Anamica Patel

Objective This study aimed to investigate the inhibitory effect of berberine hydrochloride (BH) on Candida albicans (C.albicans) ATCC10231 biofilm formation. Results This paper found a positive correlation between the concentration of BH and its inhibitory effect on the cellular activity of early biofilms because we found that 128 and 32 μg/mL BH significantly inhibited biofilm formation (P < 0.05). BH significantly inhibited the cellular activity in early biofilms, destroyed the microscopic morphology of C.albicans and reduced the thickness of the biofilm. Both 128 and 32 μg/mL concentration solutions of BH significantly inhibited biofilm formation (P < 0.05). We found that the inhibitory effect of BH solution was positively correlated with its concentration and 128 μg/mL BH was better than 4 μg/mL fluconazole. Additionally, the results of RT-PCR indicated that 128 and 32 μg/mL BH inhibited the expression of EFG1, HWP1, ECE1, and ALS1 (P < 0.05). Conclusion The efficacy of BH in inhibiting the formation of C.albicans biofilm by killing the cells in the biofilm and destroying its structure; and the mechanism may be to down-regulate the expression of EFG1, HWP1, ECE1, and ALS1 in hyphae formation, thereby, retarding the morphological transformation of C. albicans.

Dosage is essential for studying the compatibility and effectiveness of traditional Chinese medicine. Danggui and Chuanxiong are widely used in traditional Chinese medicine for ailments and treatment of various disorders. 628 traditional Chinese medicine prescriptions containing Danggui and Chuanxiong were extracted from the self‐built prescription database and screened for the three groups of prescriptions, i.e., irregular menstruation, sores, and stroke. We processed and tested the dosage of Danggui and Chuanxiong and selected the optimal copula function, Gumbel copula function, from the Archimedes function family and elliptical copula function family to establish the data model. To establish the presence of a correlation between the dose of Danggui and Chuanxiong, a graph of the joint distribution function of rank correlation coefficients, Kendall’s rank correlation coefficient and Spearman’s rank correlation coefficient, was used. Our results suggest that the model using the Gumbel copula function better reflects the correlation between the dose of Danggui and Chuanxiong. For irregular menstruation, sores, and strokes, Kendall’s rank correlation coefficients were 0.6724, 0.5930, and 0.7757, respectively, and Spearman’s correlation coefficients were 0.8536, 0.7812, and 0.9285, respectively. In all three prescription groups, the dose of Danggui and Chuanxiong was positively correlated, implying that, as the dosage of one drug increases, the dosage of the other increases as well. From the perspective of data mining and mathematical statistics, the use of the copula function model to evaluate the correlation between the prescribed dosage of the two drugs was innovative and provided a new model for the scientific interpretation of the compatibility of traditional drugs. This might also serve to guide the clinical use of traditional Chinese medicine.