We present a cost-effective normalization strategy for spatial metabolomics using uniformly 13C-labelled yeast extract, which addresses limitations of conventional methods and the physico-chemical complexity of water-soluble metabolites. Our approach outperforms standard normalization strategies and reveals hitherto unrecognized metabolic remodelling in the cortex after stroke, demonstrating its applicability.
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This is a summary of: Wang, G. et al. Spatial quantitative metabolomics enables identification of remote and sustained ipsilateral cortical metabolic reprogramming after stroke. Nat. Metab. https://doi.org/10.1038/s42255-025-01340-8 (2025).
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Unlocking spatial metabolomics with isotopically labelled internal standards. Nat Metab 7, 1730–1731 (2025). https://doi.org/10.1038/s42255-025-01341-7
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DOI: https://doi.org/10.1038/s42255-025-01341-7
