A linear mixed-effects model for multivariate censored data

We apply a linear mixed-effects model to multivariate failure time data. Computation of the regression parameters involves the Buckley-James method in an iterated Monte Carlo expectation-maximization algorithm, wherein the Monte Carlo E-step is implemented using the Metropolis-Hastings algorithm. From simulation studies, this approach compares favorably with the marginal independence approach, especially when there is a strong within-cluster correlation.     

The Association of Tau-Like Proteins with Vimentin Filaments in Cultured Cells

There is increasing evidence that the different polymers that constitute the cytoskeleton are interconnected to form a three-dimensional network. The macromolecular interaction patterns that stabilize this network and its intrinsic dynamics are the basis for numerous cellular processes. Within this context,in vitrostudies have pointed to the existence of specific associations between microtubules, microfilaments, and intermediate filaments. It has also been postulated that microtubule-associated proteins (MAPs) are directly involved in mediating these interactions. The interactions of tau with vimentin filaments, and its relationships with other filaments of the cytoskeletal network, were analyzed in SW-13 adenocarcinoma cells, through an integrated approach that included biochemical and immunological studies. This cell line has the advantage of presenting a wild-type clone (vim+) and a mutant clone (vim−) which is deficient in vimentin expression. We analyzed the cellular roles of tau, focusing on its interactions with vimentin filaments, within the context of its functional aspects in the organization of the cytoskeletal network. Cosedimentation experiments of microtubular protein with vimentin in cell extracts enriched in intermediate filaments, combined with studies on the direct interaction of tau with nitrocellulose-bound vimentin and analysis of tau binding to vimentin immobilized in single-strand DNA affinity columns, indicate that tau interacts with the vimentin network. These studies were confirmed by a quantitative analysis of the immunofluorescence patterns of cytoskeleton-associated tubulin, tau, and vimentin using flow cytometry. In this regard, a decrease in the levels of tau associated to the cytoskeletal network in the vim− cell mutant compared with the wild-type clones was observed. However, immunofluorescence data on SW-13 cells suggest that the absence of a structured network of vimentin in the mutant vim− cells does not affect the cytoplasmic organization formed by microtubules and actin filaments, when compared with the wild-type vim+ cells. These studies suggest that tau associates with vimentin filaments and that these interactions may play a structural role in cells containing these filaments.     

Neurodegeneration in an Aβ-induced model of Alzheimer's disease: the role of Cdk5

Cdk5 dysregulation is a major event in the neurodegenerative process of Alzheimer's disease (AD). In vitro studies using differentiated neurons exposed to Aβ exhibit Cdk5-mediated tau hyperphosphorylation, cell cycle re-entry and neuronal loss. In this study we aimed to determine the role of Cdk5 in neuronal injury occurring in an AD mouse model obtained through the intracerebroventricular (icv) injection of the Aβ_1–40 synthetic peptide. In mice icv-injected with Aβ, Cdk5 activator p35 is cleaved by calpains, leading to p25 formation and Cdk5 overactivation. Subsequently, there was an increase in tau hyperphosphorylation, as well as decreased levels of synaptic markers. Cell cycle reactivation and a significant neuronal loss were also observed. These neurotoxic events in Aβ-injected mice were prevented by blocking calpain activation with MDL28170 , which was administered intraperitoneally (ip). As MDL prevents p35 cleavage and subsequent Cdk5 overactivation, it is likely that this kinase is involved in tau hyperphosphorylation, cell cycle re-entry, synaptic loss and neuronal death triggered by Aβ. Altogether, these data demonstrate that Cdk5 plays a pivotal role in tau phosphorylation, cell cycle induction, synaptotoxicity, and apoptotic death in postmitotic neurons exposed to Aβ peptides in vivo , acting as a link between diverse neurotoxic pathways of AD.     

兴奋性氨基酸受体的激活介导冷水应激诱导的tau蛋白磷酸化

为探讨兴奋性神经传递系统是否参与冷水应激引起的tau蛋白磷酸化,将小鼠于4℃冷水应激5min.采用免疫印迹和免疫组织化学方法分析应激后脑内c-fos和磷酸化tau蛋白的表达情况;运用HPLC检测冷水应激后小鼠脑内兴奋性或抑制性神经递质的变化;同时分析兴奋性氨基酸受体和L-型钙通道拮抗剂预处理后冷水应激小鼠脑内磷酸化tau蛋白的水平.冷水应激后1h,海马内磷酸化tau蛋白的水平显著升高,同时伴c-fos的染色增加.HPLC检测显示,兴奋性和抑制性神经递质呈现急剧上升而后又下降的趋势.冷水应激后15min,天冬氨酸和甘氨酸水平显著升高,1h后天冬氨酸、谷氨酸、牛磺酸和γ-氨基丁酸显著下降.NMDA受体拮抗剂MK-801(5mg/kg)和AMPA受体拮抗剂DNQX(0.5,5mg/kg)可显著抑制冷水应激引起的磷酸化tau蛋白水平的升高,代谢性谷氨酸受体拮抗剂MAP-4不影响tau蛋白的磷酸化,另外,L-型钙通道阻断剂尼莫地平可抑制冷水应激引起的磷酸化tau蛋白水平的升高.这些结果表明,冷水应激可影响兴奋性神经传递系统,通过离子型兴奋性氨基酸受体和异常神经激活来调节tau蛋白的磷酸化.兴奋性神经传递系统的激活在冷水...     

Investigating environmental variation and landscape characteristics of an urban–rural gradient using woodland carabid assemblages

Aim To investigate environmental variation and associated assemblage changes of carabid beetles along an urban–rural gradient. Location ‘Quercus–Acer’ (oak–sycamore) woodlands in the city of Birmingham, UK. Methods We collected carabid data using pitfall traps on 12 sites in the city. The traps were run from April–September in 2000, and we collected environmental data on 24 individual variables associated with the individual sites and their landscape context. Changes in carabid assemblages were analysed using repeat measures anova and the environment–species relationships with a Redundancy Analyses (RDA) and Generalized Linear Modelling (GLM). Results We found that: (1) species richness and diversity were lower in the urban and suburban zone and higher in the rural zone; (2) Berger Parker dominance index was higher in the urban and suburban zones; (3) the number of woodland and woodland associated species was significantly higher at the rural end of the gradient; (4) the number of short‐winged (brachypterous) species was highest in the rural zone and decreased towards the urban woodlands, whereas the long‐winged species were more abundant in suburban woodlands; (5) the median weight length (WML) of the assemblage declined along the gradient from the rural to the urban zone, as did the number of large species; and (6) five of the 24 environmental variables showed a significant relationship with variation in the carabid assemblage. At site level the carabid assemblages were related to the level of site disturbance and soil penetrability, whereas site size and amount of woodland and urban land within 5 km of the site were important at a larger landscape scale. Main conclusions The results suggest that urbanization has a deleterious impact on carabid assemblages, causing a reduction in species richness from the rural fringe to the centre of the city. Changes in assemblage structure were related to woodland fragmentation, which led to variations in woodland size, woodland location and site disturbance due to trampling. Large, flightless and specialist woodland species are more susceptible to changes associated with urbanization, presumably due to their longer life spans, lower reproductive rates, more specialized niches and more limited dispersal potential.     

The Effect of Design Imbalance on the Power of the F‐test of a Variance Component in the One‐Way Random Model

The ANOVA‐based F‐test used for testing the significance of the random effect variance component is a valid test for an unbalanced one‐way random model. However, it does not have an uniform optimum property. For example, this test is not uniformly most powerful invariant (UMPI). In fact, there is no UMPI test in the unbalanced case (see Khuri , Mathew , and Sinha , 1998). The power of the F‐test depends not only on the design used, but also on the true values of the variance components. As Khuri (1996) noted, we can gain a better insight into the effect of data imbalance on the power of the F‐test using a method for modelling the power in terms of the design parameters and the variance components. In this study, generalized linear modelling (GLM) techniques are used for this purpose. It is shown that GLM, in combination with a method of generating designs with a specified degree of imbalance, is an effective way of studying the behavior of the power of the F‐test in a one‐way random model.