Metabolomic Changes Underpinning Permethrin Resistance in Anopheles gambiae from Cameroon

A metabolomic dataset analyzing permethrin resistance in malaria vectors. The data was generated using ultra-high-performance liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC-HRMS/MS) on field-derived Anopheles gambiae mosquitoes from Cameroon. It was authored by Steve V. Djova and last updated on May 28, 2026.

Use Cases

• Identify metabolic biomarkers for insecticide resistance based on upregulated metabolites like inosine and dipeptides.
• Investigate neurotoxicity and energy disruption pathways in susceptible mosquitoes based on metabolites like N-acetyl-aspartic acid and xanthurenic acid.
• Model the relationship between metabolic shifts, such as altered amino acid levels, and pyrethroid cross-resistance emergence.
• Compare metabolic profiles between resistant and susceptible mosquito phenotypes to understand detoxification mechanisms.

Strengths

• Dataset size is 17.2 MB, indicating a substantial volume of metabolomic data.
• Analysis uses high-resolution UHPLC-HRMS/MS, suggesting detailed and precise metabolite profiling.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Ultra-high-performance liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC-HRMS/MS) analysis.

Freshness

Last updated 2026-05-28 07:16:09; freshness should be verified.

Geography

Cameroon