Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Gewählte Publikation:

Haudum, C.
ELECTROCHEMICAL BIOMARKER DETECTION IN COMMON METABOLIC DISORDERS
PhD-Studium (Doctor of Philosophy); Humanmedizin; [ Dissertation ] Graz Medical University; 2021. pp.

 

Autor*innen der Med Uni Graz:
Betreuer*innen:
Kotzbeck Petra
Obermayer-Pietsch Barbara
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Abstract:
This thesis represents the scientific work done between August 2016 and November 2020 within the PhD programme AMBRA. Its main focus was the detection of biomarkers in common metabolic disorders including diabetes mellitus (DM), polycystic ovary syndrome (PCOS) and cardiovascular disease (CVD), as well as the complex interaction of biomarkers between these research areas. A better interdisciplinary understanding and development of new diagnostic approaches was also a purpose of this thesis. Therefore, chapter I, Biomarker detection with new electrochemical sensor systems, is meant as a developmental technical basis with the aim to serve as framework for the detection and monitoring of biomarkers involved in glucose metabolism. Additionally, chapter II, biomarker research in common metabolic disorders using longitudinal study data, and chapter III, detection of PCOS biomarkers after isoflavone intervention, are also linked by using several biomarker approaches and the special need for a point-of-care (POC) testing solution. This will be possible done? by the newly developed analytical method in this thesis - electrochemical biomarker detection. In this thesis, data from 1050 patients, including over 2800 datasets were collected, sorted, monitored and categorized over the years. The whole dataset includes more than 300 clinically relevant parameters and in addition 650.000 genotype analyses, NMR metabolomic results, and questionnaire data. Parts of this thesis was already published as one first author paper with an additional one currently in submission. It will also serve as a basis for many further publications to identify or validate new biomarkers.

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