ArticleBMC microbiology2024
Unique composition of ocular surface microbiome in the old patients with dry eye and diabetes mellitus in a community from Shanghai, China.
Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Conjunctival Sac-Derived Lactobacillus mucosae MM-1 Metabolite Indole-3-Lactic Acid Attenuates Lens-Induced Myopia in Mice via AHR Activation and TGF-β/Smad Inhibition.Microbial biotechnology · 2026Article
- From Health to Disease: A Comprehensive Review of Ocular Surface Microbiota and Detection Methods in Dry Eye.Current microbiology · 2026Review
- The prevalence and associated factors of dry eye disease amongst people diagnosed with diabetes mellitus in Bronkhorstspruit.Frontiers in clinical diabetes and healthcare · 2026Article
- Alterations of ocular surface microbiome in glaucoma and its association with dry eye.Journal of medical microbiology · 2025Article
- Sequencing the ocular surface microbiome: a review of methodological practices and considerations.Frontiers in ophthalmology · 2025Review
- PMToxics · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study investigates the variations in microbiome abundance and diversity on the ocular surfaces of diabetic patients suffering from dry eye within a community setting. The goal is to offer theoretical insights for the community-level prevention and treatment of dry eye in diabetic cohorts.
methodsDry eye screening was performed in the Shanghai Cohort Study of Diabetic Eye Disease (SCODE) from July 15, 2021, to August 15, 2021, in the Xingjing community; this study included both a population with diabetes and a normal population. The population with diabetes included a dry eye group (DM-DE, n = 40) and a non-dry eye group (DM-NoDE, n = 39). The normal population included a dry eye group (NoDM-DE, n = 40) and a control group (control, n = 39). High-throughput sequencing of the 16 S rRNA V3-V4 region was performed on conjunctival swab from both eyes of each subject, and the composition of microbiome on the ocular surface of each group was analyzed.
resultsSignificant statistical differences were observed in both α and β diversity of the ocular surface microbiome among the diabetic dry eye, diabetic non-dry eye, non-diabetic dry eye, and normal control groups (P < 0.05).
conclusionsThe study revealed distinct microecological compositions on the ocular surfaces between the diabetic dry eye group and other studied groups. Firmicutes and Anoxybacillus were unique bacterial phyla and genera in the dry eye with DM group, while Actinobacteria and Corynebacterium were unique bacterial phyla and genera in the normal control group.
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