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Multi-pathway targeting by natural products in chronic respiratory diseases: Opportunities, challenges, and future
Siqi Lin1,2, Lili Li3, Shiqing Zhuo1,2
1School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Abstract:
Chronic respiratory diseases (CRDs) are multifactorial disorders driven by dysregulated inflammation, oxidative stress, and tissue remodeling. Conventional single-target therapies are insufficient to halt disease progression, underscoring the demand for alternative therapeutic approaches. Natural products, including bioactive compounds, herbal extracts, and traditional Chinese medicine (TCM) formulas, are characterized by their inherent multi-target properties and represent a promising intervention strategy for CRDs. This perspective emphasizes natural products as network modulators that can simultaneously regulate multiple signaling pathways. The integration of systems biology, network pharmacology, and artificial intelligence (AI) is crucial for deciphering their polypharmacological mechanisms. The clinical translation of natural products is anticipated to benefit from the implementation of several key strategies, including multi-omics integration, AI, targeted delivery, and blockchain-based quality control. By shifting from a reductionist to a network-centric view, natural products can fulfill their potential as next-generation therapeutics for CRDs.
Insights
Natural products offer a multi-target approach for chronic respiratory diseases (CRDs) by modulating complex biological networks. Integrating systems biology, network pharmacology, and AI can advance their clinical use as next-generation CRD therapeutics.
Area of Science:
- * Integrative medicine and pharmacology
- * Computational biology and bioinformatics
- * Natural product chemistry
Background:
- * Chronic respiratory diseases (CRDs) involve complex, multifactorial pathologies including inflammation, oxidative stress, and tissue remodeling.
- * Conventional single-target therapies are inadequate for managing CRD progression.
- * There is a growing need for innovative therapeutic strategies to address the complexity of CRDs.
Purpose of the Study:
- * To highlight the potential of natural products as multi-target therapeutics for CRDs.
- * To emphasize the role of natural products as network modulators in complex diseases.
- * To explore the integration of systems biology, network pharmacology, and artificial intelligence (AI) for understanding natural product mechanisms.
Main Methods:
- * Review and synthesis of current research on natural products for CRDs.
- * Conceptual framework integrating systems biology, network pharmacology, and AI.
- * Discussion of strategies for clinical translation, including multi-omics, AI, targeted delivery, and blockchain.
Main Results:
- * Natural products possess inherent multi-target properties suitable for complex diseases like CRDs.
- * Network pharmacology and AI are essential tools for elucidating the polypharmacological effects of natural products.
- * A network-centric approach is superior to reductionist methods for understanding CRD pathogenesis and treatment.
Conclusions:
- * Natural products represent a promising therapeutic avenue for CRDs, acting as network modulators.
- * The synergy of systems biology, network pharmacology, and AI is critical for unlocking their full potential.
- * Strategic implementation of advanced technologies will facilitate the clinical translation of natural products for CRDs.
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