Dataset Information

Epigenetic mediators of diet and lifestyle and insulin resistance.

ABSTRACT:

Background

Implementing personalized dietary interventions has become important as emerging evidence indicates that dietary and lifestyle-dependent epigenetic modifications affect insulin resistance.

Methods

An epigenome-wide association study (EWAS) was conducted on 1,684 non-diabetic adults aged 57-75 from the Framingham Offspring Study (FOS). Associations between dietary and lifestyle factors (assessed via food frequency questionnaire) and DNA methylation sites (DNA-MS) were analyzed, with adjustments for confounders (age, sex, lifestyle) and multiple testing. Significant epigenetic mediators were evaluated using causal mediation models. Validation was executed using the Genetics of Lipid-Lowering Drugs and Diet Network Study (n = 945).

Results

The EWAS identified 35 DNA-MS linked to HOMA-IR, with 13 DNA-MS showing significant associations with dietary factors in the FOS. Key DNA-MS including cg17901584 (DHCR24), influenced by brown rice (natural indirect effect: β ± SE, -0.02 ± 0.01, p = 0.0003), cg22761431 (EFNB3) by wheat germ (-0.01 ± 0.003, p = 0.001), and cg00574958 (CPT1A) associated with lactose (-0.001 ± 0.0003, p = 0.0001) intakes, all correlated with decreased HOMA-IR. Other DNA-MS, cg06808571 (KCNH2), cg06690548 (SLC7A11), and intergenic cg07504977, mediated increases in HOMA-IR linked to intakes of low-calorie cola (0.003 ± 0.001, p = 0.001), alcohol (0.01 ± 0.001, p = 9.0E-11), and palmitoleic acid (0.03 ± 0.01, p = 9.0E-05), respectively. In the GOLDN study, alcohol intake mediated by cg06690548 methylation in SLC7A11 was positively associated with HOMA-IR. Notably, the DHCR24 gene, crucial for cholesterol biosynthesis, was highlighted as a potential dietary target for reducing metabolic risk.

Conclusion

The identification of specific DNA methylation sites, such as those in DHCR24 and EFNB3, provides supportive evidence for the mechanistic basis of known dietary effects on metabolic health. These findings not only reinforce the importance of diet in managing insulin resistance but also open avenues for personalized dietary interventions tailored to an individual's epigenetic profile.

SUBMITTER: Akinlawon OJ

PROVIDER: S-EPMC12914899 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature

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Publications

Epigenetic mediators of diet and lifestyle and insulin resistance.

Akinlawon Oladimeji J OJ Parnell Laurence D LD Liu Fang F Arnett Donna K DK Ordovas Jose M JM Lai Chao-Qiang CQ

Genes & nutrition 20260124 1

<h4>Background</h4>Implementing personalized dietary interventions has become important as emerging evidence indicates that dietary and lifestyle-dependent epigenetic modifications affect insulin resistance.<h4>Methods</h4>An epigenome-wide association study (EWAS) was conducted on 1,684 non-diabetic adults aged 57-75 from the Framingham Offspring Study (FOS). Associations between dietary and lifestyle factors (assessed via food frequency questionnaire) and DNA methylation sites (DNA-MS) were an ...[more]

PMID: 41580603

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Project description:Recent discovery reveals HFD insult can cause insulin resistance very rapidly, but the underlying mechanism is still not well understood. We performed a short term experiment in a Diet Induced Insulin resistance mouse model. Objective: Insulin resistance (IR) is one of the earliest predictors of type 2 diabetes. However, diagnosis of IR is limited. High fat fed mouse models provide key insights into IR. We hypothesized that early features of IR are associated with persistent changes in gene expression (GE) and endeavoured to (a) develop novel methods for improving signal:noise in analysis of human GE using mouse models; (b) identify a GE motif that accurately diagnoses IR in humans; and (c) identify novel biology associated with IR in humans. Methods: We integrated human muscle GE data with longitudinal mouse GE data and developed an unbiased three-level cross-species analysis platform (single-gene, gene-set and networks) to generate a gene expression motif (GEM) indicative of IR. A logistic regression classification model validated GEM in 3 independent human datasets (n =115). Results: This GEM of 93 genes substantially improved diagnosis of IR compared to routine clinical measures across multiple independent datasets. Individuals misclassified by GEM possessed other metabolic features raising the possibility that they represent a separate metabolic subclass. The GEM was enriched in pathways previously implicated in insulin action and revealed novel associations between Î²-catenin and Jak1 and IR. Functional analyses using small molecule inhibitors showed an important role for these proteins in insulin action. Conclusions: This study shows that systems approaches for identifying molecular signatures provides a powerful way to stratify individuals into discrete metabolic groups. Moreover, we speculate that the Î²-catenin pathway may represent a novel biomarker for IR in humans that warrant future investigation. Comparison of gene expression in muscle tissue during High Fat Diet (HFD) time course (day 5 and day 42). Chow diet will serve as control for HFD. 4 samples per group serve as experimental replicates.

Dataset Information

Epigenetic mediators of diet and lifestyle and insulin resistance.

Background

Methods

Results

Conclusion

Publications

Epigenetic mediators of diet and lifestyle and insulin resistance.

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