ArticleFrontiers in immunology2022
Metagenomic shotgun sequencing and metabolomic profiling identify specific human gut microbiota associated with diabetic retinopathy in patients with type 2 diabetes.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- The relationship between diabetic retinopathy and intestinal microbiota: a systematic review and meta analysis.International ophthalmology · 2026Pooled it
- The gut-eye axis: microbiota and their role in diabetic retinopathy: a systematic review and meta-analysis.BMC ophthalmology · 2026Pooled it
- Association between Gut Microbiota Compositions with MicrovascularComplications in Individuals with Diabetes: A Systematic Review.Current diabetes reviews · 2024Pooled it
- Exploring Endotoxemia in Age-Related Macular Degeneration, Glaucoma, and Diabetic Retinopathy.Investigative ophthalmology & visual science · 2026Review
- An Update and Overview of the Ocular and Extraocular Microbiome and Its Impact on Ophthalmic Care.Advances in therapy · 2026Review
- Dietary patterns and exploratory gut microbiota profiles associated with diabetic retinopathy and cognitive impairment in type 2 diabetes.Nutrition & metabolism · 2026Article
- The gut-retina axis in diabetic retinopathy: a new paradigm for pathogenesis and therapeutic intervention.Frontiers in immunology · 2026Review
- Role of gut microbiomes in different ocular pathologies: A systematic review.World journal of gastrointestinal pathophysiology · 2025Article
- Systems biology and microbiome innovations for personalized diabetic retinopathy management.NPJ systems biology and applications · 2025Review
- From background diabetic retinopathy to its proliferative stage. What is the role of gut microbiota in the trajectory of DR? a Mendelian randomization study with mediation analysis.Diabetology & metabolic syndrome · 2025Article
- Short-Chain Fatty Acids Are Potential Biomarkers of Immune Regulation in Diabetic Retinopathy.Investigative ophthalmology & visual science · 2025Article
- Alterations in ocular fungal microbiota in patients with fungal keratitis: a comparative study from coastal regions of Eastern China.BMC ophthalmology · 2025Article
- Exploring the Gut Microbiota-Retina Axis: Implications for Health and Disease.Microorganisms · 2025Review
- Gut microbiota predict retinopathy in patients with diabetes: A longitudinal cohort study.Applied microbiology and biotechnology · 2024Article
- From Gut to Eye: Exploring the Role of Microbiome Imbalance in Ocular Diseases.Journal of clinical medicine · 2024Review
- A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions.Frontiers in microbiology · 2024Review
- Causal relationship between T2DM microvascular complications and gut microbiota: a Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Recent Advances and Perspectives in Relation to the Metabolomics-Based Study of Diabetic Retinopathy.Metabolites · 2023Review
- Metabolomic profiling of a neurodegenerative retina following optic nerve transection.Molecular medicine reports · 2023Article
- Targeting the Gut-Eye Axis: An Emerging Strategy to Face Ocular Diseases.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus (DM) and is one of the leading causes of blindness among DM patients. However, the molecular mechanism involving DR remains unclear. Methods: A case-control study with age-, sex-, and duration-matched diabetic patients and controls was conducted, which included 15 type 2 DM (T2DM) patients with DR and 15 T2DM patients without DR. Shotgun sequencing and non-targeted metabolomic profiling analyses of fecal samples were performed, and comprehensive bioinformatics analyses were conducted. Results: Using metagenomic analyses, we identified 293,460 unique genes in the non-DR group, while that in the DR group was 283,235, and the number of overlapping genes was 1,237,914. Regarding phylum levels, Conclusions: Together, the metagenomic profiles of DR patients indicated different gut microbiota compositions and characteristic fecal metabolic phenotypes in DR patients. Our findings of microbial pathways therefore provided potential etiological and therapeutic targets for DR patients.
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