Gut Microbiota Dysbiosis in Diabetic Retinopathy-Current Knowledge and Future Therapeutic Targets.
Dragoș ȘerbanAna Maria DascaluAndreea Letitia ArseneLaura Carina TribusGeta VanceaAnca Mihaela Pantea StoianDaniel Ovidiu CosteaMihail Silviu TudosieDaniela StanaBogdan Mihai CristeaVanessa Andrada NicolaeCorneliu TudorAndreea Cristina CosteaMeda ComandasuMihai FaurCiprian TanasescuPublished in: Life (Basel, Switzerland) (2023)
Diabetic retinopathy is one of the major causes of blindness today, despite important achievements in diagnosis and therapy. The involvement of a gut-retina axis is thought to be a possible risk factor for several chronic eye disease, such as glaucoma, age-related macular degeneration, uveitis, and, recently, diabetic retinopathy. Dysbiosis may cause endothelial disfunction and alter retinal metabolism. This review analyzes the evidence regarding changes in gut microbiota in patients with DR compared with diabetics and healthy controls (HCs). A systematic review was performed on PubMed, Web of Science, and Google Scholar for the following terms: "gut microbiota" OR "gut microbiome" AND "diabetic retinopathy". Ultimately, 9 articles published between 2020 and 2022 presenting comparative data on a total of 228 T2DM patients with DR, 220 patients with T2DM, and 118 HCs were analyzed. All of the studies found a distinctive microbial beta diversity in DR vs. T2DM and HC, characterized by an altered Firmicutes/Bacteroidetes ratio, a decrease in butyrate producers, and an increase in LPS-expressing and pro-inflammatory species in the Bacteroidetes and Proteobacteria phyla. The probiotic species Bifidobacterium and Lactobacillus were decreased when compared with T2DM. Gut microbiota influence retinal health in multiple ways and may represent a future therapeutic target in DR.
Keyphrases
- diabetic retinopathy
- optical coherence tomography
- editorial comment
- age related macular degeneration
- glycemic control
- healthcare
- public health
- current status
- microbial community
- optic nerve
- type diabetes
- stem cells
- randomized controlled trial
- metabolic syndrome
- electronic health record
- adipose tissue
- machine learning
- skeletal muscle
- rheumatoid arthritis
- endothelial cells
- health information
- deep learning
- ankylosing spondylitis
- health promotion
- disease activity
- wild type