BACKGROUND This study systematically investigated circulating and retinal tissue lipid determinants of human diabetic retinopathy (DR) to identify underlying lipid alterations associated with severity of DR.METHODS Retinal tissues were retrieved from postmortem human eyes, including 19 individuals without diabetes, 20 with diabetes but without DR, and 20 with diabetes and DR, for lipidomic study. In a parallel study, serum samples from 28 American Indians with type 2 diabetes from the Gila River Indian Community, including 12 without DR, 7 with mild nonproliferative DR (NPDR), and 9 with moderate NPDR, were selected. A mass-spectrometry–based lipidomic platform was used to measure serum and tissue lipids.RESULTS In the postmortem retinas, we found a graded decrease of long-chain acylcarnitines and longer-chain fatty acid ester of hydroxyl fatty acids, diacylglycerols, triacylglycerols, phosphatidylcholines, and ceramide(NS) in central retina from individuals with no diabetes to those with diabetes with DR. The American Indians’ sera also exhibited a graded decrease in circulating long-chain acylcarnitines and a graded increase in the intermediate-length saturated and monounsaturated triacylglycerols from no DR to moderate NPDR.CONCLUSION These findings suggest diminished synthesis of complex lipids and impaired mitochondrial β-oxidation of fatty acids in retinal DR, with parallel changes in circulating lipids.TRIAL REGISTRATION ClinicalTrials.gov NCT00340678.FUNDING This work was supported by NIH grants R24 DK082841, K08DK106523, R03DK121941, P30DK089503, P30DK081943, P30DK020572, P30 EY007003; The Thomas Beatson Foundation; and JDRF Center for Excellence (5-COE-2019-861-S-B).
Patrice E. Fort, Thekkelnaycke M. Rajendiran, Tanu Soni, Jaeman Byun, Yang Shan, Helen C. Looker, Robert G. Nelson, Matthias Kretzler, George Michailidis, Jerome E. Roger, Thomas W. Gardner, Steven F. Abcouwer, Subramaniam Pennathur, Farsad Afshinnia
Title and authors | Publication | Year |
---|---|---|
A Metabolism-Based Interpretable Machine Learning Prediction Model for Diabetic Retinopathy Risk: A Cross-Sectional Study in Chinese Patients with Type 2 Diabetes
Zong GW, Wang WY, Zheng J, Zhang W, Luo WM, Fang ZZ, Zhang Q |
Journal of Diabetes Research | 2023 |
Retinoid X Receptor Activation Prevents Diabetic Retinopathy in Murine Models
Dorofeeva I, Zhylkibayev A, Saltykova IV, Atigadda V, Adhikari B, Gorbatyuk OS, Grant MB, Gorbatyuk MS |
Cells | 2023 |
Retinoid X Receptor activation prevents diabetic retinopathy in murine models.
Dorofeeva I, Zhylkibayev A, Saltykova IV, Atigadda V, Adhikari B, Gorbatyuk O, Grant MB, Gorbatyuk M |
bioRxiv : the preprint server for biology | 2023 |
Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics.
Yagin FH, Yasar S, Gormez Y, Yagin B, Pinar A, Alkhateeb A, Ardigò LP |
Metabolites | 2023 |