Evidence map›Paper›PMID 38087200›Full record

ArticleBMC microbiology2023

Alterations of conjunctival microbiota associated with orthokeratology lens wearing in myopic children.

Ju Zhang, Xiuhai Lu, Zhiwei Cheng, Dulei Zou, Weiyun Shi, Ting Wang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06638606 (Microbiota Profiles in Newly Married Couples), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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.

NCT06638606 completednot on this mapstarted 2024, after this paper: background citation

Microbiota Profiles in Newly Married Couples: Potential Effects on Vision, Sleep and Psychometric Parameters

TypeobservationalSponsorReza RastmaneshRan2024 to 2024Enrolled1,740ConditionsSleep Deprivation, Gut Microbiota, Optometry Examinations, Oral MicrobiotaArmsSleep improvement techniques
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Ju Zhang *Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Xiuhai Lu *Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, China.
Zhiwei ChengEye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, China.
Dulei ZouEye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, China.
Weiyun ShiEye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, China. weiyunshi@163.com.
Ting WangEye Hospital of Shandong First Medical University (Shandong Eye Hospital), 372 Jingsi Road, Jinan, 250021, China. wt-ting@163.com.
Shandong Eye Hospital · CNQingdao University · CN

Funding

National Natural Science Foundation Regional Innovation and Development Joint Fund U20A20386Taishan Scholar Foundation of Shandong Province tsqn201909188
6 · The paper itself

Abstract

backgroundOrthokeratology (OK) lens wear increases the risk of bacterial infection, but little is known about the microbiota of the conjunctival sac in myopic children wearing OK lenses. This study aimed to investigate the changes of conjunctival microbiota in children after treatment with OK lenses using 16 S rDNA sequencing.

methodsTwenty-eight myopic children who had been continuously wearing OK lenses for 12 to 13 months were enrolled in this prospective study. Twenty-two gender- and age-matched myopic children who had not worn OK lenses or discontinued OK lens wear at least 1 year ago were recruited as controls. Conjunctival swabs from each participant were collected for exploration of the microbiota profiles, targeting the V3-V4 regions of the 16 S rRNA gene by MiSeq sequencing. The differences in the microbial community structure and diversity were also compared between groups.

resultsThe bacterial alpha diversity indices in the OK lens group were not different from those in the non-wearer group (P > 0.05, Wilcoxon test), while beta diversity examined using principle coordinate analysis of unweighted UniFrac divided the two groups into different clusters. Proteobacteria, Bacteroidetes, and Firmicutes were the abundant phyla in the conjunctival sac microbiota in both groups (P < 0.05, Mann-Whitney U test). Among children in the OK lens group, the Linear discriminant analysis Effect Size identified the compositional changes in OK lens-associated bacteria. Key functional genera such as Blautia, Parasutterella, and Muribaculum were enriched, whereas Brevundimonas, Acinetobacter, Proteus, and Agathobacter decreased significantly (P < 0.05, Mann-Whitney U test). Phylogenetic investigation of communities by reconstruction of unobserved states also showed altered bacterial metabolic pathways in OK lens-associated microbiota. Moreover, using receiver operating characteristic curves, Brevundimonas, Acinetobacter, Proteus, and Agathobacter alone (the area under the curve was all > 0.7500) or in combination (the area under the curve was 0.9058) were revealed to discriminate OK lens wearers from controls.

conclusionsThe relative abundance of the microbial community in the conjunctival sac of myopic children can alter after OK lens wear. Brevundimonas, Acinetobacter, Proteus, and Agathobacter may be candidate biomarkers to distinguish between OK lens wearers and non-wearers.

Indexed as

Contact LensesMicrobiotaMyopiaBacteriaChildHumansPhylogenyProspective Studies16S rDNA gene sequencingAcinetobacterBrevundimonasConjunctiva sacGenomicsMicrobiomeOrthokeratology lensesProteus

Identifiers

PMID38087200
PMCPMC10717905
OpenAlexW4389639133

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.