Inflammatory Protein Targets for Small Fiber Neuropathy

This dataset contains results from a study integrating Mendelian randomization analysis of 91 inflammatory proteins with experimental validation in a mouse model for small fiber neuropathy. It includes genetic association statistics, protein expression levels from animal tissues, and deep learning-based drug candidate screening results. The data was authored by Guangyu Cai and shared under a CC BY 4.0 license.

Use Cases

• Analyze the Mendelian randomization odds ratios for 91 inflammatory proteins, such as CCL11 and IL18R1, to identify genetic associations with small fiber neuropathy risk.
• Correlate protein expression levels of CCL11, MCP2, and IL18R1 from serum, dorsal root ganglia, and spinal cord tissues with behavioral and nerve density changes in a paclitaxel-induced mouse model.
• Validate deep learning and molecular docking predictions for small-molecule compounds by examining their reported binding affinity to inflammatory target proteins like CCL11 and IL18R1.

Strengths

• Integrates three distinct methodological layers: genetic analysis of 91 proteins, experimental validation in an animal model, and computational drug screening.
• Includes specific genetic association statistics, such as odds ratios and confidence intervals for proteins like CCL11 (OR=1.460).
• Contains experimental data on protein expression levels across multiple biological compartments (serum, dorsal root ganglia, spinal cord).

Limitations

• No genetic associations remained statistically significant after false discovery rate correction across the 91 tested proteins.
• The dataset is small (1.9 MB), limiting the scope for large-scale statistical or machine learning analysis.
• Findings are based on a single animal model (paclitaxel-induced SFN in mice), which may not fully represent human disease mechanisms.

Provenance

Source

Figshare, authored by Guangyu Cai.

Collection Method

Generated from a research study employing two-sample bidirectional Mendelian randomization, experimental validation in a mouse model, and deep learning (TransformerCPI 2.0) for drug screening.

Freshness

Last updated in March 2026.