MagMet

MagMet automates targeted 1D ^1H NMR metabolomics processing and quantification of human serum and plasma to detect and measure metabolites, including markers of inborn errors of metabolism (IEM).

Key Features:

• Targeted 1D ^1H NMR analysis: Processes and quantifies 1D ^1H NMR spectra from human serum and plasma, including metabolites associated with inborn errors of metabolism (IEM).
• Comprehensive data processing: Performs automatic Fourier transformation, phase correction, baseline optimization, chemical shift referencing, water signal removal, peak picking, and peak alignment.
• Reference spectral library: Uses a specialized reference spectral NMR library comprising 85 serum/plasma compounds for metabolite identification and quantification.
• Spectral parameter utilization: Identifies and quantifies metabolites based on peak positions, linewidth information, and J-couplings from experimentally acquired spectra.
• Linewidth adjustment across field strengths: Adjusts linewidth to ensure consistent quantification across different NMR instrument field strengths.
• High-throughput performance: Detects and quantifies 58 serum/plasma metabolites in approximately 2.6 minutes per spectrum when processing datasets of 50-100 spectra.

Scientific Applications:

• Clinical diagnostics: Rapidly detects and quantifies serum/plasma metabolites relevant to diagnosing inborn errors of metabolism and other metabolic conditions.
• Metabolomics research: Enables high-throughput targeted metabolomics studies of human serum and plasma for investigations of metabolic pathways and disorders.
• Method validation and simulation: Validated against known IEM samples and applicable for simulating conditions for other biofluids.

Methodology:

An optimized algorithm integrates automatic Fourier transformation, phase correction, baseline optimization, chemical shift referencing, water signal removal, peak picking and alignment, and linewidth adjustment, using a reference spectral NMR library of 85 serum/plasma compounds to identify and quantify metabolites based on peak positions, linewidths, and J‑couplings.