Bioinformatics Analysis of Bushen Anzhi Recipe for Aging-Related Insomnia

A study from figshare investigates the mechanisms of a Chinese herbal formula for aging-related insomnia. The dataset includes 555 samples (342 insomnia, 213 control) from the GEO database GSE98582 and experimental results from 60 rats. The author, Haiming Li, published the work under a CC-BY-4.0 license in May 2026.

Use Cases

• Identify differentially expressed genes related to neuroinflammation and insomnia based on the 931 targets and 16 overlapping genes mentioned.
• Analyze multi-level interaction networks for drug-target relationships based on the 25 effective components and core genes (HIF1A, PTGS2, GSK3B) described.
• Validate findings related to the Wnt signaling pathway (GSK-3β, β-catenin, Wnt3a) based on the experimental results from rat models.
• Perform enrichment analysis on gene sets related to cellular biological processes as described in the study methodology.

Strengths

• Includes a substantial sample size of 555 human gene expression samples from a public repository.
• Integrates multi-source data from GeneCards, MSigDB, TCMSP, and HERB databases.
• Provides experimental validation data from a controlled rat study with 60 subjects across three groups.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary data tables is unknown, which may limit suitability assessment.
• The dataset is very small (24.0 KB), suggesting it may contain summary or processed results rather than raw experimental data.

Provenance

Source

Gene Expression Omnibus (GEO) database GSE98582, plus experimental data from a rat model study.

Collection Method

Bioinformatics analysis of public gene expression data combined with laboratory experiments (polysomnography, Morris water maze, western blot, ELISA).

Time Range

The study was published in 2026; the temporal coverage of the underlying GEO data is not specified.

Freshness

Last updated 2026-05-08 05:54:32; freshness should be verified.

Geography

The geographic origin of the data is not specified, but the research context is traditional Chinese medicine.