Untargeted Plasma Metabolomics for Childhood Asthma with Pathway Annotations

Junlin Zhao's dataset contains processed untargeted plasma metabolomics data from a study of 30 normal-weight children aged 6-14 years, including 15 treatment-naive asthmatic patients and 15 healthy controls. The data was collected at the First Affiliated Hospital of Xinjiang Medical University between June 2025 and September 2025. It includes 516 differential metabolites with annotations and statistical metrics.

Use Cases

• Identify potential plasma biomarkers for childhood asthma based on 516 differential metabolites.
• Analyze metabolic pathway dysregulation based on KEGG annotations, including the glycine-serine-threonine metabolism pathway.
• Validate untargeted metabolomics methodologies using the described LC-MS platform and data processing pipeline.
• Compare metabolite profiles between treatment-naive asthmatic and healthy pediatric populations.

Strengths

• Includes 516 differential metabolites with detailed annotations such as HMDB, KEGG, and PubChem IDs.
• Data is from a controlled study with 15 age- and sex-matched pairs of asthmatic and healthy children.
• Specifies a rigorous analytical platform (UHPLC-Q Exactive Plus) and data processing criteria (p<0.05, VIP>1).
• Highlights three specific metabolites with significant upregulation and associated AUC values.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in file size (77.9 KB), indicating a limited scope of processed results rather than raw spectral data.

Provenance

Source

First Affiliated Hospital of Xinjiang Medical University

Collection Method

Plasma samples collected from a Han Chinese pediatric population in Urumqi, analyzed via UHPLC-Q Exactive Plus mass spectrometry.

Time Range

June 2025 to September 2025

Freshness

Last updated 2026-04-25 04:51:18; freshness should be verified.

Geography

Urumqi, Xinjiang, China