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Reversible and irreversible mitochondrial swelling: Effects of variable mitochondrial activity.

Authors
  • Khmelinskii, Igor1
  • Makarov, Vladimir2
  • 1 Universidade do Algarve, FCT, DQB and CEOT, 8005-139, Faro, Portugal. , (Portugal)
  • 2 University of Puerto Rico, Rio Piedras Campus, PO Box 23343, San Juan, PR, 00931-3343, USA. Electronic address: [email protected] , (Puerto Rico)
Type
Published Article
Journal
Bio Systems
Publication Date
Oct 07, 2021
Volume
210
Pages
104559–104559
Identifiers
DOI: 10.1016/j.biosystems.2021.104559
PMID: 34627969
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

An extended biophysical model was obtained by upgrading the previously reported one (Khmelinskii and Makarov, 2021). The upgraded model accommodates variations of solute transport rates through the inner mitochondrial membrane (IMM) within the mitochondrial population, described by a Gaussian distribution. However, the model may be used for any functional form of the distribution. The dynamics of system parameters as predicted by the current model differed from that predicted by the previous model in the same initial conditions (Khmelinskii and Makarov, 2021). The amount of change varied from one parameter to the other, remaining in the 1-38% range. The upgraded model fitted the available experimental data with a better accuracy (R = 0.993) compared to the previous model (R = 0.978) using the same experimental data (Khmelinskii and Makarov, 2021). The fitting procedure also estimated the Gaussian distribution parameters. The new model requires much larger computational resources, but given its higher accuracy, it may be used for better analysis of experimental data and for better prediction of MS dynamics in different initial conditions. Note that activities of individual mitochondria in mitochondrial populations should vary within biological tissues. Thus, the currently upgraded model is a better tool for biological and bio-medical applications. We believe that this model is much better adapted to the analysis of MS dynamics in vivo. Published by Elsevier B.V.

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