Evidence map›Paper›PMID 34369983›Full record

ArticleInvestigative ophthalmology & visual science2021

Understanding the Interactions Between the Ocular Surface Microbiome and the Tear Proteome.

Denise C Zysset-Burri, Irina Schlegel, Joel-Benjamin Lincke, Damian Jaggi, Irene Keller, Manfred Heller, Sophie Braga Lagache, Sebastian Wolf, Martin S Zinkernagel

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2021. 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
4.3field-weighted citation impact, top 5% 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, 36 citations in OpenAlex.

  1. Review
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  8. Ocular Surface Microbiota Alterations Following FS-LASIK and Their Association With Postoperative Dry Eye.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
  9. Review
  10. Toward the Characterization of the Human Core Ocular Surface Microbiome.Investigative ophthalmology & visual science · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Ocular surface microbiota alterations in patients with pterygium.Frontiers in cellular and infection microbiology · 2025
    Article
  15. Review
  16. Review
  17. Exploring the Ocular Surface Microbiome and Tear Proteome in Glaucoma.International journal of molecular sciences · 2024
    Article
  18. Article
  19. Article
  20. Article
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 3 institutions in 1 country.

Denise C Zysset-BurriDepartment of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Irina SchlegelDepartment of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Joel-Benjamin LinckeDepartment of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Damian JaggiDepartment of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Irene KellerDepartment for BioMedical Research, University of Bern, Bern, Switzerland.
Manfred HellerProteomics and Mass Spectrometry Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
Sophie Braga LagacheProteomics and Mass Spectrometry Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
Sebastian WolfDepartment of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Martin S ZinkernagelDepartment of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
University of Bern · CHSIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to explore the interplay between the ocular surface microbiome and the tear proteome in humans in order to better understand the pathogenesis of ocular surface-associated diseases. Methods: Twenty eyes from 20 participants were included in the study. The ocular surface microbiome was sequenced by whole-metagenome shotgun sequencing using lid and conjunctival swabs. Furthermore, the tear proteome was identified using chromatography tandem mass spectrometry. After compositional and functional profiling of the metagenome and functional characterization of the proteome by gene ontology, association studies between the ocular microbiome and tear proteome were assessed. Results: Two hundred twenty-nine taxa were identified with Actinobacteria and Proteobacteria being the most abundant phyla with significantly more Propionibacterium acnes and Staphylococcus epidermidis in lid compared to conjunctival swabs. The lid metagenomes were enriched in genes of the glycolysis lll and adenosine nucleotides de novo and L-isoleucine biosynthesis. Correlations between the phylum Firmicutes and fatty acid metabolism, between the genus Agrobacterium as well as vitamin B1 synthesis and antimicrobial activity, and between biosynthesis of heme, L-arginine, as well as L-citrulline and human vision were detected. Conclusions: The ocular surface microbiome was found to be associated with the tear proteome with a role in human immune defense. This study has a potential impact on the development of treatment strategies for ocular surface-associated diseases.

Indexed as

AgedBacteriaConjunctivaEye Infections, BacterialFemaleHumansMaleMicrobiotaMiddle AgedProteomeTearsProteome

Identifiers

PMID34369983
PMCPMC8354087
OpenAlexW3192943612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.