Abstract
Introduction Inflammatory stimuli are causative for insulin resistance in obesity as well as in acute inflammatory reactions. Ongoing research has identified a variety of secreted proteins that are released from immune cells and adipocytes as mediators of insulin resistance; however, knowledge about their relevance for acute inflammatory insulin resistance remains limited. In this study we aimed for a clarification of the relevance of different insulin resistance mediating factors in an acute inflammatory situation. Methods Insulin resistance was measured in a cohort of 37 nondiabetic patients undergoing cardiac surgery by assessment of insulin requirement to maintain euglycaemia and repeated measurements of an insulin glycaemic index. The kinetics of cortisol, interleukin 6 (IL6), tumour necrosis factor alpha (TNF alpha), resistin, leptin and adiponectin were assessed by repeated measurements in a period of 48 h. Results Insulin resistance increased during the observation period and peaked 22 h after the beginning of the operation. IL6 and TNF alpha displayed an early increase with peak concentrations at the 4-h time point. Serum levels of cortisol, resistin and leptin increased more slowly and peaked at the 22-h time point, while adiponectin declined, reaching a base at the 22-h time point. Model assessment identified cortisol as the best predictor of insulin resistance, followed by IL6, leptin and adiponectin. No additional information was gained by modelling for TNF alpha, resistin, catecholamine infusion rate, sex, age, body mass index (BMI), operation time or medication. Conclusions Serum cortisol levels are the best predictor for inflammatory insulin resistance followed by IL6, leptin and adiponectin. TNF alpha, and resistin have minor relevance as predictors of stress dependent insulin resistance.
Dokumententyp: | Zeitschriftenartikel |
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Publikationsform: | Publisher's Version |
Fakultät: | Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-23678-9 |
ISSN: | 1466-609X |
Sprache: | Englisch |
Dokumenten ID: | 23678 |
Datum der Veröffentlichung auf Open Access LMU: | 06. Mrz. 2015, 11:18 |
Letzte Änderungen: | 04. Nov. 2020, 13:05 |