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Ning Tian's 2026 study provides targeted metabolomics data from 60 fecal samples collected from 30 children with migraine and 30 healthy controls aged 5–14 years in Hebei Province, China. The dataset profiles amino acids, their derivatives, and short-chain fatty acids to identify metabolic signatures associated with pediatric migraine. It includes results of differential metabolite analysis, KEGG pathway enrichment, and ROC curve analysis for candidate biomarkers.
Primary data is contained in a DOCX file, which may require extraction or conversion for computational analysis.