Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder featuring impairment in verbal and non-verbal interactions, defects in social interactions, stereotypic behaviors as well as restricted interests. In recent times, the incidence of ASD is growing at a rapid pace. In spite of great endeavors devoted to explaining ASD pathophysiology, its precise etiology remains unresolved. ASD pathogenesis is related to different phenomena associated with the immune system; however, the mechanisms behind these immune phenomena as well as the potential contributing genes remain unclear. In the current work, we used a bioinformatics approach to describe the role of long non-coding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs) in the peripheral blood (PB) samples to figure out the molecular regulatory procedures involved in ASD better. The Gene Expression Omnibus database was used to obtain the PB microarray dataset (GSE89594) from the subjects suffering from ASD and control subjects, containing the data related to both mRNAs and lncRNAs. The list of immune-related genes was obtained from the ImmPort database. In order to determine the immune-related differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs), the limma package of R software was used. A protein-protein interaction network was developed for the immune-related DEmRNAs. By employing the Human MicroRNA Disease Database, DIANA-LncBase, and DIANA-TarBase databases, the RNA interaction pairs were determined. We used the Pearson correlation coefficient to discover the positive correlations between DElncRNAs and DEmRNAs within the ceRNA network. Finally, the lncRNA-associated ceRNA network was created based on DElncRNA-miRNA-DEmRNA interactions and co-expression interactions. In addition, the KEGG enrichment analysis was conducted for immune-related DEmRNAs found within the constructed network. This work found four potential DElncRNA-miRNA-DEmRNA axes in ASD pathogenesis, including, //, //, //, and //. According to pathway enrichment analysis, the immune-related DEmRNAs were enriched in the "JAK-STAT signaling pathway" and "Adipocytokine signaling pathway." An understanding of regulatory mechanisms of ASD-related immune genes would provide novel insights into the molecular mechanisms behind ASD pathogenesis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568055PMC
http://dx.doi.org/10.3389/fmolb.2021.754296DOI Listing

Publication Analysis

Top Keywords

asd pathogenesis
12
immune-related demrnas
12
immune-related genes
8
autism spectrum
8
spectrum disorder
8
asd
8
cerna network
8
enrichment analysis
8
signaling pathway"
8
immune-related
6

Similar Publications

Autism spectrum disorder (ASD) is a neurodevelopmental condition that is increasingly linked to immune dysfunction and neuroinflammation. Regulatory T cells (Tregs), which are crucial in maintaining immune homeostasis, have been implicated in the pathogenesis of ASD. However, their role in neuroimmune interactions and behavioral outcomes remains poorly understood.

View Article and Find Full Text PDF

Potential Mechanism Connecting Preeclampsia to Autism Spectrum Disorder in Offspring: The Role of Microglial Abnormalities.

Front Biosci (Landmark Ed)

August 2025

Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, 200011 Shanghai, China.

Preeclampsia (PE) is a serious complication of pregnancy characterized by chronic inflammation and immune dysregulation, which significantly increases the risk of neurodevelopmental disorders in offspring, including the autism spectrum disorder (ASD). This review investigated the potential mechanisms linking PE to ASD, with a particular focus on the role of microglial abnormalities. Epidemiological studies have revealed that prenatal exposure to PE raised the risk of ASD, with affected offspring showing increased odds ratios.

View Article and Find Full Text PDF

Performance comparison of germline variant calling tools in sporadic disease cohorts.

Mol Genet Genomics

September 2025

Human Phenome Institute, MOE Key Laboratory of Contemporary Anthropology, Zhangjiang Fudan International Innovation Center, Fudan University, 825 Zhangheng Road, Shanghai, 201203, China.

Accurate variant calling is essential for next-generation sequencing (NGS)-based diagnosis of rare diseases, yet most benchmarking studies have focused on standard cell lines or trio-based samples, with limited relevance to sporadic cases. Here, we systematically compared the performance of DeepVariant and GATK HaplotypeCaller in two Chinese cohorts of patients with sporadic epilepsy (EP) and autism spectrum disorder (ASD). DeepVariant exhibited higher precision and sensitivity in detecting single nucleotide variants (SNVs), while GATK showed a distinct advantage in identifying rare variants, which are often key to understanding the genetic basis of rare diseases.

View Article and Find Full Text PDF

Context: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by challenges in social communication and repetitive behaviors. Its etiology is influenced by a combination of genetic and environmental factors. Variations in the methylenetetrahydrofolate reductase (MTHFR) gene, which is implicated in folate metabolism and neurodevelopment, are widespread in the autism population.

View Article and Find Full Text PDF

Metal micronutrient dyshomeostasis appears to be involved in the risk of autism spectrum disorders (ASD). Selenium (Se), copper (Cu) and zinc (Zn) are essential for the defence against oxidative stress (OS), a key factor in the maintenance of synaptogenesis and neurogenesis. This study assessed plasma concentrations of Se, Cu, and Zn, along with their ratios, malondialdehyde (MDA) levels, and erythrocyte glutathione peroxidase (GPx1) activity in Algerian children with ASD.

View Article and Find Full Text PDF