Urinary Metabolomics for Methyl Acetate Poisoning in Rat Model and Human Cohort

Jiayi Lv published a metabolomics dataset on figshare in April 2026. It contains untargeted metabolomic profiles from urine samples of MA-exposed rats, methanol-exposed rats, and occupationally exposed human subjects versus controls. The data was generated using UPLC-QTOF/MS to identify potential biomarkers and mechanisms of methyl acetate toxicity.

Use Cases

• Identify potential biomarkers for methyl acetate poisoning based on significantly altered metabolites like 20-COOH-LTB4 and SAH.
• Investigate toxicological mechanisms involving oxidative stress pathways such as the TCA cycle and glutathione metabolism.
• Differentiate between methyl acetate and methanol exposure in clinical settings using the identified metabolite signatures.
• Validate cross-species conservation of toxic responses by comparing rat model and human cohort metabolomic profiles.

Strengths

• Cross-species design includes data from 6 rats per exposure group and 18 human subjects (8 exposed, 10 controls).
• Identified 41 significantly altered metabolites in rat models and 16 in human subjects.
• Analysis reveals specific pathways like TCA cycle and glutathione metabolism, suggesting mechanistic insights.

Limitations

• Dataset is small at 200.8 KB; row and column counts are unknown, limiting scale assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific occupational cohort and experimental model used.

Provenance

Source

figshare, author Jiayi Lv.

Collection Method

Untargeted metabolomic analysis via UPLC-QTOF/MS on urine samples from established rat models and enrolled human subjects.

Freshness

Last updated 2026-04-17 04:11:56; freshness should be verified.