ArticleBMC immunology2022
STAT3 and SPI1, may lead to the immune system dysregulation and heterotopic ossification in ankylosing spondylitis.
Article in BMC immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- The inhibition of miR-125b-5P prevented Treg differentiation through activating STAT3/HIF-1α pathway in PBMCs of ankylosing spondylitis.Arthritis research & therapy · 2026Article
- Single cell RNA-seq analysis associates Osm signaling in macrophages with osteogenic differentiation during heterotopic ossification.Journal of orthopaedic surgery and research · 2025Article
- SPI1 triggers the formation of neutrophil extracellular traps in multiple sclerosis through CXCL4.Journal of molecular histology · 2025Article
- A Developmental Gene Expression Atlas Reveals Novel Biological Basis of Complex Phenotypes in Sheep.Genomics, proteomics & bioinformatics · 2025Article
- Integrative transcriptome analysis identifies a crotonylation gene signature for predicting prognosis and drug sensitivity in hepatocellular carcinoma.Journal of cellular and molecular medicine · 2024Article
- Causal Effects of Rheumatoid Arthritis, Ankylosing Spondylitis, Juvenile Idiopathic Arthritis on Psoriasis: A Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2024Article
- SPI1 Regulates the Progression of Ankylosing Spondylitis by Modulating TLR5 via NF-κB Signaling.Inflammation · 2023Article
- Identification of potential biomarkers for ankylosing spondylitis based on bioinformatics analysis.BMC musculoskeletal disorders · 2023Article
- Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study was aimed to identify the biomarkers for diagnosis and reveal the immune microenvironment changes in ankylosing spondylitis (AS).
methodsGSE73754 was downloaded for the co-expression network construction and immune cell analyses. Flow cytometric analysis was performed to validate the results of bioinformatics analysis. Gene set enrichment analysis (GSEA) was performed to investigate the potential biological characteristic between different phenotypes. Pearson correlation analysis between the hub genes and the xCell score of immune cell types was performed.
resultsSignal transducer and activator of transcription 3 (STAT3) and Spi-1 proto-oncogene (SPI1) was identified as the hub genes in the datasets GSE73754. And the t-test showed that the expression level of STAT3 and SPI1 in the GSE73754 was significantly higher in AS and human leukocyte antigen (HLA)-B27(+) groups. Flow cytometric analysis showed that natural killer T cells (NKT) cells were upregulated, while Th1 cells were down-regulated in AS, which was consistent with the results obtained from bioinformatics analysis. STAT3 and SPI1 was correlated with the NKT cells and Th1 cells.
conclusionSTAT3 and SPI1 may be a key cytokine receptor in disease progression in AS.
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