Illuminating uveitis: metagenomic deep sequencing identifies common and rare pathogens.

ABSTRACT:

Background

Ocular infections remain a major cause of blindness and morbidity worldwide. While prognosis is dependent on the timing and accuracy of diagnosis, the etiology remains elusive in ~50 % of presumed infectious uveitis cases. The objective of this study is to determine if unbiased metagenomic deep sequencing (MDS) can accurately detect pathogens in intraocular fluid samples of patients with uveitis.

Methods

This is a proof-of-concept study, in which intraocular fluid samples were obtained from five subjects with known diagnoses, and one subject with bilateral chronic uveitis without a known etiology. Samples were subjected to MDS, and results were compared with those from conventional diagnostic tests. Pathogens were identified using a rapid computational pipeline to

SUBMITTER: Doan T 

PROVIDER: S-EPMC4997733 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature