title: A systems biology approach to uncovering pharmacological synergy in herbal medicines with applications to cardiovascular disease.
abstract: Background. Clinical trials reveal that multiherb prescriptions of herbal medicine often exhibit pharmacological and therapeutic superiority in comparison to isolated single constituents. However, the synergistic mechanisms underlying this remain elusive. To address this question, a novel systems biology model integrating oral bioavailability and drug-likeness screening, target identification, and network pharmacology method has been constructed and applied to four clinically widely used herbs Radix Astragali Mongolici, Radix Puerariae Lobatae, Radix Ophiopogonis Japonici, and Radix Salviae Miltiorrhiza which exert synergistic effects of combined treatment of cardiovascular disease (CVD). Results. The results show that the structural properties of molecules in four herbs have substantial differences, and each herb can interact with significant target proteins related to CVD. Moreover, the bioactive ingredients from different herbs potentially act on the same molecular target (multiple-drug-one-target) and/or the functionally diverse targets but with potentially clinically relevant associations (multiple-drug-multiple-target-one-disease). From a molecular/systematic level, this explains why the herbs within a concoction could mutually enhance pharmacological synergy on a disease. Conclusions. The present work provides a new strategy not only for the understanding of pharmacological synergy in herbal medicine, but also for the rational discovery of potent drug/herb combinations that are individually subtherapeutic.
authors.affiliation: Center of Bioinformatics, College of Life Science, Northwest A&F University, Yangling, Shaanxi 712100, China.
authors.forename: Xia
authors.initials: X
authors.lastname: Wang
authors.forename: Xue
authors.initials: X
authors.lastname: Xu
authors.forename: Weiyang
authors.initials: W
authors.lastname: Tao
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
authors.forename: Yonghua
authors.initials: Y
authors.lastname: Wang
authors.forename: Ling
authors.initials: L
authors.lastname: Yang