Evidence map›Paper›PMID 35002293›Full record

ArticleInternational journal of general medicine2021

Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis.

Chengyang Tang, Qiang Liu, Yaxuan Zhang, Guihu Liu, Guangsi Shen

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. 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
1.7field-weighted citation impact, top 15% 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, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. RNA-binding proteins regulate osteoarthritis via RNA metabolism regulation.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  7. Innate Immunity and Synovitis: Key Players in Osteoarthritis Progression.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Identification of Key Diagnostic Markers and Immune Infiltration in Osteoarthritis.Combinatorial chemistry & high throughput screening · 2023
    Article
  11. Article
  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

5 authors at 3 institutions in 1 country.

Chengyang Tang *Department of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Qiang Liu *Institution of Sports Medicine, Peking University Third Hospital, Beijing Key Laboratory of Sports Injuries, Beijing, People's Republic of China.
Yaxuan ZhangDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Guihu LiuDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Guangsi ShenDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Soochow University · CNPeking University · CNSecond Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOsteoarthritis (OA) is the most common chronic joint disorder in elderly individuals. This study aimed to identify immune-related diagnostic gene signatures for OA.

methodsFirst, we performed single-sample gene set enrichment analysis (ssGSEA) to evaluate the infiltration of immune cells in OA expression data from the Gene Expression Omnibus (GEO) database. Then, weighted gene coexpression network analysis (WGCNA) was performed to identify hub modules and genes related to immune cell types with significant infiltration. Finally, we screened diagnostic markers from the differentially expressed genes (DEGs) in both the OA group and the hub module using least absolute shrinkage and selection operator (LASSO) logistic regression.

resultsImmune filtration analysis showed that immature B cells, mast cells, natural killer T cells, myeloid-derived suppressor cells (MDSCs), and type 2 T helper cells were dysregulated in OA samples. In WGCNA, a total of 120 genes were selected as hub genes associated with mast cell infiltration.The enrichment analysis showed that spliceosome, positive regulation of cell migration, and response to mechanical stimulus were mainly involved. The LASSO regression model for the GSE117999 dataset revealed 15 DEGs for predicting OA. Finally, two genes were obtained by intersection for further investigation.

conclusionCold-inducible RNA-binding protein (CIRBP) and transient receptor potential vanilloid 4 (TRPV4) were identified as diagnostic biomarkers for OA, and both were positively correlated with mast cell infiltration.

Indexed as

bioinformatics analysisimmune infiltrationosteoarthritisWGCNA

Identifiers

PMID35002293
PMCPMC8728929
OpenAlexW4200120082

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Registered trials

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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.