Human Organoid-guided Metabolic Metaverse

An age-related loss of metabolic resilience underlines virtually across all common diseases. We will build a metabolic metaverse inferred from multiscale data involving the readouts from newly engineered advanced liver organoid models. Organoids at population scale will be genetically or non-genetically manipulated to reconstitute, probe and infer metabolic status to generate arrays of personalized metabolic aging scenarios. Our initial focus will be metabolic dysfunction associated liver disease wherein we have a preliminary success in predicting patients’ metabolic state. By incorporating multiomics analysis involving genetic and epigenetic signatures, in vitro model will be united with clinical data to infer personalized metabolic mechanisms and understand drug reactions.

Research content

References

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