Affiliation:
1. Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and
Technology, Wuhan 430030 China
2. Department of General Medicine, Tongji Hospital, Tongji Medical College,
Huazhong University of Science and Technology, Wuhan, China
Abstract
Background:
Alzheimer's disease (AD) is a progressive neurodegenerative disease affecting
the elderly, characterized by decreased cognitive function. Non-coding RNAs contribute to AD
pathogenesis.
Objective:
To identify potential therapeutic targets for AD, competing endogenous RNA (ceRNA)
networks were constructed using the hippocampus of 6-month-old amyloid precursor protein/
presenilin 1 double transgenic (APP/PS1) and wild-type mice.
Methods:
RNA-seq data (GSE158995), generated from the hippocampus of APP/PS1 and wild-type
mice, were analyzed with the limma R package to identify significantly differentially expressed
mRNAs and circRNAs (DEMs and DECs, respectively). DEM Gene Ontology (GO) and Kyoto Encyclopedia
of Genes and Genomes (KEGG) analyses were performed using Enrichr
(https://maayanlab.cloud/Enrichr/). Correlations between DEMs and DECs were determined using
the ggcorrplot R package. Main clusters and hub DEMs were selected using the STRING database
and Cytoscape software. ceRNA interactions were predicted with the miRTarbase and Starbase tools
and constructed with the ggalluvial R package and Cytoscape software. ceRNA networks were validated
using the quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and Western
blot.
Results:
198 DEMs and 90 DECs were differentially expressed in APP/PS1 vs. wild-type hippocampus.
DEM GO analysis revealed significant enrichment in transcription regulation, which was subdivided
into three main clusters: transcription regulation, synaptic plasticity, and protein refolding.
Within the transcription regulation cluster, AP-1 transcription factor components serve as hub genes.
The mmu_circ_0001787(circGLCE)/miR-339-5p/Junb and mmu_circ_0001899(circFAM120C)/
miR-181a-5p/Egr1 ceRNA networks were established based on qRT-PCR and Western blot analysis.
Conclusion:
Two AP-1 transcription factor component-related ceRNA networks, circGLCE/miR-
339-5p/Junb and circFAM120C/miR-181a-5p/Egr1, were constructed using a mouse model of AD.
These ceRNA networks may contribute to transcription regulation in AD and provide potential biomarkers
for AD diagnosis and treatment.
Funder
National Natural Science Foundation of China
Tongji Hospital (HUST) Foundation for Excellent Young Scientists
Publisher
Bentham Science Publishers Ltd.
Subject
Neurology (clinical),Neurology
Cited by
4 articles.
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