Bioinformatics Analysis of Bushen Anzhi Recipe for Aging-Related Insomnia

A Chinese research study analyzes the mechanisms of a traditional herbal recipe for treating aging-related insomnia. The dataset includes 555 samples from the GSE98582 insomnia dataset and results from multi-level network and enrichment analyses of 25 effective components and 16 target genes. Haiming Li published this data on figshare in May 2026.

Use Cases

• Analyzing gene expression patterns related to neuroinflammation and insomnia based on the GSE98582 dataset mentioned.
• Investigating multi-level interaction networks for drug targets like HIF1A, PTGS2, and GSK3B described in the study.
• Exploring the relationship between traditional Chinese medicine components and the Wnt signaling pathway referenced in the conclusion.
• Validating computational findings with experimental results from rat models described in the methods.

Strengths

• Includes data from 555 samples (342 insomnia, 213 control) from a publicly available GEO dataset.
• Analysis identifies 25 effective herbal components and 16 neuroinflammation and drug target-related genes.
• Results are supported by in vivo rat model experiments described in the methods.

Limitations

• The dataset is extremely small (652 bytes), suggesting it may contain only summary results, not the raw expression data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for machine learning.

Provenance

Source

figshare, authored by Haiming Li.

Collection Method

Bioinformatics analysis combining public gene expression data (GSE98582), traditional medicine component databases, and experimental validation in rat models.

Time Range

null

Freshness

Last updated 2026-05-08 05:54:36; freshness should be verified.

Geography

Research likely originates from China, given the focus on Traditional Chinese Medicine.