Sustained MAPK activation is dependent on continual NGF receptor regeneration

Endothelial dysfunction due to selective insulin resistance in vascular endothelium: insights from mechanistic modeling

Previously, we have used mathematical modeling to gain mechanistic insights into insulin-stimulated glucose uptake. Phosphatidylinositol 3-kinase (PI3K)-dependent insulin signaling required for metabolic actions of insulin also regulates endothelium-dependent production of the vasodilator nitric oxide (NO). Vasodilation increases blood flow that augments direct metabolic actions of insulin in skeletal muscle. This is counterbalanced by mitogen-activated protein kinase (MAPK)-dependent insulin signaling in endothelium that promotes secretion of the vasoconstrictor endothelin-1 (ET-1). In the present study, we extended our model of metabolic insulin signaling into a dynamic model of insulin signaling in vascular endothelium that explicitly represents opposing PI3K/NO and MAPK/ET-1 pathways. Novel NO and ET-1 subsystems were developed using published and new experimental data to generate model structures/parameters. The signal-response relationships of our model with respect to insulin-stimulated NO production, ET-1 secretion, and resultant vascular tone, agree with published experimental data, independent of those used for model development. Simulations of pathological stimuli directly impairing only insulin-stimulated PI3K/Akt activity predict altered dynamics of NO and ET-1 consistent with endothelial dysfunction in insulin-resistant states. Indeed, modeling pathway-selective impairment of PI3K/Akt pathways consistent with insulin resistance caused by glucotoxicity, lipotoxicity, or inflammation predict diminished NO production and increased ET-1 secretion characteristic of diabetes and endothelial dysfunction. We conclude that our mathematical model of insulin signaling in vascular endothelium supports the hypothesis that pathway-selective insulin resistance accounts, in part, for relationships between insulin resistance and endothelial dysfunction. This may be relevant for developing novel approaches for the treatment of diabetes and its cardiovascular complications.

The role of time delays in P53 gene regulatory network stimulated by growth factor

In this paper, a delayed mathematical model for the P53-Mdm2 network is developed. The P53-Mdm2 network we study is triggered by growth factor instead of DNA damage and the amount of DNA damage is regarded as zero. We study the influences of time delays, growth factor and other important chemical reaction rates on the dynamic behaviors in the system. It is shown that the time delay is a critical factor and its length determines the period, amplitude and stability of the P53 oscillation. Furthermore, as for some important chemical reaction rates, we also obtain some interesting results through numerical simulation. Especially, S (growth factor), k₃ (rate constant for Mdm2_p dephosphorylation), k₁₀ (basal expression of PTEN) and k₁₄ (Rate constant for PTEN-induced Akt dephosphorylation) could undermine the dynamic behavior of the system in different degree. These findings are expected to understand the mechanisms of action of several carcinogenic and tumor suppressor factors in humans under normal conditions.

Nerve growth factor-loaded heparinized cationic solid lipid nanoparticles for regulating membrane charge of induced pluripotent stem cells during differentiation

Nerve growth factor (NGF)-loaded heparinized cationic solid lipid nanoparticles (NGF-loaded HCSLNs) were developed using heparin-stearic acid conjugate, cacao butter, cholesterol, stearylamine (SA), and esterquat 1 (EQ 1). The effect of cationic lipids and lipid matrix composition on the particle size, particle structure, surface molecular composition, chemical structure, electrophoretic mobility, and zeta potential of HCSLNs was investigated. The effect of HCSLNs on the membrane charge of induced pluripotent stem cells (iPSCs) was also studied. The results indicated that the average diameter of HCSLNs was 90-240nm and the particle size of HCSLNs with EQ 1 was smaller than that with SA. The zeta potential and electrophoresis analysis showed that HCSLNs with SA had a positively charged potential and HCSLNs with EQ 1 had a negatively charged potential at pH7.4. The high-resolution transmission electron microscope confirmed the loading of NGF on the surface of HCSLNs. Differentiation of iPSCs using NGF-loaded HCSLNs with EQ 1 exhibited higher absolute values of the electrophoretic mobility and zeta potential than differentiation using NGF-loaded HCSLNs with SA. The immunochemical staining of neuronal nuclei revealed that NGF-loaded HCSLNs can be used for differentiation of iPSCs into neurons. NGF-loaded HCSLNs with EQ 1 had higher viability of iPSCs than NGF-loaded HCSLNs with SA. NGF-loaded HCSLNs with EQ 1 may be promising formulation to regulate the membrane charge of iPSCs during neuronal differentiation.

Convergence in parameters and predictions using computational experimental design

Typically, biological models fitted to experimental data suffer from significant parameter uncertainty, which can lead to inaccurate or uncertain predictions. One school of thought holds that accurate estimation of the true parameters of a biological system is inherently problematic. Recent work, however, suggests that optimal experimental design techniques can select sets of experiments whose members probe complementary aspects of a biochemical network that together can account for its full behaviour. Here, we implemented an experimental design approach for selecting sets of experiments that constrain parameter uncertainty. We demonstrated with a model of the epidermal growth factor–nerve growth factor pathway that, after synthetically performing a handful of optimal experiments, the uncertainty in all 48 parameters converged below 10 per cent. Furthermore, the fitted parameters converged to their true values with a small error consistent with the residual uncertainty. When untested experimental conditions were simulated with the fitted models, the predicted species concentrations converged to their true values with errors that were consistent with the residual uncertainty. This paper suggests that accurate parameter estimation is achievable with complementary experiments specifically designed for the task, and that the resulting parametrized models are capable of accurate predictions.

Transient signaling of Erk1/2, Akt and PLCgamma induced by nerve growth factor in brain capillary endothelial cells

Cumulative evidences suggest that nerve growth factor (NGF) promotes angiogenic effects such as proliferation and migration of endothelial cells (ECs) from different vascular beds, induces capillary sprouting in chorioallantoic membrane and improves in vivo vascularization in a hind-limb ischemic model. In the present study, we sought to investigate the signaling properties of NGF in a microcapillary ECs model compared to those of a neuronal model. NGF-induced phosphorylation of signaling molecules Erk1/2, Akt and PLCgamma were measured using Western blotting and compared between mouse NGF (mNGF) and snake venom NGF analogues. NGFs-induced signaling was TrkA mediated as evident by inhibition with the TrkA antagonist K252a. NGF and its analogues-induced signaling in ECs were characterized by a transient effect in contrast to a prolonged stimulation in neuronal cells. The potency of mouse, cobra and viper NGFs to induce Erk1/2 phosphorylation in ECs was higher than in neurons. In ECs, mNGF exhibited the highest efficacy of stimulation of Erk1/2 phosphorylation, followed by viper and cobra NGFs. The efficacy of stimulation of Erk1/2 phosphorylation measured with neurons was opposite from that in ECs. NGF-induced temporal signaling differences between ECs and neurons may explain the dual vascular and neurotrophic effects of this growth factor.

Regulation of PC12 cell survival and differentiation by the new P2Y-like receptor GPR17

The P2Y-like receptor GPR17 has been reported to respond to both uracil nucleotides and cysteinyl-leukotrienes (cysLTs), such as UDP-glucose and LTD(4). Our previous data suggest a potential role for GPR17 in regulation of both cell viability and differentiation state of central nervous system cells. On this basis, in the present paper we investigated the effect of GPR17 receptor ligands on PC12 cell viability, following induction of morphological differentiation by nerve growth factor (NGF). In addition, the role of GPR17 ligands, either alone or in combination with growth factors, on the degree of PC12 cell differentiation was investigated. GPR17, which was not basally expressed in undifferentiated PC12 cells, was specifically induced by a 10day-treatment with NGF, suggesting a role in the control of neuronal specification. Both UDP-glucose and LTD(4), agonists at the nucleotide and cysLT GPR17 binding sites, respectively, induced a significant pro-survival effect on PC12 cells after priming with NGF. By in vitro silencing experiments with specific small interfering RNAs and by using receptor antagonists, we confirmed that the agonist effects are indeed mediated by the selective activation of GPR17. We also demonstrated that GPR17 agonists act, both alone and synergistically with NGF, to promote neurite outgrowth in PC12 cells. In addition, GPR17 ligands were able to confer an NGF-like activity to the epidermal growth factor (EGF), that, under these experimental conditions, also promoted cell differentiation and neurite elongation. Finally, we show that GPR17 ligands activate the intracellular phosphorylation of both ERK 1/2 and p38 kinases, that have been identified as important signalling pathways for neurotrophins in PC12 cells. Our results establish GPR17 as a neurotrophic regulator for neuronal-like cells and suggest a possible interplay between endogenous uracil derivatives, cysLTs and NGF in the signalling pathways involved in neuronal survival and differentiation. They also represent the first direct demonstration, in a native system, that GPR17 can indeed be activated by uracil nucleotides and cysLTs, in line with what previously demonstrated in recombinant expression systems.

Kinetic analysis of neurotrophin-3-mediated differentiation of embryonic stem cells into neurons

The goal of this study was to develop a kinetic analysis that could predict the behavior of embryonic stem cell-derived neural progenitor cells (ESNPCs) in response to treatment with neurotrophin-3 (NT-3). Previous studies have shown that NT-3 activates the mitogen-activated protein (MAP) kinase cascade in embryonic stem cells and promotes differentiation of ESNPCs into neurons. MAP kinase activation after NT-3 stimulation was confirmed experimentally, and a kinetic analysis was developed using rate constants obtained from the literature. Concentrations of select signaling components were estimated for ESNPCs using real-time reverse transcription polymerase chain reaction by comparing mRNA levels to those of cell types with known protein concentrations. This assumption was validated using Western blots, and incorporated into the analysis. This analysis was used to predict the minimum NT-3 concentration necessary to promote neuronal differentiation of ESNPCs based on the activation of MAP kinase. These predictions were then tested experimentally to confirm the validity of the analysis. Finally, expression of the transcription factor mammalian achate schute homolog 1 and beta-tubulin III (an early neuronal marker) was examined in response to the different NT-3 doses to confirm the link between MAP kinase activation and neuronal differentiation. Overall, this study provides insight into the kinetics of the intracellular processes that promote ESNPC differentiation to neurons.

Thrombopoietin inhibits nerve growth factor-induced neuronal differentiation and ERK signalling

Thrombopoietin (TPO), a hematopoietic growth factor regulating platelet production, and its receptor (TPOR) were recently shown to be expressed in the brain where they exert proapoptotic activity. Here we used PC12 cells, an established model of neuronal differentiation, to investigate the effects of TPO on neuronal survival and differentiation. These cells expressed TPOR mRNA. TPO increased cell death in neuronally differentiated PC12 cells but had no effect in undifferentiated cells. Surprisingly, TPO inhibited nerve growth factor (NGF)-induced differentiation of PC12 cells in a dose- and time-dependent manner. This inhibition was dependent on the activity of Janus kinase-2 (JAK2). Using phospho-kinase arrays and Western blot we found downregulation of the NGF-stimulated phosphorylation of the extracellular signal-regulated kinase p42ERK by TPO with no effect on phosphorylation of Akt or stress kinases. NGF-induced phosphorylation of ERK-activating kinases, MEK1/2 and C-RAF was also reduced by TPO while NGF-induced RAS activation was not attenuated by TPO treatment. In contrast to its inhibitory effects on NGF signalling, TPO had no effect on epidermal growth factor (EGF)-stimulated ERK phosphorylation or proliferation of PC12 cells. Our data indicate that TPO via activation of its receptor-bound JAK2 delays the NGF-dependent acquisition of neuronal phenotype and decreases neuronal survival by suppressing NGF-induced ERK activity.

Akt versus p53 in a network of oncogenes and tumor suppressor genes regulating cell survival and death

The tumor suppressor protein, p53, and the oncoprotein, Akt, are involved in a cross talk that could be at the core of a cell's control machinery for switching between survival and death. This cross talk is a combination of reciprocally antagonistic pathways emanating from p53 and Akt, and also involves another tumor suppressor gene, PTEN, and another oncogene, Mdm2; such a connected network of cancer-relevant genes must be significant and demands a critical study. The p53-Akt network is shown in this report to possess the potential to exhibit bistability, a phenomenon in which two stable steady states of the system coexist for a fixed set of control parameter values. A hierarchy of qualitative networks and abstract kinetic models are analyzed and simulated on a computer to demonstrate the robustness of the bistable behavior, which, as argued in this study, is a likely candidate mechanism for a cellular survival-death switch. The analysis applies to cells that are neither p53-null nor Akt-null. The models presented here offer experimental predictions on the identity of control parameters of apoptotic thresholds and on network perturbations (including DNA damage and Akt inhibition) that are sufficient to generate switching between pro-survival and pro-death cellular states.

Actions of neurotrophic factors and their signaling pathways in neuronal survival and axonal regeneration

Adult axons in the mammalian central nervous system do not elicit spontaneous regeneration after injury, although many affected neurons have survived the neurotrauma. However, axonal regeneration does occur under certain conditions. These conditions include: (a) modification of regrowth environment, such as supply of peripheral nerve bridges and transplantation of Schwann cells or olfactory ensheathing glia to the injury site; (b) application of neurotrophic factors at the cell soma and axon tips; (c) blockade of growth-inhibitory molecules such as Nogo-A, myelin-associated glycoprotein, and oligodendrocyte-myelin glycoprotein; (d) prevention of chondroitin-sulfate-proteoglycans-related scar tissue formation at the injury site using chondroitinase ABC; and (e) elevation of intrinsic growth potential of injured neurons via increasing intracellular cyclic adenosine monophosphate level. A large body of evidence suggests that these conditions achieve enhanced neuronal survival and axonal regeneration through sometimes overlapping and sometimes distinct signal transduction mechanisms, depending on the targeted neuronal populations and intervention circumstances. This article reviews the available information on signal transduction pathways underlying neurotrophic-factor-mediated neuronal survival and neurite outgrowth/axonal regeneration. Better understanding of signaling transduction is important in helping us develop practical therapeutic approaches for encouraging neuronal survival and axonal regeneration after traumatic injury in clinical context.

Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway

The MAPK (mitogen-activated protein kinase) pathway is one of the most important and intensively studied signalling pathways. It is at the heart of a molecular-signalling network that governs the growth, proliferation, differentiation and survival of many, if not all, cell types. It is de-regulated in various diseases, ranging from cancer to immunological, inflammatory and degenerative syndromes, and thus represents an important drug target. Over recent years, the computational or mathematical modelling of biological systems has become increasingly valuable, and there is now a wide variety of mathematical models of the MAPK pathway which have led to some novel insights and predictions as to how this system functions. In the present review we give an overview of the processes involved in modelling a biological system using the popular approach of ordinary differential equations. Focusing on the MAPK pathway, we introduce the features and functions of the pathway itself before comparing the available models and describing what new biological insights they have led to.