Xiayu Xu1,2, Bin Gao3, Wenxiang Ding1,2, Qiong Wang4, Maiye Zhang4, Tao Tan5, Fei Sun4, Jianqin Lei6, Qiuhe Ji7, Feng Xu8,9. 1. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China. 2. Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China. 3. Department of Endocrinology, Tangdu Hospital Air Force Military Medical University, Xi'an, 710038, People's Republic of China. 4. Department of Endocrinology and Metabolism, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, People's Republic of China. 5. Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands. 6. Department of Ophthalmology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China. 7. Department of Endocrinology and Metabolism, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, People's Republic of China. jqiuhe@fmmu.edu.cn. 8. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China. fengxu@xjtu.edu.cn. 9. Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China. fengxu@xjtu.edu.cn.
Abstract
AIMS: Retinal and renal microcirculations are known to share similar physiological changes during early diabetes because of abnormal glucose metabolism and other processes. The retinal vasculature therefore may serve as potential biomarker for the early identification of those at high risk of chronic kidney disease (CKD) in diabetes. METHODS: Data from 1925 patients (aged 49.0 ± 10.3) with type 2 diabetes were analyzed. Various retinal image measurements (RIMs) were collected using a validated fully automated computer program. Multiple logistic regressions were performed to investigate the correlation between RIMs and CKD. RESULTS: In logistic regression adjusting for multiple variables, wider venular calibers in the central and middle zones and narrower arteriolar caliber in the central zone were associated with CKD (p < 0.001, p = 0.020, and p < 0.001, respectively). Increased arteriolar tortuosity was associated with CKD (p = 0.035). Multiple image texture measurements were also significantly associated with CKD. CONCLUSIONS: Renal dysfunction in type 2 diabetes was associated with various retinal image measurements. These non-invasive image measurements may serve as potential biomarkers for the early identification and monitoring of individuals at high risk of CKD in the course of diabetes.
AIMS: Retinal and renal microcirculations are known to share similar physiological changes during early diabetes because of abnormal glucose metabolism and other processes. The retinal vasculature therefore may serve as potential biomarker for the early identification of those at high risk of chronic kidney disease (CKD) in diabetes. METHODS: Data from 1925 patients (aged 49.0 ± 10.3) with type 2 diabetes were analyzed. Various retinal image measurements (RIMs) were collected using a validated fully automated computer program. Multiple logistic regressions were performed to investigate the correlation between RIMs and CKD. RESULTS: In logistic regression adjusting for multiple variables, wider venular calibers in the central and middle zones and narrower arteriolar caliber in the central zone were associated with CKD (p < 0.001, p = 0.020, and p < 0.001, respectively). Increased arteriolar tortuosity was associated with CKD (p = 0.035). Multiple image texture measurements were also significantly associated with CKD. CONCLUSIONS:Renal dysfunction in type 2 diabetes was associated with various retinal image measurements. These non-invasive image measurements may serve as potential biomarkers for the early identification and monitoring of individuals at high risk of CKD in the course of diabetes.
Authors: L D Hubbard; R J Brothers; W N King; L X Clegg; R Klein; L S Cooper; A R Sharrett; M D Davis; J Cai Journal: Ophthalmology Date: 1999-12 Impact factor: 12.079
Authors: R Klein; M D Knudtson; B E K Klein; B Zinman; R Gardiner; S Suissa; A R Sinaiko; S M Donnelly; P Goodyer; T Strand; M Mauer Journal: Diabetologia Date: 2010-05-01 Impact factor: 10.122
Authors: Muhammad Bayu Sasongko; Tien Yin Wong; Kim C Donaghue; Ning Cheung; Alicia J Jenkins; Paul Benitez-Aguirre; Jie Jin Wang Journal: Am J Ophthalmol Date: 2011-09-09 Impact factor: 5.258
Authors: Charumathi Sabanayagam; Anoop Shankar; Barbara E K Klein; Kristine E Lee; Paul Muntner; F Javier Nieto; Michael Y Tsai; Karen J Cruickshanks; Carla R Schubert; Peter C Brazy; Josef Coresh; Ronald Klein Journal: Am J Kidney Dis Date: 2011-05 Impact factor: 8.860