Evidence map›Paper›PMID 42259906›Full record

ArticleCommunications medicine2026

Profiling of ocular surface microbiome and its ocular types in children and adolescents.

Xiangtian Ling, Yuzhou Zhang, Christine H T Bui, Hei-Nga Chan, Yu Peng, Xiu Juan Zhang, Charlene C Yim, Jennifer Wing-Ki Yau, Ka Wai Kam, Patrick Ip and 6 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Xiangtian Ling *Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yuzhou Zhang *Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-8515-3388
Christine H T BuiDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Hei-Nga ChanDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yu PengDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xiu Juan ZhangDepartment of Ophthalmology, The University of Hong Kong, Hong Kong SAR, China.
Charlene C YimDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Jennifer Wing-Ki YauDepartment of Paediatrics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Ka Wai KamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Patrick IpDepartment of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Alvin L YoungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Kam Lun HonDepartment of Paediatrics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Clement C ThamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-4407-6907
Chi Pui PangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Li Jia ChenDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China. lijia_chen@cuhk.edu.hk.ORCID http://orcid.org/0000-0003-3500-5840
Jason C YamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China. yamcheuksing@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-2156-1486

Funding

Food and Health Bureau of the Government of the Hong Kong Special Administrative Region | Health and Medical Research Fund (HMRF) 11220206National Natural Science Foundation of China (National Science Foundation of China) 82425017 & 82171089
6 · The paper itself

Abstract

backgroundThe ocular surface microbiome is increasingly recognized for its role in eye health, but the complexity of its composition complicates personalized characterization. This study aims to define the ocular surface microbiome profile and identify distinct microbial community clusters, or Ocular Types, in a population of children and adolescents.

methodsIn this population-based, cross-sectional study, conjunctival swabs from children and adolescents were processed with 16S ribosomal RNA gene amplicon sequencing. Microbial clusters were determined using a partitioning around medoids clustering approach, validated through internal cross-comparison and external datasets. Functional profiles of the clusters were predicted from the sequencing data.

resultsHere we show that in 1246 samples from 1006 individuals aged 3 to 18 years, the predominant bacterial phyla are Proteobacteria (34.1%), Firmicutes (37.4%), and Actinobacteria (25.2%), with Staphylococcus, Corynebacterium, and Streptococcus as core microbiota. Five distinct Ocular Types are identified, characterized by the dominance of Staphylococcus, Corynebacterium, Streptococcus, uncultured Neisseriaceae, or Escherichia-Shigella. These Ocular Types demonstrate associations with host factors including age, ethnicity and ocular parameter, but not with sex. Functional prediction reveals considerable overlap in the metabolic pathways among the Ocular Types.

conclusionsThis study characterizes five distinct ocular surface microbiome types in pediatric population and establishes their association with host factors. These findings provide a structured framework for investigating microbial community dynamics and their potential implications for ocular health.

Identifiers

PMID42259906
PMCPMC13582937

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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.