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Article

Network Pharmacology Analysis and Biological Validation Systemically Identified the Active Ingredients and Molecular Targets of Kudzu Root on Osteoporosis

1
Research Institute for Future Food, The Hong Kong Polytechnic University, Hong Kong, China
2
Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, China
3
Guangdong Provincial Key Laboratory of Marine Biology, Department of Biology, College of Science, Shantou University, Shantou 515063, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(3), 1202; https://doi.org/10.3390/ijms26031202
Submission received: 22 December 2024 / Revised: 24 January 2025 / Accepted: 29 January 2025 / Published: 30 January 2025
(This article belongs to the Section Molecular Pharmacology)

Abstract

As a traditional medicinal food, Kudzu root (KR) has been proven to be an effective medicine for treating osteoporosis (OP). However, its precise targets and underlying integrated pharmacological mechanisms on OP have not yet been systematically investigated. The aim of the present study was to systemically explore the active ingredients, molecular targets, and ingredient-target network of KR against OP by the methods of network pharmacology followed by biological validation in a glucocorticoid-induced bone loss model of zebrafish. Our results identified a total of 15 active compounds with good pharmacokinetic properties in KR and 119 targets related to OP from correspondent databases, forming an ingredient-target network. Additionally, the protein–protein interaction (PPI) network further identified 39 core targets. Enrichment analyses with functional annotation revealed that the TNF signaling pathway and osteoclast differentiation process were significantly enriched by multi-targets including AKT1, P65, MAPK14, JUN, TNF-α, MMP9, IL6, and IL1B, etc., and served as the critical targets for molecular docking, molecular dynamics simulation, and in vivo experiment validation. These critical targets performed effectively in molecular docking and molecular dynamics, with AKT1, MMP9, and TNF-α exhibiting more prominent binding energy with Coumestrol, Genistein, and Genistein 7-glucoside, respectively. Further experimental validation in a zebrafish model indicated that KR could regulate the expressions of critical targets (AKT1, P65, MAPK14, JUN, TNF-α, and MMP9). This study provides a systemic perspective of the relationships between the active ingredients of KR and their multi-targets in OP, thereby constructing a pharmacological network to clarify the mechanisms by which KR ameliorates OP.
Keywords: Kudzu root; osteoporosis; network pharmacology; TNF signaling pathway; NF-κB; p38 MAPK Kudzu root; osteoporosis; network pharmacology; TNF signaling pathway; NF-κB; p38 MAPK

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MDPI and ACS Style

Liu, Z.-W.; Zhang, B.-B.; Kwok, K.W.-H.; Dong, X.-L.; Wong, K.-H. Network Pharmacology Analysis and Biological Validation Systemically Identified the Active Ingredients and Molecular Targets of Kudzu Root on Osteoporosis. Int. J. Mol. Sci. 2025, 26, 1202. https://doi.org/10.3390/ijms26031202

AMA Style

Liu Z-W, Zhang B-B, Kwok KW-H, Dong X-L, Wong K-H. Network Pharmacology Analysis and Biological Validation Systemically Identified the Active Ingredients and Molecular Targets of Kudzu Root on Osteoporosis. International Journal of Molecular Sciences. 2025; 26(3):1202. https://doi.org/10.3390/ijms26031202

Chicago/Turabian Style

Liu, Zhi-Wen, Bo-Bo Zhang, Kevin Wing-Hin Kwok, Xiao-Li Dong, and Ka-Hing Wong. 2025. "Network Pharmacology Analysis and Biological Validation Systemically Identified the Active Ingredients and Molecular Targets of Kudzu Root on Osteoporosis" International Journal of Molecular Sciences 26, no. 3: 1202. https://doi.org/10.3390/ijms26031202

APA Style

Liu, Z.-W., Zhang, B.-B., Kwok, K. W.-H., Dong, X.-L., & Wong, K.-H. (2025). Network Pharmacology Analysis and Biological Validation Systemically Identified the Active Ingredients and Molecular Targets of Kudzu Root on Osteoporosis. International Journal of Molecular Sciences, 26(3), 1202. https://doi.org/10.3390/ijms26031202

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