Weibo Dai1, Chang Chen1, Gengting Dong1, Guangru Li1, Weiwen Peng1, Xin Liu1, Jing Yang1, Leyu Li2, Ruiyan Xu3, Xianjing Hu4. 1. Pharmacology Laboratory, Zhongshan Hospital, Guangzhou University of Chinese Medicine, Zhongshan, PR China. 2. Endocrinology Department, Zhongshan Hospital, Guangzhou University of Chinese Medicine, Zhongshan, PR China. Electronic address: lileyu@139.com. 3. Endocrinology Department, Zhongshan Hospital, Guangzhou University of Chinese Medicine, Zhongshan, PR China. 4. Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Dongguan, 523808, PR China; Centre for Cancer and Inflammation Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China. Electronic address: huxj2003@163.com.
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE: Fufang Fanshiliu decoction (FFSLD) is a Chinese herbal medicine prescription that has been used in type 2 diabetes mellitus (T2DM), while the underlying mechanism remains unclear. AIM OF THE STUDY: To validate the efficacy and explore the potential mechanisms of FFSLD in treating T2DM via integrating a network pharmacological approach and experimental evaluation. MATERIALS AND METHODS: T2DM mice model induced by high-fat diet feeding combined with streptozotocin injection was selected to investigate the alleviation of FFSLD against T2DM, via detecting the levels of glucose, insulin, glucagon (GC), triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). Network pharmacological analysis was used to predict the potential mechanisms, including the pharmacokinetics and drug-likeness screening, active ingredients and potential targets prediction, network analysis, and enrichment analysis. The candidate bioactive molecules of FFSLD, and targets information excavated through TCMSP, Uniprot, GeneCards, OMIM databases, were combined for comprehensive analysis by constructing "drug-compound-target-disease" and "protein-protein interaction" networks. Enrichment analysis was performed via Gene Ontology (GO) and Koto Encyclopedia of Genes and Genomes (KEGG) databases. HepG2 insulin-resistance (IR) cells model induced by high glucose was used to verify the potential mechanisms of FFSLD against T2DM which were predicted by the network pharmacology. RESULTS: The animal study showed that FFSLD significantly decreased the blood glucose, and reversed the abnormal levels of insulin, GC, TG, TC, HDL-C, and LDL-C in T2DM mice. Network pharmacological analysis indicated that 106 active compounds of FFSLD might be correlated with 628 targets in treating T2DM, and the mechanism would probably be related to insulin resistance that harbored a high response value (P = 5.88844 E-33) though regulating Akt1, ESR1, oxidoreductase activity, and JAK/STAT signalings. Experimental validation showed that FFSLD reduced the ROS level, up-regulated the expressions of p-AKT, Nrf-2, and ESR1, and down-regulated the expressions of JAK2, STAT3, and Keap-1 in the HepG2-IR cells model. CONCLUSIONS: This study demonstrated that the therapeutic effect of FFSLD on T2DM was related to IR alleviation. The underlying mechanisms were associated with the regulation of PI3K/AKT, JAK/STAT, oxidative stress, and ESR signaling pathways.
ETHNOPHARMACOLOGICAL RELEVANCE: Fufang Fanshiliu decoction (FFSLD) is a Chinese herbal medicine prescription that has been used in type 2 diabetes mellitus (T2DM), while the underlying mechanism remains unclear. AIM OF THE STUDY: To validate the efficacy and explore the potential mechanisms of FFSLD in treating T2DM via integrating a network pharmacological approach and experimental evaluation. MATERIALS AND METHODS: T2DM mice model induced by high-fat diet feeding combined with streptozotocin injection was selected to investigate the alleviation of FFSLD against T2DM, via detecting the levels of glucose, insulin, glucagon (GC), triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). Network pharmacological analysis was used to predict the potential mechanisms, including the pharmacokinetics and drug-likeness screening, active ingredients and potential targets prediction, network analysis, and enrichment analysis. The candidate bioactive molecules of FFSLD, and targets information excavated through TCMSP, Uniprot, GeneCards, OMIM databases, were combined for comprehensive analysis by constructing "drug-compound-target-disease" and "protein-protein interaction" networks. Enrichment analysis was performed via Gene Ontology (GO) and Koto Encyclopedia of Genes and Genomes (KEGG) databases. HepG2 insulin-resistance (IR) cells model induced by high glucose was used to verify the potential mechanisms of FFSLD against T2DM which were predicted by the network pharmacology. RESULTS: The animal study showed that FFSLD significantly decreased the blood glucose, and reversed the abnormal levels of insulin, GC, TG, TC, HDL-C, and LDL-C in T2DM mice. Network pharmacological analysis indicated that 106 active compounds of FFSLD might be correlated with 628 targets in treating T2DM, and the mechanism would probably be related to insulin resistance that harbored a high response value (P = 5.88844 E-33) though regulating Akt1, ESR1, oxidoreductase activity, and JAK/STAT signalings. Experimental validation showed that FFSLD reduced the ROS level, up-regulated the expressions of p-AKT, Nrf-2, and ESR1, and down-regulated the expressions of JAK2, STAT3, and Keap-1 in the HepG2-IR cells model. CONCLUSIONS: This study demonstrated that the therapeutic effect of FFSLD on T2DM was related to IR alleviation. The underlying mechanisms were associated with the regulation of PI3K/AKT, JAK/STAT, oxidative stress, and ESR signaling pathways.