Concepts and Software Package for Efficient Quality Control in Targeted Metabolomics Studies: MeTaQuaC

Area of Science:

• Biochemistry
• Analytical Chemistry
• Bioinformatics

Background:

• Targeted quantitative mass spectrometry metabolite profiling is vital for metabolomics.
• Robust and reproducible data are essential for reliable analytical results, especially in large-scale studies.
• Commercial kits offer standardized solutions but require rigorous quality assurance.

Purpose of the Study:

• To address systematic and random measurement errors in metabolomics data generated using commercial kits.
• To propose methods for detecting and quantifying these errors to ensure data integrity.
• To introduce the MeTaQuaC software for comprehensive quality control in metabolomics studies.

Main Methods:

• Analysis of systematic and random measurement errors associated with commercial metabolomics kits.
• Utilizing wider data set analysis and quality control samples to identify outliers and trends.
• Development and implementation of the MeTaQuaC software, an open-source R package.

Main Results:

• MeTaQuaC software provides comprehensive quality control reports with visualizations, scores, and statistics.
• The software facilitates the identification of outliers and quantification of systematic trends in metabolomics data.
• Includes preliminary unsupervised multivariate analysis for rapid insight into study variables and groups.

Conclusions:

• Implementing routine quality assurance and control measures is essential even when using commercial kits.
• The MeTaQuaC software improves downstream analysis by enhancing data quality and providing insights.
• MeTaQuaC supports Biocrates kits and other targeted metabolomics data sets, promoting open-source accessibility.