The Diverse Role of CUB and Sushi Multiple Domains 1 (CSMD1) in Human Diseases.

CUB and Sushi Multiple Domains 1 (CSMD1), a tumour suppressor gene, encodes a large membrane-bound protein including a single transmembrane domain. This transmembrane region has a potential tyrosine phosphorylation site, suggesting that CSMD1 is involved in controlling cellular functions. Although the specific mechanisms of action for CSMD1 have not yet been uncovered, it has been linked to a number of processes including development, complement control, neurodevelopment, and cancer progression. In this review, we summarise CSMD1 functions in the cellular processes involved in the complement system, metastasis, and Epithelial mesenchymal transition (EMT) and also in the diseases schizophrenia, Parkinson's disease, and cancer. Clarifying the association between CSMD1 and the aforementioned diseases will contribute to the development of new diagnosis and treatment methods for these diseases. Recent studies in certain cancer types, e.g., gastric cancer, oesophageal cancer, and head and neck squamous cell carcinomas, have indicated the involvement of CSMD1 in response to immunotherapy.

MRI evaluation of progressive supranuclear palsy: differentiation from Parkinson's disease and multiple system atrophy.

OBJECTIVES: To evaluate the magnetic resonance imaging (MRI)-derived parameters in differentiation of patients with progressive supranuclear palsy (PSP) from patients with Parkinson's disease (PD), multiple system atrophy (MSA), and control subjects was aimed. METHODS: Thirty-three patients [mean age, 65.21 ± 4.75 years; PSP (n = 9), MSA (n = 8), PD (n = 6), and control subjects (n = 10)] who have undergone cranial MRI were included in this retrospective study. MRI-derived parameters including areas of midbrain and pons, midbrain area-to-pons area (M/P) ratio, widths of middle cerebellar peduncle (MCP) and superior cerebellar peduncle (SCP), MCP/SCP ratio, magnetic resonance parkinsonism index (MRPI), cerebral interpeduncular angle, and length of midbrain tegmentum were compared in patients with PSP, PD, MSA, and control subjects through the analysis of variance and Kruskal-Wallis tests with Bonferroni correction and Mann-Whitney U test. RESULTS: The length of midbrain tegmentum, midbrain area, SCP, and M/P ratio were found to be lower, while cerebral interpeduncular angle and MRPI were higher in patients with PSP. Pons area, MCP width, and MCP/SCP ratio were found to be lower in patients with MSA. For PSP, cerebral interpeduncular angle has a sensitivity of 100% and specifity of 90%, and MRPI had a sensitivity of 88.9% and specifity of 100% for PSP. DISCUSSION: Several MRI-derived parameters can be used in differentiation of patients with PSP from patients with PD, MSA and control subjects. The cerebral interpeduncular angle and MRPI, which demonstrated higher values in patients with PSP, were more significant for PSP than the other parameters.

The relationship between metabolic syndrome and left ventricular mass index in obese children.

OBJECTIVE: To investigate the relationships between metabolic syndrome (MS), other metabolic features and left ventricular mass index (LVMI) in a population of obese children and adolescents with MS. METHODS: Two hundred and eight obese children and adolescents (119 females and 89 males, mean age: 11.9±2.7 years) and control subjects (24 females and 26 males, mean age: 11.4±2.9 years) were enrolled in the study. The insulin sensitivity index and LVMI were determined. The International Diabetes Federation criteria were used to diagnose MS. RESULTS: The obese patients were divided into MS group (n=55) and non-MS (n=153) group. The values of LVMI in the MS group were significantly higher than those in the non-MS group (p=0.014). The present LVMI cut-off point of 33 g/m² for the diagnosis of MS yielded a sensitivity of 97% and a specificity of 98%. LVMI was found to be positively correlated in univariate analysis with height, weight, body mass index (BMI) SDS, fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose to insulin ratio (FGIR) and negatively correlated with quantitative insulin sensitivity check index (QUICK-I). CONCLUSIONS: We suggest that our optimal LVMI cut-off value for identifying MS may be considered as a sensitive index in screening obese children and adolescents for pediatric MS. Assessment of LVMI in obese children and adolescents may be used as a tool in predicting the presence of MS and its associated cardiovascular risks.