Evidence map›Paper›PMID 40005638›Full record

ReviewMicroorganisms2025

From Dysbiosis to Disease: The Microbiome's Influence on Uveitis Pathogenesis.

Priya D Samalia, Jahnvee Solanki, Joseph Kam, Lize Angelo, Rachael L Niederer

Abstract readReview
In one paragraph

Review in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

5 authors.

Priya D SamaliaHealth New Zealand Auckland, Auckland 1051, New Zealand.ORCID 0000-0003-0189-4707
Jahnvee SolankiHealth New Zealand Auckland, Auckland 1051, New Zealand.ORCID 0009-0007-5992-2535
Joseph KamHealth New Zealand Auckland, Auckland 1051, New Zealand.
Lize AngeloDepartment of Ophthalmology, University of Auckland, Auckland 1010, New Zealand.
Rachael L NiedererHealth New Zealand Auckland, Auckland 1051, New Zealand.ORCID 0000-0002-4311-859X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiome, comprising the diverse microbial communities inhabiting the human body, has emerged as a critical factor in regulating immune function and inflammation. The relationship between the microbiome and uveitis represents a promising frontier in ophthalmological research, with the microbiome increasingly implicated in disease onset and progression. Research has predominantly focused on the gut microbiome, with animal studies providing evidence that dysbiosis is a key factor in autoimmunity. As the understanding of the microbiome increases, so does the potential for developing innovative treatments that leverage the microbiome's impact on immune and inflammatory processes. Future research will be crucial for deciphering the complexities of the interaction between the microbiome and immune system and for creating effective microbiome-based therapies for those with uveitis. Incorporating microbiome research into clinical practice could transform how uveitis is managed, leading to better and more individualized approaches for management. This review discusses the current understanding of the microbiome-uveitis axis, the promise of microbiome-based diagnostics and therapeutics, and the critical need for large-scale, longitudinal studies. Unlocking the potential of microbiome-targeted approaches may revolutionize the management of uveitis and other inflammatory diseases.

Indexed as

dysbiosismicrobiomeT effector cellsT regulatory cellsuveitis

Identifiers

PMID40005638
PMCPMC11857511

What OpenQuestion holds

Textmetadata
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.