Exploring Alcoholic Dementia: Integrated Bioinformatics of Alzheimer’s Disease and Alcohol Use Disorder with Preliminary EGCG Evaluation
- 1Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao 266073, China
- 2Shandong Key Laboratory of Pathogenesis and Prevention of Brain Diseases, Qingdao 266073, China
- 3School of Pharmacy, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
Abstract
Alcohol use disorder (AUD) is a major cause of cognitive impairment, yet the molecular mechanisms underlying alcoholic dementia remain unclear. Epigallocatechin gallate (EGCG), the major catechin in green tea, has shown neuroprotective potential, but its targets in alcoholic dementia are undefined. This study aimed to explore disease-associated candidate molecular markers and potential EGCG-related targets in alcoholic dementia through integrated bioinformatics, machine learning, molecular docking, and experimental analyses. Differentially expressed genes (DEGs) from GEO datasets GSE5281 and GSE62699 were subjected to functional enrichment, protein–protein interaction (PPI) network analysis, and machine learning-based feature selection. Exploratory receiver operating characteristic (ROC) analysis, immune infiltration analysis, molecular docking, and experimental assays were subsequently performed. We identified 60 overlapping DEGs enriched in synaptic signaling, postsynaptic structure, GABA-A receptor activity, and cytokine receptor activity. IL-1R1 and ID3 were identified as candidate genes associated with immune infiltration, and both were upregulated in the hippocampus of ethanol-exposed mice. These findings highlight IL1R1 and ID3 as exploratory candidate genes and provide a preliminary basis for further investigation of EGCG in the context of alcohol-associated cognitive impairment.
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BibTeX
@article{lv2026exploring,
title = {{Exploring Alcoholic Dementia: Integrated Bioinformatics of Alzheimer’s Disease and Alcohol Use Disorder with Preliminary EGCG Evaluation}},
author = {Ming-Ti Lv and Chun-Xu Li and Huan Tu and Mei Han and Han-Ting Zhang},
journal = {Nutrients},
year = {2026},
month = nov,
doi = {10.3390/nu18223752},
url = {https://www.mdpi.com/2072-6643/18/22/3752},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Exploring Alcoholic Dementia: Integrated Bioinformatics of Alzheimer’s Disease and Alcohol Use Disorder with Preliminary EGCG Evaluation
AU - Ming-Ti Lv
AU - Chun-Xu Li
AU - Huan Tu
AU - Mei Han
AU - Han-Ting Zhang
PY - 2026
DA - 2026/11/12
JO - Nutrients
DO - 10.3390/nu18223752
UR - https://www.mdpi.com/2072-6643/18/22/3752
AB - Alcohol use disorder (AUD) is a major cause of cognitive impairment, yet the molecular mechanisms underlying alcoholic dementia remain unclear. Epigallocatechin gallate (EGCG), the major catechin in green tea, has shown neuroprotective potential, but its targets in alcoholic dementia are undefined. This study aimed to explore disease-associated candidate molecular markers and potential EGCG-related targets in alcoholic dementia through integrated bioinformatics, machine learning, molecular docking, and experimental analyses. Differentially expressed genes (DEGs) from GEO datasets GSE5281 and GSE62699 were subjected to functional enrichment, protein–protein interaction (PPI) network analysis, and machine learning-based feature selection. Exploratory receiver operating characteristic (ROC) analysis, immune infiltration analysis, molecular docking, and experimental assays were subsequently performed. We identified 60 overlapping DEGs enriched in synaptic signaling, postsynaptic structure, GABA-A receptor activity, and cytokine receptor activity. IL-1R1 and ID3 were identified as candidate genes associated with immune infiltration, and both were upregulated in the hippocampus of ethanol-exposed mice. These findings highlight IL1R1 and ID3 as exploratory candidate genes and provide a preliminary basis for further investigation of EGCG in the context of alcohol-associated cognitive impairment.
SN - 2072-6643
ER -