Evidence map›Paper›PMID 37261381›Full record

ArticleTranslational vision science & technology2023

Metagenome Investigation of Ocular Microbiota of Cataract Patients With and Without Type 2 Diabetes.

Zheng Shao, Xiaona Shan, Lili Jing, Weina Wang, Wenfeng Li, Zhichao Ren, Bi Ning Zhang, Yusen Huang

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% 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.

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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

8 authors at 3 institutions in 1 country.

Zheng ShaoSchool of Clinical Medicine, Weifang Medical University, Weifang, China.
Xiaona ShanEye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China.
Lili JingEye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China.
Weina WangEye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China.
Wenfeng LiDepartment of Medical Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zhichao RenEye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China.
Bi Ning ZhangEye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China.
Yusen HuangEye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China.
Shandong Eye Hospital · CNQingdao University · CNWeifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Our objective was to investigate differences in the ocular surface bacterial composition in cataract patients with and without type 2 diabetes (T2D). Methods: Twenty-four diabetic patients with cataracts (group D) and 14 sex- and age-matched patients with age-related cataracts (group N) were recruited for this study. All samples underwent DNA extraction, fragmentation, purification, library construction, and metagenomic sequencing. Results: The overall conjunctival sac bacterial composition was similar between group D and group N, as determined by alpha diversity and beta diversity. Nevertheless, significant differences were observed in the relative abundance of specific bacteria. At the phylum level, group D had a significantly lower abundance of Chlamydiae, Tenericutes, Chloroflexi, Cyanobacteria, Cossaviricota, Chytridiomycota, Artverviricota, Zoopagomycota, Peploviricota, Deinococcus-Thermus, Preplasmiviricota, and Nucleocytoviricota. At the genus level, group D had a significantly lower abundance of Chlamydia, Mycoplasma, Salmonella, Chryseobacterium, Roseovarius, Desulfococcus, Kangiella, Anaerococcus, and Idiomarina but a significantly higher abundance of Parabacteroides, Phocaeicola, and Sphingomonas. Bacteria such as Aquificae, Parabacteroides, Flavobacterium, Austwickia, Aquifex, Tenacibaculum, and Chryseobacterium in group D and Tenericutes, Chlamydiae, Porphyromonas, Mycoplasma, Chlamydia, Kangiella, Idiomarina, Roseovarius, Aliiroseovarius, and Desulfococcus in group N could be used as conjunctival sac biomarkers, according to the linear discriminant analysis effect size. Gene Ontology functional annotation indicated that bacterial catalytic activity, metabolic processes, locomotion, virion, and reproduction were enriched in group D, while immune system processes were enriched in group N. In addition, the top 30 differentially expressed virulence factors (VFs) were all more enriched in group D. Conclusions: The bacterial composition was similar between the two groups. Several bacterial strains that were reported beneficial in gut were decreased, and pathogenic bacteria were increased in T2D. Furthermore, group D had more active bacterial terms and increased VF expression, suggesting that the susceptibility of diabetic patients to infection is closely related to functional changes in the ocular surface flora. Our conjunctival microbiota atlas provides a reference for investigating ocular complications related to diabetes. Translational Relevance: The altered composition and functional profile of the ocular microbial community in diabetic patients offer evidence for the need to prevent infection during cataract surgery.

Indexed as

CataractDiabetes Mellitus, Type 2MicrobiotaBacteriaConjunctivaFemaleHumansMaleMetagenome

Identifiers

PMID37261381
PMCPMC10241314
OpenAlexW4378953222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.