Supplementary file 1_Red yeast rice extract’s impact on liver health: a pharmacological an
by Mo Zhao·Updated 2mo ago
205.9 KB1files
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Description
A 205.9 KB DOCX file contains supplementary data from a study investigating red yeast rice extract's therapeutic mechanism in hamster models of non-alcoholic fatty liver disease. The study, authored by Mo Zhao and last updated in April 2026, performed untargeted metabolomics analysis and measured serum lipids, liver function parameters, and inflammatory cytokines. The data likely contains results from biochemical assays, ELISA, histopathological staining, qPCR, and immunohistochemistry.
Use Cases
Identify differential metabolites in liver tissue based on untargeted UHPLC-QTOF/MS metabolomics results.
Analyze correlations between serum lipid levels (TG, CHO, HDL-C, LDL-C) and liver health outcomes.
Investigate the modulation of the JNK/AP-1/TNF-α signaling pathway through mRNA and protein expression data.
Validate histopathological findings from Oil Red O, HE, and Masson staining against biochemical markers.
Strengths
Untargeted metabolomics identified 135 differential metabolites between model and treatment groups.
Study design includes 40 hamsters across four distinct treatment groups (n=10 per group).
Analysis integrates multiple data types: metabolomics, serum biochemistry, histopathology, and molecular pathway data.
Limitations
Row count and column-level documentation are absent; field semantics must be inferred after download.
The primary data file is a DOCX document, which may require extraction or conversion for computational analysis.
Data is derived from a specific animal model (HFD-fed hamsters), which may limit direct translation to human biology.
Provenance
Source
figshare, author Mo Zhao.
Collection Method
Data generated from an experimental study using hamster models, untargeted metabolomics (UHPLC-QTOF/MS), and various biochemical and molecular assays.
Freshness
Last updated 2026-04-15 05:46:35; freshness should be verified.
Data is provided in a DOCX file format, which may not be immediately machine-readable for analysis without preprocessing.