# Organoids for Metabolic Disease Modeling

**Authors:** Arif Ibrahim Ardisasmita, Edward Eelco Salomon Nieuwenhuis, Sabine Annemijn Fuchs

PMC · DOI: 10.1002/jimd.70164 · 2026-03-10

## TL;DR

Organoids can model metabolic diseases better than traditional methods by focusing on specific functions rather than full organ replication.

## Contribution

The paper proposes using organoids to model specific metabolic functions rather than whole organs, enhancing disease modeling accuracy.

## Key findings

- Organoids replicate key metabolic functions missing in 2D models.
- Organoids effectively model specific metabolic defects in diseases like methylmalonic acidemia and Wilson's disease.
- Focusing on function over organ resemblance improves disease modeling and therapeutic development.

## Abstract

Inherited metabolic diseases (IMDs) are a diverse group of rare genetic disorders that disrupt metabolic pathways, leading to severe clinical manifestations. Disease models ranging from complex animal models to simple in vitro systems have provided insights into IMDs, but each has limitations. Organoids, three‐dimensional in vitro models, bridge this gap by replicating key metabolic functions that are absent in most simple 2D cell models. While organoids do not fully mimic organ complexity, they effectively model disease‐specific metabolic defects, as seen in methylmalonic acidemia, Wilson's disease, and cystic fibrosis. Recognizing that function is more critical than organ resemblance, we propose focusing on the specific function of interest rather than selecting a model solely based on its derivation from the most affected organ. Focusing on specific biological processes enables precise, disease‐relevant studies that drive novel therapeutic strategies and personalized medicine.

## Linked entities

- **Diseases:** methylmalonic acidemia (MONDO:0002012), Wilson's disease (MONDO:0010200), cystic fibrosis (MONDO:0009061)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, SLC22A5 (solute carrier family 22 member 5) [NCBI Gene 6584] {aka CDSP, OCTN2}, ATP7B (ATPase copper transporting beta) [NCBI Gene 540] {aka PWD, WC1, WD, WND}, CPT2 (carnitine palmitoyltransferase 2) [NCBI Gene 1376] {aka CPT1, CPTASE, IIAE4}, CPT1A (carnitine palmitoyltransferase 1A) [NCBI Gene 1374] {aka CPT I, CPT1, CPT1-L, CPTI-L, L-CPT1}, MMUT (methylmalonyl-CoA mutase) [NCBI Gene 4594] {aka MCM, MUT}, SLC25A20 (solute carrier family 25 member 20) [NCBI Gene 788] {aka CAC, CACT}, CFTR (CF transmembrane conductance regulator) [NCBI Gene 1080] {aka ABC35, ABCC7, CF, CFTR/MRP, MRP7, TNR-CFTR}, DGAT1 (diacylglycerol O-acyltransferase 1) [NCBI Gene 8694] {aka ARAT, ARGP1, DGAT, DIAR7}, ACSL1 (acyl-CoA synthetase long chain family member 1) [NCBI Gene 2180] {aka ACS1, FACL1, FACL2, LACS, LACS1, LACS2}
- **Diseases:** abnormalities in (MESH:D000014), demyelination (MESH:D003711), toxicity (MESH:D064420), cataracts (MESH:D002386), kidney injury (MESH:D007674), liver damage (MESH:D056486), methylmalonic acidemia (MESH:C537358), CPT2 deficiency (MESH:C535589), monogenic diseases (MESH:D004194), mitochondrial damage (MESH:D028361), cancer (MESH:D009369), galactosemia (MESH:D005693), CF (MESH:D003550), swelling (MESH:D004487), organ abnormalities (MESH:D009102), arrhythmia (MESH:D001145), jaundice (MESH:D007565), IMD (MESH:D030342), Metabolic Disease (MESH:D008659), arrhythmic (OMIM:212500), Krabbe disease (MESH:D007965), MMA (MESH:C565390), Wilson's disease (MESH:D006527)
- **Chemicals:** MMA (-), carnitine (MESH:D002331), cystine (MESH:D003553), Forskolin (MESH:D005576), methylmalonic acid (MESH:D008764), branched-chain amino acid (MESH:D000597), propionyl carnitine (MESH:C003223), copper (MESH:D003300), galactose (MESH:D005690), cyclic AMP (MESH:D000242)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** c.768G>T, G542X, F508del

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12974558/full.md

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Source: https://tomesphere.com/paper/PMC12974558