Evidence map›Paper›PMID 39869087›Full record

ArticleInvestigative ophthalmology & visual science2025

Distinct Ocular Surface Microbiome in Keratoconus Patients Correlate With Local Immune Dysregulation.

Nimisha Rajiv Kumar, Pooja Khamar, Ramaraj Kannan, Archana Padmanabhan, Rohit Shetty, Sharon D'Souza, Tanuja Vaidya, Swaminathan Sethu, Arkasubhra Ghosh

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Update on the Physiopathology of Keratoconus.Medical sciences (Basel, Switzerland) · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
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.

Nimisha Rajiv KumarGROW Research Laboratory, Narayana Netralaya Foundation, Bangalore, India.
Pooja KhamarDepartment of Cornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India.
Ramaraj KannanGROW Research Laboratory, Narayana Netralaya Foundation, Bangalore, India.
Archana PadmanabhanGROW Research Laboratory, Narayana Netralaya Foundation, Bangalore, India.
Rohit ShettyDepartment of Cornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India.
Sharon D'SouzaDepartment of Cornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India.
Tanuja VaidyaGROW Research Laboratory, Narayana Netralaya Foundation, Bangalore, India.
Swaminathan SethuGROW Research Laboratory, Narayana Netralaya Foundation, Bangalore, India.
Arkasubhra GhoshGROW Research Laboratory, Narayana Netralaya Foundation, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Keratoconus (KC) is characterized by irregular astigmatism along with corneal stromal weakness and is associated with altered immune status. Tissue resident microbiomes are known to influence the immune status in other organs, but such a nexus has not been described in ocular conditions. Therefore, we examined the ocular surface microbiome of patients with KC and correlated it to the immune cell and tear molecular factor profiles. Methods: Sixty-two patients with KC and 21 healthy controls underwent corneal topography analysis and eye examination followed by a collection of Schirmer's strip, ocular surface wash, and ocular surface swabs. Microbiomes were analyzed by extracting DNA from the swabs followed by 16S rRNA gene V3-V4 amplicon sequencing and analyzed using QIIME. Fifty-two molecular factors from Schirmer's strip tear extracts and 11 immune cells from ocular wash were measured using multiplex ELISA and flow cytometry. Alpha diversity, linear discriminant analysis effect size (LEfSe), relative abundance and receiver operating characteristic - area under the curve (ROC-AUC) analysis were performed. Unsupervised clustering at the genus level with clinical parameters, soluble factors, and immune cells was performed. Results: Fifty-two phyla/class, 132 order, 283 family, and 718 genera were identified in our cohort. Alpha diversity indices were comparable between patients with KC and the healthy controls. Dominant phyla across groups were Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. Alphaproteobacteria increased in KC eyes whereas Actinobacteria, Firmicutes_Bacilli reduced compared with the healthy controls. We found a significant positive correlation of Microbacterium, Cutibacterium, and Brevundimonas genera abundance with keratometry and corneal thickness. Levels of IL-21, IL-9, Fractalkine, and VEGF positively correlated with Tetrasphaera (P < 0.05). β2-microglobulin and CD66bhigh cells correlated with Bacteroides (P < 0.05). CD45+ cells correlated with Escherichia_Shigella (P < 0.02). Conclusions: We discovered a unique microbiome signature of KC which correlated to disease grades and secreted molecular factors and immune cells. Therefore, the altered microbiome on the ocular surface may drive immune dysregulation in KC and provide scope for potential interventions in the future.

Indexed as

BacteriaCorneaKeratoconusMicrobiotaAdultCorneal TopographyDNA, BacterialEnzyme-Linked Immunosorbent AssayFemaleFlow CytometryHumansMaleMiddle AgedRNA, Ribosomal, 16STearsYoung AdultDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID39869087
PMCPMC11771523

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.