Evidence map›Paper›PMID 29515160›Full record

ArticleScientific reports2018

Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid.

Philipp Kirstahler, Søren Solborg Bjerrum, Alice Friis-Møller, Morten la Cour, Frank M Aarestrup, Henrik Westh, Sünje Johanna Pamp

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
10.8field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Review
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  6. Complete genome analysis ofMicrobiology resource announcements · 2025
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  9. Draft genome sequences ofMicrobiology resource announcements · 2025
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  13. Article
  14. Next-Generation Sequencing of the Human Aqueous Humour Microbiome.International journal of molecular sciences · 2024
    Article
  15. Article
  16. Article
  17. American journal of ophthalmology case reports · 2023
    Article
  18. Article
  19. GenomeFLTR: filtering reads made easy.Nucleic acids research · 2023
    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

7 authors at 3 institutions in 1 country.

Philipp KirstahlerResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.
Søren Solborg BjerrumDepartment of Ophthalmology, Rigshospitalet, Glostrup, Denmark.
Alice Friis-MøllerDepartment of Clinical Microbiology, Hvidovre Hospital, Copenhagen, Denmark.
Morten la CourDepartment of Ophthalmology, Rigshospitalet, Glostrup, Denmark.
Frank M AarestrupResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.
Henrik WesthDepartment of Clinical Microbiology, Hvidovre Hospital, Copenhagen, Denmark.
Sünje Johanna PampResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark. sjpa@food.dtu.dk.
Technical University of Denmark · DKHvidovre Hospital · DKRigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in genomics have the potential to revolutionize clinical diagnostics. Here, we examine the microbiome of vitreous (intraocular body fluid) from patients who developed endophthalmitis following cataract surgery or intravitreal injection. Endophthalmitis is an inflammation of the intraocular cavity and can lead to a permanent loss of vision. As controls, we included vitreous from endophthalmitis-negative patients, balanced salt solution used during vitrectomy and DNA extraction blanks. We compared two DNA isolation procedures and found that an ultraclean production of reagents appeared to reduce background DNA in these low microbial biomass samples. We created a curated microbial genome database (>5700 genomes) and designed a metagenomics workflow with filtering steps to reduce DNA sequences originating from: (i) human hosts, (ii) ambiguousness/contaminants in public microbial reference genomes and (iii) the environment. Our metagenomic read classification revealed in nearly all cases the same microorganism that was determined in cultivation- and mass spectrometry-based analyses. For some patients, we identified the sequence type of the microorganism and antibiotic resistance genes through analyses of whole genome sequence (WGS) assemblies of isolates and metagenomic assemblies. Together, we conclude that genomics-based analyses of human ocular body fluid specimens can provide actionable information relevant to infectious disease management.

Indexed as

BacteriaEndophthalmitisPostoperative ComplicationsAqueous HumorBacterial Typing TechniquesCataract ExtractionDNA, BacterialFemaleGenomicsHumansIntravitreal InjectionsMaleMiddle AgedDNA, Bacterial

Identifiers

PMID29515160
PMCPMC5841358
OpenAlexW2949511413

What OpenQuestion holds

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LicenceCC BY
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.