Evidence map›Paper›PMID 41328058›Full record

ReviewJournal of inflammation research2025

Mechanisms of Macrophage Polarization Regulated by Oridonin: A Review.

Yingying Han, Zhenping Zheng, Mo Chen, Kangjie Xie

Abstract readReview
In one paragraph

Review in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Yingying Han *Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Zhenping Zheng *Department of Anesthesiology, People's Hospital of Qiannan Autonomous Prefecture, Qiannan, 558000, People's Republic of China.
Mo ChenDepartment of Anesthesiology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Kangjie XieDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oridonin(Ori), a natural ent-kaurane diterpenoid derived from the medicinal herb Rabdosia rubescens, has garnered significant interest for its potent anti-inflammatory and immunomodulatory properties. A key mechanism underlying these effects is its ability to regulate polarization. This review elaborates on the multifaceted mechanisms by which Ori modulates macrophage, extending beyond the inhibition of pro-inflammatory signaling pathways. We highlight its emerging role in metabolic reprogramming by shifting the functional balance from a pro-inflammatory M1 phenotype towards an anti-inflammatory and tissue-reparative M2 phenotype. Ori exhibits therapeutic potential not only in cancer and but also in a broad spectrum of other conditions, including non-alcoholic fatty liver disease, rheumatoid arthritis, colitis, asthma, atherosclerosis, and sepsis. However, the clinical translation of Ori is severely hampered by its unfavorable pharmacokinetic properties, such as poor aqueous solubility and low oral bioavailability. We conclude by discussing future perspectives, emphasizing the need for advanced drug delivery systems, the integration of multi-omics technologies to thoroughly map macrophage responses, and the application of network pharmacology and artificial intelligence to propel the rational development of oridonin as a novel macrophage-centric therapeutic agent.

Indexed as

inflammationmacrophage polarizationoridonintumor

Identifiers

PMID41328058
PMCPMC12665246

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.