Evidence map›Paper›PMID 37810027›Full record

ArticleHeliyon2023

Identification of EGFR as an essential regulator in chondrocytes ferroptosis of osteoarthritis using bioinformatics,

Hong Sun, Guoxuan Peng, Kunhao Chen, Zhilin Xiong, Yong Zhuang, Miao Liu, Xu Ning, Hua Yang, Jin Deng

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Ferroptosis in Arthritis: Driver of the Disease or Therapeutic Option?International journal of molecular sciences · 2024
    Review
  10. Article
  11. Review
  12. 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

9 authors at 2 institutions in 1 country.

Hong SunDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Guoxuan PengDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Kunhao ChenDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Zhilin XiongDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Yong ZhuangDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Miao LiuDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Xu NingDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Hua YangDepartment of Orthopaedics, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Jin DengDepartment of Emergence Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Affiliated Hospital of Guizhou Medical University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The mechanisms of chondrocytes ferroptosis in osteoarthritis (OA) have not yet been fully elucidated. This study aimed to identify key ferroptosis related genes (FRGs) involved in chondrocytes ferroptosis. Methods: LASSO, SVM-RFE, and receiver operating characteristic curve (ROC) were performed to screen key differentially expressed FRGs (DEFRGs). Functional analyses were conducted using GO, and KEGG analyses. Unsupervised clustering analysis was used to identify ferroptosis related patterns. The CeRNA network was constructed to predict the upstream miRNAs and lncRNAs. Finally, we validated the role of EGFR in chondrocytes ferroptosis using Results: A total of 42 DEFRGs were identified between OA and normal cartilages. GO and KEGG analyses indicated that these DEFRGs were significantly engaged in ferroptosis related biological processes and pathways, such as cellular response to oxidative stress, positive regulation of programmed cell death, MAPK and PI3K-Akt signaling pathways. Moreover, four key DEFRGs, including ACSF2, AURKA, EGFR, and KLHL24, were considered as potential biomarkers of OA. Moreover, two distinct ferroptosis related patterns were determined, and a total of 882 differentially expressed genes were identified which might participate in extracellular matrix degradation and inflammatory response. In addition, the CeRNA network showed that EGFR could be competitively regulated by 3 lncRNAs and 4 miRNAs. Significantly, the expression of EGFR was downregulated in human OA cartilages, OA mouse model, and erastin induced chondrocytes. EGFR inhibition could induce the occurrence of chondrocytes ferroptosis and ECM degradation which could be reversed by the addition of Ferrostatin-1. Conclusion: Our study has identified ACSF2, AURKA, EGFR, and KLHL24 as ferroptosis-related biomarkers in OA. Furthermore, we have conducted a preliminary investigation into the role of EGFR in regulating chondrocytes ferroptosis. These findings offer novel insights into the molecular mechanisms underlying OA.

Indexed as

BiomarkersCompeting endogenous RNAEGFRFerroptosisFerroptosis related patternsOsteoarthritis

Identifiers

PMID37810027
PMCPMC10559678
OpenAlexW4386580867

What Socratic 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 Socratic graph.