Evidence map›Paper›PMID 39044161›Full record

ArticleGenes & nutrition2024

Exploring the therapeutic potential of garlic in alcoholic liver disease: a network pharmacology and experimental validation study.

Siqi Gao, Tingting Gao, Lizheng Li, Shule Wang, Jie Hu, Ruijing Zhang, Yun Zhou, Honglin Dong

Abstract read
In one paragraph

Article in Genes & nutrition, 2024. 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
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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

8 authors.

Siqi Gao *Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Tingting Gao *Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Lizheng LiDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Shule WangDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Jie HuDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Ruijing ZhangDepartment of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Yun ZhouShanxi Province Integrated Traditional and Western Medicine Hospital, Taiyuan, China. zhouyun_sx@163.com.
Honglin DongDepartment of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China. honglindong@sxmu.edu.cn.

Funding

Development and Reform Commission of Shanxi Province 2022017Health Commission of Shanxi Province SCP-2023-17National Natural Science Foundation of China 62027901, U21A20386Shanxi Provincial Science and Technology Department 202204041101038
6 · The paper itself

Abstract

objectiveEmploying network pharmacology and molecular docking, the study predicts the active compounds in garlic and elucidates their mechanism in inhibiting the development of alcoholic liver disease (ALD). ALD is a global chronic liver disease with potential for hepatocellular carcinoma progression.

methodsThe main active ingredients and targets of garlic were identified through screening the TCMSP, TCM-ID, and ETCM databases. ALD disease targets were sourced from DisGeNET, GeneCards, and DiGSeE databases, and intervention targets for garlic were determined through intersections. Protein interaction networks were constructed using the STRING platform, and GO and KEGG pathway enrichment analyses were performed with R software. The garlic component-disease-target network was established using Cytoscape software. Validation of active ingredients against core targets was conducted through molecular docking simulations using AutoDock Vina software. Expression validation of core targets was carried out using human sequencing data of ALD obtained from the GEO database.

resultsIntegration of garlic drug targets with ALD disease targets identified 83 target genes. Validation through an alcohol-induced ALD mouse model supported certain network pharmacology findings, suggesting that garlic may impede disease progression by mitigating the inflammatory response and promoting ethanol metabolism.

conclusionThis study provides insights into the potential therapeutic mechanisms of garlic in inhibiting ALD development. The identified active ingredients offer promising avenues for further investigation and development of treatments for ALD, emphasizing the importance of botanical remedies in liver disease management.

Indexed as

Alcohol dehydrogenasesAlcoholic liver diseaseGarlicMolecular dockingNetwork pharmacology

Identifiers

PMID39044161
PMCPMC11267778

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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.