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A Systematically Reduced Mathematical Model for Organoid Expansion.

Meredith A Ellis1, Mohit P Dalwadi1, Marianne J Ellis2,3

  • 1Mathematical Institute, University of Oxford, Oxford, United Kingdom.

Frontiers in Bioengineering and Biotechnology
|June 28, 2021
PubMed
Summary
This summary is machine-generated.

This study models organoid bioreactors to optimize nutrient delivery and waste removal. Mathematical modeling helps control metabolite levels for improved organoid production quality and quantity.

Keywords:
asymptoticbioreactormultiscaleorganoid culturereduced-order modeltransport

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Area of Science:

  • Biotechnology
  • Bioreactor Engineering
  • Mathematical Modeling

Background:

  • Organoids mimic in vivo tissues for applications like drug discovery.
  • Scaling up organoid production requires efficient, reproducible methods.
  • Bioreactors with controlled fluid flow enhance organoid mass transport.

Purpose of the Study:

  • To develop a mathematical model for organoid bioreactors.
  • To investigate mass transport of glucose and lactate.
  • To optimize bioreactor conditions for scalable organoid production.

Main Methods:

  • Developed a continuum mathematical model of the bioreactor.
  • Simplified the model using thin geometry assumptions.
  • Simulated metabolite transport (glucose and lactate) based on flow rate and cell density.

Main Results:

  • Reduced model accurately predicts metabolite distributions.
  • Quantified bioreactor performance using metrics like glucose conversion and lactate concentration.
  • Determined the impact of organoid characteristics and flow rate on metabolite levels.

Conclusions:

  • Mathematical modeling provides insights into bioreactor operation.
  • Optimized conditions improve organoid quality and yield.
  • This work informs bioreactor design for large-scale organoid expansion.