Evidence mapPaperPMID 37249237Full record

ArticleInternational wound journal2023

Identification and verification of ferroptosis-related genes in diabetic foot using bioinformatics analysis.

Xiaoxiang Wang, Shangtai Dai, Wenlian Zheng, Wentao Chen, Jiehua Li, Xiaodong Chen, Sitong Zhou, Ronghua Yang

Open access · goldAbstract read
In one paragraph

Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Emerging Roles of Ferroptosis in Skin Pathophysiology.The Journal of investigative dermatology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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 4 institutions in 1 country.

Xiaoxiang WangThe First Clinical Medical College, Guangdong Medical University, Zhanjiang, China.
Shangtai DaiMedical school, Kunming University of Science and Technology, The First People's Hospital of Yunnan Province, Kunming, China.
Wenlian ZhengThe First Clinical Medical College, Guangdong Medical University, Zhanjiang, China.
Wentao ChenThe First Clinical Medical College, Guangdong Medical University, Zhanjiang, China.
Jiehua LiDepartment of Dermatology, The First People's Hospital of Foshan, Foshan, China.
Xiaodong ChenDepartment of Burn Surgery and Skin Regeneration, The First People's Hospital of Foshan, Foshan, China.
Sitong ZhouDepartment of Dermatology, The First People's Hospital of Foshan, Foshan, China.
Ronghua YangDepartment of Burn and Plastic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
First People's Hospital of Foshan · CNGuangdong Medical College · CNFirst People's Hospital of Yunnan Province · CNGuangzhou First People's Hospital · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515011453Guangdong Basic and Applied Basic Research Foundation 2021B1515120036Guangdong Basic and Applied Basic Research Foundation 2022A1515012160Guangdong Basic and Applied Basic Research Foundation 2022A1515012245Medical Scientific Research Foundation of Guangdong Province A2022293National Natural Science Foundation of China 82002913National Natural Science Foundation of China 82272276
6 · The paper itself

Abstract

Ferroptosis is a novel form of cell death that plays a key role in several diseases, including inflammation and tumours; however, the role of ferroptosis-related genes in diabetic foot remains unclear. Herein, diabetic foot-related genes were downloaded from the Gene Expression Omnibus and the ferroptosis database (FerrDb). The least absolute shrinkage and selection operator regression algorithm was used to construct a related risk model, and differentially expressed genes were analysed through immune infiltration. Finally, we identified relevant core genes through a protein-protein interaction network, subsequently verified using immunohistochemistry. Comprehensive analysis showed 198 genes that were differentially expressed during ferroptosis. Based on functional enrichment analysis, these genes were primarily involved in cell response, chemical stimulation, and autophagy. Using the CIBERSORT algorithm, we calculated the immune infiltration of 22 different types of immune cells in diabetic foot and normal tissues. The protein-protein interaction network identified the hub gene TP53, and according to immunohistochemistry, the expression of TP53 was high in diabetic foot tissues but low in normal tissues. Accordingly, we identified the ferroptosis-related gene TP53 in the diabetic foot, which may play a key role in the pathogenesis of diabetic foot and could be used as a potential biomarker.

Indexed as

Diabetes MellitusDiabetic FootFerroptosisAlgorithmsAutophagyComputational BiologyHumansbioinformatics analysisdiabetic footferroptosisinflammatory reactionTP53

Identifiers

PMID37249237
PMCPMC10502281
OpenAlexW4378745147

What Socratic holds

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LicenceCC BY-NC
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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.