Mouse Lung Proteomics and Cytokine Data for Millettia Speciosa Asthma Treatment Study

A proteomic dataset from a mouse model of allergic asthma, investigating the therapeutic effects of the herb Millettia speciosa (Niudali). The data includes results from high-resolution data-independent acquisition (DIA) lung proteomics and cytokine profiling, identifying 179 differentially expressed proteins. The dataset was authored by Hangrui Yang and last updated on June 3, 2026.

Use Cases

• Identify potential drug targets for allergic asthma based on the 179 differentially expressed proteins.
• Investigate the role of the CCL24 chemokine in eosinophilic inflammation using the reported suppression data.
• Analyze immunometabolic pathway modulation, such as PPAR signaling and lipid transport, from the functional enrichment results.
• Study the gut-lung axis hypothesis in asthma using the molecular signature related to short-chain fatty acids (SCFAs).

Strengths

• Includes results from high-resolution data-independent acquisition (DIA) proteomics, a detailed analytical method.
• Identifies 179 differentially expressed proteins (DEPs) with specific hub proteins like Alb, Apoe, and Apoa1.
• Correlates proteomic findings with cytokine profiling data showing reductions in IgE, IL-4, IL-5, and IL-6.

Limitations

• The dataset is very small at 5.2 KB, indicating limited raw data or a summary document.
• Column-level documentation is absent; field semantics must be inferred after download.
• The proposed link to the gut-lung axis is noted as hypothetical and not directly investigated in the study.

Provenance

Source

figshare, authored by Hangrui Yang.

Collection Method

Generated from an ovalbumin-induced mouse model of allergic asthma using DIA lung proteomics and cytokine profiling.

Freshness

Last updated 2026-06-03 07:42:22; freshness should be verified.