Metrics of diabetes risk are only minimally improved by exercise training in postmenopausal breast cancer survivors
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Mar 17, 2020 version files 229.02 KB
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Supplementary_Figure_1.pdf
Abstract
Context
Insulin resistance is a risk factor for breast cancer recurrence. How exercise training changes fasting and post-glucose insulin resistance in breast cancer survivors is unknown.
Objective
To evaluate exercise-induced changes in post-glucose ingestion insulin concentrations, insulin resistance, and their associations with cancer-relevant biomarkers in breast cancer survivors.
Setting
The University of Massachusetts Kinesiology Department.
Participants
Fifteen postmenopausal breast cancer survivors not meeting the physical activity guidelines (150 minutes/week of exercise).
Intervention
a supervised 12-week aerobic exercise program (60 min/day, 3-4 days/week).
Main outcome measures
Post-glucose ingestion insulin was determined by peak insulin and area under the insulin curve (iAUC) during a five-sample oral glucose tolerance test. Insulin sensitivity was estimated from the Matsuda composite insulin sensitivity index (C-ISI). Changes in fitness and body composition were determined from submaximal VO2peak and dual energy X-ray absorptiometry (DEXA).
Results
Participants averaged 156.8±16.6 minutes/week of supervised exercise. Estimated VO2peak significantly increased (+2.8±1.4 ml/kg/min, p<0.05) and body weight significantly decreased (-1.1±0.8 kg, p<0.05) following the intervention. There were no differences in fasting insulin, iAUC, C-ISI or peak insulin following the intervention. Insulin was only significantly lower 120 minutes following glucose consumption (68.8 ± 34.5 vs. 56.2 ± 31.9 uU/ml, p<0.05), and there was a significant interaction with past/present aromatase inhibitor (AI) use for peak insulin (-11.99 (non-AI) vs +13.91 (AI) uU/mL) and iAUC (-24.03 (non-AI) vs +32.73 (AI) uU/mL).
Conclusions
Exercise training had limited overall benefits on insulin concentrations following glucose ingestion in breast cancer survivors but was strongly influenced by AI use.
Methods
The data represents plasma c-peptide and glucose concentrations collected during an oral glucose tolerance test.