Bioinformatics Analysis of Bushen Anzhi Recipe for Aging-Related Insomnia

342 insomnia and 213 control samples from the GSE98582 dataset were analyzed alongside 931 neuroinflammatory targets. The study identifies 25 effective components and 16 target genes, with experimental validation in a rat model of 60 subjects. The dataset was authored by Haiming Li and last updated in May 2026.

Use Cases

• Identify potential drug targets for insomnia based on neuroinflammatory gene expression data.
• Analyze multi-level interaction networks for herbal compounds based on the 25 effective components mentioned.
• Validate findings from gene expression analysis using in vivo model results like sleep time and protein levels.
• Explore associations between herbal treatments and signaling pathways like Wnt based on the core target genes HIF1A, PTGS2, and GSK3B.

Strengths

• Includes experimental validation from a rat model with 60 subjects and multiple assay types.
• Analysis is based on a specific gene expression dataset (GSE98582) with 555 total samples.
• Licensed under CC-BY-4.0 for open reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small at 9.2 KB, indicating limited scope or summary-level data.
• Freshness should be verified as the last update date is in the future (2026-05 08).

Provenance

Source

Gene Expression Omnibus (GSE98582), Traditional Chinese Medicine Systems Pharmacology and HERB databases.

Collection Method

Bioinformatics analysis of public gene expression data combined with experimental rat model studies.

Time Range

The underlying GSE98582 dataset's collection date is not specified.

Freshness

Last updated 2026-05-08 05:54:39.

Geography

The study likely reflects data from the originating research institution; specific geography is not stated.