Metabolomics in Diabetic Retinopathy: From Potential Biomarkers to Molecular Basis of Oxidative Stress

Cells. 2022 Sep 26;11(19):3005. doi: 10.3390/cells11193005.

Abstract

Diabetic retinopathy (DR), the leading cause of blindness in working-age adults, is one of the most common complications of diabetes mellitus (DM) featured by metabolic disorders. With the global prevalence of diabetes, the incidence of DR is expected to increase. Prompt detection and the targeting of anti-oxidative stress intervention could effectively reduce visual impairment caused by DR. However, the diagnosis and treatment of DR is often delayed due to the absence of obvious signs of retina imaging. Research progress supports that metabolomics is a powerful tool to discover potential diagnostic biomarkers and therapeutic targets for the causes of oxidative stress through profiling metabolites in diseases, which provides great opportunities for DR with metabolic heterogeneity. Thus, this review summarizes the latest advances in metabolomics in DR, as well as potential diagnostic biomarkers, and predicts molecular targets through the integration of genome-wide association studies (GWAS) with metabolomics. Metabolomics provides potential biomarkers, molecular targets and therapeutic strategies for controlling the progress of DR, especially the interventions at early stages and precise treatments based on individual patient variations.

Keywords: biomarkers; diabetic retinopathy; metabolic pathway; metabolomics; molecular targets.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers / metabolism
  • Diabetes Mellitus*
  • Diabetic Retinopathy* / metabolism
  • Genome-Wide Association Study
  • Humans
  • Metabolomics
  • Oxidative Stress

Substances

  • Biomarkers

Grants and funding

This work was supported by Training Program of the Major Research Plan of the National Natural Science Foundation of China (92057106), National Key R&D Program of China (2021YFF0702100 and 2021YFA0805100), Natural Science Foundation of China (32171177), Natural Science Foundation of Shanghai (19ZR1440500), Shanghai Jiaotong University-Gaofeng Clinical Medicine Grant Support, and Shanghai Pujiang Program (2019PJD046).