T2DM-Related Anesthetic Targets: MMP9 and HPSE Identified via Bioinformatics

A bioinformatics study from 2026 identified two core molecular targets, MMP9 and HPSE, associated with the anesthetics sevoflurane and propofol in type 2 diabetes mellitus. The dataset, shared by Lili Bai on figshare, contains results from differential expression analysis, machine learning, immune cell infiltration assessment, and molecular docking. The analysis involved constructing regulatory networks with 16 microRNAs and 12 transcription factors.

Use Cases

• Validate predicted anesthetic targets in T2DM based on the identified core targets MMP9 and HPSE.
• Investigate immune cell infiltration patterns in T2DM based on the described neutrophil and NK cell abundance changes.
• Analyze regulatory networks for core targets based on the 16 associated microRNAs and 12 transcription factors.
• Perform molecular docking studies based on the described potential interactions between anesthetics and the core targets.

Strengths

• Identifies two specific, validated core targets (MMP9 and HPSE) with supporting sensitivity analyses.
• Includes results from multiple analytical methods: differential expression, machine learning, and molecular docking.
• Contains functional enrichment analysis for pathways like receptor catabolic processes and autophagy.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific public databases and bioinformatics methods used.

Provenance

Source

figshare, author Lili Bai

Collection Method

Targets predicted from public databases, with validation via differential expression analysis, machine learning, and expression level verification.

Freshness

Last updated 2026-05-18 17:33:21; freshness should be verified.