Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Murthy, Ananya B, Gray, Brianna E, Cote, Maya, Zahedi, Bita, Wei-Yin Yu, Elaine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555320/
http://dx.doi.org/10.1210/jendso/bvad114.769
_version_ 1785116628796571648
author Murthy, Ananya B
Gray, Brianna E
Cote, Maya
Zahedi, Bita
Wei-Yin Yu, Elaine
author_facet Murthy, Ananya B
Gray, Brianna E
Cote, Maya
Zahedi, Bita
Wei-Yin Yu, Elaine
author_sort Murthy, Ananya B
collection PubMed
description 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
format Online
Article
Text
id pubmed-10555320
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105553202023-10-06 THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D Murthy, Ananya B Gray, Brianna E Cote, Maya Zahedi, Bita Wei-Yin Yu, Elaine J Endocr Soc Diabetes And Glucose Metabolism 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 Oxford University Press 2023-10-05 /pmc/articles/PMC10555320/ http://dx.doi.org/10.1210/jendso/bvad114.769 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Diabetes And Glucose Metabolism
Murthy, Ananya B
Gray, Brianna E
Cote, Maya
Zahedi, Bita
Wei-Yin Yu, Elaine
THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
title THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
title_full THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
title_fullStr THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
title_full_unstemmed THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
title_short THU336 Correlation Between Dietary Advanced Glycation End-products (Ages) And Skin Ages In Adults With Longstanding T1D
title_sort thu336 correlation between dietary advanced glycation end-products (ages) and skin ages in adults with longstanding t1d
topic Diabetes And Glucose Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555320/
http://dx.doi.org/10.1210/jendso/bvad114.769
work_keys_str_mv AT murthyananyab thu336correlationbetweendietaryadvancedglycationendproductsagesandskinagesinadultswithlongstandingt1d
AT graybriannae thu336correlationbetweendietaryadvancedglycationendproductsagesandskinagesinadultswithlongstandingt1d
AT cotemaya thu336correlationbetweendietaryadvancedglycationendproductsagesandskinagesinadultswithlongstandingt1d
AT zahedibita thu336correlationbetweendietaryadvancedglycationendproductsagesandskinagesinadultswithlongstandingt1d
AT weiyinyuelaine thu336correlationbetweendietaryadvancedglycationendproductsagesandskinagesinadultswithlongstandingt1d