Organoids in aging research: Bridging cutting-edge biotechnology with the wisdom of traditional Chinese medicine

Abstract

The growth of the global older population has necessitated the development of advanced models to investigate biological processes in aging and to explore viable anti-aging strategies. This review focuses on two objectives: First, to explore organoid technology as a paradigm for observing and intervening in human aging, and second, to examine the possible overlaps and crossroads between organoid-based biomedical paradigms and traditional Chinese medicine (TCM). Recent advancements in this field have increased the physiological relevance of organoids, incorporating both a dynamic microenvironment and multi-organ interactions. Such accomplishments have enhanced the accuracy of models of neurodegeneration, cardiovascular deterioration, metabolic diseases, and age-related conditions. In addition to pharmacological and genetic treatments, organoid models offer new opportunities to study well-known anti-aging techniques, such as those that rely on the TCM system, which aims to balance the body using natural substances with antioxidant and repair properties. Together, organoid-based aging research and mechanistic evaluation of TCM-derived compounds may help identify interventions that support healthy aging.

Keywords

Organoids / Aging / Organ-on-a-chip / Traditional Chinese medicine / Anti-aging interventions

Acknowledgments

None.

Funding

This study is supported by the National Key R&D Program of China (2022YFA1103403), National Natural Science Foundation of China (No. 82104128), and Natural Science Foundation of Hunan Province, China (No. 2024JJ9426).

Conflict of interest

The authors declare that they have no competing interests.

Author contributions

Conceptualization: All authors

Visualization: Yi Wei, Yu Wang

Writing-original draft: Yi Wei

Writing-review & editing: All authors

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data

Not applicable.

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