The shared biomarkers and immune landscape in psoriatic arthritis and rheumatoid arthritis: Findings based on bioinformatics, machine learning and single-cell analysis

Our study identified RPL22L1 and LY96 as key biomarkers for PsA and RA. Further investigations demonstrated that these two marker genes are closely associated with gap junction function, T cell infiltration, differentiation, and VEGF signaling. Collectively, these findings provide new insights into the diagnosis and treatment of PsA and RA.

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Publication Details

Journal
PLoS ONE
Published
2024-11-07
DOI
https://doi.org/10.1371/journal.pone.0313344
Citations
4
Primary Topic
Systemic Lupus Erythematosus Research
Type
article
Field-Weighted Citation Impact
1.88

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article

The shared biomarkers and immune landscape in psoriatic arthritis and rheumatoid arthritis: Findings based on bioinformatics, machine learning and single-cell analysis

Sheng Fang, Siyu Luo, Kai‐Yi Zhou, Qin‐Xiao Wang
4 citations
PLoS ONE
Systemic Lupus Erythematosus Research
1.88
article

The shared biomarkers and immune landscape in psoriatic arthritis and rheumatoid arthritis: Findings based on bioinformatics, machine learning and single-cell analysis

Sheng Fang, Siyu Luo, Kai‐Yi Zhou, Qin‐Xiao Wang
article en
4 citations

Abstract

Our study identified RPL22L1 and LY96 as key biomarkers for PsA and RA. Further investigations demonstrated that these two marker genes are closely associated with gap junction function, T cell infiltration, differentiation, and VEGF signaling. Collectively, these findings provide new insights into the diagnosis and treatment of PsA and RA.

PLoS ONEVol. 19(11)
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Chongqing Medical University
Good health and well-being
Openalex Percentile: Top 13%
Systemic Lupus Erythematosus Research
1.88
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