Evidence map›Paper›PMID 40343288›Full record

ArticleIranian journal of basic medical sciences2025

Mechanism of action of total saponin Achyranthes in treating knee osteoarthritis explored using network pharmacology and animal experimentation.

Shiwei Zhuang, Qiang Chen, Xiao Guo, Wenhai Zhao, Ye Qiu

Abstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Shiwei ZhuangThe Third Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun 130117, China.
Qiang ChenInstitute of College of Pharmacy, Changchun University of Chinese Medicine, Changchun 130117, China.
Xiao GuoJilin Cancer Hospital, Changchun, Changchun 130012, China.
Wenhai ZhaoAffiliated Hospital of Changchun University of Chinese Medicine, Changchun 130021, China.
Ye QiuInstitute of College of Pharmacy, Changchun University of Chinese Medicine, Changchun 130117, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Knee osteoarthritis (KOA) is a persistent degenerative disease affecting the joints, significantly reducing the quality of life for individuals afflicted. This study explores the therapeutic effects of total saponin Achranthes (TSA) on KOA rats and its underlying mechanism. Materials and Methods: Forty-eight rats were randomly assigned to six experimental groups: a blank control group, a model group, a sham-operated group, and a TSA treatment group (low, medium, and high dose), with eight rats in each group. The rats were treated continuously for four weeks. The degree of joint swelling was quantified, and the Lequesne MG score was evaluated. Network pharmacology approaches were employed to pinpoint potential TSA targets and related pathways for managing KOA. Additionally, histopathological examinations were conducted on the knee cartilage of the rats. Serum levels of TNF-α and IL-1β were assessed through the ELISA assay. Results: The network pharmacology results indicate that TSA may effectively treat KOA through the MAPK and PI3K/Akt signaling pathways. Moreover, TSA significantly decreased the serum concentrations of pro-inflammatory cytokines such as TNF-α and IL-1β, and TSA down-regulated the P38 MAPK, PI3K/Akt, and NF-κB pathways, whereas the KOA model showed up-regulation. The treatment also significantly reduced MMP-9, MMP-13, and ADAMTS-5 protein levels. Conclusion: TSA can potentially ameliorate inflammation, safeguard knee cartilage tissue, and alleviate symptoms of KOA by inhibiting the MAPK/Akt/NF-κB signaling pathway.

Indexed as

AchyranthesAnti-inflammatoryKnee osteoarthritisMatrix metalloproteinase 9PharmacologyRats

Identifiers

PMID40343288
PMCPMC12057757

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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.