The structural organization of aurein precursor cDNAs from the skin secretion of the Australian green and golden bell frog, Litoria aurea.

Aureins are a family of peptides (13-25 residues), some of which possess potent antimicrobial and anti-cancer properties, which have been classified into 5 subgroups based upon primary structural similarities. They were originally isolated from the defensive skin secretions of the closely related Australian bell frogs, Litoria aurea and Litoria raniformis, and of the 23 aurein peptides identified, 10 are common to both species. Using a recently developed technique, we have constructed a cDNA library from the defensive secretion of the green and golden bell frog, L. aurea, and successfully cloned a range of aurein precursor transcripts containing entire open-reading frames. All open-reading frames consisted of a putative signal peptide and an acidic pro-region followed by a single copy of aurein. The deduced precursor structures for the most active aureins (2.2 and 3.1) confirmed the presence of a C-terminal amidation motif whereas that of aurein 5.3 did not. Processed peptides corresponding in molecular mass to aureins 2.2, 2.3, 2.5, 3.1 and 5.3 were identified in the same secretion sample using LC/MS. The application of this technique thus permits parallel peptidomic and transcriptomic analyses on the same lyophilized skin secretion sample circumventing sacrifice of specimens of endangered herpetofauna.

Novel brevinins from Chinese piebald odorous frog (Huia schmackeri) skin deduced from cloned biosynthetic precursors

Antimicrobial peptides represent the most characterized and diverse class of peptides within the defensive skin secretions of anuran amphibians. With an ever expanding database of primary structures, the current accepted rules for nomenclature have become increasingly difficult to apply to peptides whose primary structural attributes are either unique or that fall between those that define existing groups. An additional factor that adds to the confusion is the regular re-classification or revision of existing taxa. In the present study, we have identified five new antimicrobial peptide homologs in the defensive skin secretion of the Chinese piebald odorous frog, Huia schmackeri (formerly Rana (Odorrana) schmackeri), by cloning of their respective biosynthetic precursors. As these peptides are obvious homologs of the brevinin-1 and brevinin-2 families we have named these in accordance: (1) brevinin-1HS1, (2) brevinin-2HS1, (3) brevinin-2HS2, (4) brevinin-2HS3 and (5) brevinin-1HS2. The reasons for adopting these names are discussed. It is clear that with an ever-increasing number of amphibian skin antimicrobial peptides appearing in the literature that a consistent nomenclature scheme needs to be established.

Advanced glycation of fibronectin impairs vascular repair by endothelial progenitor cells: Implications for vasodegeneration in diabetic retinopathy

PURPOSE. Vascular repair by marrow-derived endothelial progenitor cells (EPCs) is impaired during diabetes, although the precise mechanism of this dysfunction remains unknown. The hypothesis for the study was that progressive basement membrane (BM) modification by advanced glycation end products (AGEs) contributes to impairment of EPC reparative function after diabetes-related endothelial injury.

METHODS. EPCs isolated from peripheral blood were characterized by immunocytochemistry and flow cytometry. EPC interactions on native or AGE-modified fibronectin (AGE-FN) were studied for attachment and spreading, whereas chemotaxis to SDF-1 was assessed with the Dunn chamber assay. In addition, photoreactive agent-treated monolayers of retinal microvascular endothelial cells (RMECs) produced circumscribed areas of apoptosis and the ability of EPCs to “endothelialize” these wounds was evaluated.

RESULTS. EPC attachment and spreading on AGE-FN was reduced compared with control cells (P < 0.05–0.01) but was significantly restored by pretreatment with Arg-Gly-Asp (RGD). Chemotaxis of EPCs was abolished on AGE-FN but was reversed by treatment with exogenous RGD. On wounded RMEC monolayers, EPCs showed clustering at the wound site, compared with untreated regions (P < 0.001); AGE-FN significantly reduced this targeting response (P < 0.05). RGD supplementation enhanced EPC incorporation in the monolayer, as determined by EPC participation in tight junction formation and restoration of transendothelial electric resistance (TEER).

CONCLUSIONS. AGE-modification of vascular substrates impairs EPC adhesion, spreading, and migration; and alteration of the RGD integrin recognition motif plays a key role in these responses. The presence of AGE adducts on BM compromises repair by EPC with implications for vasodegeneration during diabetic microvasculopathy.

Mice lacking alpha-tocopherol transfer protein gene have severe alpha-tocopherol deficiency in multiple regions of the central nervous system

Ataxia with vitamin E deficiency is caused by mutations in a-tocopherol transfer protein (a-TTP) gene and it can be experimentally generated in mice by a-TTP gene inactivation (a-TTP-KO). This study compared a-tocopherol (a-T) concentrations of five brain regions and of four peripheral organs from 5 months old, male and female, wild-type (WT) and a-TTP-KO mice. All brain regions of female WT mice contained significantly higher a-T than those from WT males. a-T concentration in the cerebellum was significantly lower than that in other brain regions of WT mice. These sex and regional differences in brain a-T concentrations do not appear to be determined by a-TTP expression which was undetectable in all brain regions. All the brain regions of a-TTP-KO mice were severely depleted in a-T. The concentration of another endogenous antioxidant, total glutathione, was unaffected by gender but was decreased slightly but significantly in most brain regions of a-TTP-KO mice. The results show that both gender and the hepatic a-TTP, but not brain a-TTP gene expression are important in determining a-T concentrations within the brain. Interestingly, functional abnormality (ataxia) develops only very late in a-TTP-KO mice in spite of the severe a-tocopherol deficiency in the brain starting at an early age.

Neuroprotective actions of a histidine analogue in models of ischemic stroke.

Histidine is a naturally occurring amino acid with antioxidant properties, which is present in low amounts in tissues throughout the body. We recently synthesized and characterized histidine analogues related to the natural dipeptide carnosine, which selectively scavenge the toxic lipid peroxidation product 4-hydroxynonenal (HNE). We now report that the histidine analogue histidyl hydrazide is effective in reducing brain damage and improving functional outcome in a mouse model of focal ischemic stroke when administered intravenously at a dose of 20 mg/kg, either 30 min before or 60 min and 3 h after the onset of middle cerebral artery occlusion. The histidine analogue also protected cultured rat primary neurons against death induced by HNE, chemical hypoxia, glucose deprivation, and combined oxygen and glucose deprivation. The histidine analogue prevented neuronal apoptosis as indicated by decreased production of cleaved caspase-3 protein. These findings suggest a therapeutic potential for HNE-scavenging histidine analogues in the treatment of stroke and related neurodegenerative conditions.

MISEP method for postnonlinear blind source separation

In this letter, a standard postnonlinear blind source separation algorithm is proposed, based on the MISEP method, which is widely used in linear and nonlinear independent component analysis. To best suit a wide class of postnonlinear mixtures, we adapt the MISEP method to incorporate a priori information of the mixtures. In particular, a group of three-layered perceptrons and a linear network are used as the unmixing system to separate sources in the postnonlinear mixtures, and another group of three-layered perceptron is used as the auxiliary network. The learning algorithm for the unmixing system is then obtained by maximizing the output entropy of the auxiliary network. The proposed method is applied to postnonlinear blind source separation of both simulation signals and real speech signals, and the experimental results demonstrate its effectiveness and efficiency in comparison with existing methods.

Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme

Previous papers have noted the difficulty in obtaining neural models which are stable under simulation when trained using prediction-error-based methods. Here the differences between series-parallel and parallel identification structures for training neural models are investigated. The effect of the error surface shape on training convergence and simulation performance is analysed using a standard algorithm operating in both training modes. A combined series-parallel/parallel training scheme is proposed, aiming to provide a more effective means of obtaining accurate neural simulation models. Simulation examples show the combined scheme is advantageous in circumstances where the solution space is known or suspected to be complex. (c) 2006 Elsevier B.V. All rights reserved.

Computationally efficient sequential learning algorithms for direct link resource-allocating networks

Computionally efficient sequential learning algorithms are developed for direct-link resource-allocating networks (DRANs). These are achieved by decomposing existing recursive training algorithms on a layer by layer and neuron by neuron basis. This allows network weights to be updated in an efficient parallel manner and facilitates the implementation of minimal update extensions that yield a significant reduction in computation load per iteration compared to existing sequential learning methods employed in resource-allocation network (RAN) and minimal RAN (MRAN) approaches. The new algorithms, which also incorporate a pruning strategy to control network growth, are evaluated on three different system identification benchmark problems and shown to outperform existing methods both in terms of training error convergence and computational efficiency. (c) 2005 Elsevier B.V. All rights reserved.

Improving neural network training solutions using regularisation

This paper describes the application of regularisation to the training of feedforward neural networks, as a means of improving the quality of solutions obtained. The basic principles of regularisation theory are outlined for both linear and nonlinear training and then extended to cover a new hybrid training algorithm for feedforward neural networks recently proposed by the authors. The concept of functional regularisation is also introduced and discussed in relation to MLP and RBF networks. The tendency for the hybrid training algorithm and many linear optimisation strategies to generate large magnitude weight solutions when applied to ill-conditioned neural paradigms is illustrated graphically and reasoned analytically. While such weight solutions do not generally result in poor fits, it is argued that they could be subject to numerical instability and are therefore undesirable. Using an illustrative example it is shown that, as well as being beneficial from a generalisation perspective, regularisation also provides a means for controlling the magnitude of solutions. (C) 2001 Elsevier Science B.V. All rights reserved.

Effect of angiotensin-related antihypertensives on brain neurotransmitter levels in rats.

The extensive clinical experience of angiotensin converting enzyme inhibitors and angiotensin AT(1) receptor antagonists as antihypertensive agents provide numerous examples of anecdotal evidence of improvements in cognition and mood. This study aimed to determine the effect of chronic treatment with the angiotensin converting enzyme inhibitor, perindopril, and the angiotensin AT(1) receptor antagonist, candesartan, on central neurotransmitter levels in the rat. Perindopril (1.0mg/kg/day) or candesartan (10mg/kg/day) was administered via the drinking water at for 1 week, while controls received water alone. At the end of treatment rats were sacrificed, brains removed and discrete regions dissected and analysed for noradrenaline, dopamine and its major metabolites, and serotonin content. As shown previously we found an increase in striatal dopamine levels after perindopril treatment, though this did not extend to the mesolimbic system with neurotransmitter levels unchanged in the hippocampus, nucleus accumbens and frontal cortex. Conversely, candesartan administration produced no change in dopamine, but significant decreases in both DOPAC and HVA in the striatum. In addition chronic candesartan infusion produced a significant increase in the levels of hippocampal noradrenaline and serotonin; and frontal cortex serotonin content. These results demonstrate that while angiotensin converting enzyme inhibitors and angiotensin AT(1) receptor antagonists act as antihypertensives by affecting the renin-angiotensin system, they have divergent actions on brain neurochemistry.