Evidence map›Paper›PMID 37671131›Full record

ArticleJournal of inflammation research2023

Identification and Analysis of Neutrophil Extracellular Trap-Related Genes in Osteoarthritis by Bioinformatics and Experimental Verification.

Tiankuo Luan, Xian Yang, Ge Kuang, Ting Wang, Jiaming He, Zhibo Liu, Xia Gong, Jingyuan Wan, Ke Li

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 30 citations in OpenAlex.

  1. The Role of Myeloperoxidase in Osteoarthritis and Its Potential Modulation by Resveratrol: An Integrated Study.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  6. Exosomes: critical mediator and therapeutic target for osteoarthritis.American journal of translational research · 2026
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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 3 institutions in 1 country.

Tiankuo Luan *Department of Anatomy, Chongqing Medical University, Chongqing, People's Republic of China.
Xian Yang *Department of Pharmacology, Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0001-8730-1479
Ge KuangDepartment of Anatomy, Chongqing Medical University, Chongqing, People's Republic of China.
Ting WangDepartment of Orthopedics, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Jiaming HeDepartment of Anatomy, Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0003-2912-4667
Zhibo LiuDepartment of Orthopedics, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Xia GongDepartment of Anatomy, Chongqing Medical University, Chongqing, People's Republic of China.
Jingyuan WanDepartment of Pharmacology, Chongqing Medical University, Chongqing, People's Republic of China.
Ke LiDepartment of Orthopedics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Chongqing Medical University · CNDalian Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoarthritis (OA) is a common joint disease with long-term pain and dysfunction that negatively affects the quality of life of patients. Neutrophil extracellular traps (NETs), consisting of DNA, proteins and cytoplasm, are released by neutrophils and play an important role in a variety of diseases. However, the relationship between OA and NETs is unclear. Methods: In our study, we used bioinformatics to explore the relationship between OA and NETs and the potential biological markers. GSE55235, GSE55457, GSE117999 and GSE98918 were downloaded from the Gene Expression Omnibus (GEO) database for subsequent analysis.After differential analysis of OA expression matrices, intersection with NET-related genes (NRGs) was taken to identify Differentially expressed NRGs (DE-NRGs) in OA processes. Evaluation of immune cell infiltration by ssGSEA and CIBERSORT algorithm. The GSVA method was used to analyze the activity changes of Neutrophils pathway, Neutrophil degranulation and Neutrophil granule constituents pathway. Results: Based on RandomForest (RF), Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) learning algorithms, five core genes (CRISPLD2, IL1B, SLC25A37, MMP9, and TLR7) were identified to construct an OA-related nomogram model for predicting OA progression. ROC curve results for these genes validated the nomogram's reliability. Correlation analysis, functional enrichment, and drug predictions were performed for the core genes. TLR7 emerged as a key focus due to its high importance ranking in RF and SVM-RFE analyses. Gene Set Enrichment Analysis (GSEA) revealed a strong association between TLR7 and the Neutrophil extracellular trap pathway. Expression of core genes was demonstrated in mice OA models and human OA samples. TLR7 expression in ATDC5 cell line was significantly higher than control after TNFα induction, along with increased IL6 and MMP13. Conclusion: TLR7 may be related to NETs and affects OA.

Indexed as

immune infiltrationmachine learning algorithmsneutrophil extracellular trapsosteoarthritisTLR7

Identifiers

PMID37671131
PMCPMC10476866
OpenAlexW4386273654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.