Bioinformatics Analysis of Bushen Anzhi Recipe for Aging-Related Insomnia

A Chinese research study analyzing the mechanisms of a traditional herbal formula for insomnia. The dataset includes 555 samples from the GEO database (GSE98582) and results from rat model experiments involving polysomnography, behavioral tests, and molecular assays. The dataset was authored by Haiming Li and last updated in May 2026.

Use Cases

• Identifying differentially expressed genes related to neuroinflammation and insomnia based on the analysis of the GSE98582 dataset.
• Constructing multi-level interaction networks for drug-target analysis based on the 25 effective components and 16 overlapping target genes mentioned.
• Investigating the regulation of the Wnt signaling pathway in insomnia treatment based on the reported changes in GSK-3β, β-catenin, and Wnt3a levels.
• Validating computational findings with experimental data based on the described rat model results for sleep time and behavioral metrics.

Strengths

• Includes 555 human gene expression samples (342 insomnia, 213 control) from the GEO database.
• Integrates computational bioinformatics (25 components, 16 targets) with in-vivo rat model validation (60 rats across 3 groups).
• Released under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (562.6 KB), indicating limited scope or aggregated summary data.

Provenance

Source

figshare

Collection Method

Gene expression data was obtained from the Gene Expression Omnibus (GEO) database GSE98582; active components were sourced from Traditional Chinese Medicine Systems Pharmacology and HERB databases; experimental data comes from a rat model study.

Time Range

The study period is not specified.

Freshness

Last updated 2026-05-08 05:54:35; freshness should be verified.

Geography

The research likely originates from a Chinese institution, given the focus on Traditional Chinese Medicine, but the specific geography is not stated.