Clinical Proteomics-Guided Network Pharmacology for Cadmium-Induced Anxiety

Maoqin Tian published a dataset on figshare in 2026. It contains proteomics and pharmacology data from a study investigating cadmium-induced anxiety. The data includes results from a propensity-score-matched cohort of 50 individuals and validation in a rat model.

Use Cases

• Validate network pharmacology predictions based on differentially expressed proteins.
• Model molecular docking interactions based on prioritized compounds like quercetin and kaempferol.
• Compare behavioral and histological outcomes in rat models based on treatment with a ginseng-mulberry decoction.
• Analyze protein-protein interaction networks based on 120 anxiety-associated seed proteins.

Strengths

• Includes data from a clinical cohort of 50 propensity-score-matched individuals.
• Integrates multi-omics and computational validation methods, including 100ns molecular dynamics simulations.
• Dataset is licensed under CC-BY-4.0, allowing for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data is contained in a DOCX file, which may require parsing to extract structured data.

Provenance

Source

Maoqin Tian

Collection Method

Plasma proteomes profiled by LC-MS/MS from a clinical cohort, followed by network pharmacology and rat validation.

Freshness

Last updated 2026-05-25 05:31:13; freshness should be verified.