Table 2 Lobetyolin: Gut Microbiota and Bile Acid Data from PCOS Mouse Study

A dataset from a preclinical study investigating the effects of lobetyolin on a mouse model of polycystic ovary syndrome. The data includes hormone levels, glucose tolerance, estrus cycle status, gut microbiota 16S rRNA sequencing, bile acid metabolomics, and uterine molecular markers. The dataset was authored by Lijuan Li and last updated on May 1, 2026.

Use Cases

• Analyze correlations between gut microbiota composition and serum hormone levels based on 16S rRNA sequencing and hormone assay data.
• Model the relationship between bile acid metabolite levels and insulin sensitivity metrics based on metabolomics and glucose tolerance test results.
• Investigate associations between inflammatory markers and ovarian steroidogenic enzyme expression based on ELISA and qPCR data.
• Study pathological vascular remodeling in the uterus based on VEGFA/VEGFR2, MMP2/9, and TIMP1/2 expression levels.

Strengths

• Data is derived from a controlled experimental design using a DHEA-induced PCOS murine model administered lobetyolin for 28 days.
• Includes multi-modal measurements: hormone assays, gene expression (qPCR), inflammatory markers (ELISA), 16S rRNA sequencing, and targeted metabolomics.
• The dataset is licensed under CC-BY-4.0, allowing for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 14.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data generated from a preclinical mouse study involving hormone level monitoring, qPCR, ELISA, 16S rRNA sequencing, and metabolomics.

Freshness

Last updated 2026-05-01 05:27:39; freshness should be verified.