Validation study of the three-objects-three-places test: a screening test for Alzheimer's disease.

The aim of the present study was to validate a short, ecological test of episodic memory for the screening of Alzheimer's disease (AD). The validation was performed by computing intrarater reliability, homogeneity, internal coherence, convergent, discriminant and known group validities in the performance of normal subjects (N = 65), mild cognitive impairment (MCI) patients (N = 114), and AD (N = 44) and non-AD demented (N = 39) patients. Intrarater reliability was 0.88, homogeneity ranged from 0.81 to 0.97, and internal coherence was 0.87. With respect to convergent and discriminant validities, the test loaded strongly on memory factor (value = 0.64) and weakly on other nonmemory factors. The known group validity showed a specificity between 87% and 91% and a sensitivity between 92% and 100% in correctly identifying AD in age classes ranging from 50 to 65 and 66 to 80 years. The test is a valid instrument for the screening of AD.

Brain volumes in healthy adults aged 40 years and over: a voxel-based morphometry study.

BACKGROUND AND AIMS: Gender and age effect on brain morphology have been extensively investigated. However, the great variety in methods applied to morphology partly explain the conflicting results of linear patterns of tissue changes and lateral asymmetry in men and women. The aim of the present study was to assess the effect of age, gender and laterality on the volumes of gray matter (GM) and white matter (WM) in a large group of healthy adults by means of voxel-based morphometry. This technique, based on observer-independent algorithms, automatically segments the 3 types of tissue and computes the amount of tissue in each single voxel. METHODS: Subjects were 229 healthy subjects of 40 years of age or older, who underwent magnetic resonance (MR) for reasons other than cognitive impairment. MR images were reoriented following the AC-PC line and, after removing the voxels below the cerebellum, were processed by Statistical Parametric Mapping (SPM99). GM and WM volumes were normalized for intracranial volume. RESULTS: Women had more fractional GM and WM volumes than men. Age was negatively correlated with both fractional GM and WM, and a gender x age interaction effect was found for WM, men having greater WM loss with advancing age. Pairwise differences between left and right GM were negative (greater GM in right hemisphere) in men, and positive (greater GM in left hemisphere) in women (-0.56+/-4.2 vs 0.99+/-4.8; p=0.019). CONCLUSIONS: These results support side-specific accelerated WM loss in men, and may help our better understanding of changes in regional brain structures associated with pathological aging.

Proteomic patterns of cultured breast cancer cells and epithelial mammary cells.

Breast cancer is one of the leading causes of death from cancer among women in western countries. The different types of breast cancer are grouped into invasive and noninvasive forms. Among the invasive types, ductal infiltrating carcinoma (DIC) is the most common and aggressive form. Using an in vitro model consisting of a DIC-derived cell line (8701-BC) and a nontumoral mammary epithelial cell line (HB2), we used the proteomics approach to search for homology and differences in protein expression patterns between tumoral and nontumoral phenotypes. Within an analysis window comprising 1,750 discernible spots we have currently catalogued 140 protein spots of potential interest. Fifty-eight of them were identified by gel matching with reference maps, immunodetection, or N-terminal microsequencing and classified into four functional groups. Twelve proteins were found differentially expressed in two cell lines: four were uniquely present in the neoplastic cell proteome and eight in epithelial cells. In addition, 53 proteins displayed different relative expression levels between the two cell lines, that is, 44 were more elevated in cancer cells and 9 in HB2 cells. Among proteins with greater relative abundance in cancer cells we identified glycolytic enzymes (or their isoforms), which may indicate that the known metabolic dysregulation in cancer can reflect oncogenic-related defects of glycolytic gene expression.