Publication

Twenty-five-year trajectories of insulin resistance and pancreatic beta-cell response and diabetes risk in nonalcoholic fatty liver disease

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Last modified
  • 05/14/2025
Type of Material
Authors
    Lisa B. VanWagner, Northwestern UniversityHongyan Ning, Northwestern UniversityNorrina B. Allen, Northwestern UniversityJuned Siddique, Northwestern UniversityApril P. Carson, University of Alabama BirminghamMichael P. Bancks, Northwestern UniversityCora E. Lewis, University of Alabama BirminghamJ. Jeffrey Carr, Vanderbilt UniversityElizabeth Speliotes, University of MichiganNorah A. Terrault, University of California San FranciscoMary E. Rinella, Northwestern UniversityMiriam Benedicta Vos, Emory UniversityDonald M. Lloyd-Jones, Northwestern University
Language
  • English
Date
  • 2018-11-01
Publisher
  • Wiley: 12 months
Publication Version
Copyright Statement
  • © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1478-3223
Volume
  • 38
Issue
  • 11
Start Page
  • 2069
End Page
  • 2081
Grant/Funding Information
  • The CARDIA Study is supported by contracts HHSN268201300025C, HHSN268201300026C, HHSN268201300027C, HHSN268201300028C, HHSN268201300029C, HHSN268200900041C and AG0005 from the National Institutes of Health (NIH).
  • Drs. VanWagner (KL2TR001424), Bancks (T32HL069771) and Carr (R01HL098445) are supported by the NIH.
Supplemental Material (URL)
Abstract
  • Background & Aims: Insulin resistance is a risk marker for non-alcoholic fatty liver disease, and a risk factor for liver disease progression. We assessed temporal trajectories of insulin resistance and β-cell response to serum glucose concentration throughout adulthood and their association with diabetes risk in non-alcoholic fatty liver disease. Methods: Three thousand and sixty participants from Coronary Artery Risk Development in Young Adults, a prospective bi-racial cohort of adults age 18-30 years at baseline (1985-1986; Y0) who completed up to 5 exams over 25 years and had fasting insulin and glucose measurement were included. At Y25 (2010-2011), non-alcoholic fatty liver disease was assessed by noncontrast computed tomography after exclusion of other liver fat causes. Latent mixture modelling identified 25-year trajectories in homeostatic model assessment insulin resistance and β-cell response homeostatic model assessment-β. Results: Three distinct trajectories were identified, separately, for homeostatic model assessment insulin resistance (low-stable [47%]; moderate-increasing [42%]; and high-increasing [12%]) and homeostatic model assessment-β (low-decreasing [16%]; moderate-decreasing [63%]; and high-decreasing [21%]). Y25 non-alcoholic fatty liver disease prevalence was 24.5%. Among non-alcoholic fatty liver disease, high-increasing homeostatic model assessment insulin resistance (referent: low-stable) was associated with greater prevalent (OR 95% CI = 8.0, 2.0-31.9) and incident (OR = 10.5, 2.6-32.8) diabetes after multivariable adjustment including Y0 or Y25 homeostatic model assessment insulin resistance. In contrast, non-alcoholic fatty liver disease participants with low-decreasing homeostatic model assessment-β (referent: high-decreasing) had the highest odds of prevalent (OR = 14.1, 3.9-50.9) and incident (OR = 10.3, 2.7-39.3) diabetes. Conclusion: Trajectories of insulin resistance and β-cell response during young and middle adulthood are robustly associated with diabetes risk in non-alcoholic fatty liver disease. Thus, how persons with non-alcoholic fatty liver disease develop resistance to insulin provides important information about risk of diabetes in midlife above and beyond degree of insulin resistance at the time of non-alcoholic fatty liver disease assessment.
Author Notes
  • Correspondence: Lisa B. VanWagner MD MSc, Northwestern University, Division of Gastroenterology & Hepatology and Department of Preventive Medicine, 676 N St. Clair St, Suite 1400, Chicago, IL 60611, lvw@northwestern.edu, Office: 312-695-1632, Fax: 312.695.3999
Keywords
Research Categories
  • Health Sciences, Public Health

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