Evidence map›Paper›PMID 37741847›Full record

ArticleScientific reports2023

Elucidating the molecular mechanisms underlying anti-inflammatory effects of Morchella esculenta in the arachidonic acid metabolic pathway by network pharmacology and molecular docking.

Ma Xiaoying, Huo Zhiming, Yang Tao, Xiao Jun, Zhao Ying, Gong Na, Chen Xun, Liu Guoli, Wang Hong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  3. Evaluation ofFood science & nutrition · 2025
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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

9 authors at 1 institution in 1 country.

Ma XiaoyingThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Huo ZhimingInformation Center, Guidaojiaotong Polytechnic Institute, Shenyang, 110161, China.
Yang TaoThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Xiao JunThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Zhao YingThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Gong NaThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Chen XunThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Liu GuoliThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Wang HongThe Institute of Edible Fungi, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China. wang45852676@sina.com.
Liaoning Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morchella esculenta is an edible fungus with a uniquely delicious flavor and remarkable benefits for health. Herein, the molecular mechanism underlying the anti-inflammatory effects of Morchella esculenta was elucidated using molecular docking and network pharmacology. NPASS, Super-pred, SEA, Swiss Target Prediction, GeneCards, DisGeNET, Omim database, and STRING platform were used to select anti-inflammatory targets and construct target protein interaction networks using the active ingredients of Morchella esculenta. The OmicShare cloud platform was used to analyze GO functions and KEGG pathways related to the target, and the AutoDock Vina software was used to perform molecular docking and molecular dynamics (MD) simulation on the main target. Based on Cytoscape's "Network Analysis", the degree was used to identify potential key targets, and different inflammatory transcriptome data sets were used to evaluate core targets showing clinical significance. The active ingredient of Morchella esculenta identified from the NPASS database was EOYA, which had 43 anti-inflammatory targets, including NR1I2, PTGS1, PTGS2, CYP4F2, CYP3A4, TLR4, MAPK1, PLA2G4A, and PTPN11, and was mainly implicated in arachidonic acid metabolism, vascular endothelial growth factor signal pathway, and sphingomyelin signal transduction pathway, indicating that the anti-inflammatory effects of EOYA were mainly related to these biological processes. The degree was used to select 9 potential effective targets, namely NR1I2, PTGS1, PTGS2, CYP4F2, CYP3A4, TLR4, MAPK1, PLA2G4A, and PTPN11, among which NR1I2, PTGS1, PTGS2, PLA2G4A, MAPK1, CYP3A4, and TLR4 showed clinical significance. Molecular docking results showed that (E)-Octadec-11-En-9-Ynoic Acid (EOYA) could spontaneously bind to the 9 core targets, and the binding fractions of NR1I2, PTGS1, PTGS2, CYP4F2, and CYP3A4 were the highest. The MD simulation results showed that EYOA did indeed bind well NR1I2 to PTGS2, and the complex has high stability. Morchella esculenta can regulate the activity of prostaglandin endoperoxide synthetase, and affect the biosynthesis of prostaglandins, thereby impacting the metabolic pathway of arachidonic acid.

Indexed as

Cytochrome P-450 CYP3ANetwork PharmacologyAlkynesArachidonic AcidAscomycotaCyclooxygenase 2Fatty Acids, UnsaturatedMolecular Docking SimulationPregnane X ReceptorProtein Interaction MapsToll-Like Receptor 4Vascular Endothelial Growth Factor A9-stearolic acidAlkynesArachidonic AcidCyclooxygenase 2Cytochrome P-450 CYP3AFatty Acids, UnsaturatedPregnane X ReceptorToll-Like Receptor 4Vascular Endothelial Growth Factor A

Identifiers

PMID37741847
PMCPMC10517965
OpenAlexW4386980344

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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.