Metagenome Techniques for Detection of Pathogens Causing Ocular Infection

Author:

Kobayashi Tatsuhiko,Suzuki Takashi,Okajima Yukinobu,Aoki Kotaro,Ishii Yoshikazu,Tateda Kazuhiro,Hori YuichiORCID

Abstract

Metagenomic analysis is the comprehensive study of DNA using clinical specimens of organisms including bacteria, fungi, and viruses. In this study, we investigated the efficacy of metagenomic analysis for diagnosing ocular infections, including 11 keratitis cases, four iridocyclitis cases, and one endophthalmitis case. Corneal scraping, aqueous humor, and vitreous humor, were collected respectively. Ocular specimens were used for bacterial and fungal culture, and PCR for detecting viral DNA. Shotgun metagenomic sequencing for 150 bases of single end was performed by Illumina MiSeq® System. Sequence was retrieved from the database at NCBI using a MegaBLAST search. Since Propionibacterium spp. are commensal bacteria found at the ocular surface, they were excluded from analysis. Six cases (37.5%) were positive for culture or PCR. Metagenome techniques revealed that 9 cases (56.3%) included genomes of organisms that were considered pathogenic in specimens. Five cases (31.3%) possessed genomes of organisms like themselves that were detected by culture and PCR. Six cases (37.5%) were negative for culture, PCR, and metagenome analysis. Moreover, viral pathogens (HSV-1, 2 cases; and VZV, 1 case) were detected by only metagenome analysis. Metagenome analysis using an ocular sample can detect microbial genome comprehensively, and viral pathogens, which were not detected by conventional examination.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bacterial and Fungal Keratitis: Current Trends in Its Diagnosis and Management;Current Clinical Microbiology Reports;2023-11-15

2. Infectious keratitis: A review;Clinical & Experimental Ophthalmology;2022-06-03

3. 16S rRNA nanopore sequencing for the diagnosis of ocular infection: a feasibility study;BMJ Open Ophthalmology;2022-05

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