Penaeus vannamei serine proteinase inhibitor 7 (LvSerpin7) acts as an immune brake by regulating the proPO system in AHPND-affected shrimp

Acute hepatopancreatic necrosis disease (AHPND) is a recently emerged disease in aqua cultured shrimp that is caused by virulent strains of Vibrio parahaemolyticus (VP). Our previous study used transcriptomics to identify key pathogenic factors in the stomach of AHPND-infected shrimp (Litopenaeus vannamei), and here we used a different subset of the same data to construct a gene-to-gene expression correlation network to identify immune-responsive genes. LvSerpin7 was found to have the highest number of correlations after infection, and it also showed a significant increase in mRNA expression. LvSerpin7 is expressed in all tissues but its expression levels are highest in hemocytes. After successfully silencing LvSerpin7 transcript prior to AHPND challenge, mortality was significantly increased relative to the controls and reached 100% within 36 h post infection. Compared to the controls, the phenoloxidase (PO) activity also increased in both hemolymph and stomach. Recombinant LvSerpin7 inhibited shrimp PO activity in vitro, and we also found that rLvSerpin7 inhibited the growth of AHPND-causing bacteria. These results suggest that LvSerpin7 might reduce the toxic effects that result from unregulated activation of the PO defense system by AHPND-causing bacteria.

Polarity-variable birefringence on hyperlens structure

A variable birefringence effect has been observed with 1D PMMA surface gratings on a gold film substrate. By changing the operation wavelength on the Au film, the birefringence value Δn(eff) changes from positive to negative. The result verified that this uniaxial crystal-like plasmonic surface gratings showed good superlensing effect at 515 nm when PMMA width:Air width=1:1 where the absolute value of Δn(eff) is relatively large.

Serotonin 6 receptor polymorphism in schizophrenia: frequency, age at onset and cognitive function

The relative abundance of serotonin 6 receptor (5HT6) in some limbic regions and the high affinity of some antipsychotics for 5HT6 suggest that the 5HT6 gene might play a role in the pathogenesis of schizophrenic disorders. A recent study reported an association between a C267T polymorphism of the 5HT6 gene and schizophrenia. In order to test whether the 5HT6 gene plays a role in the pathogenesis of schizophrenic disorders, patients (n = 148) and control subjects (n = 160) were genotyped for 5HT6. We also investigated the relationship between genotypes and patients' age at onset and cognitive function in schizophrenic patients. Cognitive function in the patients was evaluated by the Mini-Mental State Examination (MMSE). The results demonstrated no significant differences in genotype or allele frequencies between controls and patients. In the patient group, age at onset and MMSE score did not differ significantly among the three 5HT6 genotpyes. The results of this study suggest that the 5HT6 C267T polymorphism plays no major role in susceptibility to the development of schizophrenia and is not related to cognitive impairment or age at onset in schizophrenic patients. Further studies of the relation between 5HT6 polymorphism and the symptoms and the therapeutic response in schizophrenic patients may help to elucidate the role of 5HT6 in the pathogenesis of schizophrenia.

Recognition and pose estimation of unoccluded three-dimensional objects from a two-dimensional perspective view by banks of neural networks

This paper describes a neural network (NN) based system for recognition and pose estimation of an unoccluded three-dimensional (3-D) object from any single two-dimensional (2-D) perspective view. The approach is invariant to translation, orientation, and scale. First, the binary silhouette of the object is obtained and normalized for translation and scale. Then, the object is represented by a set of rotation invariant features derived from the complex orthogonal pseudo-Zernike moments of the image. The recognition scheme combines the decisions of a bank of multilayer perceptron NN classifiers operating in parallel on the same data. These classifiers have different topologies and internal parameters, but are trained on the same set of exemplar perspective views of the objects. Next, two pose parameters, elevation and aspect angles, are obtained by a novel two-stage NN system consisting of a quadrant classifier followed by NN angle estimators. Performance is tested on clean and noisy data bases of military ground vehicles. Comparative studies with three other classifiers (a single NN, the weighted nearest-neighbor classifier, and a binary decision tree) are carried out.