Identification of Synovial Fibroblast-Associated Neuropeptide Genes and m6A Factors in Rheumatoid Arthritis Using Single-Cell Analysis and Machine Learning.

Journal: Disease markers

PMID: 35186167

Abstract

OBJECTIVES: Synovial fibroblasts (SFs) play an important role in the development and progression of rheumatoid arthritis (RA). However, the pathogenic mechanism of SFs remains unclear. The objective of this study was to investigate how neuropeptides and N6-methyladenosine (m6A) played an important role in the underlying pathogenic processes of SFs that contribute to the development of RA.

Authors

Jianwei Xiao

Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, 26 Shengli Avenue, Jiangan, Wuhan, 430014, Hubei, China.
Xu Cai

Shenzhen Futian Hospital for Rheumatic Diseases, China.
Rongsheng Wang

Macao Polytechnic university, Faculty of Applied Sciences, Macau, China.
Weijian Zhou

Rheumatism Dept. Yunnan Provincial Hospital of Traditional Chinese Medicine, China.
Zhizhong Ye

Shenzhen Futian Hospital for Rheumatic Diseases, China.

Keywords

Adenosine Arthritis, Rheumatoid Fibroblasts Humans Machine Learning Neuropeptides Single-Cell Analysis Synovial Membrane

External Resources

View on PubMed Access via DOI PubMed (35186167)

Identification of Synovial Fibroblast-Associated Neuropeptide Genes and m6A Factors in Rheumatoid Arthritis Using Single-Cell Analysis and Machine Learning.

Abstract

Authors

Keywords

External Resources

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