Contrasting expression of membrane metalloproteinases, MT1-MMP and MT3-MMP, suggests distinct functions in skeletal development

Membrane-type 1 matrix metalloproteinase (MT1-MMP) is the most ubiquitous and widely studied of the membrane-type metalloproteinases (MT-MMPs). It was thus surprising to find no published data on chicken MT1-MMP. We report here the characterization of the chicken gene. Its low sequence identity with the MT1-MMP genes of other species, high GC content, and divergent catalytic domain explains the absence of data and our difficulties in characterizing the gene. The absence of structural features in the chicken gene that have been suggested to be critical for the activation of MMP-2 by MT1-MMP; for the effect of MT1-MMP on cell migration and for the recycling of MT1-MMP suggest these features are either not essential or that MT1-MMP does not perform these functions in chickens. Comparison of the expression of chicken MT1-MMP with MT3-MMP and with MMP-2 and MMP-13 has confirmed the previously recognized co-expression of MT1-MMP with MMP-2 and MMP-13 in fibrous and vascular tissues, particularly those surrounding the developing long bones in other species. By contrast, MT3-MMP expression differs markedly from that of MT1-MMP and of both MMP-2 and MMP-13. MT3-MMP is expressed by chondrocytes of the developing articular surface. Similar expression patterns of this group of MT-MMPs and MMPs have been observed in mouse embryos and suggest distinct and specific functions for MT1-MMP and MT3-MMP in skeletal development.     

Dynamic Neural Network Models of the Premotoneuronal Circuitry Controlling Wrist Movements in Primates

Dynamic recurrent neural networks were derived to simulate neuronal populations generating bidirectional wrist movements in the monkey. The models incorporate anatomical connections of cortical and rubral neurons, muscle afferents, segmental interneurons and motoneurons; they also incorporate the response profiles of four populations of neurons observed in behaving monkeys. The networks were derived by gradient descent algorithms to generate the eight characteristic patterns of motor unit activations observed during alternating flexion-extension wrist movements. The resulting model generated the appropriate input-output transforms and developed connection strengths resembling those in physiological pathways. We found that this network could be further trained to simulate additional tasks, such as experimentally observed reflex responses to limb perturbations that stretched or shortened the active muscles, and scaling of response amplitudes in proportion to inputs. In the final comprehensive network, motor units are driven by the combined activity of cortical, rubral, spinal and afferent units during step tracking and perturbations.The model displayed many emergent properties corresponding to physiological characteristics. The resulting neural network provides a working model of premotoneuronal circuitry and elucidates the neural mechanisms controlling motoneuron activity. It also predicts several features to be experimentally tested, for example the consequences of eliminating inhibitory connections in cortex and red nucleus. It also reveals that co-contraction can be achieved by simultaneous activation of the flexor and extensor circuits without invoking features specific to co-contraction.     

Age dependent expression of melatonin membrane receptor (MT1, MT2) and its role in regulation of nitrosative stress in tropical rodent Funambulus pennanti

Age-dependent declining level of melatonin induces free radical load and thereby deteriorates immune function. However, reports are lacking about age-dependent melatonin membrane receptor (MT1 & MT2) expression, their role in regulation of reactive nitrogen species (RNS) and eventually how they affect immunity of a tropical rodent F. pennanti. We checked MT1R, MT2R and iNOS expression in lymphoid organs of young middle and old aged squirrels. Nitrite and nitrate ion concentration (NOx) in lymphoid organs, testes and plasma, lymphocyte proliferation and IL-2 level was recorded. Age-dependent decrease in MT1 and MT2 receptor expression, lymphocyte proliferation, IL-2 level and increased RNS in lymphoid organs, testes and plasma was observed with decreased circulatory melatonin. Androgen and AR expression was increased in middle-aged while declined in old-aged squirrels. Present study suggests that age associated immunosenescence is consequence of increased RNS which might have important relationship with melatonin membrane receptors in F. pennanti.     

Role of the MT1 and MT2 melatonin receptors in mediating depressive‐ and anxiety‐like behaviors in C3H/HeN mice

Melatonin is a neurohormone primarily synthesized by the pineal gland following a circadian rhythm with a high level during the night and a low level during the day. Alterations in the synthesis and secretion of melatonin have been reported in various mood disorders, including major depressive disorder. However, the role of endogenous melatonin in the pathophysiology of depressive disorder is unclear. Melatonin primarily acts through two G protein‐coupled receptors, termed MT₁ and MT₂. The present study investigated the effect of genetic deletion of the MT₁ and/or MT₂ receptors on tests associated with depression‐ and anxiety‐like behaviors in C3H/HeN mice. Deletion of the MT₁ and/or MT₂ receptors caused a deficit in hedonic and social interaction behavior, and increased anxiety‐like behavior. It is likely that dysregulations of the MT₁ and/or MT₂ melatonin receptors could be involved in the pathophysiology of depression and anxiety.     

Age- and sex-dependent effect of exogenous melatonin on expression pattern of melatonin receptor (MT1 and MT2) proteins in spleen of mice

Spleen is an important lymphoid organ which exerts immune activities throughout the life in mammals. In this study, we investigated the age- and sex-dependent effect of exogenous melatonin on expression pattern of MT1 and MT2 melatonin receptor proteins in spleen of laboratory Swiss albino mice in three different age-groups – 2, 4, and 8 months. The melatonin receptor expression patterns were studied by immunohistochemical localization and Western blot analysis. Immunohistochemical study showed reactivity of MT1 and MT2 melatonin receptors in spleen of both male and female mice. Exogenous melatonin significantly showed age- and sex-dependent expression pattern of MT1 receptor protein, while MT2 receptors showed only age-dependent differential expression patterns in both male and female mice. Therefore, this study may suggest that exogenous melatonin is modulating MT1 and MT2 receptor protein expression pattern in age- and sex-dependent manner in spleen of mice.     

MT1F mRNA在结肠癌组织中的表达及其临床病理意义

目的:探讨MT1F mRNA在结肠癌组织中的表达及其临床病理意义。方法:采用Taq Man探针实时荧光定量Real-time PCR检测40例结肠癌及对应正常粘膜组织中MT1F mRNA的表达,并通过免疫组化检测Metallothionein(MT)的蛋白表达。结果:82.5%(33/40例)的结肠癌组织MT1F mRNA表达较对应正常组织明显下调,降低2.4倍至113倍不等。MT1F mRNA水平与结肠癌患者的年龄、性别、肿瘤部位、肉眼形态、直径、分化及Dukes分期无关。在MT1F mRNA低表达的病例中,癌组织MT蛋白表达低于对应正常组织(P0.05)。结论:结肠癌组织MT1F mRNA水平显著下调,但与结肠癌的临床病理特征无关。     

A Controlled Attractor Network Model of Path Integration in the Rat

Cells in several areas of the hippocampal formation show place specific firing patterns, and are thought to form a distributed representation of an animals current location in an environment. Experimental results suggest that this representation is continually updated even in complete darkness, indicating the presence of a path integration mechanism in the rat. Adopting the Neural Engineering Framework (NEF) presented by Eliasmith and Anderson (2003) we derive a novel attractor network model of path integration, using heterogeneous spiking neurons. The network we derive incorporates representation and updating of position into a single layer of neurons, eliminating the need for a large external control population, and without making use of multiplicative synapses. An efficient and biologically plausible control mechanism results directly from applying the principles of the NEF. We simulate the network for a variety of inputs, analyze its performance, and give three testable predictions of our model.     

Robustness of a Neural Network Model for Differencing

A neural network, originally proposed as a model for nuclei in the auditory brainstem, uses gradients of cell thresholds to reliably compute the difference of inputs over wide input ranges. The encoding of difference is linear even though the individual components of the network are finite, saturating, nonlinear devices highly dependent on input level. Theorems are proven that explain the linear dependence of network output on difference and that show the robustness of the network to perturbations of the threshold gradients. There is some evidence that the network exists in the neural tissue of the auditory brainstem.     

嗅觉系统神经网络模型的模拟与动力学特性分析

在哺乳动物嗅觉系统的拓扑结构及生理实验的基础上建立了一套非线性动力学神经网络模型．此模型在模拟嗅觉神经系统方面有着突出的优点,同时在信号处理以及模式识别中表现出了奇异的混沌特性．着重描述了K系列模型的非线性动力学特性,并通过数值模拟进行分析．     

Elastokine-mediated up-regulation of MT1-MMP is triggered by nitric oxide in endothelial cells

Membrane-type I matrix metalloproteinase (MT1-MMP) has been previously reported to be up-regulated in human microvascular endothelial cell-1 line (HMEC) by elastin-derived peptides (elastokines). The aim of the present study was to identify the signaling pathways responsible for this effect. We showed that elastokines such as (VGVAPG)₃ peptide and kappa elastin induced nitric oxide (NO) production in a time-, concentration- and receptor-dependent manner as it could be abolished by lactose and a receptor-derived competitive peptide. As evidenced by the use of NO synthase inhibitors, elastokine-mediated up-regulation of MT1-MMP and pseudotube formation on Matrigel required NO production through activation of the PI₃-kinase/Akt/NO synthase and NO/cGMP/Erk1/2 pathways. Elastokines induced both PI₃-kinase p110γ sub-unit, Akt and Erk1/2 activation, as shown by a transient increase in phospho-Akt and phospho-Erk1/2, reaching a maximum after 5 and 15 min incubation, respectively. Inhibitors of PI₃-kinase and MEK1/2 suppressed elastokine-mediated MT1-MMP expression at both the mRNA and protein levels, and decreased the ability of elastokines to accelerate pseudotube formation. Besides, elastokines mediated a time- and concentration-dependent increase of cGMP, suggesting a link between NO and MT1-MMP expression. This was validated by the use of a guanylyl cyclase inhibitor, a NO donor and a cGMP analog. The guanylyl cyclase inhibitor abolished the stimulatory effect of elastokines on MT1-MMP expression. Inversely, the cGMP analog, mimicked the effect of both elastokines and NO donor in a concentration- and time-dependent manner. Overall, our results demonstrated that such elastokine properties through NO and MT1-MMP may be of importance in the context of tumour progression.     

Backpropagation Neural Network for Processing of Missing Data in Breast Cancer Detection

BackgroundA complete dataset is essential for biomedical implementation. Due to the limitation of objective or subjective factors, missing data often occurs, which exerts uncertainty in the subsequent data processing. Commonly used methods of interpolation are interpolating substitute values that keep minimum error. Some applications of statistics are usually used for handling this problem.MethodsWe are trying to find a higher performance interpolation method compared with the usual statistic methods, by using artificial intelligence which is in full swing today. The prediction and classification of backpropagation neural network are used in this paper, describes a missing data interpolation method to propose the interpolation model that mines association rules in the data. In the experiment, depending on a multi-layer network structure, the model is trained and tested by sample data, constantly revises network weights and thresholds. The error function decreases along the negative gradient direction and approaches the expected real output. The model is validated on the breast cancer dataset, and we select real samples from the data set for validation, moreover, add four traditional methods as a control group.ResultsThe proposed method has great performance improvement in the interpolation of missing data. Experimental results show that the interpolation accuracy of our proposed method (84%) is higher than four traditional methods (1.33%, 74.67%, 73.33%, 77.33%) as mentioned in this paper, BPNN stays low in MSE evaluation. Finally, we analyze the performance of various methods in processing missing data.ConclusionsThe study in this paper has estimated missing data with high accuracy as much as possible to reduce the negative impact in the diagnosis of real life. At the same time, it can also assist in missing data processing in the biomedical field.     

Influence of +1245 A/G MT1A polymorphism on advanced glycation end-products (AGEs) in elderly: effect of zinc supplementation

Advanced glycation end-products (AGEs) stimulate reactive oxygen species (ROS) generation and represent a risk factor for atherosclerosis, while their formation seems to be prevented by zinc. Metallothioneins (MT), zinc-binding proteins exert an antioxidant function by regulating intracellular zinc availability and protecting cells from ROS damages. +1245 A/G MT1A polymorphism was implicated in type 2 diabetes and in cardiovascular disease development as well as in the modulation of antioxidant response. The purpose of this study was to investigate the influence of +1245 A/G MT1A polymorphism on AGEs and ROS production and to verify the effect of zinc supplementation on plasma AGEs, zinc status parameters and antioxidant enzyme activity in relation to this SNP. One hundred and ten healthy subjects (72 ± 6 years) from the ZincAge study were supplied with zinc aspartate (10 mg/day for 7 weeks) and screened for +1245 MT1A polymorphism. +1245 MT1A G+ (Arginine) genotype showed higher plasma AGEs and ROS production in peripheral blood mononuclear cells (PBMCs) than G− (Lysine) one at the baseline. No significant changes after zinc supplementation were observed for AGEs, ROS and MT levels as well as for enzyme antioxidant activity in relation to the genotype. Among zinc status parameters, major increases were observed for the intracellular labile zinc (iZnL) and the NO-induced release of zinc in PBMCs, in G+ genotype as compared to G− one. In summary, +1245 G+ carriers showed increased plasma AGEs and ROS production in PBMCs at baseline and a higher improvement in iZnL after zinc intervention with respect to G− individuals.

Electronic supplementary material

The online version of this article (doi:10.1007/s12263-014-0426-2) contains supplementary material, which is available to authorized users.     

Prointegrin maturation follows rapid trafficking and processing of MT1-MMP in Furin-Negative Colon Carcinoma LoVo Cells

Understanding the function of invasion-promoting membrane type-1 matrix metalloproteinase (MT1-MMP) is of paramount importance for understanding cancer biology. MT1-MMP is synthesized in cells as a latent zymogen that requires the cleavage of its prodomain to exert the proteolytic activity. The mature alphav integrin subunit is also generated by endoproteolytic cleavage of the alphav subunit precursor (pro-alphav). Cleavage by furin is considered to be a principal event in the activation of both MT1-MMP and pro-alphav. To elucidate the alternative activation pathway of MT1-MMP and pro-alphav, we employed furin-negative LoVo cells, which co-express MT1-MMP with integrin alphavbeta3. In these cells the MT1-MMP proenzyme was rapidly trafficked to the plasma membrane via an unconventional Brefeldin A-resistant pathway and, then, autocatalytically processed on the cell surface. Next, the MT1-MMP activity converted the cell surface-associated pro-alphav into the mature alphav integrin, represented by the disulfide-bonded heavy and light chains, and promoted the formation of the functional integrin alphavbeta3 heterodimer. These events stimulated cell motility in vitro, and malignant invasion and tumor growth in vivo. Our data suggest that in furin-negative colon carcinoma cells MT1-MMP is autocatalytically processed and the active protease then operates as a prointegrin convertase. Our findings argue strongly that the processing by furin is not a prerequisite for the activation of MT1-MMP.     

谷氨酸发酵过程的神经网络模拟预测模型

人工神经网络是八十年代迅速兴起的一门非线性科学．它力图模拟人脑的一些基本特性。如自组织性、自适应性和容错性能等,已在模式识别、数据处理和自动化控制等方面得到了初步应用,取得了很好的效果〔1〕。 本文根据上海某味精厂某发酵罐的一批批报数据,利用人工神经网络的一典型模型－“反向传播”模型,初步尝试了神经网络模拟预测方法的效果,有关这方面的研究工作尚未见报道．