assess socioeconomic status, lifestyle, anthropometric data, blood glucose and serum cortisol levels, insulin resistance, and NR3C1 gene methylation assessment. Factors associated with glucose levels and insulin resistance were investigated using multivariate analysis GLzM at 5% significance (p<0.05). KEY FINDINGS: our results verified that glucose levels and insulin resistance were directly related to NR3C1 gene methylation and age, while not being overweight and obese and no tobacco consumption were indirectly related to glucose levels and insulin resistance. SIGNIFICANCE: habits and lifestyle may influence NR3C1 gene regulation, revealing the complexity of environmental impacts on NR3C1 methylation. Furthermore, associated risk factors must be taken into account in epigenetic studies as they directly interfere with blood glucose levels and insulin resistance.