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Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion
To investigate the impact of experimental interventions on living biological tissue, ex vivo rodent brain slices are often used as a more controllable alternative to a live animal model. However, for meaningful results, the biological sample must be known to be healthy and viable. One of the gold-st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095053/ https://www.ncbi.nlm.nih.gov/pubmed/37047423 http://dx.doi.org/10.3390/ijms24076450 |
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author | Steyn-Ross, D. Alistair Steyn-Ross, Moira L. Sleigh, Jamie W. Voss, Logan J. |
author_facet | Steyn-Ross, D. Alistair Steyn-Ross, Moira L. Sleigh, Jamie W. Voss, Logan J. |
author_sort | Steyn-Ross, D. Alistair |
collection | PubMed |
description | To investigate the impact of experimental interventions on living biological tissue, ex vivo rodent brain slices are often used as a more controllable alternative to a live animal model. However, for meaningful results, the biological sample must be known to be healthy and viable. One of the gold-standard approaches to identifying tissue viability status is to measure the rate of tissue oxygen consumption under specific controlled conditions. Here, we work with thin (400 [Formula: see text] m) slices of mouse cortical brain tissue which are sustained by a steady flow of oxygenated artificial cerebralspinal fluid (aCSF) at room temperature. To quantify tissue oxygen consumption (Q), we measure oxygen partial pressure (pO [Formula: see text]) as a function of probe depth. The curvature of the obtained parabolic (or parabola-like) pO [Formula: see text] profiles can be used to extract Q, providing one knows the Krogh coefficient [Formula: see text] , for the tissue. The oxygen trends are well described by a Fick’s law diffusion–consumption model developed by Ivanova and Simeonov, and expressed in terms of ratio [Formula: see text] , being the rate of oxygen consumption in tissue divided by the Krogh coefficient (oxygen diffusivity × oxygen solubility) for tissue. If the fluid immediately adjacent to the tissue can be assumed to be stationary (i.e., nonflowing), one may invoke conservation of oxygen flux [Formula: see text] across the interface to deduce [Formula: see text] , the ratio of Krogh coefficients for tissue and fluid. Using published interpolation formulas for the effect of salt content and temperature on oxygen diffusivity and solubility for pure water, we estimate [Formula: see text] , the Krogh coefficient for aCSF, and hence deduce the [Formula: see text] coefficient for tissue. We distinguish experimental uncertainty from natural biological variability by using pairs of repeated profiles at the same tissue location. We report a dimensionless Krogh ratio [Formula: see text] (mean ± SD), corresponding to a Krogh coefficient [Formula: see text] mol/(m·s·Pa) for mouse cortical tissue at room temperature, but acknowledge the experimental limitation of being unable to verify that the fluid boundary layer is truly stationary. We compare our results with those reported in the literature, and comment on the challenges and ambiguities caused by the extensive use of ‘biologically convenient’ non-SI units for tissue Krogh coefficient. |
format | Online Article Text |
id | pubmed-10095053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100950532023-04-13 Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion Steyn-Ross, D. Alistair Steyn-Ross, Moira L. Sleigh, Jamie W. Voss, Logan J. Int J Mol Sci Article To investigate the impact of experimental interventions on living biological tissue, ex vivo rodent brain slices are often used as a more controllable alternative to a live animal model. However, for meaningful results, the biological sample must be known to be healthy and viable. One of the gold-standard approaches to identifying tissue viability status is to measure the rate of tissue oxygen consumption under specific controlled conditions. Here, we work with thin (400 [Formula: see text] m) slices of mouse cortical brain tissue which are sustained by a steady flow of oxygenated artificial cerebralspinal fluid (aCSF) at room temperature. To quantify tissue oxygen consumption (Q), we measure oxygen partial pressure (pO [Formula: see text]) as a function of probe depth. The curvature of the obtained parabolic (or parabola-like) pO [Formula: see text] profiles can be used to extract Q, providing one knows the Krogh coefficient [Formula: see text] , for the tissue. The oxygen trends are well described by a Fick’s law diffusion–consumption model developed by Ivanova and Simeonov, and expressed in terms of ratio [Formula: see text] , being the rate of oxygen consumption in tissue divided by the Krogh coefficient (oxygen diffusivity × oxygen solubility) for tissue. If the fluid immediately adjacent to the tissue can be assumed to be stationary (i.e., nonflowing), one may invoke conservation of oxygen flux [Formula: see text] across the interface to deduce [Formula: see text] , the ratio of Krogh coefficients for tissue and fluid. Using published interpolation formulas for the effect of salt content and temperature on oxygen diffusivity and solubility for pure water, we estimate [Formula: see text] , the Krogh coefficient for aCSF, and hence deduce the [Formula: see text] coefficient for tissue. We distinguish experimental uncertainty from natural biological variability by using pairs of repeated profiles at the same tissue location. We report a dimensionless Krogh ratio [Formula: see text] (mean ± SD), corresponding to a Krogh coefficient [Formula: see text] mol/(m·s·Pa) for mouse cortical tissue at room temperature, but acknowledge the experimental limitation of being unable to verify that the fluid boundary layer is truly stationary. We compare our results with those reported in the literature, and comment on the challenges and ambiguities caused by the extensive use of ‘biologically convenient’ non-SI units for tissue Krogh coefficient. MDPI 2023-03-29 /pmc/articles/PMC10095053/ /pubmed/37047423 http://dx.doi.org/10.3390/ijms24076450 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Steyn-Ross, D. Alistair Steyn-Ross, Moira L. Sleigh, Jamie W. Voss, Logan J. Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion |
title | Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion |
title_full | Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion |
title_fullStr | Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion |
title_full_unstemmed | Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion |
title_short | Determination of Krogh Coefficient for Oxygen Consumption Measurement from Thin Slices of Rodent Cortical Tissue Using a Fick’s Law Model of Diffusion |
title_sort | determination of krogh coefficient for oxygen consumption measurement from thin slices of rodent cortical tissue using a fick’s law model of diffusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095053/ https://www.ncbi.nlm.nih.gov/pubmed/37047423 http://dx.doi.org/10.3390/ijms24076450 |
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