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- Title
Plasma Metabonomic Profiling of Diabetic Retinopathy.
- Authors
Liyan Chen; Ching-Yu Cheng; Hyungwon Choi; Ikram, Mohammad Kamran; Sabanayagam, Charumathi; Tan, Gavin S. W.; Dechao Tian; Liang Zhang; Venkatesan, Gopalakrishnan; E Shyong Tai; Jie Jin Wang; Mitchell, Paul; Cheung, Chiu Ming Gemmy; Beuerman, Roger Wilmer; Lei Zhou; Chun Yong Chan, Eric; Tien Yin Wong; Chen, Liyan; Cheng, Ching-Yu; Choi, Hyungwon
- Abstract
Diabetic retinopathy (DR) is the most common microvascular complication of diabetes and the leading cause of visual impairment in working-age adults. Patients with diabetes often develop DR despite appropriate control of systemic risk factors, suggesting the involvement of other pathogenic factors. We hypothesize that the plasma metabolic signature of DR is distinct and resolvable from that of diabetes alone. A nested population-based case-control metabonomic study was first performed on 40 DR cases and 40 control subjects with diabetes using gas chromatography-mass spectrometry. Eleven metabolites were found to be correlated with DR, and the majority were robust when adjusted for metabolic risk factors and confounding kidney disease. The metabolite markers 2-deoxyribonic acid; 3,4-dihydroxybutyric acid; erythritol; gluconic acid; and ribose were validated in an independent sample set with 40 DR cases, 40 control subjects with diabetes, and 40 individuals without diabetes. DR cases and control subjects with diabetes were matched by HbA1c in the validation set. Activation of the pentose phosphate pathway was identified from the list of DR metabolite markers. The identification of novel metabolite markers for DR provides insights into potential new pathogenic pathways for this microvascular complication and holds translational value in DR risk stratification and the development of new therapeutic measures.
- Subjects
SINGAPORE; DIABETIC retinopathy; METABOLISM; GLUCONIC acid; RIBOSE; PENTOSE phosphate pathway; GAS chromatography/Mass spectrometry (GC-MS); TYPE 2 diabetes complications; BIOCHEMISTRY; LONGITUDINAL method; TYPE 2 diabetes; CASE-control method
- Publication
Diabetes, 2016, Vol 65, Issue 4, p1099
- ISSN
0012-1797
- Publication type
journal article
- DOI
10.2337/db15-0661