Evidence map›Paper›PMID 39129158›Full record

ArticleCombinatorial chemistry & high throughput screening2025

Jingzhi Niuhuangjiedu Tablet Ameliorates Oral Mucositis

Chunlan Fan, Hongping Wang, Qiong Yin, Pin Li, Quantao Ma, Zhaozhou Lin, Chen Zhao, Ping Peng, Zijian Wang, Yingnan Lv and 1 more

Abstract read
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In one paragraph

Article in Combinatorial chemistry & high throughput screening, 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

11 authors.

Chunlan FanModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Hongping WangModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Qiong YinDepartment of Traditional Chinese Medicine Pharmacology, Beijing Zhongyan Tongrentang Medicine Research and Development Co., Ltd., Beijing, 100079, China.
Pin LiModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Quantao MaModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Zhaozhou LinDepartment of Traditional Chinese Medicine Pharmacology, Beijing Zhongyan Tongrentang Medicine Research and Development Co., Ltd., Beijing, 100079, China.
Chen ZhaoModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Ping PengModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Zijian WangModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.
Yingnan LvSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
Zhibin WangModern Research Center for Traditional Chinese Medicine, Beijing Tongrentang Science and Technology Development Co., Ltd., Beijing, 100079, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOral Mucositis (OM) is a common and highly symptomatic complication of cancer therapy that affects patient function and quality of life. Jingzhi Niuhuangjiedu Tablet (JNT) is derived from the famous Chinese herbal formulas Huanglian Jiedu and Fangfeng Tongsheng decoctions, which have been widely used to treat heat toxin syndrome diseases, such as acute pharyngitis, periodontitis, oral ulcers, and oral mucositis (OM), but the underlying mechanism remains unclear.

objectivesThis study validated the efficacy and explored the potential mechanisms of JNT in the treatment of OM by integrating network pharmacological analyses and experimental verification.

methodsNetwork pharmacology and molecular docking techniques were used to predict the active components, key targets, and potential mechanisms of action of JNT against OM. The rat OM model was established by administering 5-Fluorouracil (5-FU) and acetic acid to the rat oral mucosa. Lipopolysaccharide (LPS)-treated human gingival fibroblasts (HGFs) were used as an inflammatory cell model. The GFP-NFκB HEK293T cell line was transfected to evaluate the anti-NFκB activity of JNT.

resultsA total of 236 Chinese herbal components and 201 corresponding targets were predicted for OM treatment using JNT. Bicuculine, luteolin, wogonin, and naringenin were identified as the important active compounds, while AKT1, ALB, IL6, MAPK3, and VEGFA were considered to be the major targets. Molecular docking revealed that these active compounds exhibited strong binding interactions with their targets. In vivo and in vitro experiments demonstrated that the anti-OM effect of JNT might be closely related to AKT1, NFκB, caspase-1, and NLRP3, as well as biological processes, such as inflammatory response and oxidative stress.

conclusionNetwork pharmacological and experimental evidence indicates that JNT has a potential therapeutic effect on OM by regulating the Akt/NFκB/NLRP3 pathway.

Indexed as

Drugs, Chinese HerbalNLR Family, Pyrin Domain-Containing 3 ProteinSignal TransductionStomatitisAnimalsHumansMaleMolecular Docking SimulationNetwork PharmacologyNF-kappa BProto-Oncogene Proteins c-aktRatsRats, Sprague-DawleyTabletsDrugs, Chinese HerbalNF-kappa BNLR Family, Pyrin Domain-Containing 3 ProteinProto-Oncogene Proteins c-aktTabletsinflammationnetwork pharmacologyoral mucositisreactive oxygen species.Traditional chinese medicine

Identifiers

PMID39129158

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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.