👤 Mohammad Rezazadeh

Mutations in the branched-chain keto-acid dehydrogenase kinase gene (BCKDK), leading to low plasma branched-chain amino acids (BCAAs) levels, have been reported as a contributor to comorbid intellectual disability, autism, epilepsy, and neurodevelopmental delay (NDD). Due to the rarity of knowledge about these mutations, the current case series aims to introduce four confirmed cases. This case series study analyzed children from a neurometabolic clinic. Social and adaptive functions were assessed using the vineland social maturity scale (VSMS). Whole exome sequencing (WES) identified genetic variants filtered using population databases. Candidate variants were confirmed through Sanger sequencing and interpreted based on ACMG guidelines. Four children of unrelated consanguineous families suffering from global NDD and autism were referred to our center. Neuroimaging assessments revealed negligible findings; thus, metabolic tests were sent, in which BCAAs were lower than normal limits. Therefore, genetic testing was done, and genetic variants compatible with BCKDK deficiency were detected. By initiating a BCAAs-rich regimen, the patients had significant improvements in psychomotor and speech development. The diagnosis of BCKDK deficiency should be suspected in patients with NDD and autism, and BCAA supplementation should be initiated as soon as diagnosis confirmation to prevent irreversible brain damage. The results emphasize that early diagnosis and dietary intervention by regulating plasma BCAA levels lead to the prevention of irreversible neurodevelopmental implications. Show less

Schizophrenia (SCZ) is a serious mental condition with an unknown cause. According to the reports, Brodmann Area 10 (BA10) is linked to the pathology and cortical dysfunction of SCZ, which demonstrates a number of replicated findings related to research on SCZ and the dysfunction in tasks requiring cognitive control in particular. Genetics' role in the pathophysiology of SCZ is still unclear. Therefore, it may be helpful to understand the effects of these changes on the onset and progression of SCZ to find novel mechanisms involved in the regulation of gene transcription. In order to determine the molecular regulatory mechanisms affecting the SCZ, the long non-coding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs) axes in the BA10 area were determined using a bioinformatics approach in the present work. A microarray dataset (GSE17612) consisted of brain post-mortem tissues of the BA10 area from SCZ patients and matched healthy subjects was downloaded from the Gene Expression Omnibus (GEO) database. This dataset included probes for both lncRNAs and mRNAs. Using the R software's limma package, the differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) were found. The RNA interactions were also discovered using the DIANA-LncBase and miRTarBase databases. In the ceRNA network, positive correlations between DEmRNAs and DElncRNAs were evaluated using the Pearson correlation coefficient. Finally, lncRNA-associated ceRNA axes were built by using the co-expression and DElncRNA-miRNA-DEmRNA connections. We identified the DElncRNA-miRNA-DEmRNA axes, which included two key lncRNAs ( Show less