# Cross-Cultural Nutritional Epigenomics: Diet and Microbiome Interactions Shaping Type 2 Diabetes in Arab and Western Populations

**Authors:** Tarek Arabi, Arshiya Akbar, Ahmed Yaqinuddin, Mohammed Imran Khan, Itika Arora

PMC · DOI: 10.3390/nu18040681 · Nutrients · 2026-02-20

## TL;DR

This review explores how diet and gut microbes influence type 2 diabetes in Arab and Western populations through epigenetic changes.

## Contribution

The paper highlights the need for culturally tailored precision medicine by integrating diet-microbiome-epigenome interactions in Arab populations.

## Key findings

- Arab diets historically rich in fiber differ from Western diets, affecting gut microbiome composition.
- Diet and microbial metabolites influence epigenetic markers linked to type 2 diabetes.
- Population-specific methylation signatures suggest the need for localized precision medicine approaches.

## Abstract

In the Middle East and North Africa (MENA) region, the prevalence of Type 2 Diabetes (T2D) is 17–18%, substantially higher than the ~9–10% reported in Western populations, with some Gulf states approaching 25% in adults. Historically, Arab diets, characterized by high fiber intake from whole grains, legumes, and fermented dairy products, have contrasted markedly with the Western dietary pattern increasingly prevalent among urbanized Arab populations. These nutritional shifts have been associated with changes in gut microbial composition, including lower representation of short-chain fatty acid–producing bacteria and higher abundance of dysbiosis-associated taxa. Concurrently, diet-derived compounds and microbial metabolites have been associated with changes in DNA methylation, histone modifications, and non-coding RNA expression. Epigenome-wide association studies revealed both shared and population-specific methylation signatures in patients with T2D. However, integrated multi-omics studies remain limited in Arab populations, where the disease burden is highest. This review integrates emerging evidence on diet-linked epigenetic alterations, microbiome-associated metabolic pathways, and their intersection in potentially contributing to T2D risk and progression. Given the heterogeneity of T2D across populations, there is a pressing need for culturally contextualized precision medicine frameworks that integrate population-specific diet–microbiome–epigenome dynamics rather than extrapolating findings across populations. Additionally, this review synthesizes evidence that dietary patterns are associated with T2D-relevant pathways through the diet–microbiome–epigenome axis, with emphasis on Arab/MENA populations and Western comparator cohorts.

## Linked entities

- **Diseases:** Type 2 Diabetes (MONDO:0005148), T2D (MONDO:0005148)

## Full-text entities

- **Genes:** MIR192 (microRNA 192) [NCBI Gene 406967] {aka MIRN192, miR-192, miRNA192}, DQX1 (DEAQ-box RNA dependent ATPase 1) [NCBI Gene 165545], TXNIP (thioredoxin interacting protein) [NCBI Gene 10628] {aka ARRDC6, EST01027, HHCPA78, THIF, VDUP1}, JPH3 (junctophilin 3) [NCBI Gene 57338] {aka CAGL237, HDL2, JP-3, JP3, TNRC22}, MTHFR (methylenetetrahydrofolate reductase) [NCBI Gene 4524], ABCG1 (ATP binding cassette subfamily G member 1) [NCBI Gene 9619] {aka ABC8, WHITE1}, IRS1 (insulin receptor substrate 1) [NCBI Gene 3667] {aka HIRS-1}, MIR182 (microRNA 182) [NCBI Gene 406958] {aka MIRN182, miRNA182, mir-182}, MIR126 (microRNA 126) [NCBI Gene 406913] {aka MIRN126, miRNA126, mir-126}, GPX6 (glutathione peroxidase 6) [NCBI Gene 257202] {aka GPX5p, GPXP3, GPx-6, GSHPx-6, dJ1186N24, dJ1186N24.1}, SOCS3 (suppressor of cytokine signaling 3) [NCBI Gene 9021] {aka ATOD4, CIS3, Cish3, SOCS-3, SSI-3, SSI3}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, ZNF2 (zinc finger protein 2) [NCBI Gene 7549] {aka A1-5, ZNF661, Zfp661}, MIR29A (microRNA 29a) [NCBI Gene 407021] {aka MIRN29, MIRN29A, hsa-mir-29, hsa-mir-29a, miRNA29A, mir-29a}, CPT1A (carnitine palmitoyltransferase 1A) [NCBI Gene 1374] {aka CPT I, CPT1, CPT1-L, CPTI-L, L-CPT1}, NR1I2 (nuclear receptor subfamily 1 group I member 2) [NCBI Gene 8856] {aka BXR, ONR1, PAR, PAR1, PAR2, PARq}, TMEM9B-AS1 (TMEM9B antisense RNA 1) [NCBI Gene 493900] {aka C11orf18}, HDAC9 (histone deacetylase 9) [NCBI Gene 9734] {aka HD7, HD7b, HD9, HDAC, HDAC7B, HDAC9B}, ADCY7 (adenylate cyclase 7) [NCBI Gene 113] {aka AC7}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, MIR200C (microRNA 200c) [NCBI Gene 406985] {aka MIRN200C, mir-200c}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, SNHG16 (small nucleolar RNA host gene 16) [NCBI Gene 100507246] {aka ELNAT1, Nbla10727, Nbla12061, ncRAN}, NT5C2 (5'-nucleotidase, cytosolic II) [NCBI Gene 22978] {aka GMP, NT5B, PNT5, SPG45, SPG65, cN-II}
- **Diseases:** adiposity (MESH:D018205), obesity (MESH:D009765), T2D (MESH:D003924), beta-cell dysfunction (MESH:D007340), metabolic disease (MESH:D008659), IGT (MESH:D018149), endotoxemia (MESH:D019446), hyperglycemia (MESH:D006943), metabolic syndrome (MESH:D024821), chronic inflammation (MESH:D007249), injury to (MESH:D014947), Disease (MESH:D004194), atherogenic (MESH:D050197), impaired glucose regulation (MESH:C565631), deaths (MESH:D003643), Diabetes (MESH:D003920), Dysbiosis (MESH:D064806), cardiovascular complications (MESH:D002318), impaired glucose metabolism (MESH:D044882), Insulin Resistance (MESH:D007333), Prediabetes (MESH:D011236), vascular dysfunction (MESH:D002561)
- **Chemicals:** metformin (MESH:D008687), prebiotics (MESH:D056692), Polyphenols (MESH:D059808), AGEs (MESH:D017127), fructose (MESH:D005632), polyamines (MESH:D011073), BPA (MESH:C006780), vitamin B12 (MESH:D014805), lipid (MESH:D008055), dietary advanced glycation end products (MESH:D000093362), LPS (MESH:D008070), Resveratrol (MESH:D000077185), BCAA (MESH:D000597), acetate (MESH:D000085), biotin (MESH:D001710), calcium (MESH:D002118), folate (MESH:D005492), trimethylamine (MESH:C023336), glycemia (MESH:D001786), SCFA (MESH:D005232), Glucose (MESH:D005947), bile acid (MESH:D001647), DCA (MESH:D003840), curcumin (MESH:D003474), olive oil (MESH:D000069463), laban (-), fat (MESH:D005223), betaine (MESH:D001622), phthalates (MESH:C032279), TMAO (MESH:C005855), sugar (MESH:D000073893), amino acid (MESH:D000596), homocysteine (MESH:D006710), urea (MESH:D014508), choline (MESH:D002794), butyrate (MESH:D002087), carbohydrate (MESH:D002241), fatty acid (MESH:D005227), carbon (MESH:D002244), LCA (MESH:D008095), propionate (MESH:D011422), simple sugars (MESH:D009005), paraben (MESH:D010226)
- **Species:** Absidia (genus) [taxon 4828], Curcuma longa (turmeric, species) [taxon 136217], Lens culinaris (lentil, species) [taxon 3864], Eubacterium limosum (species) [taxon 1736], gut metagenome (species) [taxon 749906], Akkermansia muciniphila (species) [taxon 239935], Roseburia intestinalis (species) [taxon 166486], Escherichia coli (E. coli, species) [taxon 562], Cicer arietinum (chickpea, species) [taxon 3827], Bacteroides (genus) [taxon 816], Prevotella (genus) [taxon 838], Faecalibacterium prausnitzii (species) [taxon 853], Homo sapiens (human, species) [taxon 9606], Lactobacillus (genus) [taxon 1578], Bifidobacterium (genus) [taxon 1678]
- **Mutations:** C677T

## Full text

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## References

147 references — full list in the complete paper: https://tomesphere.com/paper/PMC12943331/full.md

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Source: https://tomesphere.com/paper/PMC12943331