ArticleInternational journal of molecular sciences2026
Risk of Erythritol-Associated Ischemic Stroke: Integrated Genetic, Transcriptomic, and Machine Learning Evidence.
Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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8 authors.
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Abstract
Erythritol is a widely used low-calorie sugar substitute, but its relationship with cerebrovascular risk remains uncertain. We investigated the association between genetically predicted erythritol levels and ischemic stroke and explored stroke-related molecular features using an integrative bioinformatics framework. Two-sample and multivariable Mendelian randomization were performed across cardiovascular-kidney-metabolic outcomes, followed by target prediction, enrichment and protein-protein interaction analyses, transcriptomic profiling, machine-learning feature selection, SHAP interpretation, immune-cell analysis, gene set variation analysis, and exploratory molecular docking. Genetically predicted erythritol showed the strongest association with stroke among the tested sweetener-related traits (OR = 1.246, 95% CI: 1.101-1.410,
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