Evidence map›Paper›PMID 39822742›Full record

ArticleFrontiers in pharmacology2024

Integrated approach with UHPLC-Q-Exactive-tandem mass spectrometry, network analysis, and molecular docking to determine potential active compounds and mechanisms of Rhizoma Musae decoction in osteoarthritis treatment.

Jian Zhang, Wanyan Shen, Fanzhi Liu, Hehe He, Shuquan Han, Lina Luo

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 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. Analysis of Quality Differences inFood science & nutrition · 2026
    Article
  2. Food science & nutrition · 2026
    Article
  3. Article
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

6 authors.

Jian ZhangGuiZhou Institute of Subtropical Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Wanyan ShenResearch and Development Department, Guizhou Weikang Zifan Pharmaceutical Co., Ltd., Guiyang, China.
Fanzhi LiuGuiZhou Institute of Subtropical Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Hehe HeResearch and Development Department, Guizhou Weikang Zifan Pharmaceutical Co., Ltd., Guiyang, China.
Shuquan HanGuiZhou Institute of Subtropical Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Lina LuoGuiZhou Institute of Subtropical Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify the potential active compounds in Rhizoma Musae decoction and understand their mechanisms of action in osteoarthritis treatment. Methods: UHPLC-Q-Exactive-MS/MS technology was used for an in-depth analysis of the chemical compounds present in Rhizoma Musae decoction. A network analysis approach was used to construct a comprehensive network of compounds, targets, and pathways, which provided insights into the molecular mechanisms of Rhizoma Musae decoction in osteoarthritis treatment. Results: The integrated analysis revealed the presence of 534 chemical compounds in Rhizoma Musae decoction, with 7beta-hydroxyrutaecarpine, 7,8-dihydroxycoumarin, pinocembrin diacetate, and scopoletin being identified as potential active compounds. Potential targets such as GAPDH, AKT1, TNF, IL6, and SRC were implicated in key pathways including MAPK signaling pathway, lipid and atherosclerosis, PI3K-Akt signaling pathway, and IL-17 signaling pathway. Molecular docking studies showed significant binding affinity between the core targets and key components. Conclusion: The potential active compounds present in Rhizoma Musae decoction influence specific targets and signaling pathways involved in osteoarthritis pathogenesis, providing new insights for the functional development and utilization of RM.

Indexed as

network analysisosteoarthritisRhizoma Musae decoctionsignaling pathwaysUHPLC-Q-Exactive-MS/MS

Identifiers

PMID39822742
PMCPMC11735259

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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.