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Modeling Infection, Modeling Tryptophan-Metabolism, In-Host Modeling, Modeling in Pigs, Modeling of Infectious Diseases,Tryptophan-Metabolism
Inhalt:
Gram-negative bacteria secrete lipopolysaccharides (LPS), leading to a host immune response of proinflammatory cytokine secretion. Those proinflammatory cytokines are TNF-α and IFN-γ, which induce the production of indoleamine 2,3-dioxygenase (IDO). IDO production is increased during severe sepsis, and septic shock. High IDO evels are associated with increased mortality.This enzyme catalyzes the degradation of tryptophan (TRP) to kynurenine (KYN) along the kynurenine pathway (KP). KYN is further degraded to kynurenic acid (KYNA). Increased IDO levels accompany with increased levels of KYNA, which is associated with immunoparalysis. Due to its central role, the KP is a potential target of therapeutic intervention. The degradation of TRP to KYN by IDO was intervened by 1-Methyltryptophan (1-MT), which is assumed to inhibit IDO. By administering 1-MT, the survival of 1-MT-treated mice suffering from sepsis increased compared to mice not treated with 1-MT. The levels of downstream metabolites such as KYN and KYNA were expected to be decreased. Surprisingly, in healthy mice and pigs, an increase in KYNA after 1-MT administration was reported. Those unexpected metabolite alterations after 1-MT administration, and the mode of action, were not the focus of recent research. Hence, there is no explanation for KYNA increase, while KYN did not change. This thesis aims to postulate a possible degradation pathway of 1-MT along the KP with the help of ordinary differential equation (ODE) systems. Moreover, the developed ODE models were used to determine the ability of 1-MT to inhibit IDO in vivo. Therefore, a multiplicity of ODE models were developed, including a model of the KP, an extension by lipopolysaccharide (LPS) administration, and 1-MT administration. Moreover, seven ODE models were developed, all considering possible degradation pathways of 1-MT. The most likely degradation pathway was combined with the ODE model of LPS administration, including the inhibitory effects of 1-MT. Those models consist of several dependent equations describing the dynamics of the KP. For each component of the KP, one equation describes the alterations over time. Equations for TRP, KYN, KYNA, and quinolinic acid (QUIN) were developed. Moreover, the alterations of serotonin (SER) were also included. All together belong to the TRP metabolism. They include the degradation of TRP to SER and to KYN, which is further degraded to KYNA and QUIN. Every degradation is catalyzed by an enzyme. Therefore, Michaelis-Menten (MM) equations were used employing the substrate constant Km and the maximal degradation velocity Vmax. To reduce the complexity of parameter calculation, Km values of the different enzymes were fixed to literature values. The remaining parameters of the equations were determined so that the trajectories of the calculated metabolite levels correspond to data. The parameters of different models were determined. To propose a degradation pathway of 1-MT leading to increased KYNA levels, seven models were developed and compared. The most likely model was extended to test whether the inhibitory effects of 1-MT on IDO can be determined. Three different approaches determined the ODE model parameters of the different hypothesis of 1-MT degradation. In the first approach, ODE model parameters were fixed to values fitted to an independent data set. In the second approach, parameters were fitted to a subset of the data set, which was used for simulations of the different hypotheses. The third approach calculated ODE model parameters 100 times without ixed parameters. The parameter set ending up in trajectories of the TRP metabolites, which have the smallest distance to the data, was assumed to be the most likely. The ODE model parameters were fitted to data measured in pigs. Two different experimental models delivered data used in this thesis. The first experimental model activates IDO by LPS administration in pigs. The second one combines the IDO activation by LPS with the administration of 1-MT in pigs. The most likely hypothesis, according to approach 1 was the degradation of 1-MT to KYNA and TRP. For the second data set the most likely one was the direct degradation of 1-MT to KYNA. With approach 2 the most likely degradation pathways were the combination of all degradation pathways and the degradation of 1-MT to TRP and TRP to KYNA. With approach 3 the most likely way of KYNA increase was given by the direct degradation of 1-MT to KYNA. In summary, the three approaches revealed hypothesis 2, the direct degradation of 1-MT to KYNA most frequently. A cell-free assay validated this result. This experiment combined 1-MT or TRP with or without the enzyme kynurenine aminotransferase (KAT). KAT was already shown to degrade TRP directly to KYNA. The levels of TRP, KYN and KYNA were measured. The highest KYNA levels were yielded with an assay adding KAT to 1-MT, corresponding to hypothesis 2. The models describing the inhibitory effects of 1-MT revealed that the model without inhibitory effects of 1-MT on IDO was more likely for all three approaches. The correctness of hypothesis 2 has to be confirmed by further in vitro experiments. It also has to be investigated which reactions promote the degradation of 1-MT to KYNA. The missing inhibitory properties of 1-MT on IDO, determined by the in silico ODE models, align with previous research. It was shown that the saturation of 1-MT was too low, e.g. in pigs, to inhibit IDO efficiently. In this study, the first possible degradation pathway of 1-MT along the KP is proposed. The reliability of the results depends on the quality of the experimental data, and the season, when data were measured. Moreover, the results vary between the different approaches of parameter fitting. Different approaches of parameter fitting have to be included in the analysis to get more evidence for the correctness of the results.
Anmerkung:
Literaturverzeichnis: Seite 123-146
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Dissertation Mathematisch-Naturwissenschaftliche Fakultät der Universität Greifswald 2023
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Kleimeier, Dana Mathematical modeling of the Tryptophan Metabolism During 1-Methyltryptophan administration in pigs in the face of infection Greifswald, 2023
Sprache:
Englisch
Schlagwort(e):
Tryptophan
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Metabolismus
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Mathematische Modellierung
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Modellierung
;
Schwein
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Infektion
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Hochschulschrift
URN:
urn:nbn:de:gbv:9-opus-87369
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