Semantic Scholar Open Access 2022 124 sitasi

Network medicine framework reveals generic herb-symptom effectiveness of traditional Chinese medicine

Xiaohui Gan Zixin Shu Xinyan Wang D. Yan Jun Yu Li +6 lainnya

Abstrak

Understanding natural and traditional medicine can lead to world-changing drug discoveries. Despite the therapeutic effectiveness of individual herbs, traditional Chinese medicine (TCM) lacks a scientific foundation and is often considered a myth. In this study, we establish a network medicine framework and reveal the general TCM treatment principle as the topological relationship between disease symptoms and TCM herb targets on the human protein interactome. We find that proteins associated with a symptom form a network module, and the network proximity of an herb’s targets to a symptom module is predictive of the herb’s effectiveness in treating the symptom. These findings are validated using patient data from a hospital. We highlight the translational value of our framework by predicting herb-symptom treatments with therapeutic potential. Our network medicine framework reveals the scientific foundation of TCM and establishes a paradigm for understanding the molecular basis of natural medicine and predicting disease treatments.

Topik & Kata Kunci

Penulis (11)

X

Xiaohui Gan

Z

Zixin Shu

X

Xinyan Wang

D

D. Yan

J

Jun Yu Li

S

Shany Ofaim

R

R. Albert

X

Xiaodong Li

B

Baoyan Liu

X

Xuezhong Zhou

A

Albert-L'aszl'o Barab'asi

Format Sitasi

Gan, X., Shu, Z., Wang, X., Yan, D., Li, J.Y., Ofaim, S. et al. (2022). Network medicine framework reveals generic herb-symptom effectiveness of traditional Chinese medicine. https://doi.org/10.1126/sciadv.adh0215

Akses Cepat

Lihat di Sumber doi.org/10.1126/sciadv.adh0215
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
124×
Sumber Database
Semantic Scholar
DOI
10.1126/sciadv.adh0215
Akses
Open Access ✓