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Wanger, L.* ; Gar, C. ; Rippl, M.* ; Kern-Matschilles, S. ; Potzel, A. ; Haschka, S.J. ; Seissler, J. ; Hesse, N.* ; Lechner, A.

Function outperforms morphology in the assessment of muscular contribution to insulin sensitivity in premenopausal women.

Diab. Vasc. Dis. Res. 19:14791641211070281 (2022)
Publ. Version/Full Text Research data DOI PMC
Creative Commons Lizenzvertrag
Open Access Green as soon as Postprint is submitted to ZB.
INTRODUCTION: Skeletal muscle contributes significantly to insulin sensitivity in humans. However, which non-invasive measurement best reflects this contribution remains unknown. Consequently, this paper compares morphologic and functional measurements. RESEARCH METHODS AND DESIGN: We conducted a cross-sectional analysis of 144 premenopausal women enrolled in the "Prediction, Prevention, and Sub-classification of Type 2 Diabetes" (PPSDiab) cohort study. For the analysis, we quantified insulin sensitivity by oral glucose tolerance testing and, in a subgroup of 30 women, euglycemic clamp. To assess skeletal muscle, we measured volume by magnetic resonance imaging, intramyocellular lipid content by magnetic resonance spectroscopy, and physical fitness by cardiopulmonary exercise testing. RESULTS: The mean age of the cohort was 35.7 ± 4.1 years and 94 participants (65%) had a history of gestational diabetes mellitus. Of the morphologic and functional muscle parameters, the maximum workload achieved during cardiopulmonary exercise testing associated most closely with insulin sensitivity (standardized beta = 0.39; p < .001). Peak oxygen uptake also demonstrated significant associations, whereas muscle volume and intramyocellular lipid content displayed none. CONCLUSION: Functional measurements provided a better assessment of the muscular contribution to insulin sensitivity than morphologic measurements in premenopausal women. In particular, exercise testing rendered an easy and cost-effective method applicable in clinical settings and other human studies.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Exercise Testing ; Insulin Resistance ; Magnetic Resonance Imaging ; Muscle Volume ; Type 2 Diabetes
ISSN (print) / ISBN 1479-1641
e-ISSN 1752-8984
Journal Diabetes & vascular disease research
Quellenangaben Volume: 19, Issue: 1, Pages: , Article Number: 14791641211070281 Supplement: ,
Publisher Sage
Publishing Place Edgbaston, Birmingham
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) CCG Biomarker for the subclassification of T2DM (KKG-KDB)
Grants German Center for Diabetes Research
Helmholtz Zentrum Munchen
LMU Klinikum