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THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
Disclosure: A.B. Murthy: None. B.E. Gray: None. M. Cote: None. B. Zahedi: None. E.W. Yu: Grant Recipient; Self; Amgen Inc. Background: Advanced glycation end products (AGEs) are involved in the pathophysiology of diabetic complications, and are thought to accrue with aging, hyperglycemia, and throug...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555320/ http://dx.doi.org/10.1210/jendso/bvad114.769 |
Sumario: | Disclosure: A.B. Murthy: None. B.E. Gray: None. M. Cote: None. B. Zahedi: None. E.W. Yu: Grant Recipient; Self; Amgen Inc. Background: Advanced glycation end products (AGEs) are involved in the pathophysiology of diabetic complications, and are thought to accrue with aging, hyperglycemia, and through diet. Despite the postulated impact of dietary intake on circulating AGE levels, there is currently no validated methodology for dietary AGE (dAGE) assessment. Thus, we sought to develop a crosswalk algorithm to calculate AGE intake from the commonly utilized Block Food Frequency Questionnaire (FFQ), and to validate our algorithm by correlating dAGE to skin AGE values within a cohort of adults with Type 1 Diabetes (T1D). Methods: We performed preliminary analysis of 50 study participants from the ongoing Type 1 Diabetes Bone Health Connection (T1D BEACON) study evaluating postmenopausal women and men older than 50 years with T1D. Dietary AGE intake was quantified using a novel algorithm we developed to associate items from the 2014 Block FFQ with their AGE content as determined by ELISA in a published data set (Urribarri, et al. 2014). Mean daily dAGE intake (kU/day) was correlated with autoflourescent skin AGE values (AGE Reader, DiagnOptics Technologies) using multivariate linear regression, after adjusting for age and gender. Diabetic characteristics and complications were assessed through questionnaires, physical exams (mTCNS, DPNCheck), chart review, and urine/serum tests. Results: The average age of the T1D cohort was 62.7 ± 6.8 years, 50% were female, the average duration of diabetes was 45 ± 9.4 years, with average A1c of 7.2 ± 1.1. Regarding diabetic complications, 70% had retinopathy, 30% had microalbuminuria (urine albumin-creatinine ratio > 30 mcg/mg), and 33% had neuropathy (mTCNS score > 5). Using our novel algorithm, the mean daily dAGE intake was calculated as 13178 ± 4455 kU/day. Mean daily dAGE intake was significantly higher for men (15279 ± 6337 kU/day) compared to women (11628 ± 3699 kU/day) (p = 0.016). Importantly, dAGEs were significantly correlated with skin AGEs (r = 0.409, p = 0.004), an association that persisted after adjusting for age and gender (p = 0.005). Additionally, dAGEs were correlated with current A1c values (r=0.37, p = 0.009, adj. p = 0.042) and with BMI (r = 0.32, p = 0.024, adj. p = 0.020), even after adjusting for age and gender. No associations were found between dAGEs and retinopathy, microalbuminuria, or neuropathy. Additional analysis of the full planned cohort is ongoing, along with assessments of serum AGE levels. Conclusion: We have developed and validated a novel dietary AGE algorithm that quantifies dAGE intake using the Block FFQ and is correlated with skin AGEs and glycemic control among adults with T1D. If further validated in larger cohorts, we hope this dAGE tool will facilitate future investigation of the impact of dietary AGEs on diabetic complications. Presentation: Thursday, June 15, 2023 |
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