Characterization of acatalasemic erythrocytes treated with low and high dose hydrogen peroxide. Hemolysis and aggregation

The effects of hydrogen peroxide on normal and acatalasemic erythrocytes were examined. Severe hemolysis of acatalasemic erythrocytes and a small tyrosine radical signal (g = 2.005) associated with the formation of ferryl hemoglobin were observed upon the addition of less than 0.25 mM hydrogen peroxide. However, when the concentration of hydrogen peroxide was increased to 0.5 mM, acatalasemic erythrocytes became insoluble in water and increased the tyrosine radical signal. Polymerization of hemoglobin and aggregation of the erythrocytes were observed. On the other hand, normal erythrocytes exhibited only mild hemolysis by the addition of hydrogen peroxide under similar conditions. From these results, the scavenging of hydrogen peroxide by hemoglobin generates the ferryl hemoglobin species (H-Hb-Fe(IV)=O) plus protein-based radicals (*Hb-Fe(IV)=O). These species induce hemolysis of erythrocytes, polymerization of hemoglobin, and aggregation of the acatalasemic erythrocytes. A mechanism for the onset of Takarara disease is proposed.     

Effect of the difference in vehicles on gene expression in the rat liver--analysis of the control data in the Toxicogenomics Project Database

The Toxicogenomics Project is a 5-year collaborative project by the Japanese government and pharmaceutical companies in 2002. Its aim is to construct a large-scale toxicology database of 150 compounds orally administered to rats. The test consists of a single administration test (3, 6, 9 and 24 h) and a repeated administration test (3, 7, 14 and 28 days), and the conventional toxicology data together with the gene expression data in liver as analyzed by using Affymetrix GeneChip are being accumulated. In the project, either methylcellulose or corn oil is employed as vehicle. We examined whether the vehicle itself affects the analysis of gene expression and found that corn oil alone affected the food consumption and biochemical parameters mainly related to lipid metabolism, and this accompanied typical changes in the gene expression. Most of the genes modulated by corn oil were related to cholesterol or fatty acid metabolism (e.g., CYP7A1, CYP8B1, 3-hydroxy-3-methylglutaryl-Coenzyme A reductase, squalene epoxidase, angiopoietin-like protein 4, fatty acid synthase, fatty acid binding proteins), suggesting that the response was physiologic to the oil intake. Many of the lipid-related genes showed circadian rhythm within a day, but the expression pattern of general clock genes (e.g., period 2, arylhydrocarbon nuclear receptor translocator-like, D site albumin promoter binding protein) were unaffected by corn oil, suggesting that the effects are specific for lipid metabolism. These results would be useful for usage of the database especially when drugs with different vehicle control are compared.     

Ca²+-induced release of mitochondrial m-calpain from outer membrane with binding of calpain small subunit and Grp75

Although mitochondrial μ- and m-calpains play significant roles in apoptotic cell death, their activating mechanisms have not been determined. The purpose of this study was to determine the core factors that are involved in activating mitochondrial outer membrane (OM)-bound calpains. To accomplish this, we solubilized OM-bound calpains and separated them by DEAE-Sepharose column chromatography, and identified them by immunoblots. We also determined the core factors that activated the OM-bound calpains and release them from the OM by calpain assays, immunoprecipitations, and immunoblots. The OM-bound m-calpain large subunit was not associated with the small subunit or with Grp75 chaperone. Free calpain small subunit was located in the IMS and caused the release of the OM-bound m-calpain large subunit from the OM together with Grp75, ATP, and Ca2+. Our results showed that the activating mechanism of mitochondrial OM-bound m-calpain and the release of mitochondrial m-calpain from the OM have important implications in facilitating apoptotic cell death.     

Ca-induced release of mitochondrial m-calpain from outer membrane with binding of calpain small subunit and Grp75

Although mitochondrial μ- and m-calpains play significant roles in apoptotic cell death, their activating mechanisms have not been determined. The purpose of this study was to determine the core factors that are involved in activating mitochondrial outer membrane (OM)-bound calpains. To accomplish this, we solubilized OM-bound calpains and separated them by DEAE-Sepharose column chromatography, and identified them by immunoblots. We also determined the core factors that activated the OM-bound calpains and release them from the OM by calpain assays, immunoprecipitations, and immunoblots. The OM-bound m-calpain large subunit was not associated with the small subunit or with Grp75 chaperone. Free calpain small subunit was located in the IMS and caused the release of the OM-bound m-calpain large subunit from the OM together with Grp75, ATP, and Ca²⁺. Our results showed that the activating mechanism of mitochondrial OM-bound m-calpain and the release of mitochondrial m-calpain from the OM have important implications in facilitating apoptotic cell death.     

Matrix heterogeneity affects population size of the harvest mice: Bayesian estimation of matrix resistance and model validation

It has been increasingly recognized that landscape matrices are an important factor determining patch connectivity and hence the population size of organisms living in highly fragmented landscapes. However, most previous studies estimated the effect of matrix heterogeneity using prior information regarding dispersal or habitat preferences of a focal organism. Here we estimated matrix resistance of harvest mice in agricultural landscapes using a novel pattern‐oriented modeling with Bayesian estimation and no prior information, and then conducted model validation using data sets independent from those used for model construction. First, we investigated the distribution patterns of harvest mice for approximately 400 habitat patches, and estimated matrix resistance for different matrix types using statistical models incorporating patch size, patch environment, and patch connectivity. We used Bayesian estimation with a Markov chain Monte Carlo algorithm, and searched for appropriate matrix resistance that best explained the distribution pattern. Patch connectivity as well as patch quality was an important determinant of local population size for the harvest mice. Moreover, matrix resistance was far from uniform, with rice and crop fields exhibiting low resistance and forests, creeks, roads and residential areas showing much higher resistance. The deviance explained by this model (heterogeneous matrix model) was much larger than that obtained by the model with no consideration of matrix heterogeneity (homogeneous matrix model). Second, we obtained distribution data from five additional landscapes that were more fragmented than that used for model construction, and used them for model validation. The heterogeneous matrix model well predicted the population size for four out of five landscapes. In contrast, the homogeneous model considerably overestimated population sizes in all cases. Our approach is widely applicable to species living in fragmented landscapes, especially those for which prior information regarding movement or dispersal is difficult to obtain.