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Organoids for Metabolic Disease Modeling
Arif Ibrahim Ardisasmita1,2, Edward Eelco Salomon Nieuwenhuis1,3, Sabine Annemijn Fuchs1,2,4
1Department of Metabolic Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands.
Journal of Inherited Metabolic Disease
|March 10, 2026
Summary
Organoids offer advanced models for studying inherited metabolic diseases (IMDs) by replicating crucial metabolic functions. Focusing on specific biological functions, rather than organ origin, enables precise disease research and personalized medicine development.
Area of Science:
- Biochemistry
- Genetics
- Developmental Biology
Background:
- Inherited metabolic diseases (IMDs) are rare genetic disorders affecting metabolic pathways, causing severe health issues.
- Current disease models (animal, 2D cell cultures) have limitations in fully representing IMD complexity.
- Organoids, as 3D in vitro models, can recapitulate key metabolic functions lost in simpler models.
Purpose of the Study:
- To highlight the utility of organoids in modeling inherited metabolic diseases.
- To propose a functional-centric approach for selecting disease models.
- To emphasize the potential of organoid models for advancing therapeutic strategies and personalized medicine.
Main Methods:
- Review of existing literature on IMD models.
- Analysis of organoid capabilities in mimicking metabolic functions.
- Case examples of organoids modeling specific IMDs (e.g., methylmalonic acidemia, Wilson's disease, cystic fibrosis).
Main Results:
- Organoids effectively model disease-specific metabolic defects.
- Organoids bridge the gap between simple 2D models and complex organ systems.
- Functional relevance is key for effective disease modeling, surpassing strict organ origin.
Conclusions:
- Organoid models provide a powerful platform for studying IMDs.
- A function-focused approach optimizes model selection for IMD research.
- This strategy facilitates the development of novel therapeutics and personalized medicine for IMDs.

