HIGHLIGHTS
- What: To address this gap the authors introduce a comprehensive pipeline integrating GEMs with patient plasma metabolome. The study demonstrates the efficacy of integrating patient plasma metabolome data into computational models to analyze endothelial cell metabolism in disease contexts. Subsequently, the authors determine the baseline model through flux sampling, allowing the authors to explore the feasible metabolic states of the cell . Next, the authors investigate the cellular capabilities of the case-specific EC GEMs.
- Who: Fernando Silva-Lance et al. from the CAG Center for Endotheliomics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark have published the . . .

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