Insights into advantages and limitations of network pharmacology in traditional Chinese medicine

Network pharmacology, an interdisciplinary field integrating systems biology, bioinformatics, and network science, has emerged as a transformative approach in traditional Chinese medicine (TCM) research. By enabling multi-component, multi-target, and multi-pathway analysis, it aligns closely with the holistic philosophy of TCM and offers new avenues for understanding complex herbal formulations, pharmacological mechanisms, and drug development.

Core Applications of TCM-NP

1. Active Compound Discovery

TCM-NP facilitates the identification of bioactive compounds through the construction of "compound-target" and "disease-target" networks. This approach shifts from traditional experiment-heavy methods to more efficient strategies involving computational simulation and database mining. Examples include the prediction of active components in the Dampness-Expelling Detoxification Formula and Lei-gong-gen formula granule.

2. Pharmacological Mechanism Elucidation

TCM-NP enables systems-level analysis of how TCM formulas exert therapeutic effects. It has been used to study:

• Anti-influenza mechanisms of Shufeng Jiedu Capsules (e.g., kaempferol, luteolin, isorhamnetin)

• Anti-tumor effects of cycloastragenol from Astragalus membranaceus

• Diabetic nephropathy treatment mechanisms of Cordyceps sinensis

3. Safety Evaluation and Toxicology

TCM-NP has been applied to assess the hepatotoxicity of herbs like Polygonum multiflorum, integrating network toxicology with metabolomics and cellular biology to identify toxic components and pathways.

4. TCM Theory Validation

It provides scientific evidence for classical TCM theories such as "same treatment for different diseases" by revealing shared molecular mechanisms across different conditions, as demonstrated in studies on Codonopsis Radix.

5. Drug Development and Repurposing

TCM-NP supports the secondary development of herbal compounds, such as exploring the anti-prostate cancer potential of Tongguanteng Injection.

Emerging Trends and Technological Integration

1. Artificial Intelligence (AI) Integration

AI enhances the ability to process and integrate multi-source data (e.g., omics, clinical records, literature). Systems like the UNIQ platform exemplify AI-driven network pharmacology for TCM, enabling dynamic target identification and mechanistic modeling.

2. Multi-Omics and Single-Cell Technologies

Combining TCM-NP with genomics, transcriptomics, and single-cell sequencing allows for more precise mechanistic insights, as seen in studies on cycloastragenol and CD8+ T cell immunity.

3. Microbiome Research

Emerging applications include exploring interactions between TCM and gut microbiota to uncover new pharmacological pathways.

4. Quality Marker (Q-Marker) Identification

TCM-NP aids in identifying compounds that influence herbal quality, supporting safer and more consistent quality control, as demonstrated in Danlou tablet research.

5. Data and Algorithm Optimization

Advancements in analytical technologies (e.g., LC-MS) and network algorithms (e.g., weighted component analysis) improve data reliability and alignment with TCM characteristics.

Limitations of TCM-NP

Despite its promise, TCM-NP faces several challenges:

• Data Quality Issues: Heavy reliance on databases like TCMSP and STRING, which may contain incomplete or inconsistent data.

• Lack of Standardization: Absence of unified research criteria may lead to exclusion of relevant compounds and hinder reproducibility.

• Prediction vs. Validation: Most findings are computational and require rigorous experimental confirmation.

• Neglect of TCM Principles: Current models often fail to incorporate core TCM concepts such as dosage, pharmacokinetics, and syndrome differentiation.

Conclusion

TCM-NP represents a paradigm shift from single-target to holistic systems pharmacology in herbal medicine research. While limitations in data quality and standardization persist, ongoing integration with AI, multi-omics technologies, and advanced analytical tools is expected to solidify its role as a cornerstone of modern TCM research and drug discovery. The field is poised for continued growth, offering innovative solutions for understanding and applying TCM in the era of precision medicine.

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https://www.xiahepublishing.com/2835-6357/FIM-2025-00043

The study was recently published in the Future Integrative Medicine.

Future Integrative Medicine (FIM) is the official scientific journal of the Capital Medical University. It is a prominent new journal that promotes future innovation in medicine.It publishes both basic and clinical research, including but not limited to randomized controlled trials, intervention studies, cohort studies, observational studies, qualitative and mixed method studies, animal studies, and systematic reviews.

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