2022
DOI: 10.1128/spectrum.02162-21
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Characterization of the Ocular Surface Microbiome in Keratitis Patients after Repeated Ophthalmic Antibiotic Exposure

Abstract: Treatment for keratitis is based on appropriate antimicrobial therapy. A direct correlation between antibiotic use and the extent of antibiotic resistance has been reported.

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Cited by 9 publications
(10 citation statements)
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References 50 publications
(45 reference statements)
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“…It was already proven that empirical antibiotic treatment in eye infections, such as keratitis, leads to an increase in the antibiotic resistome profile of the ocular surface microbiota [33].…”
Section: Discussionmentioning
confidence: 99%
“…It was already proven that empirical antibiotic treatment in eye infections, such as keratitis, leads to an increase in the antibiotic resistome profile of the ocular surface microbiota [33].…”
Section: Discussionmentioning
confidence: 99%
“…Only one case of endogenous necrotizing scleritis following A. oryzae meningitis was reported in 1982 [12]. Moreover, A. oryzae infection was referred in rare cases of infective keratitis [5,6]. Thus, to the best of our knowledge, this is the first case described of A. oryzae exogenous fungal endophthalmitis [6][7][8][9][10][11].…”
Section: Discussionmentioning
confidence: 99%
“…Healthy subjects were defined as subjects who had no ocular surgery, allergy or type of ocular inflammation, use of contact lens, ocular surface diseases, meibomian gland dysfunction, did not take any antibiotic doses in the past 6 months, and did not take any tablet for systemic diseases (since this fact could change the ocular microbiota), a BMI index between 18.5 and 24.9, and no hyperglycemia blood levels [ 26 ]. All those patients who were considered healthy and met the requirements were invited to participate in the study.…”
Section: Methodsmentioning
confidence: 99%
“…Proteobacteria , Actinobacteria, and Firmicutes are the dominant phyla on the OS. The most common taxa at the genus level are Pseudomonas , Propionibacterium , Bradyrhizobium, Corynebacterium, Acinetobacter , Brevundimonas, Staphylococci , Aquabacterium , Sphingomonas , Streptococcus , Streptophyta, and Methylobacterium , although potential contamination may have influenced their identification [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ].…”
Section: Introductionmentioning
confidence: 99%
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