Evidence map›Paper›PMID 37309760›Full record

ArticleCurrent computer-aided drug design2024

Exploring the Molecular Mechanism of HongTeng Decoction against Inflammation based on Network Analysis and Experiments Validation.

Yuanyuan Yang, Chongwen Bi, Bin Li, Yun Li, Yin Song, Minghui Zhang, Longxi Peng, Dongmei Fan, Rong Duan, Zhengxiang Li

Open access · hybridAbstract read
In one paragraph

Article in Current computer-aided drug design, 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
0.4field-weighted citation impact, top 37% of its field
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, 2 citations in OpenAlex.

  1. Trial
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 at 2 institutions in 1 country.

Yuanyuan YangTianjin Medical University, General Hospital, Tianjin, 300052, China.
Chongwen BiTianjin Medical University, General Hospital, Tianjin, 300052, China.
Bin LiTianjin Medical University, General Hospital, Tianjin, 300052, China.
Yun LiTianjin Medical University, General Hospital, Tianjin, 300052, China.
Yin SongTianjin Medical University, General Hospital, Tianjin, 300052, China.
Minghui ZhangTianjin Medical University, General Hospital, Tianjin, 300052, China.
Longxi PengTianjin Medical University, General Hospital, Tianjin, 300052, China.
Dongmei FanTianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, China.
Rong DuanTianjin Medical University, General Hospital, Tianjin, 300052, China.
Zhengxiang LiTianjin Medical University, General Hospital, Tianjin, 300052, China.
Tianjin Medical University General Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHongTeng Decoction (HTD) is a traditional Chinese medicine that is widely used to treat bacterial infections and chronic inflammation. However, its pharmacological mechanism is not clear. Here, network pharmacology and experimental verification were applied to investigate the drug targets and potential mechanisms of HTD in inflammation treatment.

methodsThe active ingredients of HTD were collected from the multi-source databases and clarified by Q Exactive Orbitrap analysis in the treatment of inflammation. Then, molecular docking technology was used to explore the binding ability of key active ingredients and targets in HTD. In vitro experiments, the inflammatory factors and MAPK signaling pathways are detected to verify the anti-inflammatory effect of HTD on the RAW264.7 cells. Finally, the anti-inflammatory effect of HTD was evaluated in LPS induced mice model.

resultsA total of 236 active compounds and 492 targets of HTD were obtained through database screening, and 954 potential targets of inflammation were identified. Finally, 164 possible targets of HTD acting on inflammation were obtained. The PPI analysis and KEGG enrichment analyses showed that the targets of HTD in inflammation were mostly related to the MAPK signaling pathway, the IL-17 signaling pathway, and the TNF signaling pathway. By integrating the results of the network analysis, the core targets of HTD in inflammation mainly include MAPK3, TNF, MMP9, IL6, EGFR, and NFKBIA. The molecular docking results indicated solid binding activity between MAPK3-naringenin and MAPK3-paeonol. It has been shown that HTD could inhibit the levels of inflammatory factors, IL6 and TNF-α, as well as the splenic index in the LPS-stimulated mice. Moreover, HTD could regulate protein expression levels of p-JNK1/2, and p-ERK1/2, which reflects the inhibitory effect of HTD on the MAPKS signaling pathway.

conclusionOur study is expected to provide the pharmacological mechanisms by which HTD may be a promising anti-inflammatory drug for future clinical trials.

Indexed as

Interleukin-6LipopolysaccharidesAnimalsAnti-Inflammatory AgentsInflammationMiceMolecular Docking SimulationAnti-Inflammatory AgentsInterleukin-6LipopolysaccharidesHongTeng decoctioninflammationmolecular dockingnetwork analysisNetwork pharmacologytraditional medicinal

Identifiers

PMID37309760
PMCPMC10641852
OpenAlexW4380422820

What OpenQuestion holds

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LicenceCC BY
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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.