Decoding Traditional Chinese Medicine Phenomics in Degeneration-Related Diseases
Traditional Chinese Medicine (TCM) has accumulated profound empirical knowledge in preventing and treating degeneration-related diseases, including Alzheimer’s, osteoarthritis, and vascular aging, through its holistic principles and personalized treatment approaches. Despite its widespread use, a critical barrier to its modernization and global acceptance lies in the limited mechanistic understanding of its systemic regulation. Recent advancements in multi-omics technologies, including genomics, proteomics, and metabolomics, combined with AI-driven big-data analytics, are revolutionizing TCM research. At the forefront of this evolution is TCM Phenomics, an emerging discipline that quantifies dynamic phenotypic responses—from molecular to the organismal levels. By linking genotypes, environmental factors, and disease phenotypes, phenomics establishes a novel framework for decoding TCM’s “multi-target, multi-pathway” therapeutic mechanisms.
This Research Topic aims to create a cutting-edge platform to share breakthroughs and innovations in TCM phenomics, particularly in degeneration-related diseases. The main objectives include decoding how TCM interventions alter disease-associated phenotypic trajectories across spatial and temporal scales, translating correlative phenomic signatures into causal mechanisms of TCM’s systemic regulation, standardizing methodologies for reproducible phenomic data acquisition and analysis, and driving clinical translation to optimize TCM therapies in precision geriatrics. By integrating multi-dimensional phenotyping—including cellular dynamics, tissue remodeling, and systemic functional readouts—with multi-omics profiling and AI analytics, we aim to bridge knowledge gaps and provide mechanistic insights into degradation-related diseases.
This Research Topic is focused on the complex intersection of TCM and phenomics in degeneration-related diseases. We welcome articles addressing, but not limited to, the following themes:
o Mechanistic Decoding through the integration of multi-omics(genomics-proteomics-metabolomics) data with deep phenotyping, mapping TCM’s systemic effects on disease trajectories.
o Technology Innovation as AI/ML-driven phenomic analysis, dynamic biosensor monitoring, and organ-on-chip models for TCM effectiveness evaluation.
o Translating phenomic findings into clinical advancements, including biomarker discovery and patient stratification.
o Developing standardized methodologies and reproducible frameworks to enhance TCM phenomic research.
o Advancing TCM theory with evidence-based phenomic investigations
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
- Brief Research Report
- Case Report
- Clinical Trial
- Editorial
- General Commentary
- Hypothesis and Theory
- Methods
- Mini Review
- Opinion
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Keywords: Traditional Chinese Medicine Phenomics, Degeneration related Diseases, Mechanistic Research, clinical application, old and weak
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
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