Identification of the Shared Gene Signatures Between Alzheimer’s Disease and Diabetes-Associated Cognitive Dysfunction by Bioinformatics Analysis Combined with Biological Experiment

This study is the first to use bioinformatics tools to uncover the genetic link between AD and DACD. GAD1, UCHL1, GAP43, CARNS1, TAGLN3, and SH3GL2 were identified as key genes connecting AD and DACD. These findings offer new insights into the diseases' pathogenesis and potential diagnostic and therapeutic targets.

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Publication Details

Journal
Journal of Alzheimer s Disease
Published
2024-08-30
DOI
https://doi.org/10.3233/jad-240353
Citations
3
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.70

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article

Identification of the Shared Gene Signatures Between Alzheimer’s Disease and Diabetes-Associated Cognitive Dysfunction by Bioinformatics Analysis Combined with Biological Experiment

Zhijun Bao, Xueying Ji, Yixin Chen
3 citations
Journal of Alzheimer s Disease
Bioinformatics and Genomic Networks
0.70
article

Identification of the Shared Gene Signatures Between Alzheimer’s Disease and Diabetes-Associated Cognitive Dysfunction by Bioinformatics Analysis Combined with Biological Experiment

Zhijun Bao, Xueying Ji, Yixin Chen
article en
3 citations

Abstract

This study is the first to use bioinformatics tools to uncover the genetic link between AD and DACD. GAD1, UCHL1, GAP43, CARNS1, TAGLN3, and SH3GL2 were identified as key genes connecting AD and DACD. These findings offer new insights into the diseases' pathogenesis and potential diagnostic and therapeutic targets.

Journal of Alzheimer s DiseaseVol. 101(2)
Fudan University (CN), Huadong Hospital (CN), Shanghai Public Health Clinical Center (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 30%
Bioinformatics and Genomic Networks
0.70
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