Evidence map›Paper›PMID 36036910›Full record

ArticleInvestigative ophthalmology & visual science2022

Topical Glaucoma Therapy Is Associated With Alterations of the Ocular Surface Microbiome.

Chih-Chiun J Chang, Karina Somohano, Christine Zemsky, Anne-Catrin Uhlemann, Jeffrey Liebmann, George A Cioffi, Lama A Al-Aswad, Susan V Lynch, Bryan J Winn

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 37 citations in OpenAlex.

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  18. Exploring the Ocular Surface Microbiome and Tear Proteome in Glaucoma.International journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Chih-Chiun J ChangDepartment of Ophthalmology, University of California San Francisco, San Francisco, California, United States.
Karina SomohanoDepartment of Ophthalmology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, New York, United States.
Christine ZemskyDepartment of Ophthalmology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, New York, United States.
Anne-Catrin UhlemannDepartment of Internal Medicine, Division of Infectious Disease, Columbia University Medical Center, New York-Presbyterian Hospital, New York, New York, United States.
Jeffrey LiebmannDepartment of Ophthalmology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, New York, United States.
George A CioffiDepartment of Ophthalmology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, New York, United States.
Lama A Al-AswadDepartment of Ophthalmology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, New York, United States.
Susan V LynchDivision of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, California, United States.
Bryan J WinnDepartment of Ophthalmology, University of California San Francisco, San Francisco, California, United States.
NewYork–Presbyterian Hospital · USNew York Hospital Queens · USUniversity of California, San Francisco · USColumbia University Irving Medical Center · US

Funding

Rapid-Prototyping and Design CoreP30EY002162 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LAMBA, DEEPAK ASHOK · 1985 to 2024
$16.8M
NEI NIH HHS P30 EY002162
6 · The paper itself

Abstract

Purpose: To investigate the ocular surface microbiome of patients with unilateral or asymmetric glaucoma being treated with topical ophthalmic medications in one eye and to determine whether microbial community changes were related to measures of ocular surface disease. Methods: V3-V4 16S rRNA sequencing was conducted on ocular surface swabs collected from both eyes of 17 subjects: 10 patients with asymmetric/unilateral glaucoma using topical glaucoma therapy on only one eye and seven age-matched, healthy controls with no history of ocular disease or eyedrop use. Samples were categorized into three groups: patients' glaucomatous eye treated with eyedrops, patients' contralateral eye without eyedrops, and healthy control eyes. Comparisons were made for microbial diversity and composition, with differences in composition tested for association with ocular surface disease measures including tear meniscus height, tear break-up time, and Dry Eye Questionnaire. Results: Samples obtained from the patients' treated and untreated eyes both had significantly greater alpha-diversity and relative abundance of gram-negative organisms compared to healthy controls. The microbial composition of patient eyes was associated with decreased tear meniscus height and tear break-up time, whereas metagenomic predictions, based on 16S rRNA data, suggested increased synthesis of lipopolysaccharide. Conclusions: The ocular surface microbiome of patients taking unilateral preserved glaucoma drops is characterized by a highly diverse array of gram-negative bacteria that is significantly different from the predominantly gram-positive microbes detected on healthy control eyes. These compositional differences were associated with decreased tear film measures and distinct inferred protein synthesis pathways, suggesting a potential link between microbial alterations and ocular surface inflammation.

Indexed as

Dry Eye SyndromesGlaucomaMicrobiotaAntihypertensive AgentsHumansOphthalmic SolutionsRNA, Ribosomal, 16STearsAntihypertensive AgentsOphthalmic SolutionsRNA, Ribosomal, 16S

Identifiers

PMID36036910
PMCPMC9434984
OpenAlexW4293457926

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.