# Dietary advanced glycation end products (AGEs) and type 2 diabetes (T2D): a case-control study

**Authors:** Saud Salman Alharbi, Iman M. Mirza, Wala Ibrahim Alzahrani, Seham O. Alsulami, Salman Hamdan Alsaqri, Sultan Mohammed Alanazi, Gaber Mohamed Gomaa Shehab

PMC · DOI: 10.3389/fnut.2026.1737974 · Frontiers in Nutrition · 2026-02-04

## TL;DR

This study found that higher intake of dietary AGEs is linked to increased odds of developing type 2 diabetes, especially in overweight individuals.

## Contribution

The study provides empirical evidence of a strong association between dietary AGEs and type 2 diabetes risk in a case-control design.

## Key findings

- Individuals with T2D had significantly higher median dietary AGE intake scores than controls.
- Higher dietary AGE intake remained independently associated with increased odds of T2D.
- The association was stronger among individuals with overweight or obesity.

## Abstract

Advanced glycation end products (AGEs), which are formed through non-enzymatic reactions between sugars and proteins or lipids, are abundant in diets high in processed foods and those cooked at high temperatures. Growing evidence suggests that dietary AGEs may contribute to oxidative stress, inflammation, and insulin resistance, thereby influencing the development of type 2 diabetes (T2D). This study aimed to investigate the association between dietary AGE intake and the risk of developing T2D in adults.

This case-control study included 225 adults recently diagnosed with type 2 diabetes and 450 healthy controls (18–60 years) recruited from Tabuk University Hospital. Dietary advanced glycation end product (AGE) intake was estimated using a proprietary scoring method based on the AGE content (kU/100 g) of 108 food items listed in a validated food frequency questionnaire (FFQ). Logistic regression models, adjusted for potential confounders, were applied to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for type 2 diabetes across tertiles of dietary AGE intake.

Among 675 participants (53% male; mean age = 38.13 ± 8.85 years; mean BMI = 26.85 ± 4.31 kg/m2), individuals with T2D had significantly higher median dietary AGE intake scores than controls (4,186 vs. 2,798 kU/100 g, P < 0.001). In fully adjusted logistic regression models, higher dietary AGE intake remained independently associated with increased odds of T2D. Compared with the lowest tertile, the highest tertile of AGE intake showed an adjusted odds ratio (OR) = 2.16 (95% CI: 1.06–4.09; P for trend < 0.001). In sensitivity analyses that included additional adjustment for key dietary components and modeled AGEs as a log-transformed continuous variable, each one–standard deviation increase in Ln(AGEs) was associated with a 42% higher odds of T2D (OR = 1.42; 95% CI: 1.04–1.95; P = 0.015). Stratified analyses indicated that this association was stronger and statistically significant primarily among individuals with overweight or obesity (BMI ≥25 kg/m2).

The findings indicate that higher dietary intake of AGEs is strongly associated with increased odds of type 2 diabetes, independent of major confounders. These results support growing evidence that diets rich in processed and high-heat–cooked foods contribute to metabolic disturbances and highlight the potential benefits of reducing AGE intake as part of diabetes prevention strategies. Further prospective and interventional studies are needed to confirm these findings and clarify the causal mechanisms involved.

## Linked entities

- **Diseases:** type 2 diabetes (MONDO:0005148), T2D (MONDO:0005148)

## Full-text entities

- **Genes:** IRS1 (insulin receptor substrate 1) [NCBI Gene 3667] {aka HIRS-1}, INSR (insulin receptor) [NCBI Gene 3643] {aka CD220, HHF5}, RENBP (renin binding protein) [NCBI Gene 5973] {aka RBP, RNBP}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, SLC2A4 (solute carrier family 2 member 4) [NCBI Gene 6517] {aka GLUT4}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, AGER (advanced glycosylation end-product specific receptor) [NCBI Gene 177] {aka RAGE, SCARJ1, sRAGE}, GLO1 (glyoxalase I) [NCBI Gene 2739] {aka GLOD1, GLYI, HEL-S-74}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** metabolic disease (MESH:D008659), glucose (MESH:D018149), metabolic dysregulation (MESH:D021081), overweight (MESH:D050177), renal function (MESH:D058186), hepatic oxidative injury (MESH:D056486), pancreatic islet dysfunction (MESH:D007516), adiposity (MESH:D018205), Obesity (MESH:D009765), kidney disease (MESH:D007674), impaired glycemic control (MESH:D007174), type 1 or gestational diabetes (MESH:D016640), T2D (MESH:D003924), insulin resistance (MESH:D007333), weight loss (MESH:D015431), diabetes (MESH:D003920), endothelial dysfunction (MESH:D014652), cardiovascular diseases (MESH:D002318), mitochondrial dysfunction (MESH:D028361), hypertension (MESH:D006973), hyperglycemic (MESH:D006944), metabolic disturbances (MESH:D024821), inflammation (MESH:D007249)
- **Chemicals:** ROS (MESH:D017382), blood sugar (MESH:D001786), glucose (MESH:D005947), CML (MESH:C048496), Dietary advanced glycation end products (MESH:D000093362), lipid (MESH:D008055), AGE (MESH:D017127), carbohydrate (MESH:D002241), sugars (MESH:D000073893), PG (-)
- **Species:** Homo sapiens (human, species) [taxon 9606], Rodentia (rodent, order) [taxon 9989]

## Full text

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## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC12913160/full.md

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Source: https://tomesphere.com/paper/PMC12913160