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

Journal: PloS one

PMID: 39509434

Abstract

OBJECTIVE: Psoriatic arthritis (PsA) and rheumatoid arthritis (RA) are the most common types of inflammatory musculoskeletal disorders that share overlapping clinical features and complications. The aim of this study was to identify shared marker genes and mechanistic similarities between PsA and RA.

Authors

Kaiyi Zhou

Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Siyu Luo

Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qinxiao Wang

Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sheng Fang

Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Keywords

Arthritis, Psoriatic Arthritis, Rheumatoid Biomarkers Computational Biology Gene Expression Profiling Gene Regulatory Networks Humans Machine Learning Single-Cell Analysis Transcription Factors

External Resources

View on PubMed Access via DOI PubMed (39509434)

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

Abstract

Authors

Keywords

External Resources

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