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Metabolomics to identify biomarkers and influencing factors of Type 2 Diabetes
Metabolomics to identify biomarkers and influencing factors of Type 2 Diabetes
Type 2 diabetes (T2D) is a lifelong, incapacitating disease affecting multiple organs, and is associated with devastating chronic complications, which impose an immense burden on the quality of life of the patients and account for more than 10% of health care cost in Europe. Presently, T2D cannot be cured and only pre-diabetes can be prevented. Research presented in this thesis focuses on the identification of candidate metabolite biomarkers of pre-diabetes and T2D with stringent quality control of metabolite profiles in human cohort studies. This enabled the systematic characterization of numerous factors that influence T2D onset and progression such as age, smoking, alcohol consumption and metformin usage. A set of novel metabolite biomarkers (glycine, LPC (18:2) and C2), which are distinct from known diabetes risk factors, such as fasting glucose and HbA1C, have been identified. These improved biomarkers might replace currently considered metabolites (branched-chain and aromatic amino acids) for the detection of pre-diabetes and monitoring T2D progression.
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Wang-Sattler, Rui
2021
English
Universitätsbibliothek der Ludwig-Maximilians-Universität München
Wang-Sattler, Rui (2021): Metabolomics to identify biomarkers and influencing factors of Type 2 Diabetes = Metabolomics zur Identifizierung von Biomarkern und Einflussfaktoren auf Diabetes Typ 2. Habilitationsschrift, LMU München: Faculty of Medicine
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Abstract

Type 2 diabetes (T2D) is a lifelong, incapacitating disease affecting multiple organs, and is associated with devastating chronic complications, which impose an immense burden on the quality of life of the patients and account for more than 10% of health care cost in Europe. Presently, T2D cannot be cured and only pre-diabetes can be prevented. Research presented in this thesis focuses on the identification of candidate metabolite biomarkers of pre-diabetes and T2D with stringent quality control of metabolite profiles in human cohort studies. This enabled the systematic characterization of numerous factors that influence T2D onset and progression such as age, smoking, alcohol consumption and metformin usage. A set of novel metabolite biomarkers (glycine, LPC (18:2) and C2), which are distinct from known diabetes risk factors, such as fasting glucose and HbA1C, have been identified. These improved biomarkers might replace currently considered metabolites (branched-chain and aromatic amino acids) for the detection of pre-diabetes and monitoring T2D progression.