Automated segmentation of spinal diffusion tensor MR imaging

A novel automated segmentation technique is presented for the delineation of white matter and gray matter regions in diffusion tensor magnetic resonance imaging of the spine. The technique involves an automated method for the extraction of the spinal cord regions from the diffusion tensor imaging data and relies on the fuzzy means clustering approach, which is inherently robust. Experimental results obtained for the segmentation of in vitro spinal cord sections of varying ages from 48 to 80 years demonstrate the viability of the automated segmentation technique. Statistical comparison with manually delineated white matter regions indicates the potential of the automated technique for the investigation and analysis of white matter abnormalities in diffusion tensor magnetic resonance imaging of the spine

The Utility of Iron Chelators in the Management of Inflammatory Disorders

Since iron can contribute to detrimental radical generating processes through the Fenton and Haber-Weiss reactions, it seems to be a reasonable approach to modulate iron-related pathways in inflammation. In the human organism a counterregulatory reduction in iron availability is observed during inflammatory diseases. Under pathological conditions with reduced or increased baseline iron levels different consequences regarding protection or susceptibility to inflammation have to be considered. Given the role of iron in development of inflammatory diseases, pharmaceutical agents targeting this pathway promise to improve the clinical outcome. The objective of this review is to highlight the mechanisms of iron regulation and iron chelation, and to demonstrate the potential impact of this strategy in the management of several acute and chronic inflammatory diseases, including cancer

Targeted resequencing and functional testing identifies low-frequency missense variants in the gene encoding GARP as significant contributors to atopic dermatitis risk.

Gene mapping studies have consistently identified a susceptibility locus for atopic dermatitis and other inflammatory diseases on chromosome 11q13.5, with the strongest association observed for a common variant located in an intergenic region between the two annotated genes chromosome 11 open reading frame 30 (C11orf30) and leucine rich repeat containing 32 (LRRC32). Using a targeted resequencing approach we identified low-frequency and rare missense mutations within the LRRC32 gene encoding the glycoprotein A repetitions predominantly (GARP), a receptor on activated regulatory T cells that binds latent TGFβ. Subsequent association testing in more than 2,000 atopic dermatitis cases and 2,000 controls revealed a significant excess of these LRRC32 variants in individuals with atopic dermatitis. Structural protein modelling and bioinformatic analysis predicted a disruption of protein transport upon these variants, and overexpression assays in CD4(+)CD25(-) T cells showed a significant reduction in surface expression of the mutated protein. Consistently, flow cytometric (FACS) analyses of different T cell subtypes obtained from AD patients revealed a significantly reduced surface expression of GARP, and a reduced conversion of CD4(+)CD25(-) T cells into regulatory T cells along with lower expression of latency-associated protein (LAP) upon stimulation in carriers of the LRRC32 A407T variant. These results link inherited disturbances of TGFβ signalling with atopic dermatitis risk