Three nervous system-specific expressed genes are potential biomarkers for the diagnosis of sporadic amyotrophic lateral sclerosis through a bioinformatic analysis

Abstract

Abstract Background Amyotrophic lateral sclerosis (ALS) is the most common neurodegenerative disease in adults. However, ALS, especially sporadic ALS (sALS), is difficult to diagnose due to the lack of biomarkers. Results We used the bioinformatics technology to find the potential biomarker and we found that two hundred seventy-four DEGs were identified and enrichment analysis showed DEGs were involved in nervous system activity, like axon_guidance and the neurotrophin_signaling_pathway. Five nervous system-specific expressed hub genes were further validated by three GEO datasets. APP, LRRK2, and PSEN1 might be potential diagnostic and prognostic biomarkers of sALS, and NEAT1-miR-373-3p/miR-302c-3p/miR-372-3p-APP, circ_0000002-miR-302d-3p/miR-373-3p-APP and XIST-miR-9-5p/miR-30e-5p/miR-671-5p might be potential ceRNA regulatory pathways. APP SNP analysis showed subjects harboring the minor G allele of rs463946, minor G allele of rs466433 and minor C allele of rs364048 had an increased risk of sALS development. Conclusions Our results identified three nervous system-specific expressed hub genes that might be diagnostic and prognostic markers of sALS and APP might be a genetic susceptibility factor contributing to sALS development.

Keywords

• Sporadic amyotrophic lateral sclerosis
• Biomarker
• Competitive endogenous RNA
• Single nucleotide polymorphism
• Bioinformatic analysis