Evidence map›Paper›PMID 37026304›Full record

ArticleIndian journal of ophthalmology2023

Ocular conjunctival microbiome profiling in dry eye disease: A case control pilot study.

Noopur Gupta, Jyoti Chhibber-Goel, Yogita Gupta, Souvik Mukherjee, Arindam Maitra, Amit Sharma, Radhika Tandon

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. 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
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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  14. Article
  15. Role of ocular surface microbiome in health and disease.Indian journal of ophthalmology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Noopur GuptaDr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.
Jyoti Chhibber-GoelMolecular Medicine, International Centre for Genetic Engineering and Biotechnology, New Delhi, India.
Yogita GuptaDr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.
Souvik MukherjeeNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Arindam MaitraNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Amit SharmaMolecular Medicine, International Centre for Genetic Engineering and Biotechnology; ICMR-National Institute of Malaria Research, New Delhi, India.
Radhika TandonDr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INNational Institute of Biomedical Genomics · INInternational Centre for Genetic Engineering and Biotechnology · INNational Institute of Malaria Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Keratoconjunctivitis sicca (KCS) or dry eye disease (DED) is a multifactorial disease that results in discomfort, visual disturbance, and tear film instability with potential damage to the ocular surface. A pilot study was undertaken to determine if there were any major substantial differences in the ocular microbiome in DED patients versus healthy controls. Methods: The bacterial communities residing in the conjunctiva of patients with DED (n = 4) and healthy controls (n = 4) were assessed by 16S ribosomal RNA (rRNA) gene sequencing of the V4-V5 region. Results: The phyla Proteobacteria, Actinobacteria, Bacteroidetes, and Firmicutes were most dominant and accounted for 97% and 94.5% of all bacterial sequences in patients and controls, respectively. At the genus level, 27 bacterial genera were found with more than two-fold difference between patients and controls. Four of these - Acinetobacter, Corynebacterium, Lactobacillus, and Pseudomonas spp. - dominated the ocular microbiome of all subjects, but were proportionately lower in DED (16.5%) compared to controls (37.7%). Several bacterial genera were found to be unique in DED (34) and controls (24). Conclusion: This pilot study is an attempt to profile the ocular microbiome in patients with DED that demonstrated a higher concentration of microbial DNA compared to controls, with Firmicutes phyla dominating the bacterial population in patients with DED.

Indexed as

Dry Eye SyndromesMicrobiotaBacteriaCase-Control StudiesConjunctivaHumansPilot ProjectsTears16S rRNAconjunctivadry eye diseaseocular microbiomeocular surface

Identifiers

PMID37026304
PMCPMC10276740
OpenAlexW4362691816

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.