已发表论文

冬青树皮提取物通过激活腺苷 A2A 受体促进骨愈合

 

Authors Zheng X , Wang J, Zhou J , Wang D 

Received 28 April 2022

Accepted for publication 27 July 2022

Published 4 August 2022 Volume 2022:16 Pages 2569—2587

DOI https://doi.org/10.2147/DDDT.S362238

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Dr Georgios D Panos

Introduction: Bone fracture is a common reason causing human disability. The delay union and nonunion rates are approximately 5– 10% despite patients receiving active treatment. Currently, there is a limited number of drugs directly accelerating bone healing, especially direct extracts from plants. Moreover, the pharmacological effects of Ilex cornuta bark are still unknown. This study aimed to explore the effects and mechanisms of Ilex cornuta bark in bone healing.
Methods and Results: First, the promoting effects of Ilex cornuta bark on bone healing were verified by the mice femur fracture model as Ilex cornuta bark increased the callus formation and enhanced the biomechanical stability during the bone healing process. Second, the target gene of Ilex cornuta bark in bone healing identified by bioinformatics analysis and immunofluorescence validation was ADORA2A . Third, 410 main compound compositions of Ilex cornuta bark were explored by a non-target metabolomic analysis, where 190 of them were neg ion mode, and 220 were pos ion mode. Molecular docking was used to predict the regulatory effect of the compounds on adora2a (adenosine A2A receptor), and ursonic acid had the lowest binding energy with adora2a. Finally, nfkb1 was the transcription factor (TF) of adora2a, and ursonic acid also had the lowest binding energy by bioinformatic analysis and molecular docking.
Conclusion: Overall, Ilex cornuta bark water extract was a new plant extract on promoting bone healing; in addition, the mechanism of it might be activating adora2a though Nfkb1.
Keywords: Ilex cornuta bark, adenosine A2A receptor, bone healing, non-target metabolomic analysis, bioinformatic analysis, Nfkb1