Evidence map›Paper›PMID 36777627›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2023

Dehydrovomifoliol Alleviates Nonalcoholic Fatty Liver Disease

Ji Ma, Ruya Li, Fang Xu, Fang Zhu, Xiangwei Xu

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Article in Evidence-based complementary and alternative medicine : eCAM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ji MaDepartment of Gastroenterology, The First People's Hospital of Yongkang, Affiliated to Hangzhou Medical College, Jinhua 321300, China.
Ruya LiDepartment of Pharmacy, The People's Hospital of Jinyun, Lishui 321400, China.
Fang XuDepartment of Gastroenterology, The First People's Hospital of Yongkang, Affiliated to Hangzhou Medical College, Jinhua 321300, China.
Fang ZhuDepartment of Gastroenterology, The First People's Hospital of Yongkang, Affiliated to Hangzhou Medical College, Jinhua 321300, China.
Xiangwei XuDepartment of Pharmacy, The First People's Hospital of Yongkang, Affiliated to Hangzhou Medical College, Jinhua 321300, China.ORCID https://orcid.org/0000-0003-0035-4303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Herbal medicine discovery is a complex and time-consuming process, while pharmacophore modeling and molecular docking methods enable simple and economic studies. The pharmacophore model provides an abstract description of essential intermolecular interactions between chemical structures, and the molecular docking technology can identify novel compounds of therapeutic interests and predict the ligand-target interaction at the molecular level. This study was based on the two methods to elucidate the mechanism of dehydrovomifoliol, an active ingredient extracted from Methods: Bioinformatics analysis was performed to screen target genes of dehydrovomifoliol in NAFLD treatment, which were thus intersected with NAFLD-related differentially expressed genes (DEGs) and NAFLD-related genes. Venn diagram was used to identify candidate DEGs. A pharmacophore model was then generated, and molecular docking was performed. A protein-protein interaction (PPI) network was constructed to identify core genes, which were evaluated using GO and the KEGG enrichment analyses. Results: Seven target genes of dehydrovomifoliol in NAFLD treatment were screened out, namely E2F1, MERTK, SOX17, MMP9, SULT2A1, VEGFA, and BLVRA. The pharmacophore model and molecular docking of candidate DEGs and dehydrovomifoliol were successfully constructed. E2F1 was identified as a core gene of dehydrovomifoliol in NAFLD treatment. Further enrichment analysis indicated the regulatory role of E2F1 in fat metabolism was associated with the regulation of the AKT/mTOR signaling pathway. Conclusion: Overall, this study illustrates the anti-NAFLD mechanism of dehydrovomifoliol, which could be a useful compound for developing novel drugs in the treatment of NAFLD.

Identifiers

PMID36777627
PMCPMC9908351

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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.