Deletion of Gremlin1 increases cell proliferation and migration responses in mouse embryonic fibroblasts

Gremlin1 (Grem1) is an antagonist of bone morphogenetic proteins (BMPs) that plays a critical role in embryonic and postnatal development. Grem1 has been implicated as both a promoter and an inhibitor of cell proliferation driven by BMP-4 and other mitogens in a diverse range of cell types. Recent data showed that Grem1 can trigger angiogenesis via vascular endothelial growth factor receptor (VEGFR2) binding, highlighting that the precise modalities of Grem1 signalling require further elucidation.

Computational learning of the conditional phase-type (C-Ph) distribution: Learning C-Ph distributions

This paper presents a new algorithm for learning the structure of a special type of Bayesian network. The conditional phase-type (C-Ph) distribution is a Bayesian network that models the probabilistic causal relationships between a skewed continuous variable, modelled by the Coxian phase-type distribution, a special type of Markov model, and a set of interacting discrete variables. The algorithm takes a dataset as input and produces the structure, parameters and graphical representations of the fit of the C-Ph distribution as output.The algorithm, which uses a greedy-search technique and has been implemented in MATLAB, is evaluated using a simulated data set consisting of 20,000 cases. The results show that the original C-Ph distribution is recaptured and the fit of the network to the data is discussed.

Discrete Conditional Phase-type model (DC_Ph) for patient waiting time with a logistic regression component to predict patient admission to hospital

Discrete Conditional Phase-type (DC-Ph) models are a family of models which represent skewed survival data conditioned on specific inter-related discrete variables. The survival data is modeled using a Coxian phase-type distribution which is associated with the inter-related variables using a range of possible data mining approaches such as Bayesian networks (BNs), the Naïve Bayes Classification method and classification regression trees. This paper utilizes the Discrete Conditional Phase-type model (DC-Ph) to explore the modeling of patient waiting times in an Accident and Emergency Department of a UK hospital. The resulting DC-Ph model takes on the form of the Coxian phase-type distribution conditioned on the outcome of a logistic regression model.

The Conditional Phase-type distribution: Graphical Models for Continuous Non-Normal Data:The Conditional Phase-type (C-Ph) distribution:

Conditional Gaussian (CG) distributions allow the inclusion of both discrete and continuous variables in a model assuming that the continuous variable is normally distributed. However, the CG distributions have proved to be unsuitable for survival data which tends to be highly skewed. A new method of analysis is required to take into account continuous variables which are not normally distributed. The aim of this paper is to introduce the more appropriate conditional phase-type (C-Ph) distribution for representing a continuous non-normal variable while also incorporating the causal information in the form of a Bayesian network.

Computational techniques for a simple theory of conditional preferences

A simple logic of conditional preferences is defined, with a language that allows the compact representation of certain kinds of conditional preference statements, a semantics and a proof theory. CP-nets and TCP-nets can be mapped into this logic, and the semantics and proof theory generalise those of CP-nets and TCP-nets. The system can also express preferences of a lexicographic kind. The paper derives various sufficient conditions for a set of conditional preferences to be consistent, along with algorithmic techniques for checking such conditions and hence confirming consistency. These techniques can also be used for totally ordering outcomes in a way that is consistent with the set of preferences, and they are further developed to give an approach to the problem of constrained optimisation for conditional preferences.

Connective tissue growth factor/CCN2 stimulates actin disassembly through Akt/protein kinase B-mediated phosphorylation and cytoplasmic translocation of p27(Kip-1)

Connective tissue growth factor (CTGF/CCN2) is a 38-kDa secreted protein, a prototypic member of the CCN family, which is up-regulated in many diseases, including atherosclerosis, pulmonary fibrosis, and diabetic nephropathy. We previously showed that CTGF can cause actin disassembly with concurrent down-regulation of the small GTPase Rho A and proposed an integrated signaling network connecting focal adhesion dissolution and actin disassembly with cell polarization and migration. Here, we further delineate the role of CTGF in cell migration and actin disassembly in human mesangial cells, a primary target in the development of renal glomerulosclerosis. The functional response of mesangial cells to treatment with CTGF was associated with the phosphorylation of Akt/protein kinase B (PKB) and resultant phosphorylation of a number of Akt/PKB substrates. Two of these substrates were identified as FKHR and p27(Kip-1). CTGF stimulated the phosphorylation and cytoplasmic translocation of p27(Kip-1) on serine 10. Addition of the PI-3 kinase inhibitor LY294002 abrogated this response; moreover, addition of the Akt/PKB inhibitor interleukin (IL)-6-hydroxymethyl-chiro-inositol-2(R)-2-methyl-3-O-octadecylcarbonate prevented p27(Kip-1) phosphorylation in response to CTGF. Immunocytochemistry revealed that serine 10 phosphorylated p27(Kip-1) colocalized with the ends of actin filaments in cells treated with CTGF. Further investigation of other Akt/PKB sites on p27(Kip-1), revealed that phosphorylation on threonine 157 was necessary for CTGF mediated p27(Kip-1) cytoplasmic localization; mutation of the threonine 157 site prevented cytoplasmic localization, protected against actin disassembly and inhibited cell migration. CTGF also stimulated an increased association between Rho A and p27(Kip-1). Interestingly, this resulted in an increase in phosphorylation of LIM kinase and subsequent phosphorylation of cofilin, suggesting that CTGF mediated p27(Kip-1) activation results in uncoupling of the Rho A/LIM kinase/cofilin pathway. Confirming the central role of Akt/PKB, CTGF-stimulated actin depolymerization only in wild-type mouse embryonic fibroblasts (MEFs) compared to Akt-1/3 (PKB alpha/gamma) knockout MEFs. These data reveal important mechanistic insights into how CTGF may contribute to mesangial cell dysfunction in the diabetic milieu and sheds new light on the proposed role of p27(Kip-1) as a mediator of actin rearrangement.

CD11b+ bone marrow-derived monocytes are the major leukocyte subset responsible for retinal capillary leukostasis in experimental diabetes in mouse and express high levels of CCR5 in the circulation

We investigated the phenotype of cells involved in leukostasis in the early stages of streptozotocin-induced diabetes in mice by direct observation and by adoptive transfer of calcein-AM-labeled bone marrow-derived leukocytes from syngeneic mice. Retinal whole mounts, confocal microscopy, and flow cytometry ex vivo and scanning laser ophthalmoscopy in vivo were used. Leukostasis in vivo and ex vivo in retinal capillaries was increased after 2 weeks of diabetes (Hb A(1c), 14.2 ± 1.2) when either donor or recipient mice were diabetic. Maximum leukostasis occurred when both donor and recipient were diabetic. CD11b(+), but not Gr1(+), cells were preferentially entrapped in retinal vessels (fivefold increase compared with nondiabetic mice). In diabetic mice, circulating CD11b(+) cells expressed high levels of CCR5 (P = 0.04), whereas spleen (P = 0.0001) and retinal (P = 0.05) cells expressed increased levels of the fractalkine chemokine receptor. Rosuvastatin treatment prevented leukostasis when both recipient and donor were treated but not when donor mice only were treated. This effect was blocked by treatment with mevalonate. We conclude that leukostasis in early diabetic retinopathy involves activated CCR5(+)CD11b(+) myeloid cells (presumed monocytes). However, leukostasis also requires diabetes-induced changes in the endothelium, because statin therapy prevented leukostasis only when recipient mice were treated. The up-regulation of the HMG-CoA reductase pathway in the endothelium is the major metabolic dysregulation promoting leukostasis.