Clinical Proteomics-Guided Network Pharmacology Study on Cadmium-Induced Anxiety

A research study by Maoqin Tian, published on figshare in 2026, describes a pipeline for identifying multi-target interventions for cadmium-induced anxiety. The work involved profiling plasma proteomes from a propensity-score-matched cohort of 50 individuals and validating findings in a rat model. The dataset consists of a DOCX document summarizing the methodology and results.

Use Cases

• Reviewing the methodology for integrating clinical proteomics with network pharmacology based on the described pipeline.
• Analyzing the list of 120 differentially expressed proteins associated with anxiety mentioned in the results.
• Studying the application of molecular docking and dynamics simulations for target validation based on the described workflow.
• Investigating the use of medicine-food homologous pairs like ginseng-mulberry for neurobehavioral interventions.

Strengths

• The study is based on a clinical cohort of 50 individuals (25 anxious vs. 25 non-anxious).
• The proteomics analysis identified 120 differentially expressed proteins.
• The research includes in-silico (molecular docking, 100ns dynamics simulations) and in-vivo (rat validation) components.

Limitations

• The dataset is a single 18.0 KB DOCX document; the underlying raw proteomics data is not included.
• Column-level documentation for any potential supplementary data is absent.
• The row count for any potential tabular data within the document is unknown.

Provenance

Source

figshare

Collection Method

Plasma proteome profiling via LC-MS/MS on a clinical cohort, followed by network pharmacology screening and rat model validation.

Freshness

Last updated 2026-05-25 05:31:13