PuSH - Publication Server of Helmholtz Zentrum München: Deep metabotyping of Exhaled Breath Condensate (EBC) – characterization of surrogate markers for systemic metabolism and non-invasive diagnostics in Diabetes.

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Moritz, F.

Deep metabotyping of Exhaled Breath Condensate (EBC) – characterization of surrogate markers for systemic metabolism and non-invasive diagnostics in Diabetes.

Tiefe Metabotypisierung von Atemkondensat – Charakterisierung von Surrogat-Markern für systemischen Metabolismus und non-invasive Diagnostik für Diabetes.

München, Technische Universität, Fakultät Wissenschaftszentrum Weihenstephan, Diss., 2015, 207 S.

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The present manuscript treats problems of data analysis in the field of metabolomics. Specifically, the treatment of matrix effects in exhaled breath condensate (EBC) studies, the extended network-based annotation of m/z-features and the nature of multivariate data analysis are treated. A first link between EBC profiles and systemic metabolism is established at hand of the HuMet study – a nutritional study.

Die vorliegende Dissertation behandelt Probleme der Datenanalytik im Bereich der Metabolomik. Im speziellen wird die Handhabung von Matrixeffekten in Atemkondensat-Studien, die erweiterte netzwerk-basierte Annotierung von m/z Signalen und die Natur der Multivariaten Datenanalyse behandelt. Anhand der HuMet Studie – einer Ernährungsstudie – wird erstmals eine Verbindung zwischen Atemkondensatprofilen und systemischem Metabolismus hergestellt.