Mouse Aorta Lipidome and Gut Metaproteome Under 33 Drug Treatments

A research dataset from figshare investigates drug-induced cardiovascular risk by profiling molecular changes in mice. It contains lipidomic data from mouse aortas and metaproteomic data from gut microbiomes following treatment with 33 commonly used drugs, including anticancer and cardiovascular agents. The dataset was authored by Feixiang He and last updated in May 2026.

Use Cases

• Identify drug-induced lipid alterations based on aorta lipidome profiling.
• Correlate gut microbial protein changes with cardiovascular lipid profiles based on paired metaproteomic data.
• Investigate drug-host-microbe interactions based on antibiotic pretreatment and conventional mouse model experiments.
• Compare the effects of anticancer versus cardiovascular drugs based on the reported significant alteration rates (75.0% vs. 12.5%).
• Analyze shifts in phosphatidylethanolamine (PE) fatty acyl chain length and unsaturation based on lipidomic feature analysis.

Strengths

• Profiles 33 distinct drug treatments, enabling comparative analysis.
• Includes paired data from two biological systems: aorta lipidome and gut metaproteome.
• File size is 8.3 MB, indicating a detailed but manageable dataset.

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 mouse model and experimental conditions used.

Provenance

Source

figshare

Collection Method

Likely generated from laboratory experiments profiling mouse aorta lipids and gut microbial proteins under drug treatments.

Freshness

Last updated 2026-05-15 02:05:02; freshness should be verified.