Panpan Lu, Yingjuan Li, Guangchun Dai, Yuanwei Zhang, Liu Shi, Ming Zhang, Hao Wang, Yunfeng Rui
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HMGB1: a potential new target for tendinopathy treatment.
Tendinopathy describes a complex pathology of the tendon characterized by abnormalities in the microstructure, composition, and cellularity of the tendon, leading to pain, limitation of activity and reduced function. Nevertheless, the mechanism of tendinopathy has not been fully elucidated, and the treatment of tendinopathy remains a challenge. High mobility group box 1 (HMGB1), a highly conserved and multifaceted nuclear protein, exerts multiple roles and high functional variability and is involved in many biological and pathological processes. In recent years, several studies have suggested that HMGB1 is associated with tendinopathy and may play a key role in the pathogenesis of tendinopathy. Therefore, this review summarizes the expression and distribution of HMGB1 in tendinopathy, focuses on the roles of HMGB1 and HMGB1-based potential mechanisms involved in tendinopathy, and finally summarizes the findings on HMGB1-based therapeutic approaches in tendinopathy, probably providing new insight into the mechanism and further potential therapeutic targets of tendinopathy.
期刊介绍:
The aim of Connective Tissue Research is to present original and significant research in all basic areas of connective tissue and matrix biology.
The journal also provides topical reviews and, on occasion, the proceedings of conferences in areas of special interest at which original work is presented.
The journal supports an interdisciplinary approach; we present a variety of perspectives from different disciplines, including
Biochemistry
Cell and Molecular Biology
Immunology
Structural Biology
Biophysics
Biomechanics
Regenerative Medicine
The interests of the Editorial Board are to understand, mechanistically, the structure-function relationships in connective tissue extracellular matrix, and its associated cells, through interpretation of sophisticated experimentation using state-of-the-art technologies that include molecular genetics, imaging, immunology, biomechanics and tissue engineering.