TY - JOUR
T1 - Glycemic status and its association with retinal age gap
T2 - Insights from the UK biobank study
AU - Chen, Ruiye
AU - Xu, Jinyi
AU - Zhang, Xinyu
AU - Zhang, Junyao
AU - Shang, Xianwen
AU - Ge, Zongyuan
AU - He, Mingguang
AU - Wang, Wei
AU - Zhu, Zhuoting
N1 - Funding Information:
This present work was supported by the NHMRC Investigator Grant (2010072), Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China (82000901), Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou, China (Z012014075), Science and Technology Program of Guangzhou, China (202002020049). Professor Mingguang He receives support from the University of Melbourne through its Research Accelerator Program and the CERA Foundation. The Centre for Eye Research Australia (CERA) receives Operational Infrastructure Support from the Victorian State Government.
Funding Information:
This present work was supported by the NHMRC Investigator Grant ( 2010072 ), Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China ( 82000901 ), Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou , China ( Z012014075 ), Science and Technology Program of Guangzhou , China ( 202002020049 ). Professor Mingguang He receives support from the University of Melbourne through its Research Accelerator Program and the CERA Foundation. The Centre for Eye Research Australia (CERA) receives Operational Infrastructure Support from the Victorian State Government.
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/8
Y1 - 2023/8
N2 - Objective: To investigate associations between different glycemic status and biological age indexed by retinal age gap. Methods: A total of 28,919 participants from the UK Biobank study with available glycemic status and qualified retinal imaging data were included in the present analysis. Glycemic status included type 2 diabetes mellitus (T2D) disease status and glycemic indicators of plasma glycated hemoglobin (HbA1c) and glucose. Retinal age gap was defined as the difference between the retina-predicted age and chronological age. Linear regression models estimated the association of different glycemic status with retinal age gap. Results: Prediabetes and T2D was significantly associated with higher retinal age gaps compared to normoglycemia (regression coefficient [β] = 0.25, 95% confidence interval [CI]: 0.11–0.40, P = 0.001; β = 1.06, 95% CI: 0.83–1.29, P < 0.001; respectively). Multi-variable linear regressions further found an increase of HbA1c was independently associated with higher retinal age gaps among all subjects or subjects without T2D. Significant positive associations were noted across the increasing HbA1c and glucose groups with retinal age gaps compared to the normal level group. These findings remained significant after excluding diabetic retinopathy. Conclusions: Dysglycemia was significantly associated with accelerated ageing indexed by retinal age gaps, highlighting the importance of maintaining glycemic status.
AB - Objective: To investigate associations between different glycemic status and biological age indexed by retinal age gap. Methods: A total of 28,919 participants from the UK Biobank study with available glycemic status and qualified retinal imaging data were included in the present analysis. Glycemic status included type 2 diabetes mellitus (T2D) disease status and glycemic indicators of plasma glycated hemoglobin (HbA1c) and glucose. Retinal age gap was defined as the difference between the retina-predicted age and chronological age. Linear regression models estimated the association of different glycemic status with retinal age gap. Results: Prediabetes and T2D was significantly associated with higher retinal age gaps compared to normoglycemia (regression coefficient [β] = 0.25, 95% confidence interval [CI]: 0.11–0.40, P = 0.001; β = 1.06, 95% CI: 0.83–1.29, P < 0.001; respectively). Multi-variable linear regressions further found an increase of HbA1c was independently associated with higher retinal age gaps among all subjects or subjects without T2D. Significant positive associations were noted across the increasing HbA1c and glucose groups with retinal age gaps compared to the normal level group. These findings remained significant after excluding diabetic retinopathy. Conclusions: Dysglycemia was significantly associated with accelerated ageing indexed by retinal age gaps, highlighting the importance of maintaining glycemic status.
KW - Diabetes
KW - Plasma glucose
KW - Retinal age gap
UR - http://www.scopus.com/inward/record.url?scp=85164369799&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2023.110817
DO - 10.1016/j.diabres.2023.110817
M3 - Article
C2 - 37419389
AN - SCOPUS:85164369799
SN - 0168-8227
VL - 202
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
M1 - 110817
ER -