Evidence map›Paper›PMID 40572188›Full record

ReviewMicroorganisms2025

Overview of Microorganisms: Bacterial Microbiome, Mycobiome, Virome Identified Using Next-Generation Sequencing, and Their Application to Ophthalmic Diseases.

Kazunobu Asao, Noriyasu Hashida

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Current perspective on infectious uveitis.Indian journal of ophthalmology · 2026
    Review
  4. 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

2 authors.

Kazunobu AsaoDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan.ORCID 0009-0007-5691-0360
Noriyasu HashidaDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan.ORCID 0000-0002-8241-5378

Funding

the Japan Society for the Promotion of Science 21K09695 [to N.H.]the Japan Society for the Promotion of Science 23K15906 [to K.A.]
6 · The paper itself

Abstract

This review outlines technological advances in pathogen identification and describes the development and evolution of next-generation sequencers that can be applied to the ocular microbiome. Traditional methods such as culture and PCR have limitations in detecting the full spectrum of resident microorganisms, prompting a transition toward metagenomic analysis. As microbiome research expands across body systems, the comprehensive identification of ocular bacteria, fungi, and viruses has become possible. The commensal ocular microbiome may influence disease development through changes in the immune system and ocular environment. Next-generation sequencing enables detailed microbial profiling, aiding in disease diagnosis and treatment selection. Alterations in the microbiome may also induce metabolic changes, offering insights into novel treatment methods. This review outlines the evolution of next-generation sequencing technology, summarizes current knowledge of microorganisms found on the ocular surface and in intraocular fluid, and discusses future challenges and prospects. However, the large volume of microbiome data obtained must be interpreted with caution due to possible analytical biases. Furthermore, determining whether the microbiome is truly pathogenic requires comprehensive interpretation beyond the clinical findings and results of traditional identification methods.

Indexed as

infectious diseasesmicrobiomemycobiomenext-generation sequencingocularPCRvirome

Identifiers

PMID40572188
PMCPMC12195238

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.