Metabolomics is a powerful data-driven tool for in-depth biological phenotyping that could help identify the specific metabolic profile of cryptogenic strokes, for which no precise cause has been identified. We performed a targeted quantitative metabolomics study in West African patients who had recently suffered an ischemic stroke, which was either cryptogenic ( = 40) or had a clearly identified cause ( = 39), compared to a healthy control group ( = 40). Four hundred fifty-six metabolites were accurately measured.
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