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Biophys. J. BioFAST: First Published September 29, 2006. doi:10.1529/biophysj.106.090175
© 2006 by the Biophysical Society.

A more recent version of this article appeared on December 15, 2006.
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SPECTROSCOPY, IMAGING, OTHER TECHNIQUES

EPR Oximetry as a Quantitative Method to Measure Cellular Respiration: A Consideration of Oxygen Diffusion Interference

Tennille Presley 1, Periannan Kuppusamy 1, Jay L Zweier 1 and Govindasamy Ilangovan 1*

1 The Ohio State University

* To whom correspondence should be addressed. E-mail: govindasamy.ilangovan{at}osumc.edu.

Submitted on May 30, 2006
Revised on July 27, 2006
Accepted on 8 September 2006


  Abstract
EPR oximetry is being widely used to measure the oxygen consumption of cells, mitochondria and submitochondrial particles. However, further improvement of this technique, in terms of data analysis, is required to use it as a quantitative tool. Here, we present a new approach for quantitative analysis of cellular respiration using EPR oximetry. The course of oxygen consumption by cells in suspension has been observed to have three distinct zones: pO2-independent respiration at higher pO2 ranges, pO2-dependent respiration at low pO2 ranges and a static equilibrium with no change in pO2 at very low pO2 values. The present approach enables one to comprehensively analyze all of the three zones together; where the progression of O2 diffusion zones around each cell, their overlap within time and their potential impact on the measured pO2 data are considered. The obtained results agree with previously established methods such as high-resolution respirometry measurements. Additionally, it is also demonstrated how the diffusion limitations can depend on cell density and consumption rate. In conclusion, the new approach establishes a more accurate and meaningful model to evaluate the EPR oximetry data on cellular respiration in order to quantify related parameters using EPR oximetry.

Key Words: Cellular Respiration, Diffusion Control, EPR oximetry, Pariculate oximetry probes




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Copyright © 2006 by the Biophysical Society.