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Abstract
Objectives
Intra-articular injection of sinomenine (SN) is an effective treatment method for knee osteoarthritis (OA), however, SN could be eliminated quickly in vivo. To extend the residence time of SN in the joint cavity, the SN-hyaluronic acid (HA) conjugate was prepared previously. This study was performed to evaluate the pharmacokinetics and pharmacodynamics of SN-HA conjugate after intra-articular administration for the treatment of OA.
Methods
A high performance liquid chromatography-mass spectrometry (HPLC-MS/MS) method was established to determine the SN content in rat synovial fluid. One hundred and twenty rats were randomly divided into two groups, the SN-HA group and SN group. The concentration of SN in articular cavity washings was determined by HPLC-MS/MS. The protective effect on the cartilage was evaluated by histological evaluation in a model of papain induced rabbit knee osteoarthritis.
Results
The method was validated with respect to sensitivity, specificity, linearity, precision, accuracy and especially the stability of analytes under various conditions, and was successfully applied in evaluating the pharmacokinetic profiles of SN in the joint cavity. Compared to the SN injection, the drug exposure in joint cavity was significantly increased following SN-HA injection administration, and AUC(0–12h) was 2.9 times of SN injection, mean residence time (MRT) was 1.88 times of SN injection. In the pharmacodynamic study, there was no significant difference between the SN-HA twice-treated group and SH/HA five-times mixture-treated group.
Conclusion
The local bioavailability of SN in joint cavity was improved significantly after conjugated with HA. The SN-HA conjugate showed good synergism effect of OA inhibition. The results indicated that the SN-HA conjugate seemed to be an effective therapeutic means for the treatment of OA.
Acknowledgments
This work was supported by the Key Research And Development Plan of Shandong Province (2018GSF118045) and the Natural Science Foundation of Shandong Province (ZR2017BH051).
Disclosure
The authors report no conflicts of interest in this work.