Article

Fasting and glucose induced thermogenesis in response to three ambient temperatures: a randomized crossover trial in the metabolic syndrome

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Abstract

Background/objectives

Cold exposure increases thermogenesis and could improve insulin sensitivity. We hypothesized a blunted response in the metabolic syndrome (MetS).

Subjects/methods

Twenty older adults 59 ± 10.4 years (with MetS, MetS+, n = 9; without MetS, MetS−, n = 11) completed a randomized crossover design of 3.5 h exposures to 20, 25 and 27 °C on three visits. After an hour’s rest at the desired temperature, resting metabolic rate (RMR), respiratory quotient (RQ), forearm to fingertip gradients (FFG), and in the ear temperature (IET) were measured over 30 min. An oral glucose tolerance test followed, and serial measurements were continued for 2 h. Venous blood was sampled for clinical chemistry, irisin, and fibroblast growth factor 21(FGF21). A mixed model ANCOVA adjusted data for age, gender, fat mass, fat-free mass and seasonality.

Results

There was a significant MetS×temperature interaction where adjusted RMR was significantly higher in MetS+ compared to MetS− by 12% at 20 °C and by 6% at 25 °C, but similar at 27 °C. FFG increased and IET decreased with decreasing temperature to the same extent in both groups. Fasting irisin and FGF21 did not vary with temperature but the former was significantly higher in MetS−. Adjusted postprandial RQ and insulin to glucose ratios were significantly higher at 20 °C relative to 25 °C. Partial correlation analysis of differences between 27 and 20 °C indicated significant positive relationships between fasting as well as postprandial RQ and the respective changes in irisin and FGF21.

Conclusions

There could be an upward shift of the TNZ in MetS+, but this needs reevaluation.

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Acknowledgements

M.J.S. acknowledges infrastructure support from the School of Public Health Curtin University. K.P. was the recipient of an Australian Postgraduate Award. We thank the reviewers for their insightful comments and attention to detail, which have helped shape this manuscript.

Author information

Affiliations

  1. Food, Nutrition & Health, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia

    • K. Pathak
    • , A. P. James
    •  & M. J. Soares
  2. Flinders Centre for Epidemiology and Biostatistics, Health Science Building, Flinders University of South Australia, GPO Box 2100, Adelaide, SA, 5001, Australia

    • R. J. Woodman

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Conflict of interest

The authors declare that they have no competing interests.

Corresponding author

Correspondence to M. J. Soares.

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