High throughput modular chambers for rapid evaluation of anesthetic sensitivity.
BACKGROUND
Anesthetic sensitivity is determined by the interaction of multiple genes. Hence, a dissection of genetic contributors would be aided by precise and high throughput behavioral screens. Traditionally, anesthetic phenotyping has addressed only induction of anesthesia, evaluated with dose-response curves, while ignoring potentially important data on emergence from anesthesia.


METHODS
We designed and built a controlled environment apparatus to permit rapid phenotyping of twenty-four mice simultaneously. We used the loss of righting reflex to indicate anesthetic-induced unconsciousness. After fitting the data to a sigmoidal dose-response curve with variable slope, we calculated the MAC(LORR) (EC50), the Hill coefficient, and the 95% confidence intervals bracketing these values. Upon termination of the anesthetic, Emergence timeRR was determined and expressed as the mean +/- standard error for each inhaled anesthetic.


RESULTS
In agreement with several previously published reports we find that the MAC(LORR) of halothane, isoflurane, and sevoflurane in 8-12 week old C57BL/6J mice is 0.79% (95% confidence interval = 0.78-0.79%), 0.91% (95% confidence interval = 0.90-0.93%), and 1.96% (95% confidence interval = 1.94-1.97%), respectively. Hill coefficients for halothane, isoflurane, and sevoflurane are 24.7 (95% confidence interval = 19.8-29.7%), 19.2 (95% confidence interval = 14.0-24.3%), and 33.1 (95% confidence interval = 27.3-38.8%), respectively. After roughly 2.5 MAC(LORR) x hr exposures, mice take 16.00 +/- 1.07, 6.19 +/- 0.32, and 2.15 +/- 0.12 minutes to emerge from halothane, isoflurane, and sevoflurane, respectively.


CONCLUSIONS
This system enabled assessment of inhaled anesthetic responsiveness with a higher precision than that previously reported. It is broadly adaptable for delivering an inhaled therapeutic (or toxin) to a population while monitoring its vital signs, motor reflexes, and providing precise control over environmental conditions. This system is also amenable to full automation. Data presented in this manuscript prove the utility of the controlled environment chambers and should allow for subsequent phenotyping of mice with targeted mutations that are expected to alter sensitivity to induction or emergence from anesthesia.
Sun
Yi
Y
Department of Anesthesiology and Critical Care, University of Pennsylvania School of Medicine, Philadelphia, USA. yi.sun@uphs.upenn.edu
Chen
Jingqiu
J
Pruckmayr
Gregory
G
Baumgardner
James E
JE
Eckmann
David M
DM
Eckenhoff
Roderic G
RG
Kelz
Max B
MB