Evidence map›Paper›PMID 42319454›Full record

ReviewCurrent microbiology2026

From Health to Disease: A Comprehensive Review of Ocular Surface Microbiota and Detection Methods in Dry Eye.

Mengzhen Xie, Ying Jie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current microbiology, 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

2 authors.

Mengzhen XieBeijing Tongren Hospital, Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Capital Medical University, Beijing, 100005, China.
Ying JieBeijing Tongren Hospital, Beijing Institute of Ophthalmology, Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Capital Medical University, Beijing, 100005, China. jie_yingcn@aliyun.com.ORCID http://orcid.org/0000-0003-2649-8241

Funding

the National Natural Science Foundation of China 82371022
6 · The paper itself

Abstract

Dry eye disease (DED) is a prevalent and multifactorial condition that significantly impacts the ocular surface, characterized by symptoms of discomfort, visual disturbance, and tear film instability. Recent research has increasingly focused on the ocular surface microbiome (OSM) and its potential role in the pathogenesis and progression of DED. The OSM consists of a diverse community of microorganisms, including bacteria, fungi, and viruses, that interact with the host to maintain ocular surface health. Dysbiosis, or the imbalance of these microbial communities, has been linked to various ocular surface disorders, including DED. This review comprehensively summarizes the current understanding of the differences in OSM between healthy individuals and patients with different types of DED, such as aqueous-deficient dry eye, evaporative dry eye, and DED associated with autoimmune conditions. Additionally, it explores the detection methods used to study the OSM, highlighting the strengths and limitations of culture-based approaches, 16 S rRNA sequencing, metagenomic shotgun sequencing, and emerging technologies like 2bRAD-M. The review also outlines future research directions, emphasizing the need for advanced multi-omics approaches, personalized microbiome-based therapies, and longitudinal studies to further elucidate the role of the OSM in DED. By enhancing our understanding of the OSM composition and function, these insights may lead to innovative diagnostic and therapeutic strategies for managing DED.

Indexed as

Dry Eye SyndromesEyeMicrobiotaBacteriaFungiHumansTears

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.