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.