Purchase this article with an account.
Fuxin Zhao, Dake Zhang, Chaoxiang Ge, Lei Zhang, Peter S. Reinach, Xiangjun Tian, Chengcheng Tao, Zhelin Zhao, Chenchen Zhao, Wenjie Fu, Changqing Zeng, Wei Chen; Metagenomic Profiling of Ocular Surface Microbiome Changes in Meibomian Gland Dysfunction. Invest. Ophthalmol. Vis. Sci. 2020;61(8):22. doi: https://doi.org/10.1167/iovs.61.8.22.
Download citation file:
© ARVO (1962-2015); The Authors (2016-present)
Ocular surface microbiome changes can affect meibomian gland dysfunction (MGD) development. This study aimed to delineate differences among the microbiome of eyelid skin, conjunctiva, and meibum in healthy controls (HCs) and patients afflicted with MGD.
Shotgun metagenomic analysis was used to determine if there are differences between the microbial communities in ocular sites surrounding the meibomian gland in healthy individuals and patients afflicted with MGD.
The meibum bacterial content of these microbiomes was dissimilar in these two different types of individuals. Almost all of the most significant taxonomic changes in the meibum microbiome of individuals with MGD were also present in their eyelid skin, but not in the conjunctiva. Such site-specific microbe pattern changes accompany increases in the gene expression levels controlling carbohydrate and lipid metabolism. Most of the microbiomes in patients with MGD possess a microbe population capable of metabolizing benzoate. Pathogens known to underlie ocular infection were evident in these individuals. MGD meibum contained an abundance of Campylobacter coli, Campylobacter jejuni, and Enterococcus faecium pathogens, which were almost absent from HCs. Functional annotation indicated that in the microbiomes of MGD meibum their capability to undergo chemotaxis, display immune evasive virulence, and mediate type IV secretion was different than that in the microbiomes of meibum isolated from HCs.
MGD meibum contains distinct microbiota whose immune evasive virulence is much stronger than that in the HCs. Profiling differences between the meibum microbiome makeup in HCs and patients with MGD characterizes changes of microbial communities associated with the disease status.
This PDF is available to Subscribers Only