Hunter syndrome (or mucopolysaccharidosis type II [MPS II]) arises because of a deficiency in the lysosomal enzyme iduronate-2-sulfatase. Short stature is a prominent and consistent feature in MPS II. Enzyme replacement therapy (ERT) with idursulfase (Elaprase(R)) or idursulfase beta (Hunterase(R)) have been developed for these patients. The effect of ERT on the growth of Korean patients with Hunter syndrome was evaluated at a single center. This study comprised 32 patients, who had received ERT for at least 2 yr; they were divided into three groups according to their ages at the start of ERT: group 1 (<6 yr, n=14), group 2 (6-10 yr, n=11), and group 3 (10-20 yr, n=7). The patients showed marked growth retardation as they got older. ERT may have less effect on the growth of patients with the severe form of Hunter syndrome. The height z-scores in groups 2 and 3 revealed a significant change (the estimated slopes before and after the treatment were -0.047 and -0.007, respectively: difference in the slope, 0.04; P<0.001). Growth in response to ERT could be an important treatment outcome or an endpoint for future studies.
Adolescent ; Body Height ; Child ; Child, Preschool ; Demography ; Enzyme Replacement Therapy ; Humans ; Iduronate Sulfatase/*therapeutic use ; Infant ; Male ; Mild Cognitive Impairment/etiology ; Mucopolysaccharidosis II/complications/diagnosis/*therapy ; Mutation ; Phenotype ; Protein Isoforms/therapeutic use ; Republic of Korea ; Young Adult

Subjective memory impairment (SMI) is now increasingly recognized as a risk factor of progression to dementia. This study investigated gray and white matter changes in the brains of SMI patients compared with normal controls and mild cognitive impairment (MCI) patients. We recruited 28 normal controls, 28 subjects with SMI, and 29 patients with MCI aged 60 or older. We analyzed gray and white matter changes using a voxel-based morphometry (VBM), hippocampal volumetry and regions of interest in diffusion tensor imaging (DTI). DTI parameters of corpus callosum and cingulum in SMI showed more white matter changes compared with those in normal controls, they were similar to those in MCI except in the hippocampus, which showed more degenerations in MCI. In VBM, SMI showed atrophy in the frontal, temporal, and parietal lobes compared with normal controls although it was not as extensive as that in MCI. Patients with SMI showed gray and white matter degenerations, the changes were distinct in white matter structures. SMI might be the first presenting symptom within the Alzheimer's disease continuum when combined with additional risk factors and neurodegenerative changes.
Aged ; Brain/*pathology ; Diagnosis, Differential ; Diffusion Tensor Imaging/methods ; Female ; Gray Matter/*pathology ; Humans ; Male ; Memory Disorders/*diagnosis/etiology ; Mild Cognitive Impairment/complications/*diagnosis ; Neurodegenerative Diseases/complications/*pathology ; Reference Values ; Reproducibility of Results ; Sensitivity and Specificity ; White Matter/*pathology

We compared the predictive ability of the various neuroimaging tools and determined the most cost-effective, non-invasive Alzheimer's disease (AD) prediction model in mild cognitive impairment (MCI) individuals. Thirty-two MCI subjects were evaluated at baseline with [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET), MRI, diffusion tensor imaging (DTI), and neuropsychological tests, and then followed up for 2 yr. After a follow up period, 12 MCI subjects converted to AD (MCIc) and 20 did not (MCInc). Of the voxel-based statistical comparisons of baseline neuroimaging data, the MCIc showed reduced cerebral glucose metabolism (CMgl) in the temporo-parietal, posterior cingulate, precuneus, and frontal regions, and gray matter (GM) density in multiple cortical areas including the frontal, temporal and parietal regions compared to the MCInc, whereas regional fractional anisotropy derived from DTI were not significantly different between the two groups. The MCIc also had lower Mini-Mental State Examination (MMSE) score than the MCInc. Through a series of model selection steps, the MMSE combined with CMgl model was selected as a final model (classification accuracy 93.8%). In conclusion, the combination of MMSE with regional CMgl measurement based on FDG-PET is probably the most efficient, non-invasive method to predict AD in MCI individuals after a two-year follow-up period.
Aged ; Alzheimer Disease/complications/*diagnosis ; Atrophy/pathology ; Biomarkers/blood ; Brain/*pathology ; Diffusion Tensor Imaging/methods ; Female ; Glucose/*metabolism ; Gray Matter/*pathology ; Humans ; Male ; Mild Cognitive Impairment/*diagnosis/etiology ; Neuroimaging/methods ; Positron-Emission Tomography/methods ; Reproducibility of Results ; Sensitivity and Specificity ; Severity of Illness Index ; White Matter/*pathology