ArticleJournal of microbiology (Seoul, Korea)2023
Comparison of Conjunctival Sac Microbiome between Low and High Myopic Eyes.
Article in Journal of microbiology (Seoul, Korea), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 4 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
- Profiling of ocular surface microbiome and its ocular types in children and adolescents.Communications medicine · 2026Article
- Associations between Ocular Surface Microbiome and Refractive Status in Children and Adolescents.Ophthalmology science · 2026Article
- Early-life exposure to antibiotics increases the risk of myopia: A retrospective cohort study.BioMedicine · 2026Article
- HarnessingGut microbes · 2025Article
- Research Progress of Epigenetic Modifications in Myopia.International journal of medical sciences · 2025Review
- Sequencing the ocular surface microbiome: a review of methodological practices and considerations.Frontiers in ophthalmology · 2025Review
- Gut Microbiota Profiles in Myopes and Nonmyopes.Investigative ophthalmology & visual science · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial communities played a vital role in maintaining homeostasis of ocular surface. However, no studies explored the myopia-associated conjunctiva microbiota changes until now. In this study, conjunctival sac swab specimens were collected from 12 eyes of low myopia (LM), and 14 eyes of high myopia (HM) patients. The V3-V4 region of the 16S rRNA gene was amplified and then sequenced. Statistical analysis was performed to investigate differences in the taxonomy and diversity between two groups. Compared to LM, higher Ocular Surface Disease Index (OSDI) scores were observed in HM group. The Shannon index of the HM was lower than that of the LM group (P = 0.017). Principle coordinate analysis and Partial Least Squares Discrimination Analysis showed distinct microbiome composition between two groups. At the phylum level, there were higher relative abundances of Proteobacteria (68.27% vs 38.51%) and lower abundances of Actinobacteria (3.71% vs 9.19%) in HM, compared to LM group (P = 0.031, 0.010, respectively). At the genus level, the abundances of Acinetobacter in HM (18.16%) were significantly higher than the LM (6.52%) group (P = 0.011). Actinobacteria levels were negatively correlated with the myopic spherical equivalent and OSDI scores. Moreover, positive correlations were found between Proteobacteria levels and OSDI scores, Acinetobacter levels were positively correlated with myopic spherical equivalent and OSDI scores. In conclusion, HM Patients have bacterial microbiota imbalance in the conjunctival sac, compared with LM patients. Proteobacteria, Actinobacteria, Acinetobacter may play roles in the HM associated ocular surface irritation.
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