generation-of-human-brain-organoids-for-mitochondrial-disease-modeling

Generation of Human Brain Organoids for Mitochondrial Disease Modeling

Mitochondrial diseases represent the largest class of inborn errors of metabolism and are currently incurable. These diseases cause neurodevelopmental ...

Heinrich Heine University

Icahn School of Medicine at Mount Sinai

Mitochondrial DNA (mtDNA) mutations frequently cause neurological diseases. Modeling of these defects has been difficult because of the challenges associated with engineering mtDNA. We show here that neural progenitor cells (NPCs) derived from human induced pluripotent stem cells (iPSCs) retain the parental mtDNA profile and exhibit a metabolic switch toward oxidative phosphorylation. NPCs derived in this way from patients carrying a deleterious homoplasmic mutation in the mitochondrial gene MT-ATP6 (m.9185T>C) showed defective ATP production and abnormally high mitochondrial membrane potential (MMP), plus altered calcium homeostasis, which represents a potential cause of neural impairment. High-content screening of FDA-approved drugs using the MMP phenotype highlighted avanafil, which we found was able to partially rescue the calcium defect in patient NPCs and differentiated neurons. Overall, our results show that iPSC-derived NPCs provide an effective model for drug screening to target mtDNA disorders that affect the nervous system.

Human iPSC-Derived Neural Progenitors Are an Effective Drug Discovery Model for Neurological mtDNA Disorders.

Leigh syndrome (LS) is a severe manifestation of mitochondrial disease in children and is currently incurable. The lack of effective models hampers our understanding of the mechanisms underlying the neuronal pathology of LS. Using patient-derived induced pluripotent stem cells and CRISPR/Cas9 engineering, we developed a human model of LS caused by mutations in the complex IV assembly gene SURF1. Single-cell RNA-sequencing and multi-omics analysis revealed compromised neuronal morphogenesis in mutant neural cultures and brain organoids. The defects emerged at the level of neural progenitor cells (NPCs), which retained a glycolytic proliferative state that failed to instruct neuronal morphogenesis. LS NPCs carrying mutations in the complex I gene NDUFS4 recapitulated morphogenesis defects. SURF1 gene augmentation and PGC1A induction via bezafibrate treatment supported the metabolic programming of LS NPCs, leading to restored neuronal morphogenesis. Our findings provide mechanistic insights and suggest potential interventional strategies for a rare mitochondrial disease.

Defective metabolic programming impairs early neuronal morphogenesis in neural cultures and an organoid model of Leigh syndrome.

Cellular metabolism contributes to cell fate decisions. Bioenergetic profiling can therefore provide considerable insights into cellular identity and specification. Given the current importance of human pluripotent stem cells (hPSCs) for biomedical applications, assessing the bioenergetic properties of hPSCs and derivatives can unveil relevant mechanisms in the context of development biology and molecular disease modeling. Here, we describe a method to facilitate bioenergetic profiling of hPSCs in a reproducible and scalable manner. After simultaneous assessment of mitochondrial respiration and glycolytic capacity using Seahorse XFe96 Analyzer, we measure lactate concentration in the cellular media. Finally, we normalize the values based on DNA amount. We describe the procedures with specific requirements related to hPSCs . However, the same protocol can be easily adapted to other cell types, including differentiated progenies from hPSCs .

Article	Year
Human iPSC-Derived Neural Progenitors Are an Effective Drug Discovery Model for Neurological mtDNA Disorders. Cell stem cell\| PubMed ID: 28132834	2017
Defective metabolic programming impairs early neuronal morphogenesis in neural cultures and an organoid model of Leigh syndrome. Nature communications\| PubMed ID: 33771987	2021
Bioenergetic Profiling of Human Pluripotent Stem Cells. Methods in molecular biology (Clifton, N.J.)\| PubMed ID: 34080164	2021

Gizem Inak

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