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Excessive positive energy balance is a major factor leading to obesity. The ability to alter the appetite-regulating hormones leptin, adiponectin, and ghrelin may help decrease excessive energy intake. Exercise and exposure to extreme temperatures can independently affect these appetiteregulating hormones. PURPOSE: To determine the effect of exercising in different environmental conditions on the circulating concentrations of leptin, adiponectin, and ghrelin. METHODS: Eleven recreationally-trained male participants completed 3 separate 1 h cycling bouts at 60% W max in hot, cold, and room temperature conditions (33 C, 7 C, 20 C), followed by a 3 h recovery at room temperature. Blood was drawn pre-exercise, post-exercise, and 3 h post-exercise. Hematocrit and hemoglobin were measured to account for change in plasma volume. RESULTS: Leptin concentrations were lower at post and 3 h post-exercise compared with pre-exercise, with and without correction for plasma volume shifts, regardless of temperature (p < 0.05). Adiponectin was higher post-exercise compared with pre-exercise (p D 0.021) but not 3 h post-exercise (p D 0.084) without correction for plasma volume shifts. However, adiponectin concentrations were not different at any time point when plasma volume shifts were accounted for (p > 0.05). Total ghrelin and acylated ghrelin concentrations were not affected at post and 3 h post-exercise compared with pre-exercise, with and without correcting for plasma volume shifts, regardless of ambient temperature (p > 0.05). No differences in leptin, adiponectin, or ghrelin were found between trials (p > 0.05). CONCLUSION: Temperature does not affect the circulating concentrations of appetiteregulating hormones during an acute bout of endurance exercise.

Many human diseases lead to a loss of skeletal muscle metabolic function and mass. Local and environmental temperature can modulate the exercise-stimulated response of several genes involved in mitochondrial biogenesis and skeletal muscle function in a human model. However, the impact of environmental temperature, independent of exercise, has not been addressed in a human model. Thus, the purpose of this study was to compare the effects of exposure to hot, cold, and room temperature conditions on skeletal muscle gene expression related to mitochondrial biogenesis and muscle mass. METHODS Recreationally trained male subjects (n=12) had muscle biopsies taken from the vastus lateralis before and after 3 h exposure to hot (33 °C), cold (7 °C), or room temperature (20 °C) conditions. RESULTS Temperature had no effect on most of the genes related to mitochondrial biogenesis, myogenesis, or proteolysis (p > 0.05). Core temperature was significantly higher in hot and cold environments compared to room temperature (37.2 ± 0.1 °C, p = 0.001; 37.1 ± 0.1 °C, p = 0.013; 36.9 ± 0.1 °C, respectively). Whole body oxygen consumption was also significantly higher in hot and cold compared to room temperature (0.38 ± 0.01 L·min−1, p < 0.001; 0.52 ± 0.03 L·min−1, p < 0.001; 0.35 ± 0.01 L·min−1, respectively). CONCLUSIONS These data show that acute temperature exposure alone does not elicit significant changes in skeletal muscle gene expression. When considered in conjunction with previous research, exercise appears to be a necessary component to observe gene expression alterations between different environmental temperatures in humans.

Peroxisome proliferator-activated receptor-α coactivator-1α (PGC-1α) mRNA is increased with both exercise and exposure to cold temperature. However, transcriptional control has yet to be examined during exercise in the cold. Additionally, the need for environmental cold exposure after exercise may not be a practical recovery modality. The purpose of this study was to determine mitochondrial-related gene expression and transcriptional control of PGC-1α following exercise in a cold compared with room temperature environment. Eleven recreationally trained males completed two 1-h cycling bouts in a cold (7°C) or room temperature (20°C) environment, followed by 3 h of supine recovery in standard room conditions. Muscle biopsies were taken from the vastus lateralis preexercise, postexercise, and after a 3-h recovery. Gene expression and transcription factor binding to the PGC-1α promoter were analyzed. PGC-1α mRNA increased from preexercise to 3 h of recovery, but there was no difference between trials. Estrogen-related receptor-α (ERRα), myocyte enhancer factor-2 (MEF2A), and nuclear respiratory factor-1 (NRF-1) mRNA were lower in cold than at room temperature. Forkhead box class-O (FOXO1) and cAMP response element-binding protein (CREB) binding to the PGC-1α promoter were increased postexercise and at 3 h of recovery. MEF2A binding increased postexercise, and activating transcription factor 2 (ATF2) binding increased at 3 h of recovery. These data indicate no difference in PGC-1α mRNA or transcriptional control after exercise in cold versus room temperature and 3 h of recovery. However, the observed reductions in the mRNA of select transcription factors downstream of PGC-1α indicate a potential influence of exercise in the cold on the transcriptional response related to mitochondrial biogenesis.

These results suggest an impaired muscle growth response with local cold application compared to local heat application.

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The purpose of the present study was to examine the effects of an acute dose of an arginine-based supplement on the physical working capacity at the fatigue threshold (PWCFT), lactate threshold (LT), ventilatory threshold (VT), and peak oxygen uptake during incremental cycle ergometry. This study used a double-blinded, placebo-controlled, within-subjects crossover design. Nineteen untrained men (mean age ± SD = 22.0 ± 1.7 years) were randomly assigned to ingest either the supplement (3.0 g of arginine, 300 mg of grape seed extract, and 300 mg of polyethylene glycol) or placebo (microcrystalline cellulose) and performed an incremental test on a cycle ergometer for determination of PWCFT, LT, VT, and peak oxygen uptake. Following a 1-week period, the subjects returned to the laboratory and ingested the opposite substance (either supplement or placebo) prior to completing another incremental test to be reassessed for PWCFT, LT, VT, and peak oxygen uptake. The paired-samples t tests indicated there were significant (P < 0.05) mean differences between the arginine and placebo conditions for the PWCFT (192 ± 42 vs. 168 ± 53 W, respectively) and VT (2546 ± 313 vs. 2452 ± 342 mL·min(-1)), but not the LT (135 ± 26 vs. 138 ± 22 W), absolute peak oxygen uptake (3663 ± 445 vs. 3645 ± 438 mL·min(-1)), or relative peak oxygen uptake (46.5 ± 6.0 vs. 46.2 ± 5.0 mL·kg(-1)·min(-1)). These findings suggested that the arginine-based supplement may be used on an acute basis for delaying the onset of neuromuscular fatigue (i.e., PWCFT) and improving the VT in untrained individuals.

Power meters are a training tool used to help cyclists improve performance by objectively monitoring intensity.  Some power meters are well established and validated, whereas others are relatively new.  Most power meters have been tested for validity and reliability in laboratory and field settings of similar conditions; however, the reproducibility of these power meters across different temperatures has not been established. To examine the potential differences of the CompuTrainer, PowerTap, Stages, and Vector power meters in hot and cold compared to a room temperature environment. Recreationally trained male (n=7) and female (n=3) participants each completed three incremental cycling trials in hot (33°C), cold (7°C), or room temperature (RT, 20°C) conditions.  The power meters were placed on a standard road bicycle and power output was logged and recorded. The CompuTrainer was higher in the room temperature trial compared to the cold and the hot, but not between the hot and cold trial.  The PowerTap was not different in RT and cold, but was lower in hot compared to RT and compared to cold.  The Stages was not different between RT and cold, but was lower in the hot compared to RT and compared to cold.  The Vector was not different between RT and cold but was lower in the hot compared to RT and compared to cold.  These data indicate that environmental temperature may affect the reproducibility of power meters.  It is important to recognize the potential differences between temperatures when choosing a power meter.