Candidate Target Genes for Anesthetic Effects in Type 2 Diabetes

Two core candidate genes, MMP9 and HPSE, were identified as significantly associated with the anesthetics sevoflurane and propofol in type 2 diabetes mellitus. The dataset was published by Lili Bai on figshare in May 2026. It includes results from differential expression analysis, machine learning, and molecular docking.

Use Cases

• Validate candidate therapeutic targets (MMP9 and HPSE) based on the differential expression analysis described.
• Investigate immune cell infiltration patterns in T2DM based on the CIBERSORT algorithm results mentioned.
• Explore regulatory networks involving microRNAs and transcription factors based on the 16 miRNAs and 12 TFs identified.
• Perform molecular docking studies based on the demonstrated potential interactions between anesthetics and core targets.

Strengths

• The identification of MMP9 and HPSE was supported by supplementary sensitivity analyses across multiple fold-change thresholds.
• The dataset is openly available under a CC-BY-4.0 license.
• The analysis integrates multiple methods including machine learning algorithms and molecular docking.

Limitations

• The dataset is very small at 9.7 KB, indicating limited scope.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Targets were predicted using public databases; core targets were identified via differential expression analysis, machine learning, and validation.

Freshness

Last updated 2026-05-18 17:33:26; freshness should be verified.