Philipp Krisai1, Stefanie Leib1, Stefanie Aeschbacher2, Thomas Kofler2, Mustafa Assadian2, Anna Maseli1, John Todd3, Joel Estis3, Martin Risch4, Lorenz Risch5, David Conen6. 1. Department of Medicine, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Switzerland. 2. Cardiovascular Research Institute Basel, University Hospital Basel, Switzerland. 3. Singulex, Inc., 1701 Harbor Bay Parkway Suite 200, Alameda, CA 94502, USA. 4. Labormedizinisches Zentrum Dr. Risch, Schaan, Liechtenstein; Division of Laboratory Medicine, Kantonsspital Graubünden, Chur, Switzerland. 5. Labormedizinisches Zentrum Dr. Risch, Schaan, Liechtenstein; Division of Clinical Biochemistry, Medical University Innsbruck, Austria; Private University, Triesen, Liechtenstein. 6. Department of Medicine, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland; Cardiovascular Research Institute Basel, University Hospital Basel, Switzerland. Electronic address: david.conen@usb.ch.
Abstract
AIMS: Several biomarkers within the iron metabolism pathway have been related to the occurrence of diabetes mellitus, but underlying mechanisms are unknown. The aim of our study was to investigate the differential relationships of iron metabolism with a broad range of diabetes markers in young and healthy adults. DESIGN: 2160 participants aged 25 to 41years were enrolled in a population-based study. Established cardiovascular disease, diabetes or a body mass index >35kg/m(2) were exclusion criteria. Multivariable linear regression models were built to assess the associations of ferritin and transferrin saturation (TSAT) with blood levels of glucagon-like peptide-1 (GLP-1), insulin, homeostatic model assessment-insulin resistance (HOMA-IR), fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c). RESULTS: Median (interquartile range) age was 37 (31, 40) years. In multivariable linear regression analyses, β-coefficients (95% confidence intervals) per 1-SD increase in ferritin were 0.04 (0.02; 0.07, p=0.0008) for GLP-1, 0.06 (0.04; 0.08, p<0.0001) for insulin, 0.07 (0.04; 0.09, p<0.0001) for HOMA-IR, 0.004 (-0.00; 0.01, p=0.07) for FPG and -0.003 (-0.01; -0.00, p=0.07) for HbA1c. β-coefficients (95% CI) per 1-SD increase in TSAT were -0.07 (-0.09; -0.05, p<0.0001) for GLP-1, -0.06 (-0.08; -0.04, p<0.0001) for insulin, -0.07(-0.09; -0.05, p<0.0001) for HOMA-IR, -0.01 (-0.01; -0.00, p<0.0001) for FPG and -0.01 (-0.01; -0.00, p=0.0004) for HbA1c. CONCLUSIONS: Markers of insulin resistance are strongly related with markers of iron metabolism in healthy subjects. These relationships were inconsistent and weaker for short-term and long-term glucose levels. These results may provide insights in the relationships between iron metabolism and diabetes occurrence.
AIMS: Several biomarkers within the iron metabolism pathway have been related to the occurrence of diabetes mellitus, but underlying mechanisms are unknown. The aim of our study was to investigate the differential relationships of iron metabolism with a broad range of diabetes markers in young and healthy adults. DESIGN: 2160 participants aged 25 to 41years were enrolled in a population-based study. Established cardiovascular disease, diabetes or a body mass index >35kg/m(2) were exclusion criteria. Multivariable linear regression models were built to assess the associations of ferritin and transferrin saturation (TSAT) with blood levels of glucagon-like peptide-1 (GLP-1), insulin, homeostatic model assessment-insulin resistance (HOMA-IR), fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c). RESULTS: Median (interquartile range) age was 37 (31, 40) years. In multivariable linear regression analyses, β-coefficients (95% confidence intervals) per 1-SD increase in ferritin were 0.04 (0.02; 0.07, p=0.0008) for GLP-1, 0.06 (0.04; 0.08, p<0.0001) for insulin, 0.07 (0.04; 0.09, p<0.0001) for HOMA-IR, 0.004 (-0.00; 0.01, p=0.07) for FPG and -0.003 (-0.01; -0.00, p=0.07) for HbA1c. β-coefficients (95% CI) per 1-SD increase in TSAT were -0.07 (-0.09; -0.05, p<0.0001) for GLP-1, -0.06 (-0.08; -0.04, p<0.0001) for insulin, -0.07(-0.09; -0.05, p<0.0001) for HOMA-IR, -0.01 (-0.01; -0.00, p<0.0001) for FPG and -0.01 (-0.01; -0.00, p=0.0004) for HbA1c. CONCLUSIONS: Markers of insulin resistance are strongly related with markers of iron metabolism in healthy subjects. These relationships were inconsistent and weaker for short-term and long-term glucose levels. These results may provide insights in the relationships between iron metabolism and diabetes occurrence.
Authors: Joshua Shur; Stephan A R Kannengiesser; Ravi Menezes; Richard Ward; Kevin Kuo; Kartik Jhaveri Journal: Eur Radiol Date: 2019-11-11 Impact factor: 5.315
Authors: Michele F Eisenga; Robin P F Dullaart; Stefan P Berger; John H Sloan; Aiko P J de Vries; Stephan J L Bakker; Carlo A J M Gaillard Journal: Eur J Clin Invest Date: 2016-10-26 Impact factor: 4.686