Feedback

Therapeutic potential of Coptis chinensis for arthritis with underlying mechanisms

Affiliation
Haihe Laboratory of Modern Chinese Medicine ,Tianjin ,China
Li, Mengyuan;
Affiliation
Haihe Laboratory of Modern Chinese Medicine ,Tianjin ,China
Tian, Fei;
Affiliation
Haihe Laboratory of Modern Chinese Medicine ,Tianjin ,China
Guo, Jinling;
Affiliation
School of Chinese Materia Medica ,Tianjin University of Traditional Chinese Medicine ,Tianjin ,China
Li, Xiankuan;
Affiliation
School of Chinese Materia Medica ,Tianjin University of Traditional Chinese Medicine ,Tianjin ,China
Ma, Lin;
Affiliation
Haihe Laboratory of Modern Chinese Medicine ,Tianjin ,China
Jiang, Miaomiao;
Affiliation
Haihe Laboratory of Modern Chinese Medicine ,Tianjin ,China
Zhao, Jing

Arthritis is a common degenerative disease of joints, which has become a public health problem affecting human health, but its pathogenesis is complex and cannot be eradicated. Coptis chinensis (CC) has a variety of active ingredients, is a natural antibacterial and anti-inflammatory drug. In which, berberine is its main effective ingredient, and has good therapeutic effects on rheumatoid arthritis (RA), osteoarthritis (OA), gouty arthritis (GA). RA, OA and GA are the three most common types of arthritis, but the relevant pathogenesis is not clear. Therefore, molecular mechanism and prevention and treatment of arthritis are the key issues to be paid attention to in clinical practice. In general, berberine, palmatine, coptisine, jatrorrhizine, magnoflorine and jatrorrhizine hydrochloride in CC play the role in treating arthritis by regulating Wnt1/β-catenin and PI3K/AKT/mTOR signaling pathways. In this review, active ingredients, targets and mechanism of CC in the treatment of arthritis were expounded, and we have further explained the potential role of AHR, CAV1, CRP, CXCL2, IRF1, SPP1, and IL-17 signaling pathway in the treatment of arthritis, and to provide a new idea for the clinical treatment of arthritis by CC.

Graphical Abstract

Cite

Citation style:
Could not load citation form.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

Rights

License Holder: Copyright © 2023 Li, Tian, Guo, Li, Ma, Jiang and Zhao.

Use and reproduction: