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Biomarkers of iron metabolism are independently associated with impaired glucose metabolism and type 2 diabetes: The KORA F4 Study.
Eur. J. Endocrinol. 173, 643-653 (2015)
OBJECTIVE: Iron has been suggested to play a role in the etiology of type 2 diabetes mellitus. Except for ferritin, evidence is sparse for other markers of iron metabolism which are regulated differently and might act through independent pathways. We therefore investigated the associations of serum ferritin, transferrin, soluble transferrin receptor (sTfR), transferrin saturation (TSAT), sTfR-to-log10ferritin (sTfR-F) index, and iron with impaired glucose metabolism (IGM / 'prediabetes'), type 2 diabetes, and four continuous glycemic traits. DESIGN AND METHODS: Data from 2,893 participants of the population-based Cooperative Health Research in the Region of Augsburg (KORA) F4 study (Germany) was investigated through regression analysis. The results were adjusted for socio-demographic, life-style and obesity measures as well as metabolic, inflammatory and other iron biomarkers following a step-wise approach. Non-linearity was tested by adding a non-linear spline component to the model. RESULTS: Ferritin and transferrin were positively associated with IGM (4th vs 1st sex-specific quartile: ferritin OR=2.08 [95%CI 1.43-3.04], transferrin OR=1.89 [1.32-2.70]), type 2 diabetes (ferritin OR=1.98 [1.22-3.22], transferrin OR=2.42 [1.54-3.81]) and fasting as well as 2-h glucose. TSAT (OR=0.55 [0.34-0.88]) and iron (OR=0.61 [0.38-0.97]) were inversely associated with type 2 diabetes, sTfR-F-index was inversely associated with IGM (OR=0.67 [0.48-0.95]). There was no strong evidence for non-linear relationships. CONCLUSIONS: The observed associations of several markers of iron metabolism with hyperglycemia and insulin resistance suggest that iron stores as well as iron-related metabolic pathways contribute to the pathogenesis of IGM and type 2 diabetes. Moreover, TSAT levels are decreased in type 2 diabetic patients.
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Publication type
Article: Journal article
Document type
Scientific Article
ISSN (print) / ISBN
0804-4643
e-ISSN
1479-683X
Quellenangaben
Volume: 173,
Issue: 5,
Pages: 643-653
Publisher
BioScientifica
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology II (EPI2)
CCG Biomarker for the subclassification of T2DM (KKG-KDB)
CCG Nutrigenomics and Type 2 Diabetes (KKG-KDN)
CCG Biomarker for the subclassification of T2DM (KKG-KDB)
CCG Nutrigenomics and Type 2 Diabetes (KKG-KDN)