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Effect of clinical parameters on the ocular surface microbiome in children and adults

Authors Cavuoto KM, Mendez R, Miller D, Galor A, Banerjee S

Received 25 February 2018

Accepted for publication 1 May 2018

Published 2 July 2018 Volume 2018:12 Pages 1189—1197

DOI https://doi.org/10.2147/OPTH.S166547

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser


Kara M Cavuoto,1,* Roberto Mendez,2,* Darlene Miller,1 Anat Galor,1,3 Santanu Banerjee2

1Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL, 2Department of Surgery, Miller School of Medicine, University of Miami, Miami, FL, 3Department of Ophthalmology, Miami Veterans Administration Medical Center, Miami, FL, USA

*These authors contributed equally to this work

Purpose: To perform a pilot study to characterize the effect of clinical parameters on the ocular surface microbiome (OSM) in children and adults using 16s ribosomal RNA sequencing.
Methods: Prospective, cross-sectional study using 16s sequencing to evaluate the OSM. Comparisons were made in bacterial composition by 1) age, 2) gender, 3) sampling location of the ocular and periocular surfaces, and 4) topical drop use. 16s sequencing was performed using Illumina MiSeq 250 and analyzed using Qiime.
Results: Thirty patients (15 children [mean 3.7 years], 15 adults [mean 60.4 years]) were sampled. Both principal coordinate analysis and unifrac distance analysis showed significant differences in the composition between the pediatric and adult OSMs (both p=0.001). The eyelid margin microbiota did not show any distinct clustering compared to conjunctiva within the pediatric samples but tended to show a distinction between anatomic sites in adult samples. No differences in OSM were noted by topical drop use.
Conclusion: 16s sequencing is a useful tool in evaluating the OSM in patients of all ages, showing a distinct difference between pediatric and adult microbiomes.

Keywords: ocular microbiome, conjunctival microbiome, eyelid margin microbiome, skin microbiome, 16s rRNA, paucibacterial, Qiime

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