ArticleBMJ open ophthalmology2023
Comparative evaluation of 16S rRNA metagenomic sequencing in the diagnosis and understanding of bacterial endophthalmitis.
Article in BMJ open ophthalmology, 2023. 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, 4 citations in OpenAlex.
- Enhanced pathogen identification in fungal endophthalmitis by metagenomic next-generation sequencing: a retrospective clinical evaluation.Scientific reports · 2026Article
- Pathogen-oriented targeted next-generation sequencing as an adjunctive tool for detection of pathogens in endophthalmitis: a retrospective clinical evaluation.Frontiers in medicine · 2026Article
- Overview of Microorganisms: Bacterial Microbiome, Mycobiome, Virome Identified Using Next-Generation Sequencing, and Their Application to Ophthalmic Diseases.Microorganisms · 2025Review
- Cases of endophthalmitis caused by Candida albicans and Candida dubliniensis identified via internal transcribed spacer deep sequencing.BMC ophthalmology · 2024Article
- Exploring the Microbial Landscape of Bone and Joint Infections: An Analysis Using 16S rRNA Metagenome Sequencing.Infection and drug resistance · 2024Article
- Current understanding of ocular fluid analysis in uveitis.Taiwan journal of ophthalmologyReview
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the usefulness of metagenomic analysis in the search for causative organisms of bacterial endophthalmitis. METHODS AND ANALYSIS: Twenty-one consecutive treatment-naïve patients (13 men and 8 women; mean age, 60.8±19.8 years) with suspected endophthalmitis were recruited. Vitrectomy was performed to diagnose and treat endophthalmitis. Bacterial culture and metagenomic analysis of the vitreous body were performed. Extracted DNA was analysed using 16S rRNA sequences, and libraries were sequenced on an Illumina MiSeq sequencer. To compare the bacterial composition in each case, α and β diversities were determined.
resultsPatients were categorised into three groups: endophthalmitis cases with matching predominant organisms according to metagenomic analysis and bacterial culture, those with negative results for bacterial culture and those with negative results in both cases. In 7 of 15 culture-negative cases, results from metagenomic analysis could detect pathogens. The diversity of bacterial populations was significantly lower in the group with positive results for predominant bacteria according to culture and metagenomic analysis. All patients with uveitis were included in the group for which the causative pathogen could not be determined by culture or metagenomic analysis. The structures of bacterial populations significantly differed between the positive and negative groups by culture and metagenomic analysis.
conclusionsMetagenomic analysis could be useful for prompt detection of causative pathogens, for precise diagnosis of infection, and as a marker of inflammation processes such as uveitis.
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