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A strategy for component-based Chinese medicines design approach of Polygonum orientale L. against hypoxia/reoxygenation based on uniform design-stepwise regression-simulated annealing
- Source :
- Biomedicine & Pharmacotherapy, Vol 135, Iss , Pp 111177- (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Presently, optimal proportions and synergistic mechanisms of component-based Chinese medicines are critical for developing novel strategies to treat cardiovascular diseases (CVDs). A new multi-objective optimization algorithm based on uniform design (UD) and stepwise regression (SR) modeling is proposed to find the synergistic effect of orientin (Ori), quercitrin (Que) and vitexin (Vit), the three effective components from Polygonum orientale L., using the H9c2 cells injury induced by hypoxia/reoxygenation (H/R). The optimal proportion of these three components was calculated by simulated annealing (SA). In this research, the excellent combination named OQV-e (Ori: Que: Vit =12.55 μM: 39.99 μM: 19.99 μM) could exert significant cardioprotection against the H9c2 cells injury induced by H/R through increasing cell viability, decreasing leakage rate of lactate dehydrogenase (LDH) and the level of nitric oxide (NO). Moreover, western blot analysis revealed that OQV-e could activate autophagy by inhibiting the p-JNK/JNK signaling pathway, which showed that the method (UD-SR-SA) was a feasible strategy. Mathematical system modeling may be a considerable approach for the powerful mathematical analysis of the complex pharmacological effects of component-based Chinese medicines from herbal medicines, which might greatly enhance the efficiency to find new modern Chinese drugs for CVDs based on Chinese herbal medicine (CHM) with affirmative therapeutic effect.
Details
- Language :
- English
- ISSN :
- 07533322
- Volume :
- 135
- Issue :
- 111177-
- Database :
- Directory of Open Access Journals
- Journal :
- Biomedicine & Pharmacotherapy
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b3b3a06e691e45c1940f9cf03a468902
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.biopha.2020.111177