Autism spectrum disorders (ASD) is characterized by three core symptoms with impaired reciprocal social interaction and communication, a pattern of repetitive behavior and/or restricted interests in early childhood. The prevalence is higher in male children than in female children. As a complex neurodevelopmental disorder, the phenotype and severity of autism are extremely heterogeneous with differences from one patient to another. Genetics has a key role in the etiology of autism. Environmental factors are also interacting with the genetic profile and cause abnormal changes in neuronal development, brain growth, and functional connectivity. The term of exome represents less than 1% of the human genome, but contains 85% of known disease-causing variants. Whole-exome sequencing (WES) is an application of the next generation sequencing technology to determine the variations of all coding regions, or exons of known genes. For this reason, WES has been extensively used for clinical studies in the recent years. WES has achieved great success in the past years for identifying Mendelian disease genes. This review evaluates the potential of current findings in ASD for application in next generation sequencing technology, particularly WES. WES and whole-genome sequencing (WGS) approaches may lead to the discovery of underlying genetic factors for ASD and may thereby identify novel therapeutic targets for this disorder.
Autistic Disorder* ; Brain ; Child ; Autism Spectrum Disorder* ; Clinical Coding ; Exome* ; Exons ; Female ; Genetics ; Genome, Human ; Humans ; Interpersonal Relations ; Male ; Neurons ; Phenotype ; Prevalence

Objective: Pathways associated with glutamate receptors are known to play a role in the pathophysiology of attention-deficit hyperactivity disorder (ADHD). However, cyclin-dependent kinase 5 (CDK5), microtubule-associated protein-2 (MAP2), guanylate kinase-associated protein (GKAP), and postsynaptic density 95 (PSD95), all of which are biomarkers involved in neurodevelopmental processes closely related to glutamatergic pathways, have not previously been studied in patients with ADHD. The main purpose of this study was to evaluate the plasma levels of CDK5, MAP2, GKAP, and PSD95 in children with ADHD and investigate whether these markers have a role in the etiology of ADHD. Methods: Ninety-six children with ADHD between 6 and 15 years of age and 72 healthy controls were included in the study. Five milliliters of blood samples were taken from all participants. The samples were stored at −80°C until analyzed by the enzyme-linked immunosorbent assay method. Results: Statistically significantly lower CDK5 levels were observed in children with ADHD than in healthy controls (p = 0.037). The MAP2, GKAP, and PSD95 levels were found to be statistically significantly higher in the ADHD group than in healthy controls (p = 0.012, p = 0.009, and p = 0.024, respectively). According to binary regression analysis, CDK5 and MAP2 levels were found to be predictors of ADHD. Conclusion In conclusion, we found that a close relationship existed between ADHD and glutamatergic pathways, and low levels of CDK5 and high levels of MAP2 and GKAP played a role in the etiopathogenesis of ADHD.