Exploring the Molecular Targets for Type 2 Diabetes-Induced Alzheimer’s Disease Through Bioinformatics Analysis

Gao, Lin; Huang, Chengyu; Li, Hui; Wu, Shidi; Zhou, Xiaoyan; Ying, Changjiang

doi:10.2217/epi-2023-0149

Cited by 1 publication

(1 citation statement)

References 54 publications

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“…Using the Metascape platform, 10 potential targets were identified, out of which 7 showed pharmacological interactions with monoclonal antibodies, anticancer drugs, and flavonoid derivatives currently in use. Gao et al (2023) identified significant differentially expressed genes common to T2DM and AD by WGCNA. Molecular docking prediction showed that CD44 and STAT3 may play a significant role in the development of T2DM-induced AD.…”

Section: Identification Of Shared Candidate Biomarkers Between Ad And...mentioning

confidence: 99%

A review and analysis of key biomarkers in Alzheimer’s disease

Zhang,

Liu,

Zhang

et al. 2024

Front. Neurosci.

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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects over 50 million elderly individuals worldwide. Although the pathogenesis of AD is not fully understood, based on current research, researchers are able to identify potential biomarker genes and proteins that may serve as effective targets against AD. This article aims to present a comprehensive overview of recent advances in AD biomarker identification, with highlights on the use of various algorithms, the exploration of relevant biological processes, and the investigation of shared biomarkers with co-occurring diseases. Additionally, this article includes a statistical analysis of key genes reported in the research literature, and identifies the intersection with AD-related gene sets from databases such as AlzGen, GeneCard, and DisGeNet. For these gene sets, besides enrichment analysis, protein–protein interaction (PPI) networks utilized to identify central genes among the overlapping genes. Enrichment analysis, protein interaction network analysis, and tissue-specific connectedness analysis based on GTEx database performed on multiple groups of overlapping genes. Our work has laid the foundation for a better understanding of the molecular mechanisms of AD and more accurate identification of key AD markers.

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Section: Identification Of Shared Candidate Biomarkers Between Ad And...mentioning

confidence: 99%