Functional Foods as Modulators of Epigenetic Mechanisms Affecting Metabolic Health in Adolescence
Abstract
1. Introduction
2. Metabolic Diseases in Adolescents During Puberty
2.1. Epidemiology and Core Determinants of Metabolic Syndrome in Young People
2.2. Obesity, Epigenetic Programming, and Metabolic Comorbidities
2.3. Epigenetic Transmission of Obesity Risk Across Generations
2.4. Ethnic Variation in LEP, LEPR and POMC Regulation and Its Relevance for Adolescents
2.5. Diet, Inflammation and Long-Term Cardiometabolic Risk
3. Global Dietary Shifts and Epigenetic Vulnerability in Youth
4. Epigenetic Plasticity During Adolescence: A Critical Window for Nutritional Programming
4.1. Epigenetic Mechanisms in the Context of Adolescent Plasticity
4.2. Epigenetic Regulation of Metabolism During Adolescence
4.3. DNA Methylation as a Central Epigenetic Mechanism
4.4. Role of MicroRNAs in Epigenetic Regulation
4.5. Histone Modifications and Chromatin Remodelling
5. Functional Foods as Epigenetic Modulators During Adolescence: Molecular Pathways, Metabolic Implications and Developmental Vulnerabilities
5.1. Endocrine–Neurobiological Vulnerability of Adolescence
5.2. Adipose Tissue as an Endocrine and Epigenetically Responsive Organ and Implications for Adolescent Metabolic Health
5.3. Adipokines and Epigenetically Regulated Signalling Pathways
5.4. Fatty Acids as Epigenetic Regulators of Metabolic Pathways
5.5. Polyphenols as Multifunctional Epigenetic Modulators
5.6. Diet–Microbiota–Epigenome Interactions
6. Developmental and Environmental Modifiers of Epigenetic Metabolism
6.1. Limitations
6.2. Future Research
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Metabolic Disorder/Country | Prevalence/Indicator | Population/Age | Clinical Components | Source |
|---|---|---|---|---|
| Metabolic syndrome (India) | 24% | Adolescents, 10–19 years | ≥3 risk factors: obesity, dyslipidemia, hypertension, impaired glucose metabolism | [54] |
| Metabolic syndrome (Saudi Arabia) | 7% overall; 30% in adolescents with BMI ≥ 95th percentile | Girls, 12–19 years | ≥3 abnormal metabolic parameters | [55] |
| Insulin resistance (Turkey) | 70.5% | Obese children and adolescents, 6–18 years | Elevated HOMA-IR; more common after puberty | [56] |
| Impaired glucose tolerance (Poland) | ~16% among obese children | ~10 years (exact range not reported) | Abnormal post-OGTT glucose response | [57] |
| Impaired fasting glucose (Poland) | ~2.8% among obese children | ~10 years (exact range not reported) | IFG diagnosed by OGTT criteria | [57] |
| Type 2 diabetes (Poland) | ~3.45% among obese children | ~10 years (exact range not reported) | T2DM diagnosed by OGTT | [57] |
| Type 2 diabetes—offspring of diabetic mothers (Denmark) | 206 participants | Men, 30–31 years; O-GDM (n = 18), O-T1DM (n = 18), O-BP controls (n = 16) | Adipocyte hypertrophy (O-GDM); ↓ LEP promoter methylation, ↑ LEP expression and leptin secretion (O-GDM, O-T1DM); oxidative defects; ↑ lipolysis; ↓ fat-storage capacity | [58] |
| Obesity | 234 participants; 15% with history of maltreatment | Children, 8–15 years | Increased BMI | [59] |
| NAFLD (Australia) | 14.5% overall (17.4% girls; 11.8% boys) | Adolescents, 17 years (17.03 ± 0.26) | ↑ BMI, ↑WC, ↑ leptin, ↑ HOMA-IR, ↑ fasting insulin, ↑ hsCRP, altered adiponectin, ↑ ALT, ↑ GGT | [21] |
| Disease/ Disorder | Prevalence (12–19 Years) | Nutritional and Environmental Factors | Epigenetic Mechanisms | Clinical Consequences | References |
|---|---|---|---|---|---|
| Obesity | 20–22% of adolescents | Excess caloric intake, ultra-processed foods, sugar-sweetened beverages, physical inactivity | Hypermethylation of PPARγ, LEP, and ADIPOQ genes → impaired adipogenesis and appetite regulation | Insulin resistance, dyslipidemia, hypertension | [48,67] |
| Extreme obesity (BMI ≥ 160% of the 95th percentile) | 1.13% (increase from 0.32% in 2008) | High intake of simple sugars and saturated fats | Persistent DNA methylation changes in HPA-axis and FTO genes; dysregulation of microRNAs (miR-122, miR-33) | NAFLD, prediabetes, metabolic syndrome | [67] |
| Metabolic syndrome (MetS) | 3.3% overall; 29.2% among adolescents with obesity | High intake of trans fats, low dietary fiber, excess sodium | Altered methylation of INSR, IRS1; expression of miR-375 affecting insulin secretion | Dyslipidemia, hypertension, insulin resistance | [36,67] |
| Type 2 diabetes (T2DM) | 0.46% in adolescents; increasing trend | Chronic hyperglycemia, high-fat diet | Epigenetic activation of TXNIP and methylation of Pdx1, leading to β-cell dysfunction | Nephropathy, retinopathy, cardiovascular disease | [68,69] |
| Non-alcoholic fatty liver disease (NAFLD) | 10–20% of adolescents | Excess fructose intake, saturated fats, visceral obesity | Dysregulation of miR-34a and miR-122 → enhanced lipogenesis and hepatic inflammation | Fibrosis, steatohepatitis, risk of hepatocellular carcinoma | [70] |
| Dyslipidemia | 13–15% of adolescents with obesity | High intake of trans fats and cholesterol | Methylation of APOA5, LPL, and CETP modulating lipid profile | Atherosclerosis and cardiovascular disease | [68,71] |
| Models | Bioactive Compound/Source | Epigenetic Mechanism | Epigenetically Mediated Biological Effects | References |
|---|---|---|---|---|
| In vitro (colon cancer cells) | Resveratrol | ↑ H3K9/K14 acetylation at p53, PTEN | Activation of tumor-suppressor genes | [178,179] |
| In vitro (3T3-L1 adipocytes) | Resveratrol | Sirtuin activation → histone deacetylation | Modulation of metabolic gene expression | [180] |
| In vivo + in vitro | Gallic acid, sulforaphane, HDAC inhibitors | HDAC inhibition (class IIa, HDAC8) | Lower blood pressure; reduced HDAC activity | [181] |
| In vitro (intestinal cells/macrophages) | Polyphenols | DNMT/HDAC modulation | Reduced inflammation; altered metabolic genes | [182] |
| In vivo (ZF rats) | Dietary polyphenols | DNA methylation changes | Better glucose tolerance; lower lipids level | [183] |
| In vivo (metabolic models) | High-fiber, polyphenol-rich diet → SCFA | HDAC inhibition by SCFA | Improved glucose homeostasis; ↓ inflammation | [184] |
| In vitro (rat calvaria cells) | Buffalo casein peptides | Upregulation of osteogenic genes | ↑ ALP, OCN, COL-1; ↑ mineralization | [185] |
| In vitro + in vivo (HFD mice, IF) | dietary pattern/strategy | Activation of p53 transcriptional pathway | ↑ apoptotic/inflammatory gene expression | [186] |
| In vitro (human adipocytes) | EGCG | Likely histone/DNMT modulation | ↓ oxidative stress; metabolic effects | [187] |
| In vivo (humans with obesity/IR) | Polyphenol- and fiber-rich diet | CpG/histone modification changes | Weight loss; improved glucose markers | [188] |
| In vivo (hens exposed to CORT) | Betaine | DNA methylation of HMGCR, CYP7A1 | Normalized cholesterol metabolism | [189] |
| Animal + human models | High-fiber diet → SCFA | SCFA modulation of DNMT/HDAC, miRNA | Better glucose control; ↓ inflammation | [190] |
| Epigenetic Mechanism | Enzyme/ Molecular Pathway | Bioactive Compound/Source | Epigenetic Biological Effect | Metabolic Effect | References |
|---|---|---|---|---|---|
| DNA methylation | DNMT1, DNMT3A/B (DNA methyltransferases) | EGCG (green tea), folates (leafy greens) | DNMT inhibition → demethylation of PGC1A and SIRT1 promoters | Increase glucose uptake, improved lipid metabolism | [20,141,294] |
| DNA methylation (methyl-donor pathway) | One-carbon metabolism (MTHFR, MAT, SAM/SAH cycle) | Folates, vitamin B12, betaine, choline | Increased methyl-group availability → stable DNA methylation | Regulation of genes involved in lipid and glucose metabolism | [123] |
| Histone acetylation/deacetylation | HAT, HDAC | Curcumin (turmeric), resveratrol (grapes), butyrate (SCFA) | HDAC inhibition → increased H3K9 and H4K12 acetylation → activation of antioxidant genes (NRF2, PGC1A) | Reduced oxidative stress and inflammation | [184,295,296] |
| Histone modifications (methylation/demethylation) | HMT (histone methyltransferases), HDM (histone demethylases) | Sulforaphane (broccoli), catechins | Altered H3K27 and H3K4 methylation → modulation of inflammatory gene expression (TNFα, IL-6) | Decreased inflammation and oxidative stress | [123,297] |
| microRNA regulation | miR-21, miR-122, miR-33, miR-34a | Polyphenols (green tea, berries), omega-3 fatty acids | Upregulation of anti-inflammatory microRNAs (e.g., miR-126); suppression of pro-inflammatory microRNAs | Lower CRP levels, improved lipid profile | [141,298] |
| Effects of SCFA (fiber fermentation) | HDAC, HAT | Butyrate, propionate (fiber fermentation products) | Butyrate as HDAC inhibitor → activation of genes regulating lipid and glucose metabolism | Increased insulin sensitivity, improved gut microbiota | [224,299] |
| Microbiome-epigenome interactions | SCFA, bacterial methyltransferases | Dietary fiber, probiotics, prebiotics | SCFA and microbial methyl-donor production → indirect modulation of host epigenome | Improved metabolic and immune profile | [300,301] |
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Kurhaluk, N.; Kołodziejska, R.; Mazur, Z.; Lukash, O.; Yakovenko, O.; Tkaczenko, H. Functional Foods as Modulators of Epigenetic Mechanisms Affecting Metabolic Health in Adolescence. Int. J. Mol. Sci. 2026, 27, 2066. https://doi.org/10.3390/ijms27042066
Kurhaluk N, Kołodziejska R, Mazur Z, Lukash O, Yakovenko O, Tkaczenko H. Functional Foods as Modulators of Epigenetic Mechanisms Affecting Metabolic Health in Adolescence. International Journal of Molecular Sciences. 2026; 27(4):2066. https://doi.org/10.3390/ijms27042066
Chicago/Turabian StyleKurhaluk, Natalia, Renata Kołodziejska, Zbigniew Mazur, Oleksandr Lukash, Oleksandr Yakovenko, and Halina Tkaczenko. 2026. "Functional Foods as Modulators of Epigenetic Mechanisms Affecting Metabolic Health in Adolescence" International Journal of Molecular Sciences 27, no. 4: 2066. https://doi.org/10.3390/ijms27042066
APA StyleKurhaluk, N., Kołodziejska, R., Mazur, Z., Lukash, O., Yakovenko, O., & Tkaczenko, H. (2026). Functional Foods as Modulators of Epigenetic Mechanisms Affecting Metabolic Health in Adolescence. International Journal of Molecular Sciences, 27(4), 2066. https://doi.org/10.3390/ijms27042066

