Diagnostic yield of microarrays in individuals with non-syndromic developmental delay and intellectual disability.

BACKGROUND: Intellectual disability (ID), or developmental delay (DD) when the individual is yet under 5 years of age, is evident before 18 years of age and is characterised by significant limitations in both intellectual functioning and adaptive behaviour. ID/DD may be clinically classified as syndromic or non-syndromic. Genomic copy number variations (CNVs) constitute a well-established aetiological subgroup of ID/DD. Overall diagnostic yield of microarrays is estimated at 10-25% for ID/DD, especially higher when particular clinical features that render the condition syndromic accompany. METHODS: In this study, we aimed to investigate the diagnostic yield of microarrays in the subgroup of individuals with non-syndromic ID/DD (NSID/NSDD). A total of 302 NSID/NSDD individuals who have undergone microarray analysis between October 2013 and April 2020 were included. Accompanying clinical data, including head circumference, delayed developmental areas, seizures and behavioural problems were collected and analysed separately in NSID and NSDD subgroups. RESULTS: The diagnostic yield of microarray analyses in NSID/NSDD was determined as 10.9% in NSID (10.7%) and in NSDD (11.1%). Presence of behavioural and epileptic problems did not contribute to the diagnostic yield. However, in the presence of macrocephaly, the contribution to diagnostic yield was statistically significant particularly in NSDD group. The most common pathogenic CNVs involved chromosomes 16, 15 and X. Lastly, we propose a Xq21.32q22.1 deletion as likely pathogenic in a child with isolated language delay and accompanying seizures. CONCLUSIONS: Particularly in neurodevelopmental diseases, microarrays are useful for establishing the diagnosis and detecting novel susceptibility regions. Future studies would accurately classify the herein presented variants of uncertain significance CNVs as pathogenic or benign.

Genetic IGF1R defects: new cases expand the spectrum of clinical features.

PURPOSE: We aimed to identify the phenotypic variability of IGF1R defects in a cohort of short children with normal GH secretion gathered through the last decade. PATIENTS AND METHODS: Fifty children (25 girls) with short stature and a basal/stimulated growth hormone (GH) over 10 ng/ml having either a low birth weight or microcephaly were enrolled. MLPA and then Sanger sequence analysis were performed to detect IGF1R defects. The auxological and metabolic evaluation were carried out in index cases and their first degree family members whenever available. RESULTS: A total of seven (14%) IGF1R defects were detected. Two IGF1R deletions and five heterozygous variants (one frameshift, four missense) were identified. Three (likely) pathogenic, one VUS and one likely benign were classified by using ACMG. All children with IGF1R defects had a height < - 2.5SDS, birth weight < - 1.4SDS, and head circumference < - 1.36SDS. IGF-1 ranged from - 2.44 to 2.13 SDS. One child with a 15q terminal deletion had a normal phenotype and intelligence, whereas low IQ is a finding in a case with missense variant. Two parents who carried IGF1R mutations had diabetes mellitus, hypertension and hyperlipidemia, one of whom also had hypergonadotropic hypogonadism. CONCLUSION: We found a deletion or variant in IGF1R in 14% of short children. Birth weight, head circumference, intelligence, dysmorphic features, IGF-1 levels and even height are not consistent among patients. Additionally, metabolic and gonadal complications may appear during adulthood, suggesting that patients should be followed into adulthood to monitor for these late complications.

Neurochemical evaluation of brain function with 1H magnetic resonance spectroscopy in patients with fragile X syndrome.

Fragile X syndrome (FXS) is the most common hereditary disorder of intellectual disability. Cognitive deficits involve executive function, attention, learning and memory. Advanced neuroimaging techniques are available, and (1)H magnetic resonance spectroscopy (MRS) can be used as a complementary method to MR imaging to understand disease processes in brain, by in vivo demonstration of brain metabolites. MRS was performed in 13 male patients with FXS full mutation, and 13 age- and sex-matched healthy controls. FXS diagnosis was based on clinical evaluation, followed by detection of FMR1 full mutation. Axial T2 TSE, sagittal T1 SE and coronal 3D MPRAGE images were obtained for both morphological imaging and voxel localization. Following evaluation of conventional images, multivoxel MRS (CSI) through supraventricular white matter and single voxel MRS (svs) with an intermediate echo time (TE:135 ms) from the cerebellar vermis were performed. Choline/Creatine (Cho/Cr), N-acetyl aspartate/Creatine (NAA/Cr), and Choline/N-acetyl aspartate (Cho/NAA) ratios were examined at right frontal (RF), left frontal (LF), right parietal (RP), left parietal (LP), and cerebellar vermian (C) white matter. Statistical analyses were done using t-test and Mann-Whitney U tests. A statistically significant difference was observed in RP Cho/NAA ratio (cell membrane marker/neuroaxonal marker), FXS patients having lower levels than controls (P = 0.016). The results should be evaluated cautiously in parallel to consequences in brain metabolism leading to alterations in neurotransmitter levels, osmoregulation, energy metabolism and oxidative stress response described in animal models. MRS may serve to define a metabolic signature and biomarkers associated with FXS.