At post-mortem we examined heart tissue of (i) 31 patients with uraemia not on dialysis, (ii) 42 patients on haemodialysis for less than 6 months, (iii) 60 patients on haemodialysis for more than 6 months, (iv) 16 patients after renal transplantation, and (v) 11 patients on CAPD. Patients with stenosing coronary lesions were excluded. Diffuse non-coronary intermyocardiocytic fibrosis, assessed by a score system in trichrome-stained sections, was found in 91% of chronically uraemic patients, but not in non-hypertensive, non-diabetic controls. The lesion was present even in non-dialysed uraemic patients; in dialysed patients its severity was related to the duration of dialysis; it was demonstrable even years after renal transplantation. On electron-microscopy, collagen fibres were seen, while beta 2-M amyloid was consistently absent. Logistic regression analysis showed that uraemia was a determinant of intermyocardiocytic fibrosis independent of hypertension, diabetes mellitus, anaemia, heart weight, and presence or absence of dialysis procedure.

The Lena River Delta, situated in Northern , is the largest Arctic delta and covers 29,000 km 2 . Since natural deltas are characterised by complex geomorphological patterns and various types of ecosystems, high spatial resolution information on the distribution and extent of the delta environments is necessary for a spatial assessment and accurate quantification of biogeochemical processes as drivers for the emission of greenhouse gases from tundra soils. In this study, the first land cover classification for the entire Lena Delta based on Landsat 7 Enhanced Thematic Mapper (ETM+) images was conducted and used for the quantification of methane emissions from the delta ecosystems on the regional scale. Nine land cover classes of aquatic and terrestrial ecosystems in the wetland dominated (72%) Lena Delta could be defined by this classification approach. The mean daily methane emission of the entire Lena Delta was calculated with 10.35 mg CH 4 m. Taking our multi-scale approach into account we find that the methane source strength of certain tundra wetland types is lower than calculated previously on coarser scales.

Whereas the NPP and NEP depend largely on an adequate supply of essential plant nutrients (both macro and micro) and available water capacity of the root zone (green water), formation of stable organo-mineral complexes as SOC depends on soil profile characteristics (i.e., depth, horizonation, texture, mineralogical composition, available water capacity, and nutrient reserves) and landscape attributes (i.e., terrain, position, aspect, and drainage). Furthermore, land use (e.g., natural, cropland, grazing land, forest land, urban land, mine land, and wetland) and management (i.e., conservation agriculture [CA], agroforestry, cover cropping, nutrient management, irrigation, crop rotation, farming/cropping system, and

When cells come in contact with an adhesive matrix, they begin to spread and migrate with a speed that depends on the stiffness of the extracellular matrix. On a flat surface, migration speed decreases with matrix stiffness mainly due to an increased stability of focal adhesions. In a 3-dimensional (3D) environment, cell migration is thought to be additionally impaired by the steric hindrance imposed by the surrounding matrix. For porous 3D biopolymer networks such as collagen gels, however, the effect of matrix stiffness on cell migration is difficult to separate from effects of matrix pore size and adhesive ligand density, and is therefore unknown. Here we used glutaraldehyde as a crosslinker to increase the stiffness of self-assembled collagen biopolymer networks independently of collagen concentration or pore size. Breast carcinoma cells were seeded onto the surface of 3D collagen gels, and the invasion depth was measured after 3 days of culture. Cell invasion in gels with pore sizes larger than 5 μm increased with higher gel stiffness, whereas invasion in gels with smaller pores decreased with higher gel stiffness. These data show that 3D cell invasion is enhanced by higher matrix stiffness, opposite to cell behavior in 2D, as long as the pore size does not fall below a critical value where it causes excessive steric hindrance. These findings may be important for optimizing the recellularization of soft tissue implants or for the design of 3D invasion models in cancer research.