Mechanism of nitrogen metabolism-related parameters and enzyme activities in the pathophysiology of autism

<p>Abstract</p> <p>Background</p> <p>There is evidence that impaired metabolism play an important role in the etiology of many neuropsychiatric disorders. Although this has not been investigated to date, several recent studies proposed that nitrogen metabolism-related parameters may have a pathophysiological role in autism.</p> <p>Methods</p> <p>The study enrolled 20 Saudi boys with autism aged 4 to 12 years and 20 healthy controls matched for age and gender. Levels of creatine, urea, ammonia, gamma-aminobutyric acid (GABA), glutamate:glutamine (Glu:Gln) ratio, and enzymatic activities of glutamate dehydrogenase, 5'-nucleotidase, and adenosine deaminase (ADA) were determined in plasma samples from both groups.</p> <p>Results</p> <p>We found a significant elevation of creatine, 5'-nucleotidase, GABA, and glutamic acid and a significant decrease in the enzymatic activity of ADA and glutamine level in patients with autism compared with healthy controls. The most significant variation between the two groups was found in the Glu:Gln ratio.</p> <p>Conclusion</p> <p>A raised Glu:Gln ratio together with positive correlations in creatine, GABA, and 5'-nucleotidase levels could contribute to the pathophysiology of autism, and might be useful diagnostic markers. The mechanism through which these parameters might be related to autism is discussed in detail.</p

Manifestazioni cliniche in 58 pazienti con “segno del dente molare” (MTI)

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Brain morphometry of preschool age children affected by autism spectrum disorder: Correlation with clinical findings

The aim of our study was to use a combined imaging and clinical approach to identify possible patterns of clinical and imaging findings in a cohort of preschool age autism spectrum disorder (ASD) patients. In order to identify imaging patterns that could be related to specific clinical features, a selected group of ASD patients (age range 3-6 years) without dysmorphic features, epilepsy or other major neurological signs, malformations or other lesions at MRI was subjected to brain volumetric analysis using semiautomatic brain segmentation. An age-matched group of typically developing children was subjected to the same analysis. Our results were consistent with previous literature: Total gray matter volume, total cortical gray matter volume and amygdalar volumes were significantly greater in the ASD group than the control group. When we divided the study group into subgroups on the basis of clinical findings such as high- or low-functioning, or verbal and nonverbal, the only significant difference between verbal and nonverbal subjects was in cerebellar hemispheric size. In conclusions, our results confirm that newer brain MRI techniques using semiautomatic brain segmentation can provide information useful for defining the differences between ASD patients and controls, particularly if they form part of an integrated approach between MRI and cognitive-behavioral and genetic data