University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Capital Region of Denmark, Denmark
Research Article
Biomarkers for Development of Glucocorticoid-Induced Diabetes Mellitus - A Metabolomics-Based Prediction Model
Author(s): Klarskov CK*, Havelund JF, Zegers FD, Færgeman NJ, Schultz HH, Persson F, Debrabant B, Bjergaard UP and Kristensen PL
Background: Glucocorticoid-induced diabetes mellitus (GIDM) is a serious side effect of glucocorticoid (GC) treatment that is associated with both increased mortality and morbidity, but not all patients develop GIDM when treated with GC. The reason is not known, and clinical risk factors predictive of type 2 diabetes do not predict GIDM. Previous metabolomics studies have found specific metabolic disturbances prior to clinical type 2 diabetes. This could also be true for GIDM. The primary aim of this study was to investigate whether distinct metabolic patterns in patients treated with high dose GC can predict development of GIDM.
Material and Methods: Serum from 116 patients about to be treated with or in the first days of treatment with high-dose GC (>100 mg prednisolone equivalent) was analyzed with liquid chromatography-mass spectrometry .. Read More»
DOI:
10.37421/1747-0862.2020.14.461
Molecular and Genetic Medicine received 3919 citations as per Google Scholar report