Assessment of DDAH1 and DDAH2 Contributions to Psychiatric Disorders via In Silico Methods.
Alena A KozlovaAnastasia N VaganovaRoman N RodionovRaul R GainetdinovNadine BernhardtPublished in: International journal of molecular sciences (2022)
The contribution of nitric oxide synthases (NOSs) to the pathophysiology of several neuropsychiatric disorders is recognized, but the role of their regulators, dimethylarginine dimethylaminohydrolases (DDAHs), is less understood. This study's objective was to estimate DDAH1 and DDAH2 associations with biological processes implicated in major psychiatric disorders using publicly accessible expression databases. Since co-expressed genes are more likely to be involved in the same biologic processes, we investigated co-expression patterns with DDAH1 and DDAH2 in the dorsolateral prefrontal cortex in psychiatric patients and control subjects. There were no significant differences in DDAH1 and DDAH2 expression levels in schizophrenia or bipolar disorder patients compared to controls. Meanwhile, the data suggest that in patients, DDAH1 and DDHA2 undergo a functional shift mirrored in changes in co-expressed gene patterns. This disarrangement appears in the loss of expression level correlations between DDAH1 or DDAH2 and genes associated with psychiatric disorders and reduced functional similarity of DDAH1 or DDAH2 co-expressed genes in the patient groups. Our findings evidence the possible involvement of DDAH1 and DDAH2 in neuropsychiatric disorder development, but the underlying mechanisms need experimental validation.
Keyphrases
- end stage renal disease
- bipolar disorder
- nitric oxide
- ejection fraction
- poor prognosis
- chronic kidney disease
- newly diagnosed
- prefrontal cortex
- rheumatoid arthritis
- prognostic factors
- gene expression
- dna methylation
- genome wide
- case report
- deep learning
- mass spectrometry
- major depressive disorder
- electronic health record
- genome wide identification
- hydrogen peroxide
- high frequency
- transcranial direct current stimulation
- single molecule
- data analysis