Evidence map›Paper›PMID 39108758›Full record

ArticleFrontiers in pharmacology2024

Fu-zi decoction attenuate rheumatoid arthritis

Zhenzhen Pan, Fangchan Li, Yujie Xu, Huimin Ye, Jiahui Liu, Zhenhua Wang, Changsheng Deng, Jianping Song, Manxue Mei, Changqing Li

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Zhenzhen PanArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Fangchan LiExperimental Teaching Center, Guangxi University of Chinese Medicine, Nanning, China.
Yujie XuArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Huimin YeArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiahui LiuArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhenhua WangArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Changsheng DengArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jianping SongArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Manxue MeiArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Changqing LiArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fu-zi decoction (FZD) has a long history of application for treating Rheumatoid arthritis (RA) as a classic formulation. However, its underlying mechanisms have not been fully elucidated. This study aimed to decipher the potential mechanism of FZD in treating RA, with a specific focus on receptor activator of nuclear factor κB/receptor activator of nuclear factor κB ligand (RANK/RANKL) signaling pathway. Methods: The impact of FZD on RA was investigated in collagen-induced arthritis rats (CIA), and the underlying mechanism was investigated in an osteoclast differentiation cell model. Results: FZD significantly diminished the arthritis index score, paw volume, toe thickness and weigh loss in CIA rats, alleviated the pathological joint alterations. Consistent with Conclusion: In conclusion, FZD exerts a therapeutic effect in CIA rats by inhibiting RANK/RANKL-mediated osteoclast differentiation, which suggested that FZD is a promising treatment for RA.

Indexed as

collagen-induced arthritisFu-zi decoctionosteoclastogenesisRANK/RANKLrheumatoid arthritis

Identifiers

PMID39108758
PMCPMC11300212

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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.