Evidence map›Paper›PMID 35371275›Full record

ArticleComputational and mathematical methods in medicine2022

Molecular Mechanism of Dayuan Decoction in the Treatment of Fever Based on Network Pharmacology.

Tielin Ye

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author.

Tielin YeShandong Second Provincial General Hospital, Jinan 250022, China.ORCID https://orcid.org/0000-0002-1308-8318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the molecular targets and mechanisms of Dayuan Decoction in the treatment of fever. Methods: The traditional Chinese medicine system pharmacological database and analysis platform (TCMSP) was used to search for the main active components and action targets of Dayuan Decoction. The GeneCards database was used to retrieve fever-related gene targets. The common gene targets were obtained by selecting the intersection of the action targets of the main active components of Dayuan Decoction and the fever-related gene targets using a Wayne diagram. Cytoscape 3.7.2 software was used to construct the drug active component action target network diagram. The protein-protein interaction PPI network of coacting targets was constructed using the STRING database. David data were used for Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of common gene targets. Results: A total of 89 main active components and 832 acting gene targets of Dayuan Decoction were screened, of which 50 were common gene targets of Dayuan Decoction and fever, including apoptosis regulatory factor Bel (BCL2L1), interleukin 6 (IL-6), interleukin 10 (IL-10), and tumor necrosis protein 53 (TP53). A total of 47 GO and 59 KEGG enrichment entries were obtained using GO and KEGG enrichment analyses, involving the cancer pathway, hypoxia-inducible factor 1 (HIF-1) signaling pathway, and mitogen-activated protein kinase (MAPK) signaling pathway. Conclusion: Dayuan Decoction has multitarget regulation characteristics and a multifaceted role in the treatment of fever.

Indexed as

Drugs, Chinese HerbalNetwork PharmacologyHumansMedicine, Chinese TraditionalProtein Interaction MapsdayuanDrugs, Chinese Herbal

Identifiers

PMID35371275
PMCPMC8975675
OpenAlexW4220883510

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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.