Metabolomics in retinal diseases: an update

Xing Li, Shichang Cai , Zhiming He, James Reilly, Zhihong Zeng, Niall Strang, Xinhua Shu*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)
36 Downloads (Pure)

Abstract

Retinal diseases are a leading cause of visual loss and blindness, affecting a significant proportion of the population worldwide and having a detrimental impact on quality of life, with consequent economic burden. The retina is highly metabolically active, and a number of retinal diseases are associated with metabolic dysfunction. To better understand the pathogenesis underlying such retinopathies, new technology has been developed to elucidate the mechanism behind retinal diseases. Metabolomics is a relatively new “omics” technology, which has developed subsequent to genomics, transcriptomics, and proteomics. This new technology can provide qualitative and quantitative information about low-molecular-weight metabolites (M.W. < 1500 Da) in a given biological system, which shed light on the physiological or pathological state of a cell or tissue sample at a particular time point. In this article we provide an extensive review of the application of metabolomics to retinal diseases, with focus on age-related macular degeneration (AMD), diabetic retinopathy (DR), retinopathy of prematurity (ROP), glaucoma, and retinitis pigmentosa (RP).
Original languageEnglish
Article number944
Number of pages25
JournalBiology
Volume10
Issue number10
DOIs
Publication statusPublished - 22 Sep 2021

Keywords

  • glaucoma
  • diabetic retinopathy
  • metabolomics
  • retinopathy
  • age-related macular degeneration
  • retinitis pigmentosa
  • retinopathy of premature

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Fingerprint

Dive into the research topics of 'Metabolomics in retinal diseases: an update'. Together they form a unique fingerprint.

Cite this