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2 Computational modelling in liver system and liver disease

  • Yunjie Liao , Nathan A. Davies and I. David L. Bogle
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Abstract

The liver, our body’s chemical factory, is central to metabolism, homeostasis, and detoxification. The advent of systems biology and computational modelling has revolutionised our understanding of the liver system and its diseases. This chapter focuses on the application of computational modelling, specifically a kinetic model of fructose metabolism, to explore the relationship between fructose and liver disease progression. We begin by reviewing the fundamental aspects of liver anatomy and physiology, setting the stage for an in-depth discussion on the alarming crisis of metabolic dysfunction-associated steatotic liver disease (MASLD). Through a specific case study, we provide insights into the metabolic events triggered by fructose intake and illustrate how computational models can predict disease progression and identify potential therapeutic targets, paving the way for personalised treatment plans. The chapter concludes by discussing the challenges and future directions in the field, emphasising the transformative potential of engineering principles in medicine.

Abstract

The liver, our body’s chemical factory, is central to metabolism, homeostasis, and detoxification. The advent of systems biology and computational modelling has revolutionised our understanding of the liver system and its diseases. This chapter focuses on the application of computational modelling, specifically a kinetic model of fructose metabolism, to explore the relationship between fructose and liver disease progression. We begin by reviewing the fundamental aspects of liver anatomy and physiology, setting the stage for an in-depth discussion on the alarming crisis of metabolic dysfunction-associated steatotic liver disease (MASLD). Through a specific case study, we provide insights into the metabolic events triggered by fructose intake and illustrate how computational models can predict disease progression and identify potential therapeutic targets, paving the way for personalised treatment plans. The chapter concludes by discussing the challenges and future directions in the field, emphasising the transformative potential of engineering principles in medicine.

Chapters in this book

  1. Preface V
  2. List of contributing authors
  3. Part I Chemical engineering and medicine
  4. 1 A systems engineering approach to medicine 3
  5. Part II Modelling physiology
  6. 2 Computational modelling in liver system and liver disease 21
  7. 3 Inhaled aerosols as carriers of pulmonary medicines and the limitations of in vitroin vivo correlation (IVIVC) methods 49
  8. 4 Modelling drug permeation across the skin: a chemical engineering perspective 73
  9. 5 Chemical engineering contribution to hemodialysis innovation: achieving the wearable artificial kidneys with nanomaterial-based dialysate regeneration 103
  10. Part III Disease and treatment
  11. 6 Precision medicine in hypothyroidism: an engineering approach to individualized levothyroxine dosing 127
  12. 7 Glucose sensors in medicine: overview 167
  13. 8 Macroscopic transport models for drugs and vehicles in cancer tissues 185
  14. 9 Mathematical modelling of hollow-fiber haemodialysis modules 203
  15. 10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease 243
  16. 11 On the development of pharmacokinetic models for the characterisation and diagnosis of von Willebrand disease 263
  17. Part IV Pharmacokinetics and drug delivery
  18. 12 An introduction to quantitative systems pharmacology for chemical engineers 293
  19. 13 A novel strategy for brain cancer treatment through a multiple emulsion system for simultaneous therapeutics delivery 315
  20. 14 Model-based dose selection for gene therapy for haemophilia B 333
  21. 15 Lipid-based nanoparticles for nucleic acids delivery 359
  22. Index
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