Evidence map›Paper›PMID 40822477›Full record

ReviewFrontiers in pharmacology2025

Drug repurposing in traditional Chinese medicine: from empirical wisdom to modern therapeutic strategies.

Yuan Wu, Jiarong Huang, Jiajun Guo, Wanming Lian, Maorong Suo

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuan WuCollege of Jiyang, Zhejiang A&F University, Zhuji, China.
Jiarong HuangCollege of Jiyang, Zhejiang A&F University, Zhuji, China.
Jiajun GuoCollege of Jiyang, Zhejiang A&F University, Zhuji, China.
Wanming LianCollege of Jiyang, Zhejiang A&F University, Zhuji, China.
Maorong SuoCollege of Jiyang, Zhejiang A&F University, Zhuji, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM), with its multi-component and multi-target nature, offers rich potential for drug repurposing. Advances in systems biology, computational modeling, and high-throughput technologies have enabled systematic analysis of TCM mechanisms, facilitating in the identification of active ingredients, target interactions, and synergistic effects. However, most existing reviews focus on individual methods rather than providing an integrative translational strategy tailored to the complexity of TCM. This review addresses that gap by proposing a stage-based framework that combines mechanism analysis, preclinical validation, and clinical translation. We highlight key methodologies such as network pharmacology, multi-omics, molecular docking, and phenotypic screening, and discuss how they can be synergistically applied. Emerging technologies including AI, big data, 3D bioprinting, and organoid models are evaluated not only for their utility but also through critical analysis of their limitations in capturing TCM's holistic principles. By bridging traditional knowledge with modern biomedical innovation, this review offers a novel roadmap for accelerating evidence-based TCM repurposing. The proposed integrative strategy supports more reproducible, mechanistically grounded, and globally relevant applications of TCM in modern drug development.

Indexed as

network pharmacologyprecision medicinesystems biologyTraditional Chinese medicine, drug repurposingtranslational research

Identifiers

PMID40822477
PMCPMC12350352

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.