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Quality Control and Validation Issues in LC-MS Metabolomics.

Olga Begou1, Helen G Gika2, Georgios A Theodoridis1

  • 1Department of Chemistry, Aristotle University, Thessaloniki, Greece.

Methods in Molecular Biology (Clifton, N.J.)
|April 15, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a quality control (QC) procedure to enhance the precision of untargeted metabolomics, a global metabolic profiling technique. This method improves the reliability of results from complex biological samples like urine and plasma.

Keywords:
Biological samplesQuality controlUntargeted metabolomics

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Area of Science:

  • Biochemistry and Analytical Chemistry
  • Metabolomics and Systems Biology

Background:

  • Global metabolic profiling, or untargeted metabolomics, offers a comprehensive, hypothesis-free analysis of metabolites in biological samples.
  • Despite growing interest, untargeted metabolomics faces significant challenges in result validation and quality assurance.
  • Ensuring the precision of analytical processes is crucial for reliable metabolic phenotyping.

Purpose of the Study:

  • To present a standardized quality control (QC) protocol for monitoring analytical precision in untargeted metabolic phenotyping.
  • To provide a robust methodology applicable to various biological matrices, including biofluids, cells, and tissues.

Main Methods:

  • Development and description of a specific QC procedure tailored for untargeted metabolic phenotyping.
  • Application of the QC protocol to analyze the precision of metabolic profiling in urine and plasma/serum samples.
  • Validation of the QC methodology for its potential use across diverse biological matrices.

Main Results:

  • The proposed QC procedure effectively monitors the precision of the analytical process in untargeted metabolic phenotyping.
  • The methodology demonstrates applicability to different biological matrices, ensuring consistent quality control.
  • Implementation of this QC protocol enhances the reliability and reproducibility of metabolomic data.

Conclusions:

  • A validated QC procedure is essential for improving the quality and precision of untargeted metabolic phenotyping.
  • This protocol offers a reliable method for quality assurance in metabolomics studies across various biological samples.
  • Adoption of this QC strategy will advance the field of metabolomics by ensuring higher data integrity.