Realgar Nanoparticles Inhibit Migration, Invasion and Metastasis in a Mouse Model of Breast Cancer by Suppressing Matrix Metalloproteinases and Angiogenesis.

BACKGROUND: Realgar, a traditional Chinese medicine, has shown antitumor efficacy in several tumor types. We previously showed that realgar nanoparticles (nano-realgar) had significant antileukemia, anti-lung cancer and anti-liver cancer effects. In addition, the anti-tumor effects of nanorealgar were significantly better than those of ordinary realgar. OBJECTIVE: To explore the inhibitory effects and molecular mechanisms of nano-realgar on the migration, invasion and metastasis of mouse breast cancer cells. METHODS: Wound-healing migration assays and Transwell invasion assays were carried out to determine the effects of nano-realgar on breast cancer cell (4T1) migration and invasion. The expression levels of matrix metalloproteinase (MMP)-2 and -9 were measured by Western blot. A murine breast cancer metastasis model was established, administered nano-realgar for 32 days and monitored for tumor growth and metastasis by an in vivo optical imaging system. Finally, living imaging and hematoxylin and eosin (HE) staining were used to measure the morphology and pathology of lung and liver cancer cell metastases, respectively. Angiogenesis was assessed by CD34 immunohistochemistry. RESULTS: Nano-realgar significantly inhibited the migration and invasion of breast cancer 4T1 cells and the expression of MMP-2 and -9. Meanwhile, nano-realgar effectively suppressed the abilities of tumor growth, metastasis and angiogenesis in the murine breast cancer metastasis model in a time- and dosedependent manner. CONCLUSION: Nano-realgar significantly inhibited migration and invasion of mouse breast cancer cells in vitro as well as pulmonary and hepatic metastasis in vivo, which may be closely correlated with the downexpression of MMP-2 and -9 and suppression of tumor neovascularization.

On-Line quality control of Compound Danshen′s extracting process by NIR / 中草药

Objective To research and develop a model of the representative active component's content by NIR spectroscopy,so as to realize the on-line quality control of extracting process for multiple herbal medicine system in product scale.Methods The on-line NIR detection of extracting process was used to obtain the NIR spectrum,HPLC detection of the extracts was carried out to determine the content of danshensu,and PLS method was used to establish the relationship between the information of NIR and HPLC.Results The optimum NIR wavelength range was 9 715-7 082 cm-1,R=0.959 4,RMSEC=0.049 4,the average relative error was 7.2%.Conclusion NIR Technique could be used in the on-line quality control of Compound Danshen's extracting process.