Cerebrospinal Fluid Lipid Profiles for Pediatric Meningitis Diagnosis

Feng Tang's lipidomics dataset contains 13 cerebrospinal fluid samples from 10 pediatric patients analyzed by UPLC-MS/MS. The data compares lipid metabolite profiles across acute-phase purulent meningitis, recovery-phase purulent meningitis, acute-phase viral meningitis, and non-meningitic controls. The dataset was last updated on 2026-05-29.

Use Cases

• Identify exploratory lipid biomarker candidates based on sphingolipid and dihexosylceramide alterations.
• Train classifiers to distinguish purulent meningitis from viral meningitis based on lipid metabolite profiles.
• Analyze disease-stage-specific lipid alterations in pediatric meningitis based on paired acute and recovery samples.
• Validate hypothesis-generating candidate features like LPC(20:3) and Hex2Cer(d42:3) in larger studies.

Strengths

• Includes paired samples from 3 patients, allowing analysis of acute and recovery phases.
• Lipidomics analysis performed on a Q Exactive high-resolution mass spectrometer.
• Data processed using LipidSearch v.4.1 software.

Limitations

• Small proof-of-concept cohort with only 13 samples, limiting statistical power.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Lipidomics analysis of cerebrospinal fluid samples from pediatric patients.

Freshness

Last updated 2026-05-29 04:43:59; freshness should be verified.