Mathematical Modeling of Liver Metabolic Activity Under Ex Vivo Conditions upon Exposure to Magnetic Nanoparticles

Описание

Тип публикации: статья из журнала

Год издания: 2026

Идентификатор DOI: 10.3390/biomedicines14091877

Ключевые слова: ex vivo perfusion, liver, flow model, optimal power law, nanoparticles, magnetite

Аннотация: <jats:p>Background: In liver transplantation, maintaining donor organ viability is a critical factor determining transplant outcomes. The aim of this study was to evaluate liver metabolic activity under ex vivo perfusion in the presence of magnetite magnetic nanoparticles using mathematical modeling. Methods: Ex vivo liver perfusioПоказать полностьюn was performed with nanoparticles added to the perfusate; the concentration of nanoparticles in the inflowing and outflowing perfusate was determined by mass spectrometry. A stoichiometric model of hepatic metabolic fluxes was constructed, and the distribution of energy resources was assessed using the Zipf–Pareto law and its linear approximation, the Zipf–Pareto–Mandelbrot distribution. Results: It was shown that nanoparticle uptake by the liver increased from 26.5% to 54.4% over the course of perfusion. The introduction of magnetic nanocomposites altered metabolic fluxes, including glycolysis, the respiratory chain, and oxygen exchange across the surface, leading to redistribution of energy resources within liver cells. Zipf–Pareto analysis showed that energy was optimally distributed among all metabolic fluxes both in the control condition and in the presence of nanoparticles. Conclusions: Magnetic nanoparticles alter liver metabolic activity, but the functional state of the organ remains intact.</jats:p>

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Издание

Журнал: Biomedicines

Выпуск журнала: Т. 14, № 9

ISSN журнала: 22279059

Место издания: Basel

Издатель: Multidisciplinary Digital Publishing Institute (MDPI)

Персоны

  • Yakovleva Yuliya A. (V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)
  • Shadrin Konstantin V. (V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)
  • Pakhomova Vera G. (Siberian Branch of the Russian Academy of Sciences)
  • Rupenko Alexander P. (Siberian Branch of the Russian Academy of Sciences)
  • Pyankov Vladimir F. (Siberian Branch of the Russian Academy of Sciences)
  • Kryukova Olga V. (Siberian Branch of the Russian Academy of Sciences)
  • Yaroslavstev Roman N. (Siberian Branch of the Russian Academy of Sciences)
  • Apanovich Marina S. (V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)
  • Stolyar Sergey V. (Siberian Branch of the Russian Academy of Sciences)

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