Purification and Characterization of DT 389 GCSF Fusion Protein: A Unique Immunotoxin Against the Human Granulocyte-Colony Stimulating Factor Receptor

Immunotoxin is a recombinant fusion toxin which has been developed to kill cancer cells selectively. DT389GCSF as a new immunotoxin consists of a truncated     

MRI Plaque Imaging Detects Carotid Plaques with a High Risk for Future Cerebrovascular Events in Asymptomatic Patients

Purpose

The aim of this study was to investigate prospectively whether MRI plaque imaging can identify patients with asymptomatic carotid artery stenosis who have an increased risk for future cerebral events. MRI plaque imaging allows categorization of carotid stenosis into different lesion types (I–VIII). Within these lesion types, lesion types IV–V and VI are regarded as rupture-prone plaques, whereas the other lesion types represent stable ones.

Methods

Eighty-three consecutive patients (45 male (54.2%); age 54–88 years (mean 73.2 years)) presenting with an asymptomatic carotid stenosis of 50–99% according to ECST-criteria were recruited. Patients were imaged with a 1.5-T scanner. T1-, T2-, time-of-flight-, and proton-density weighted studies were performed. The carotid plaques were classified as lesion type I–VIII. Clinical endpoints were ischemic stroke, TIA or amaurosis fugax. Survival analysis and log rank test were used to ascertain statistical significance.

Results

Six out of 83 patients (7.2%) were excluded: 4 patients had insufficient MR image quality; 1 patient was lost-to-follow-up; 1 patient died shortly after the baseline MRI plaque imaging. The following results were obtained by analyzing the remaining 77 patients. The mean time of follow-up was 41.1 months.During follow-up, n = 9 (11.7%) ipsilateral ischemic cerebrovascular events occurred. Only patients presenting with the high-risk lesion types IV–V and VI developed an ipsilateral cerebrovascular event versus none of the patients presenting with the stable lesion types III, VII, and VIII (n = 9 (11.7%) vs. n = 0 (0%) during follow-up). Event-free survival was higher among patients with the MRI-defined stable lesion types (III, VII, and VIII) than in patients with the high-risk lesion types (IV–V and VI) (log rank test P<0.0001).

Conclusions

MRI plaque imaging has the potential to identify patients with asymptomatic carotid stenosis who are particularly at risk of developing future cerebral ischemia. MRI could improve selection criteria for invasive therapy in the future.     

A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization

The brain mechanism of extracting visual features for recognizing various objects has consistently been a controversial issue in computational models of object recognition. To extract visual features, we introduce a new, biologically motivated model for facial categorization, which is an extension of the Hubel and Wiesel simple-to-complex cell hierarchy. To address the synaptic stability versus plasticity dilemma, we apply the Adaptive Resonance Theory (ART) for extracting informative intermediate level visual features during the learning process, which also makes this model stable against the destruction of previously learned information while learning new information. Such a mechanism has been suggested to be embedded within known laminar microcircuits of the cerebral cortex. To reveal the strength of the proposed visual feature learning mechanism, we show that when we use this mechanism in the training process of a well-known biologically motivated object recognition model (the HMAX model), it performs better than the HMAX model in face/non-face classification tasks. Furthermore, we demonstrate that our proposed mechanism is capable of following similar trends in performance as humans in a psychophysical experiment using a face versus non-face rapid categorization task.     

Design,Synthesis and Enzymatic Inhibition of Novel Unusual Amino Acids as a Transition State Analogue of Amyloid Precursor Protein Peptide

International Journal of Peptide Research and Therapeutics - β-secretase 1 (BACE1) plays a pivotal role in the pathology of Alzheimer?s disease via accumulation beta amyloid in the...     

Effect of fluorine substitution on benzo[j]fluoranthene genotoxicity.

The metabolism and mutagenic activity of 4-fluorobenzo[j]fluoranthene (4F-B[j]F) and 10-fluorobenzo[j]fluoranthene (10F-B[j]F) were evaluated and compared with benzo[j]fluoranthene (B[j]F) using an identical rat liver homogenate preparation. Previous studies have shown that the major genotoxic metabolites of B[j]F are the 4,5- and 9,10-dihydrodiol. The 9,10-dihydrodiol was the principal metabolite formed in the case of 4F-B[j]F, while the 4,5-dihydrodiol was the principal metabolite formed in the metabolism of 10F-B[j]F. Studies on the relative genotoxicity of these fluorinated derivatives were performed to indirectly determine the possible contribution of the 4,5- and 9,10-dihydrodiol in the activation of B[j]F to a genotoxic agent. In the presence of microsomal activation, both of these fluorinated derivatives of B[j]F were more mutagenic in S. typhimurium TA97a, TA98 and TA100 than B[j]F. However, differences in mutagenic potency were observed between 4F- and 10F-B[j]F. 10F-B[j]F had similar mutagenic potency to 4F-B[j]F in TA97a and TA98 at doses associated with the linear portion of the dose response curve. However, a slightly higher mutagenic response was observed with 10F-B[j]F in TA98 at doses above 5 nmol. In contrast, 4F-B[j]F was more active than 10F-B[j]F as a mutagen in TA100. The tumor-initiating activity of these analogs on mouse skin was assessed at doses of 2.0, 1.0 and 0.3 mumol. Skin irritation was observed with the fluorinated B[j]F derivatives at doses above 0.3 mumol. At a dose of 0.3 mumol, 4F-B[j]F exhibited tumorigenic activity which was similar to B[j]F. In contrast, 10F-B[j]F was less active than B[j]F at all three doses assayed. Both fluorinated derivatives of B[j]F formed higher levels of DNA adducts in vivo in mouse skin than B[j]F. A modified 32P-postlabeling method was required to detect fast migrating B[j]F:DNA adducts that went undetected in previous studies. The level of DNA adducts formed from 4F-B[j]F was considerably greater than the levels observed with 10F-B[j]F. This is consistent with the greater mutagenic activity in S. typhimurium TA100 and tumor-initiating activity exhibited by 4F-B[j]F. These studies suggest that fluorine substitution may significantly alter the intrinsic genotoxicity of the 4,5- and 9,10-dihydrodiol of B[j]F. These data also imply that B[j]F may be primarily activated via the formation of the 9,10-dihydrodiol metabolite. This pathway of activation is inconsistent with our previous studies which indicate that the 4,5-dihydrodiol is the most important pathway of activation.(ABSTRACT TRUNCATED AT 400 WORDS)     

Antiproliferative activity of chloroformic extract of Persian Shallot, Allium hirtifolium, on tumor cell lines

Allium hirtifolim (Persian Shallot) belongs to Allium genus (Alliaceae family). We investigated the in vitro effects of chloroformic extract of A. hirtifolium and its Allicin on the proliferation of HeLa (cervical cancer), MCF7 (human, caucasion, breast, adenocarcinoma) and L929 (mouse, C3H/An, connective) cell lines. Our results showed that components of A. hirtifolium might inhibit proliferation of tumor cell lines. This inhibition in HeLa and MCF-7 cells was dose-dependent. The presence of Allicin was evaluated by TLC method in bulbs and the extract of A. hirtifolium was analyzed by HPLC. MTT test was performed 24, 48 and 72 h after cell culture. A significant decrease in cell lines was observed in HeLa and MCF-7 as compared to L929 cell lines. DNA fragmentation analysis revealed a large number of apoptotic cells in treated HeLa and MCF-7 cell groups, but no effects in L929 cells. Therefore A. hirtifolium might be a candidate for tumor suppression.     

How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?

Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding ability has motivated many computational object recognition models. Most of these models try to emulate the behavior of this remarkable system. The human visual system hierarchically recognizes objects in several processing stages. Along these stages a set of features with increasing complexity is extracted by different parts of visual system. Elementary features like bars and edges are processed in earlier levels of visual pathway and as far as one goes upper in this pathway more complex features will be spotted. It is an important interrogation in the field of visual processing to see which features of an object are selected and represented by the visual cortex. To address this issue, we extended a hierarchical model, which is motivated by biology, for different object recognition tasks. In this model, a set of object parts, named patches, extracted in the intermediate stages. These object parts are used for training procedure in the model and have an important role in object recognition. These patches are selected indiscriminately from different positions of an image and this can lead to the extraction of non-discriminating patches which eventually may reduce the performance. In the proposed model we used an evolutionary algorithm approach to select a set of informative patches. Our reported results indicate that these patches are more informative than usual random patches. We demonstrate the strength of the proposed model on a range of object recognition tasks. The proposed model outperforms the original model in diverse object recognition tasks. It can be seen from the experiments that selected features are generally particular parts of target images. Our results suggest that selected features which are parts of target objects provide an efficient set for robust object recognition.     

Spatial distribution and diversity of commercial demersal fish species in the shelf waters of the Caspian Sea

The Caspian Sea (CS) is a unique ecosystem known for its several fish species, especially sturgeons. To exhaustively manage the fish stocks of this ecosystem, detailed knowledge of species composition, abundance, distribution, and the habitat traits of the living organisms is necessary. This study analyzed the diversity, spatial, and seasonal distribution of commercial demersal fish species, and examined the relationships between community structure and environmental variability in Iranian shelf waters of the CS. For this purpose, seasonally fish sampling took place between 2009 and 2011 with a bottom trawl. Among 11 fish species captured, Chelon spp., Rutilus kutum, and Vimba vimba showed the highest abundances (i.e. 88.49%, 10.67%, and 0.69%, respectively). Univariate and multivariate analyses showed differences in commercial fish assemblages (abundance and species richness) according to seasons and regions. Distance-based Linear Model (DisTLM) showed that eight environmental variables display significant linear relationships with the fauna resemblance matrix (p < .05). Based on AIC criteria, the combination of silt&clay, TOM, longitude, depth, bottom, and surface temperature used to build the parsimonious DisTLM model explain 67.03% of the total variability. The results revealed a biogeographical and temporal gradient from the west to the east and summer to winter, in terms of commercial demersal fish assemblages and species diversity, as a consequence of different geomorphological, bottom substratum conditions and benthic communities.