The gene expression patterns of neuronal cells reveal the pathogenesis of autism.

ABSTRACT:

Objective

To explore the effects of early comprehensive and specific behavioral interventions on improving social communication and attenuating anxiety in autism patients.

Methods

This study was based on the modular comprehensive analysis method and explored the neurotransmitter conduction mechanism in the pathogenesis of autism. We downloaded autism-related data from the Gene Expression Omnibus (GEO) database and performed a differential analysis, a co-expression Network Analysis (WGCNA) analysis, a GO function, and a KEGG pathway enrichment analysis. Finally, we predicted the non-coding RNAs (ncRNAs) and transcription factors (TFs) that regulate the module on the basis of hypergeometric testing.

Results

We obtained five co-expression modules, in which the active regulatory effects of the MTA3, PHB2, TNXB, DCTN2, and RBM23 genes in the dysfunction modules were obtained. The module genes were predominantly involved in biological processes and significantly regulated the mRNA monitoring and calcium signaling pathways. In addition, we identified a prominent regulation effect of the ncRNA and TF pivots on the dysfunction modules.

Conclusions

This study deciphered a comprehensive network of key genes involved in autism, and it reveals the main dysfunction modules, the latent regulatory factors, and the driver genes for autism, contributing to our further understanding of the mechanisms of autism neuronal conduction disorders.

SUBMITTER: Ding M 

PROVIDER: S-EPMC8430060 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature