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Research Paper

The effect of passive heating on heat shock protein 70 and interleukin-6: A possible treatment tool for metabolic diseases?

ORCID Icon, , & ORCID Icon
Pages 292-304 | Received 16 Dec 2016, Accepted 25 Jan 2017, Published online: 09 Mar 2017
 

ABSTRACT

Increasing physical activity remains the most widely publicized way of improving health and wellbeing. However, in populations that benefit most from exercise (EX), adherence is often poor and alternatives to EX are important to bring about health improvements. Recent work suggests a role for passive heating (PH) and heat shock proteins (HSP) in improving cardio-metabolic health. The aim of this study was to investigate the expression of HSP70 and interleukin-6 in response to either EX or PH and the subsequent effect on glucose control. Fourteen males volunteered and were categorized lean (BMI 23.5 ± 2.2 kg·m−2) or overweight (29.2 ± 2.7 kg·m−2) and completed 60 minutes of either moderate cycling at a fixed rate of metabolic heat production (EX) or warm water immersion in 40°C water (PH). Extracellular HSP70 increased from baseline in both conditions with no differences between PH (0.98 ± 1.1 ng·mL−1) or EX (0.84 ± 1.0 ng·mL−1, p = 0.814). IL-6 increased following both conditions with a two-fold increase after PH and four-fold after EX. Energy expenditure increased by 61.0 ± 14.4 kcal·h−1 (79%) after PH. Peak glucose concentration after a meal immediately following PH was reduced when compared with EX (6.3 ± 1.4 mmol·L−1 versus 6.8 ± 1.2 mmol·L−1; p < 0.05). There was no difference in 24-hour glucose area under the curve (AUC) between conditions. These data indicate the potential for thermal therapy as an alternative treatment and management strategy for those at risk of developing metabolic disease where adherence, or ability to EX, may be compromised.

Abbreviations

AMPK=

5′ adenosine monophosphate-activated protein kinase

AUC=

Area under the curve

BMI=

Body mass index

BP=

blood pressure

BSA=

body surface area

CGM=

Continuous glucose monitor

CI=

confidence interval

CV=

coefficient of variation

eHSP=

extracellular heat shock protein

ELISA=

enzyme-linked immunosorbent sandwich assay

ES=

effect size

EX=

Exercise trial

HDL-C=

High-density lipoprotein cholesterol

H˙prod=

Metabolic heat production

HSP=

Heat shock protein

iHSP=

Intracellular heat shock protein

IL-1ra=

Interleukin 1 receptor antagonist

IL-6=

Interleukin 6

IL-10=

Interleukin 10

JNK=

c-Jun N-terminal kinase

LDL-C=

Low density lipoprotein cholesterol

LEAN=

Lean participant group

OW=

Overweight participant group

PH=

Passive heating trial

SD=

Standard deviation

SEM=

Standard error of mean

T2DM=

Type 2 diabetes mellitus

Tb=

body temperature

Tc=

core temperature

Tm=

muscle temperature

Tsk=

skin temperature

TG=

Triglyceride

V˙CO2=

carbon dioxide production

V˙O2=

oxygen uptake

V˙O2max=

Maximum volume of oxygen uptake

ΔT=

change in temperature

Disclosure of potential conflicts of interest

No potential conflicts of interest were disclosed.

Acknowledgments

The authors would like to thank; Prof George Havenith for granting access to the Environmental Ergonomics Research Centre and Dr Caroline Smith for her insightful discussion and comments during the preparation of the manuscript.

Funding

The research was also partly supported by the National Institute for Health Research (NIHR) Diet, Lifestyle & Physical Activity Biomedical Research Unit based at University Hospitals of Leicester and Loughborough University. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

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