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Cost-efficient method and device for the study of stationary tissular gas bubble formation in the mechanisms of decompression sickness.

Authors :
Blatteau JE
David HN
Vallée N
Meckler C
Demaistre S
Risso JJ
Abraini JH
Source :
Journal of neuroscience methods [J Neurosci Methods] 2014 Oct 30; Vol. 236, pp. 40-3. Date of Electronic Publication: 2014 Jul 23.
Publication Year :
2014

Abstract

Background: Current in vivo methods cannot distinguish between the roles of vascular and stationary tissular gas bubbles in the mechanisms of decompression sickness (DCS).<br />New Method: To answer this question, we designed a normobaric-hyperbaric chamber for studying specifically the contribution of stationary tissular gas bubbles in the mechanisms of DCS in individually-superfused tissue samples. For validating our method, we investigated in rat brain slices exposed to 0.4MPa air absolute pressure whether fast decompression rate - the most important cause of cerebral DCS - may induce an increase of lactate dehydrogenase (LDH), a marker of cell injury, compared to slow decompression rate.<br />Results: We provide a technical description of our pressure chamber and show that fast decompression rate of 0.3MPamin(-1) induced a rapid and sustained increase of LDH release compared to slow compression rate of 0.01MPamin(-1) (P<0.0001).<br />Comparison With Existing Methods: There is no current method for studying stationary tissular gas bubbles.<br />Conclusions: This report describes the first method for studying specifically in tissue samples the role of stationary tissular gas bubbles in the mechanisms of DCS. Advantageously, according to this method (i) biological markers other than LDH could be easily studied; (ii) tissue samples could be taken not only from the brain but also from any part of the animal's body known of interest in DCS research, allowing performing tissue compartment research, a major question in the physics and theory of decompression research; and (iii) histological studies could be performed from the tissue samples.<br /> (Copyright © 2014 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-678X
Volume :
236
Database :
MEDLINE
Journal :
Journal of neuroscience methods
Publication Type :
Academic Journal
Accession number :
25064190
Full Text :
https://doi.org/10.1016/j.jneumeth.2014.07.010