Evidence map›Paper›PMID 32673387›Full record

ArticleInvestigative ophthalmology & visual science2020

Metagenomic Profiling of Ocular Surface Microbiome Changes in Meibomian Gland Dysfunction.

Fuxin Zhao, Dake Zhang, Chaoxiang Ge, Lei Zhang, Peter S Reinach, Xiangjun Tian, Chengcheng Tao, Zhelin Zhao, Chenchen Zhao, Wenjie Fu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.8field-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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  17. Dual Role ofMicroorganisms · 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

12 authors at 5 institutions in 2 countries.

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,.
Wenzhou Medical University · CNBeijing Institute of Genomics · CNAffiliated Eye Hospital of Wenzhou Medical College · CNChinese Academy of Sciences · CNThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: 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. Methods: 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. Results: 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. Conclusions: 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.

Indexed as

Campylobacter coliCampylobacter jejuniEnterococcus faeciumMeibomian Gland DysfunctionTearsAdultConjunctivaEyelidsFemaleGene Expression ProfilingHumansImmune EvasionMaleMetagenomicsMicrobiota

Identifiers

PMID32673387
PMCPMC7425691
OpenAlexW3042398279

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.