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https://doi.org/10.33549/physiolres.934190
Title: | Brown fat activity determined by infrared thermography and thermogenesis measurement using whole body calorimetry (bright study) | Authors: | Tay S.H. Goh H.J. Govindharajulu P. Cheng J. Camps S.G.J.A. Haldar S. Velan S.S. Sun L. Li Y. Henry C.J. Leow M.K.-S. |
Keywords: | Automation Brown adipose tissue Calorimetry Infrared thermography Thermogenesis |
Issue Date: | 2020 | Publisher: | Czech Academy of Sciences | Citation: | Tay S.H., Goh H.J., Govindharajulu P., Cheng J., Camps S.G.J.A., Haldar S., Velan S.S., Sun L., Li Y., Henry C.J., Leow M.K.-S. (2020). Brown fat activity determined by infrared thermography and thermogenesis measurement using whole body calorimetry (bright study). Physiological Research 69 (1) : 85 - 97. ScholarBank@NUS Repository. https://doi.org/10.33549/physiolres.934190 | Abstract: | To assess BAT activity in humans at a population level, infrared thermography (IRT) represents a safe, readily repeatable and affordable alternative to 18F-FDG-PET. Building upon a previously proposed method by our laboratory, we further refined the image computational algorithm to quantify BAT activation in the cervical-supraclavicular (C-SCV) region of healthy young men under thermo-neutral and cold exposure conditions. Additionally, we validated the whole-body calorimeter (WBC) in reliably measuring cold-induced thermogenesis. The temperature gradient between C-SCV-deltoid regions, and the corresponding difference in heat power output, increased upon cold air exposure relative to thermo-neutral conditions (by 74.88 %, p<0.0001; and by 71.34 %, p<0.0001 respectively). Resting and cumulative energy expenditure (EE) rose significantly (by 13.14 % and 9.12 % respectively, p=0.0001) while positive correlations between IRT measures and EE were found with cold air exposure (percentage change in heat power gradient between ROI and deltoid, cold air: r2=0.29, p=0.026, Pearson's correlation). IRT and WBC can be used to study BAT activation. The refined algorithm allows for more automation and objectivity in IRT data analysis, especially under cold air exposures. � 2020 Institute of Physiology of the Czech Academy of Sciences, Prague. | Source Title: | Physiological Research | URI: | https://scholarbank.nus.edu.sg/handle/10635/177348 | ISSN: | 08628408 | DOI: | 10.33549/physiolres.934190 |
Appears in Collections: | Staff Publications |
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