Back

The utility of 8-Hydroxydeoxyguanosine and 8-Oxoguanine DNA glycosylase as a novel diagnostic marker for autistic children

Ismael, H. M.; Ismail, P. A.

2025-01-21 medical education
10.1101/2025.01.15.25320384 medRxiv
Show abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition that develops in childhood. Although genetics are a key factor in its development, neurological, environmental, and immunological influences also play significant roles. This study investigated the oxidative DNA damage (ODD) biomarker 8-hydroxy-2-deoxyguanosine (8OHdG) in children with autism, exploring its connection to disease severity and the DNA repair enzyme oxoguanine glycosylase 1 (OGG1). This study investigated the oxidative DNA damage (ODD) biomarker, 8-hydroxy-2-deoxyguanosine (8OHdG), in children with autism, examining its relationship with disease severity and the DNA repair enzyme oxoguanine glycosylase 1 (OGG1). The study included 89 children with ASD and 29 typically developing children in an observational controlled cross-sectional design. Autism severity was assessed using the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). ELISA was used to measure serum levels of 8-OHdG and OGG1.The results showed that children with autism had significantly higher serum 8-OHdG levels compared to healthy children (P=0.04), with a significant positive correlation with autism severity (P=0.02). Additionally, serum OGG1 levels were significantly lower in children with autism than in their healthy counterparts (P=0.0004), with a notable positive association with disease severity (P=0.0001). These findings indicate that elevated serum 8-OHdG levels may play a key role in oxidative DNA damage in ASD. Higher levels of 8-OHdG in children with severe ASD symptoms could serve as a potential biomarker for diagnosis. Furthermore, the reduced levels of the repair enzyme OGG1, associated with increased 8-OHdG levels, contribute to the observed DNA damage in ASD.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.