Evidence map›Paper›PMID 25997411›Full record

ArticleInternational journal of molecular medicine2015

Gene set enrichment analysis of pathways and transcription factors associated with diabetic retinopathy using a microarray dataset.

Kan He, Wenwen Lv, Qing Zhang, Yuqing Wang, Liming Tao, Dahai Liu

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Diabetic Retinopathy: From Animal Models to Cellular Signaling.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 2 institutions in 1 country.

Kan HeCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, Anhui 230601, P.R. China.
Wenwen LvCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, Anhui 230601, P.R. China.
Qing ZhangDepartment of Ophthalmology, The Second Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Yuqing WangCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, Anhui 230601, P.R. China.
Liming TaoDepartment of Ophthalmology, The Second Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Dahai LiuCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, Anhui 230601, P.R. China.
Anhui University · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic retinopathy (DR) is a serious microvascular complication of diabetes, which causes visual disability and blindness. Several studies have used gene expression profiling of DR to identify the key genes involved in this process; however, few studies have focused on the associated pathways and transcription factors (TFs), or on the co-expression patterns at the multiple pathways level. In this study, we employed a microarray dataset from the public database library of the Gene Expression Omnibus (GEO) associated with DR and applied gene set enrichment analysis (GSEA) to this dataset and performed candidate TF selection. As a result, 10 upregulated pathways, including the type I diabetes mellitus and peroxisome proliferator-activated receptor (PPAR) signaling pathways, as well as 59 downregulated pathways, including the ErbB signaling pathway and the mammalian target of rapamycin (mTOR) signaling pathway, were identified as DR‑related pathways. The majority of these pathways have been previously identified, but some were novel. Finally, co-expression networks of related pathways were constructed using the significant core genes and TFs, such as PPARγ and SMAD4. The results of our study may enhance our understanding of the molecular mechanisms associated DR at the genome-wide level.

Indexed as

Databases, ProteinDiabetes Mellitus, Type 1Diabetic RetinopathyErbB ReceptorsGene Expression ProfilingGene Regulatory NetworksHumansOligonucleotide Array Sequence AnalysisPeroxisome Proliferator-Activated ReceptorsPPAR gammaSignal TransductionSmad4 ProteinTOR Serine-Threonine KinasesTranscription FactorsErbB ReceptorsMTOR protein, humanPeroxisome Proliferator-Activated ReceptorsPPAR gammaSmad4 ProteinSMAD4 protein, humanTOR Serine-Threonine KinasesTranscription Factors

Identifiers

PMID25997411
PMCPMC4494587
OpenAlexW1620578125

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.