Proteolytic shedding of ST6Gal-I by BACE1 regulates the glycosylation and function of alpha4beta1 integrins

Differentiation of monocytes into macrophages is accompanied by increased cell adhesiveness, due in part to the activation of alpha4beta1 integrins. Here we report that the sustained alpha4beta1 activation associated with macrophage differentiation results from expression of beta1 integrin subunits that lack alpha2-6-linked sialic acids, a carbohydrate modification added by the ST6Gal-I sialyltransferase. During differentiation of U937 monocytic cells and primary human CD14(+) monocytes, ST6Gal-I is down-regulated, leading to beta1 hyposialylation and enhanced alpha4beta1-dependent VCAM-1 binding. Importantly, ST6Gal-I down-regulation results from cleavage by the BACE1 secretase, which we show is dramatically up-regulated during macrophage differentiation. BACE1 up-regulation, ST6Gal-I shedding, beta1 hyposialylation, and alpha4beta1-dependent VCAM-1 binding are all temporally correlated and share the same signaling mechanism (protein kinase C/Ras/ERK). Preventing ST6Gal-I down-regulation (and therefore integrin hyposialylation), through BACE1 inhibition or ST6Gal-I constitutive overexpression, eliminates VCAM-1 binding. Similarly, preventing integrin hyposialylation inhibits a differentiation-induced increase in the expression of an activation-dependent conformational epitope on the beta1 subunit. Collectively, these results describe a novel mechanism for alpha4beta1 regulation and further suggest an unanticipated role for BACE1 in macrophage function.     

Gamma generalized linear models for pharmacokinetic data

Summary .   This article considers the modeling of single-dose pharmacokinetic data. Traditionally, so-called compartmental models have been used to analyze such data. Unfortunately, the mean function of such models are sums of exponentials for which inference and computation may not be straightforward. We present an alternative to these models based on generalized linear models, for which desirable statistical properties exist, with a logarithmic link and gamma distribution. The latter has a constant coefficient of variation, which is often appropriate for pharmacokinetic data. Inference is convenient from either a likelihood or a Bayesian perspective. We consider models for both single and multiple individuals, the latter via generalized linear mixed models. For single individuals, Bayesian computation may be carried out with recourse to simulation. We describe a rejection algorithm that, unlike Markov chain Monte Carlo, produces independent samples from the posterior and allows straightforward calculation of Bayes factors for model comparison. We also illustrate how prior distributions may be specified in terms of model-free pharmacokinetic parameters of interest. The methods are applied to data from 12 individuals following administration of the antiasthmatic agent theophylline.     

Smad3 in the mammary epithelium has a nonredundant role in the induction of apoptosis, but not in the regulation of proliferation or differentiation by transforming growth factor-beta.

Transforming growth factor-beta (TGF-beta) regulates proliferation, morphogenesis, and functional differentiation in the mammary gland and plays complex roles in mammary tumorigenesis. Here we show that the signaling mediators Smad1-Smad5 are expressed at all stages of mammary gland development. To begin to investigate which Smads mediate which TGF-beta responses, we have analyzed mammary gland development in Smad3 null mice. Smad3 null virgin females showed delayed mammary gland development. However, this phenotype was secondary to ovarian insufficiency because Smad3 null mammary epithelium developed normally in hormonally supplemented Smad3 null mice or when transplanted into wild-type hosts. Absence of Smad3 had no effect on the ability of TGF-beta to inhibit the growth of mammary epithelial cells in culture, and no compensatory changes in expression or activation of Smad2 were seen in the Smad3 null epithelium. A small but significant decrease in apoptotic cells was seen in involuting glands from Smad3 null transplants. The results suggest that epithelial Smad3 is dispensable for TGF-beta effects on proliferation and differentiation in the mammary gland, but that it contributes in a nonredundant manner to the induction of apoptosis.     

Bacterial translation inhibitors, 1-acylindazol-3-ols as anthranilic acid mimics

The discovery and initial optimization of a novel anthranilic acid derived class of antibacterial agents has been described in a recent series of papers. This paper describes the discovery of 1-acylindazol-3-ols as a novel bioisostere of an anthranilic acid. The synthesis and structure-activity relationships of the indazol bioisosteres are described herein.     

Formation of ovarian follicles during fetal development in sheep

The origin of follicle (i.e., pregranulosa) cells that become the somatic component of primordial follicles is obscure. In addition, information regarding the structural changes that accompany the concomitant regression of ovigerous cords and the appearance of primordial follicles is lacking. In the present study, ovine ovaries collected at frequent time intervals between Day 38 and Day 100 of fetal life were examined by light and electron microscopy. To gain new information regarding the origin of follicular cells, incorporation of 5-bromo-2'-deoxyuridine was used to identify proliferating cells at selected stages of development. Based on the location and identity of proliferating cells, apoptotic cells, and sequential changes in histoarchitecture, we hypothesize 1) that most (i.e., >95%) of the granulosal cells in newly formed primordial follicles originate from the ovarian surface epithelium; 2) that the sequential events leading to follicle formation take place entirely within ovigerous cords, with the first follicles forming at the interface of the cortex and medulla; and 3) that the loss (i.e., >75%) of germ cells, but not of somatic cells, within the ovigerous cords is a means by which each surviving oocyte gains additional pregranulosal cells before follicle formation. Conceptual models detailing the chronology of developmental events involved in the formation of primordial follicles in sheep are discussed.     

A hierarchical aggregate data model with spatially correlated disease rates

The aggregate data study design (Prentice and Sheppard, 1995, Biometrika 82, 113-125) estimates individual-level exposure effects by regressing population-based disease rates on covariate data from survey samples in each population group. In this work, we further develop the aggregate data model to allow for residual spatial correlation among disease rates across populations. Geographical variation that is not explained by model predictors and has a spatial component often arises in studies of rare chronic diseases, such as breast cancer. We combine the aggregate and Bayesian disease-mapping models to provide an intuitive approach to the modeling of spatial effects while drawing correct inference regarding the exposure effect. Based on the results of simulation studies, we suggest guidelines for use of the proposed model.     

The combination of population pharmacokinetic studies

Pharmacokinetic data consist of drug concentrations with associated known sampling times and are collected following the administration of known dosage regimens. Population pharmacokinetic data consist of such data on a number of individuals, possibly along with individual-specific characteristics. During drug development, a number of population pharmacokinetic studies are typically carried out and the combination of such studies is of great importance for characterizing the drug and, in particular, for the design of future studies. In this paper, we describe a model that may be used to combine population pharmacokinetic data. The model is illustrated using six phase I studies of the antiasthmatic drug fluticasone propionate. Our approach is Bayesian and computation is carried out using Markov chain Monte Carlo. We provide a number of simplifications to the model that may be made in order to ease simulation from the posterior distribution.     

Environmental Transmission of Typhoid Fever in an Urban Slum

BackgroundEnteric fever due to Salmonella Typhi (typhoid fever) occurs in urban areas with poor sanitation. While direct fecal-oral transmission is thought to be the predominant mode of transmission, recent evidence suggests that indirect environmental transmission may also contribute to disease spread.MethodsData from a population-based infectious disease surveillance system (28,000 individuals followed biweekly) were used to map the spatial pattern of typhoid fever in Kibera, an urban informal settlement in Nairobi Kenya, between 2010–2011. Spatial modeling was used to test whether variations in topography and accumulation of surface water explain the geographic patterns of risk.ResultsAmong children less than ten years of age, risk of typhoid fever was geographically heterogeneous across the study area (p = 0.016) and was positively associated with lower elevation, OR = 1.87, 95% CI (1.36–2.57), p <0.001. In contrast, the risk of typhoid fever did not vary geographically or with elevation among individuals less than 6b ten years of age.ConclusionsOur results provide evidence of indirect, environmental transmission of typhoid fever among children, a group with high exposure to fecal pathogens in the environment. Spatially targeting sanitation interventions may decrease enteric fever transmission.     

Rates of genome evolution and branching order from whole genome analysis

Accurate estimation of any phylogeny is important as a framework for evolutionary analysis of form and function at all levels of organization from sequence to whole organism. Using alignments of nonrepetitive components of opossum, human, mouse, rat, and dog genomes we evaluated two alternative tree topologies for eutherian evolution. We show with very high confidence that there is a basal split between rodents (as represented by the mouse and rat) and a branch joining primates (as represented by humans) and carnivores (as represented by dogs), consistent with some but not the most widely accepted mammalian phylogenies. The result was robust to substitution model choice with equivalent inference returned from a spectrum of models ranging from a general time reversible model, a model that treated nucleotides as either purines and pyrimidines, and variants of these that incorporated rate heterogeneity among sites. By determining this particular branching order we are able to show that the rate of molecular evolution is almost identical in rodent and carnivore lineages and that sequences evolve approximately 11%-14% faster in these lineages than in the primate lineage. In addition by applying the chicken as outgroup the analyses suggested that the rate of evolution in all eutherian lineages is approximately 30% slower than in the opossum lineage. This pattern of relative rates is inconsistent with the hypothesis that generation time is an important determinant of substitution rates and, by implication, mutation rates. Possible factors causing rate differences between the lineages include differences in DNA repair and replication enzymology, and shifts in nucleotide pools. Our analysis demonstrates the importance of using multiple sequences from across the genome to estimate phylogeny and relative evolutionary rate in order to reduce the influence of distorting local effects evident even in relatively long sequences.