Cited by 124Iron Metabolism and DisordersAdipokines, Inflammation, and Metabolic DiseasesTrace Elements in Health

Body iron stores and risk of type 2 diabetes: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study

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Montonen, J., Boeing, H., Steffen, A., Lehmann, R., Fritsche, A., Joost, H.-G., Schulze, M. B., Pischon, T.·2012·Diabetologia

Abstract

AIMS/HYPOTHESIS: The aim of this study was to prospectively examine the association between body iron stores and risk of type 2 diabetes. METHODS: We designed a case-cohort study among 27,548 individuals within the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. During 7 years of follow-up, 849 incident cases of type 2 diabetes were identified. Of these, 607 remained for analyses after exclusion of participants with missing data or abnormal glucose levels at baseline. A sub-cohort of 2,500 individuals was randomly selected from the full cohort, comprising 1,969 individuals after applying the same exclusion criteria. RESULTS: After adjustment for age, sex, BMI, waist circumference, sports activity, bicycling, education, occupational activity, smoking habit, alcohol consumption and circulating levels of γ-glutamyltransferase, alanine aminotransferase, fetuin-A, high-sensitivity C-reactive protein, adiponectin, HDL-cholesterol and triacylglycerol, higher serum ferritin concentrations were associated with a higher risk of type 2 diabetes (RR in the highest vs lowest quintile, 1.73; 95% CI 1.15, 2.61; p(trend) = 0.002). No significant association was observed for soluble transferrin receptor (RR 1.33; 95% CI 0.85, 2.09; p(trend) = 0.50). The soluble transferrin receptor-to-ferritin ratio was significantly inversely related to risk (RR 0.61; 95% CI 0.41, 0.91; p(trend) = 0.02). CONCLUSIONS/INTERPRETATION: High ferritin levels are associated with higher risk of type 2 diabetes independently of established diabetes risk factors and a range of diabetes biomarkers whereas soluble transferrin receptor concentrations are not related to risk. These results support the hypothesis that higher iron stores below the level of haemochromatosis are associated with risk of type 2 diabetes.

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  1. [38]Fleiss J (1986) Reliability of measurement. In: The design and analysis of clinical experiments, 1st edn. Wiley, New York, pp 1–32

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Authors
Montonen, J., Boeing, H., Steffen, A., Lehmann, R., Fritsche, A., Joost, H.-G., Schulze, M. B., & Pischon, T.
Affiliations
  • German Institute of Human Nutrition (DE)
  • Universitätsklinikum Tübingen (DE)
  • University of Tübingen (DE)
  • Max Delbrück Center (DE)
Corresponding author
Steffen, A.
Venue
Diabetologia
Published
2012-07-01
Volume
55
Issue
10
Pages
2613-2621
ISSN
  • 0012-186X (ISSN-L)
  • 1432-0428
OpenAlex
W3028448231
Cited by
124
References
38
Citations by year
2026: 1 · 2025: 4 · 2024: 9 · 2023: 4 · 2022: 9 · 2021: 6 · 2020: 13 · 2019: 8 · 2018: 10 · 2017: 7 · 2016: 13 · 2015: 11 · 2014: 16 · 2013: 12 · 2012: 1
FWCI
8.53
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Diabetologia (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
  • Site cant be reached (submittedVersion)
Funders
Bundesministerium für Bildung und Forschung (0315381A)
Topics
  • Health Sciences › Medicine › Hematology › Iron Metabolism and Disorders
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Nursing › Nutrition and Dietetics › Trace Elements in Health
Keywords
type 2 diabetes, iron stores, serum ferritin, soluble transferrin receptor, hemochromatosis, iron metabolism, diabetes risk factors, EPIC-Potsdam cohort
MeSH terms
Adult, Aged, Diabetes Mellitus, Type 2, Europe, Female, Ferritins, Follow-Up Studies, Germany, Humans, Iron, Male, Middle Aged, Prospective Studies, Receptors, Transferrin, Risk Factors, Cohort Studies, Biomarkers

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