Neuropsychological Characteristics of Cortical and Subcortical Zones of the Human Brain as Multidimensional Genetic Risk Factors of Schizophrenia

A neuropsychological study of 59 families with schizophrenia (193 subjects: 59 patients, 109 parents, and 25 sibs) was conducted using the methods of A.R. Luria. The control group included 23 healthy subjects without a familial history of schizophrenia. The analysis revealed a wide spectrum of mental disorders in schizophrenics and their relatives but not in the control group. The disorders varied from vague to distinct. The most informative for discrimination of the subject groups were interrelated integrative characteristics of the left and right subcortical, left subcortico-frontal, and left subcortico-temporal areas. The errors of discrimination between schizophrenics and control subjects (a low-risk group) and between the low-risk group and sibs (a high-risk group) ranged from 7 to 19%. The multidimensional neuropsychological indicators revealed may be used for further analysis of genetic risks of schizophrenia.     

Generation of reactive oxygen species during pollen grain germination

The formation of reactive oxygen species in pollen at the early germination stage, which precedes the formation of the pollen tube, was studied. During this period, pollen grain is being hydrated, abruptly increasing its volume, and it passes from the resting state to active metabolism. Fluorescent methods have made it possible to reveal reactive oxygen species in the cytoplasm and inner layer of the pollen wall, intine. The cytoplasmic reactive oxygen species were mostly found in mitochondria, while extracellular ones were localized in aperture zones of intine, as well as in the solution surrounding pollen grains in vitro. The content of extracellular reactive oxygen species decreased after superoxide dismutase (100 units per ml) and diphenylene iodonium (100 μM), which indicates NADPH oxidase as one of possible producent of them. In conditions of suppression of extracellular reactive oxygen species production (100 μM diphenilene iodonium) or their promoted removal (after addition of 10 to 100 μM ascorbic acid), the number of germinating pollen grains increased. This effect disappeared after further increase in the concentration of the listed reagents. The result is evidence of the significance of processes of generation/removal of extracellular reactive oxygen species for pollen germination.     

The properties of Bacillus cereus hemolysin II pores depend on environmental conditions

Hemolysin II (HlyII), one of several cytolytic proteins encoded by the opportunistic human pathogen Bacillus cereus, is a member of the family of oligomeric β-barrel pore-forming toxins. This work has studied the pore-forming properties of HlyII using a number of biochemical and biophysical approaches. According to electron microscopy, HlyII protein interacts with liposomes to form ordered heptamer-like macromolecular assemblies with an inner pore diameter of 1.5-2 nm and an outer diameter of 6-8 nm. This is consistent with inner pore diameter obtained from osmotic protection assay. According to the 3D model obtained, seven HlyII monomers might form a pore, the outer size of which has been estimated to be slightly larger than by the other method, with an inner diameter changing from 1 to 4 nm along the channel length. The hemolysis rate has been found to be temperature-dependent, with an explicit lag at lower temperatures. Temperature jump experiments have indicated the pore structures formed at 37 °C and 4 °C to be different. The channels formed by HlyII are anion-selective in lipid bilayers and show a rising conductance as the salt concentration increases. The results presented show for the first time that at high salt concentration HlyII pores demonstrate voltage-induced gating observed at low negative potentials. Taken together we have found that the membrane-binding properties of hemolysin II as well as the properties of its pores strongly depend on environmental conditions. The study of the properties together with structural modeling allows a better understanding of channel functioning.