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Supplementary metabolomics datasets for a paired CSF study of repeated anodal tDCS in Parkinson's disease

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Zenodo2026-05-24 更新2026-05-26 收录
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This record contains supplementary tables and processed metabolomics datasets associated with the manuscript entitled “Cerebrospinal fluid metabolomic remodeling following repeated anodal transcranial direct current stimulation in Parkinson’s disease: an exploratory paired study.” The study investigated pre-post changes in the cerebrospinal fluid metabolome of patients with Parkinson’s disease following five consecutive daily sessions of anodal transcranial direct current stimulation. Paired CSF samples were collected before and after the stimulation interval and analyzed using ultra-performance liquid chromatography coupled with trapped ion mobility quadrupole time-of-flight mass spectrometry. Polar and non-polar metabolite fractions were processed separately, followed by statistical, pathway-level, and molecular mapping analyses. The uploaded supplementary file includes the following tables and datasets: Supplementary Table S1: Baseline demographic and clinical data of the study participants, including age, sex, disease duration, UPDRS-III, Hoehn and Yahr stage, MoCA-K, NMSS-K, and levodopa equivalent daily dose. Supplementary Table S2: Pathway analysis results based on metabolites differing between pre- and post-intervention CSF samples, including pathway names, total compounds, hits, raw p-values, Holm-adjusted p-values, FDR values, and pathway impact values. Supplementary Dataset S1: Polar compounds detected and annotated in CSF extracts by hybrid ion mobility-QTOF MS analysis. The dataset includes compound names, retention times, collision cross sections, measured m/z values, measured neutral masses, VIP values, ionization modes, fold changes, log2 fold changes, p-values, PubChem CIDs, InChIKeys, and SMILES. Supplementary Dataset S2: Non-polar compounds, including lipids, detected and annotated in CSF extracts by hybrid ion mobility-QTOF MS analysis. The dataset includes compound names, retention times, collision cross sections, measured m/z values, measured neutral masses, VIP values, ionization modes, fold changes, log2 fold changes, and p-values. Compound annotations should be regarded as putative metabolite annotations based on accurate mass, ion mobility-derived collision cross section information, and library-supported MS/MS matching. The datasets are provided to support transparency, reproducibility, and further interpretation of the metabolomic findings reported in the associated manuscript.

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Zenodo
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2026-05-24
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