Evidence map›Paper›PMID 40219728›Full record

ArticlePharmaceutical biology2025

Integrated pharmacoanalysis, bioinformatics analysis, and experimental validation to identify the ingredients and mechanisms of Xiao-Luo-Wan in uterine fibroids treatment.

Yonghui Yu, Haojun Zhang, Fang Yang, Hong Liu

Abstract read
In one paragraph

Article in Pharmaceutical biology, 2025. 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. 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

4 authors.

Yonghui YuGynecological Department of Traditional Chinese Medicine, China-Japan Friendship Hospital, Beijing, China.
Haojun ZhangInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China.
Fang YangGynecological Department of Traditional Chinese Medicine, China-Japan Friendship Hospital, Beijing, China.
Hong LiuGynecological Department of Traditional Chinese Medicine, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextXiao-Luo-Wan (XLW), a classical prescription in traditional Chinese medicine, has therapeutic effects on uterine fibroids (UFs). Herein, its anti-UF effects were examined using a systematic pharmacological method.

objectiveTo explore the active ingredients of XLW MATERIALS AND

methodsA mass spectrometer was used to scrutinize the composition of the XLW drug-containing serum. The critical targets and potential mechanisms of XLW against UFs were predicted by network pharmacology and molecular docking. Next, human uterine leiomyoma cells (UMCs) were treated with 20%, 30%, or 40% XLW serum for 24 h, 48 h or 72 h. Cell viability was analyzed

resultsThere were 16 chemical components identified in XLW drug-containing serum, with 53 target genes predicated in the treatment of UFs. The molecular binding of core targets, including TRIM9, NF-κB and p38MAPK, was relatively stable to components, especially buergerinin B, cedrol and ent-15B-16-epoxy- kauan-17-ol. The DISCUSSION AND

conclusionsThe integration of mass spectrometry, network pharmacology, molecular docking and biological experiments revealed the key constituents of XLW and its pharmacological mechanism in UFs, which may help in the discovery of therapeutic agents for treating UFs.

Indexed as

Drugs, Chinese HerbalLeiomyomaUterine NeoplasmsApoptosisCell Line, TumorCell ProliferationCell SurvivalComputational BiologyFemaleHumansMolecular Docking SimulationNetwork PharmacologyDrugs, Chinese Herbalhuman uterine leiomyoma cellsmass spectrometrymolecular dockingnetwork pharmacologyuterine fibroidsXiao-Luo-wan (XLW)

Identifiers

PMID40219728
PMCPMC11999358

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.