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A Tear-Based Approach for Rapid Identification of Bacterial Pathogens in Corneal Ulcers Using Nanopore Sequencing
Mark Dibbs1, Mitchelle Matesva1, Despoina Theotoka1
1Department of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, CT, USA.
Translational Vision Science & Technology
|April 17, 2025
Summary
Portable Nanopore sequencing of tear samples offers a non-invasive, effective method for identifying bacterial pathogens in corneal ulcers, matching traditional culture results.
Area of Science:
- Ophthalmology
- Microbiology
- Genomics
Background:
- Corneal ulcers are serious eye infections often requiring prompt diagnosis.
- Traditional methods for identifying bacterial pathogens, like corneal scraping and culture, can be invasive and time-consuming.
Purpose of the Study:
- To assess the efficacy of portable next-generation sequencing (NGS) directly on tear samples for identifying bacterial pathogens in corneal ulcers.
Main Methods:
- Prospective observational study involving tear sample collection using Schirmer strips from ulcerated and contralateral eyes.
- Polymerase chain reaction (PCR) amplification of the 16S rRNA gene from tear samples.
- Nanopore sequencing for bacterial species identification and taxonomic classification.
Main Results:
- Bacterial DNA was identified in 8 of 10 tear samples using the NGS method.
- Nanopore sequencing accurately identified causative bacteria in culture-confirmed cases and detected pathogens in ulcers without bacterial growth on culture.
- Tear sequencing successfully identified bacterial species in cases where corneal cultures were not feasible.
Conclusions:
- PCR amplification of 16S rRNA from tears followed by Nanopore sequencing is an effective, non-invasive diagnostic method for bacterial corneal ulcers.
- This tear-based approach provides non-inferior results compared to traditional culture methods.
- The method improves diagnostic timing and accuracy, enabling earlier targeted antimicrobial therapy and potentially better patient outcomes.

