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An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology
Pengfei Guo1,2, Chuipu Cai1,3, Xiaoqin Wu4
1Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Abstract:
Over the past several decades, natural products with poly-pharmacological profiles have demonstrated promise as novel therapeutics for various complex diseases, including cancer. Berberine (PubChem CID: 2353), a soliloquies quaternary alkaloid, has been validated to exert powerful effects in many cancers. However, the underlying molecular mechanism is not yet fully elucidated. In this study, we summarized the molecular effects of berberine against multiple cancers based on current available literatures. Furthermore, a systems pharmacology infrastructure was developed to discover new cancer indications of berberine and explore their molecular mechanisms. Specifically, we incorporated 289 high-quality protein targets of berberine by integrating experimental drug-target interactions (DTIs) extracted from literatures and computationally predicted DTIs inferred by network-based inference approach. Statistical network models were developed for identification of new cancer indications of berberine through integration of DTIs and curated cancer significantly mutated genes (SMGs). High accuracy was yielded for our statistical models. We further discussed three typical cancer indications (hepatocarcinoma, lung adenocarcinoma, and bladder carcinoma) of berberine with new mechanisms of actions (MOAs) based on our systems pharmacology framework. In summary, this study systematically provides a powerful strategy to identify potential anti-cancer effects of berberine with novel mechanisms from a systems pharmacology perspective.
Insights
Berberine shows promise as a cancer therapeutic, but its mechanisms are unclear. This study uses systems pharmacology to identify new cancer uses and molecular mechanisms for berberine, revealing novel anti-cancer effects.
Area of Science:
- Pharmacology
- Computational Biology
- Oncology
Background:
- Natural products with poly-pharmacological profiles show therapeutic promise for complex diseases like cancer.
- Berberine, a quaternary alkaloid, exhibits significant anti-cancer effects, but its molecular mechanisms require further elucidation.
Purpose of the Study:
- To summarize the molecular effects of berberine against various cancers.
- To develop a systems pharmacology framework for discovering new berberine cancer indications and exploring their molecular mechanisms.
Main Methods:
- Integrated experimental and computationally predicted drug-target interactions (DTIs) for 289 berberine protein targets.
- Developed statistical network models integrating DTIs and cancer significantly mutated genes (SMGs) to identify new cancer indications.
- Analyzed three cancer types (hepatocarcinoma, lung adenocarcinoma, bladder carcinoma) to elucidate novel mechanisms of action (MOAs).
Main Results:
- Incorporated 289 high-quality protein targets of berberine.
- Statistical models demonstrated high accuracy in identifying new cancer indications.
- Identified novel MOAs for berberine in hepatocarcinoma, lung adenocarcinoma, and bladder carcinoma.
Conclusions:
- The study presents a systematic systems pharmacology strategy for identifying potential anti-cancer effects of berberine.
- This approach reveals novel mechanisms of action for berberine from a systems perspective.
- Provides a framework for discovering new therapeutic applications of natural products in oncology.
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