Evidence map›Paper›PMID 33344052›Full record

ArticleTranslational vision science & technology2020

Quantitative Proteomics and Weighted Correlation Network Analysis of Tear Samples in Adults and Children With Diabetes and Dry Eye.

Xinrong Zou, Shanshan Wang, Pei Zhang, Lina Lu, Haidong Zou

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  7. Article
  8. Tear proteomics in dry eye disease.Indian journal of ophthalmology · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Ocular Surface Microbiota in Diabetic Patients With Dry Eye Disease.Investigative ophthalmology & visual science · 2021
    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

5 authors at 4 institutions in 1 country.

Xinrong ZouDepartment of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai, China.
Shanshan WangDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Pei ZhangDepartment of Ophthalmology, Gonghui Hospital, Jingan District, Shanghai, China.
Lina LuDepartment of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai, China.
Haidong ZouDepartment of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai, China.
Shanghai Eye Disease Prevention & Treatment Center · CNSecond Military Medical University · CNShanghai First People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Diabetics are more prone to suffer from dry eye (DE). The ages of diabetes are decreasing, so ocular surface status in younger generations is worthy of attention. We used tandem mass tag (TMT)-labeled proteomics and weighted correlation network analysis (WGCNA) to identify differentially expressed proteins in the tear proteome of adults and children with diabetic DE. Methods: Study subjects were divided into six groups of 10, including three groups each for adults and children. The adult groups included diabetics with DE (A), diabetics without DE (B), and normal controls (C); the corresponding groups of children were identified as (D), (E), and (F). DE tests were performed on all subjects. We extracted total proteins and labeled them with TMTs for analysis. WGCNA was used to recognize hub genes. Results: Tear film function was poorer in patients with diabetic DE. In adults, 1922 proteins were identified, and WGCNA analysis revealed three hub genes related to diabetic DE. For children, 2709 proteins were identified, and WGCNA analysis identified one hub gene related to diabetic DE. Kyoto Encyclopedia of Genes and Genomes analysis found similarities among metabolic pathways involved in differential expression of proteins in adult and child tear samples. Conclusions: The pathogenesis of diabetic DE was highly similar in adults and children. The differentially expressed tear proteins in type 2 diabetes of adults and children was associated with inflammation, immune factors, and lipid metabolism. Translational Relevance: Our findings found high similarities in the pathogenesis of diabetic DE in adults and children.

Indexed as

Diabetes Mellitus, Type 2Dry Eye SyndromesAdultChildHumansProteomicsTearsadultschildrendiabetesdry eyetear proteomicsWGCNA

Identifiers

PMID33344052
PMCPMC7718812
OpenAlexW3110671166

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.