Figure legends
Fig.1. The effect of PITS-composition (n = 7) and xylazine (n = 5) onTb of rats at the ambient temperature of 22˚C to 23˚C. In the experiment, no additional means were used to accelerate the animal cooling or heating. Mean ±SD is presented. Drugs were injected at zero time, as indicated by arrow (Inj).
Fig.2. Changes in body temperature and heat production in rats after injection of PITS-composition. The injection was performed at zero time, as indicated by arrow (Inj). Metabolic rate (I ) was determined as described in the section of Materials and Methods. The body mass (M ) is taken with exponent 3/4 in accordance with Kleiber’s law and requirements of WBE-theory (see Eq. 1).
Fig.3. Determination of E in electron volts (eV) for different animals. A – Relationship between mass-corrected heat production, ln(IM 3/4), measured in watts/g3/4, and temperature, 1/kT , measured in K. The overall slopes estimate the activation energy E in electron volts in rats (n=6) after injection of PITS-composition (Rats-PITS) and after injection of the anesthetic xylazine (Rats-Xyla) obtained from our measurements, and also in daily heterotherms (n=31) and true hibernators (n=123) obtained elsewhere . B – E for the specified groups of animals represent the slopes of straight lines on the panel A. For pair: Rats-PITS and Heterotherms, E was not statistically different. There is a significant statistical difference in E for both Rats (Xyla) and Hibernators compared to those for pair Rats-PITS and Heterotherms, p < 0.0001. Note: r2 – coefficient of determination.
Fig.4. The dependence of E on a numerical time shift of the heat production curve. Rats were anesthetized with xylazine. A – A shift of the heat production curve by 1 hour is shown; 1 hour corresponds to 2 intervals between measurements: Shift +2. B – Example of implementation of numerical shifts of heat production values by the specified number of intervals between measurements. C – The effect of the shifts onE , which corresponds to changes in the slopes of the regression lines. D – Dependence of E on the number of intervals of the numerical shift (Shift).
Fig.5. Rats in pharmacological torpor after injection of PITS-composition. A – An example of the dependence of heat production on the reverse temperature. Compare it with the graph presented in Fig.4C. B – The dependence of E on the Shift (Compare it with the graph presented in Fig. 4D). The data were obtained from the experiments (n = 5) similar to that presented in Fig.2. Note: r2 – coefficient of determination.