Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 31, 2025

Alzheimer's disease (AD) is a complex neurodegenerative disorder that currently lacks effective treatment options. This study aimed to identify potential therapeutic targets for the of AD using comprehensive bioinformatics methods and machine learning algorithms. By integrating differential gene expression analysis, weighted co-expression network Mfuzz clustering, single-cell RNA sequencing, algorithms including LASSO regression, SVM-RFE, random forest, five hub genes related AD, PLCB1, NDUFAB1, KRAS, ATP2A2, CALM3 were identified. in particular, exhibited highest diagnostic value showed significant correlation with Braak stages neuronal expression. Furthermore, Noscapine, PX-316, TAK-901 selected as drugs based on PLCB1. research provides reliable method discovery construction models, offering important insights directions future strategies drug development.

Language: Английский

Optimizing proliferation and synchronization for somatic embryogenesis in Quercus aliena

Plant Cell Tissue and Organ Culture (PCTOC), Journal Year: 2025, Volume and Issue: 161(1)

Published: March 28, 2025

Language: Английский

Nitrogen Deposition Mitigates Ozone-Induced Stress in Quercus aliena: Transcriptomic and Metabolomic Perspectives

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126158 - 126158

Published: March 1, 2025

Language: Английский