TRANSIENT LIPOPOLYSACCHARIDE-INDUCED CYTOKINE RESPONSES IN THE MATERNAL AND FETAL GUINEA PIG

The aim of this study was to further investigate the role of pro-inflammatory cytokines in the pathogenesis of fetal cererbral white matter injury associated with chorioamnionitis by charaterizing the time course of the cytokine response in the pregnant guinea pig following a maternal inflammatory insult. Chorioamnionitis increases the risk for fetal brain injury. In the guinea pig, a threshold maternal inflammatory response must be reached for significant fetal brain injury to occur. However, a previous study demonstrated that, by seven days after an acute maternal inflammatory insult, cytokine levels in both maternal and fetal compartments are not different from controls. The purpose of this study, therefore, was to test the hypothesis that a significant cytokine response occurs within the first seven days following an acute maternal inflammatory response. Pregnant guinea pigs (n=34) were injected intraperitoneally with 100µg/kg lipopolysaccharide (LPS) at 70% gestation and euthanized at 24 hours, 48 hours or 5 days following endotoxin exposure. Control animals were euthanized at 70% gestation without exposure. Concentrations of interleukin-6, interleukin 1-β and tumour necrosis factor-α (IL-6, IL-1β, TNF-α) were quantified in the maternal serum and amniotic fluid by enzyme-linked immunosorbent assay. IL-6 and IL-1β concentrations were elevated in the maternal serum at 24 hours and returned to control levels by five days. In the amniotic fluid, IL-6 peaked at 48 hours and IL-1β at 24 hours. TNF-α levels were not significantly increased. A single maternal LPS injection produces transient increases in cytokine concentrations in the maternal serum and amniotic fluid. This further implicates the cytokines as potential mediators of fetal white matter damage. Although this response might not be sufficient to produce the brain injury itself, it may initiate harmful pro-inflammatory cytokine cascades, which could even continue to harm the fetus following delivery. A human diagnostic protocol was developed to assess the use of serial serum biomarkers, including IL-6 and TNF-α, in the prediction of histological chorioamnionitis. Preliminary analysis of the pilot study suggests that certain biomarkers might be worthy of further investigation in a larger-scale study.

Investigation of the effect of intrauterine inflammation and infection on fetal brain injury using human and animal models

In recent years, increased focus has been placed on the role of intrauterine infection and inflammation in the pathogenesis of fetal brain injury leading to neurodevelopmental disorders such as cerebral palsy. At present, the mechanisms by which inflammatory processes during pregnancy cause this effect on the fetus are poorly understood. Our previous work has indicated an association between experimentally-induced intrauterine infection, increased proinflammatory cytokines, and increased white matter injury in the guinea pig fetus. In order to further elucidate the pathways by which inflammation in the maternal system or the fetal membranes leads to fetal impairment, a number of studies investigating aspects of the disease process have been performed. These studies represent a body of work encompassing novel research and results in a number of human and animal studies. Using a guinea pig model of inflammation, increased amniotic fluid proinflammatory cytokines and fetal brain injury were found after a maternal inflammatory response was initiated using endotoxin. In order to more closely monitor the fetal response to chorioamnionitis, a model using the chronically catheterized fetal ovine was carried out. This study demonstrated the adverse effects on fetal white matter after intrauterine exposure to bacterial inoculation, though the physiological parameters of the fetus were relatively stable throughout the experimental protocol, even when challenged with intermittent hypoxic episodes. The placenta is an important mediator between mother and fetus during gestation, though its role in the inflammatory process is largely undefined. Studies on the placental role in the inflammatory process were undertaken, and the limited ability of proinflammatory cytokines and endotoxin to cross the placenta are detailed herein. Neurodevelopmental disorders can be monitored in animal models in order to determine effective disease models for characterization of injury and use in therapeutic strategies. Our characterizations of postnatal behaviour in the guinea pig model using motility monitoring and spatial memory testing have shown small but significant differences in pups exposed to inflammatory processes in utero. The data presented herein contributes a breadth of knowledge to the ongoing elucidation of the pathways by which fetal brain injury occurs. Determining the pathway of damage will lead to discovery of diagnostic criteria, while determining the vulnerabilities of the developing fetus is essential in formulating therapeutic options.

Heightened maternal inflammation is linked to placental oxidative and nitrosative stress associated with fetal growth restriction in the rat

Deficient trophoblast invasion and spiral artery remodeling are associated with pregnancy complications such as pre-eclampsia (PE) and fetal growth restriction (FGR). Using a model in which pregnant Wistar rats are given daily, low-dose, injections of bacterial lipopolysaccharide (LPS; 10 – 40 µg/kg) on gestational days (GD) 13.5 – 16.5, our group has shown that abnormal maternal inflammation is causally linked to shallow trophoblast invasion, deficient spiral artery remodeling, and altered utero-placental hemodynamics leading to FGR/PE; these alterations were shown to be mediated by TNF-a. The present research evaluated certain consequences of decreased placental perfusion; this was accomplished by examining placental alterations indicative of decreased placental perfusion. Additionally, the role of glyceryl trinitrate (GTN) was determined as a potential therapeutic to prevent the consequences of decreased placental perfusion. Results indicated that dams experiencing heightened maternal inflammation showed significantly greater expression of hypoxia-inducible factor-1a (HIF-1a) and nitrotyrosine, both of which are markers of decreased perfusion and oxidative/nitrosative stress. Contrary to expectations, inflammation did not appear to affect nitric oxide (NO) bioavailability, as revealed by a lack of change in placental or plasma levels of cyclic guanosine monophosphate (cGMP). However, continuous transdermal administration of GTN (25 µg/hr) on GD 12.5 – 16.5 prevented the accumulation of HIF-1a and nitrotyrosine in placentas from LPS-treated rats. These results support the concept that maternal inflammation contributes to placental hypoxia and oxidative/nitrosative stress. Additionally, they indicate that GTN has potential applications in the treatment and/or prevention of pregnancy complications associated with abnormal maternal inflammation.

Petri Net Siphon Analysis and Network Centrality Measures for Identifying Combination Therapies in Signaling Pathways

Aberrant behavior of biological signaling pathways has been implicated in diseases such as cancers. Therapies have been developed to target proteins in these networks in the hope of curing the illness or bringing about remission. However, identifying targets for drug inhibition that exhibit good therapeutic index has proven to be challenging since signaling pathways have a large number of components and many interconnections such as feedback, crosstalk, and divergence. Unfortunately, some characteristics of these pathways such as redundancy, feedback, and drug resistance reduce the efficacy of single drug target therapy and necessitate the employment of more than one drug to target multiple nodes in the system. However, choosing multiple targets with high therapeutic index poses more challenges since the combinatorial search space could be huge. To cope with the complexity of these systems, computational tools such as ordinary differential equations have been used to successfully model some of these pathways. Regrettably, for building these models, experimentally-measured initial concentrations of the components and rates of reactions are needed which are difficult to obtain, and in very large networks, they may not be available at the moment. Fortunately, there exist other modeling tools, though not as powerful as ordinary differential equations, which do not need the rates and initial conditions to model signaling pathways. Petri net and graph theory are among these tools. In this thesis, we introduce a methodology based on Petri net siphon analysis and graph network centrality measures for identifying prospective targets for single and multiple drug therapies. In this methodology, first, potential targets are identified in the Petri net model of a signaling pathway using siphon analysis. Then, the graph-theoretic centrality measures are employed to prioritize the candidate targets. Also, an algorithm is developed to check whether the candidate targets are able to disable the intended outputs in the graph model of the system or not. We implement structural and dynamical models of ErbB1-Ras-MAPK pathways and use them to assess and evaluate this methodology. The identified drug-targets, single and multiple, correspond to clinically relevant drugs. Overall, the results suggest that this methodology, using siphons and centrality measures, shows promise in identifying and ranking drugs. Since this methodology only uses the structural information of the signaling pathways and does not need initial conditions and dynamical rates, it can be utilized in larger networks.