Ocular conjunctival microbiome profiling in dry eye disease: A case control pilot study

Purpose: Keratoconjunctivitis sicca (KCS) or dry eye disease (DED) is a multifactorial disease that results in discomfort, visual disturbance, and tear film instability with potential damage to the ocular surface. A pilot study was undertaken to determine if there were any major substantial differen...

Full description

Saved in:
Bibliographic Details
Published in:Indian journal of ophthalmology 2023-04, Vol.71 (4), p.1574-1581
Main Authors: Gupta, Noopur, Chhibber-Goel, Jyoti, Gupta, Yogita, Mukherjee, Souvik, Maitra, Arindam, Sharma, Amit, Tandon, Radhika
Format: Article
Language:English
Subjects:
16s rrna
Bacteria
Bacteria - genetics
Case-Control Studies
Causes of
Conjunctiva
Conjunctiva - microbiology
Diagnosis
DNA sequencing
dry eye disease
Dry eye syndromes
Dry Eye Syndromes - diagnosis
Eye diseases
Firmicutes
Health aspects
Humans
Identification and classification
Keratoconjunctivitis
Methods
Microbiomes
Microbiota
Microbiota (Symbiotic organisms)
Nucleotide sequencing
ocular microbiome
ocular surface
Original
Pilot Projects
Population studies
rRNA 16S
Tears
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Purpose: Keratoconjunctivitis sicca (KCS) or dry eye disease (DED) is a multifactorial disease that results in discomfort, visual disturbance, and tear film instability with potential damage to the ocular surface. A pilot study was undertaken to determine if there were any major substantial differences in the ocular microbiome in DED patients versus healthy controls. Methods: The bacterial communities residing in the conjunctiva of patients with DED (n = 4) and healthy controls (n = 4) were assessed by 16S ribosomal RNA (rRNA) gene sequencing of the V4-V5 region. Results: The phyla Proteobacteria, Actinobacteria, Bacteroidetes, and Firmicutes were most dominant and accounted for 97% and 94.5% of all bacterial sequences in patients and controls, respectively. At the genus level, 27 bacterial genera were found with more than two-fold difference between patients and controls. Four of these - Acinetobacter, Corynebacterium, Lactobacillus, and Pseudomonas spp. - dominated the ocular microbiome of all subjects, but were proportionately lower in DED (16.5%) compared to controls (37.7%). Several bacterial genera were found to be unique in DED (34) and controls (24). Conclusion: This pilot study is an attempt to profile the ocular microbiome in patients with DED that demonstrated a higher concentration of microbial DNA compared to controls, with Firmicutes phyla dominating the bacterial population in patients with DED.
ISSN:0301-4738
1998-3689
DOI:10.4103/ijo.IJO_1756_22