ArticleThe American journal of clinical nutrition2020
The association between dietary and skin advanced glycation end products: the Rotterdam Study.
Article in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Investigating the Role of Skin Autofluorescence in Gestational Diabetes Mellitus: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Trial
- Skin advanced glycation end-products do not predict pulmonary function trajectories in adults from the ILERVAS cohort.Scientific reports · 2026Article
- The relationship between ultra-processed food consumption and advanced glycation end products in university students: evidence from the skin autofluorescence method.BMC nutrition · 2025Article
- Dietary patterns of Filipino older adults and associated factors: analysis of the 2013 National nutrition survey and 2018-2019 expanded National nutrition survey.BMC geriatrics · 2025Article
- New Insights Into Advanced Glycation End Products Induced Melanogenesis and Intervention Strategies.Journal of cosmetic dermatology · 2025Article
- Association of acrylamide dietary intake with glycation and oxidative status biomarkers and intakes of advanced glycation end-products or alpha-dicarbonyls.Scientific reports · 2025Article
- Dietary advanced glycation end products intake, genetic predisposition and risk of coronary heart disease: a prospective study.European journal of nutrition · 2025Article
- Reference Values of Skin Autofluorescence by Age Groups in Healthy Spanish Adults: Results from the EVasCu Study, a Systematic Review, and a Meta-Analysis.Journal of clinical medicine · 2025Review
- Interplay between MAPK signaling pathway and autophagy in skin aging: mechanistic insights and therapeutic implications.Frontiers in cell and developmental biology · 2025Review
- Association between glycated hemoglobin and biomechanical properties of the skin with type 2 diabetes by using an electro-mechanical skin device.Frontiers in endocrinology · 2025Article
- Associations between Skin Autofluorescence Levels with Cardiovascular Risk and Diabetes Complications in Patients with Type 2 Diabetes.Biomedicines · 2024Article
- The AGE-RAGE axis associates with chronic pulmonary diseases and smoking in the Rotterdam study.Respiratory research · 2024Article
- Article
- A Role for Advanced Glycation End Products in Molecular Ageing.International journal of molecular sciences · 2023Review
- Advanced Glycation End Products (AGEs) in Diet and Skin in Relation to Stool Microbiota: The Rotterdam Study.Nutrients · 2023Article
- Skin Ageing: A Progressive, Multi-Factorial Condition Demanding an Integrated, Multilayer-Targeted Remedy.Clinical, cosmetic and investigational dermatology · 2023Review
- Review
- Habitual intake of dietary advanced glycation end products is not associated with generalized microvascular function-the Maastricht Study.The American journal of clinical nutrition · 2022Observational
- Advanced Glycation End Products in the Skin: Molecular Mechanisms, Methods of Measurement, and Inhibitory Pathways.Frontiers in medicine · 2022Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvanced glycation end products (AGEs) accumulate in tissues with age and in conditions such as diabetes mellitus and chronic kidney disease (CKD), and they may be involved in age-related diseases. Skin AGEs measured as skin autofluorescence (SAF) are a noninvasive reflection of long-term AGE accumulation in tissues. Whether AGEs present in the diet (dAGEs) contribute to tissue AGEs is unclear.
objectivesOur aim was to investigate the association between dietary and skin AGEs in the Rotterdam Study, a population-based cohort of mainly European ancestry.
methodsIn 2515 participants, intake of 3 dAGEs [carboxymethyl-lysine (CML), N-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MGH1), and carboxyethyl-lysine (CEL)] was estimated using FFQs and the content of AGEs measured in commonly consumed foods. SAF was measured 5 y (median value) later using an AGE Reader. The association of dAGEs with SAF was analyzed in linear regression models and stratified for diabetes and chronic kidney disease (CKD, defined as estimated glomerular filtration rate ≤60 mL/min) status.
resultsMean ± SD intake was 3.40 ±0.89 mg/d for CML, 28.98 ±7.87 mg/d for MGH1, and 3.11 ±0.89 mg/d for CEL. None of them was associated with SAF in the total study population. However, in stratified analyses, CML was positively associated with SAF after excluding both individuals with diabetes and individuals with CKD: 1 SD higher daily CML intake was associated with a 0.03 (95% CI: 0.009, 0.05) arbitrary units higher SAF. MGH1 and CEL intake were not significantly associated with SAF. Nevertheless, the associations were stronger when the time difference between dAGEs and SAF measurements was shorter.
conclusionsHigher dietary CML intake was associated with higher SAF only among participants with neither diabetes nor CKD, which may be explained by high AGE formation in diabetes and decreased excretion in CKD or by dietary modifications in these disease groups. The dAGE-SAF associations were also modified by the time difference between measurements. Our results suggest that dAGEs can influence tissue AGE accumulation and possibly thereby age-related diseases. This trial was registered at the Netherlands National Trial Register as NTR6831 (http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6831) and at the WHO International Clinical Trials Registry Platform as NTR6831 (http://www.who.int/ictrp/network/primary/en/).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.