PRIMA Panel

PRIMA Panel assesses the impact of preanalytical variations on metabolomics samples and predicts metabolite stability using linear mixed models fitted to NMR spectroscopy data.

Key Features:

• Preanalytical Variation Assessment: Evaluates how delays in centrifugation and freezing affect metabolite concentrations in blood samples collected in various tube types.
• Metabolite Stability Prediction: Predicts changes in metabolite concentrations over time using validated linear mixed models.
• Stability Time Point Calculation: Identifies when a metabolite's concentration changes by 20% as a threshold for stability assessment.
• Performance Report Generation: Generates reports based on predicted metabolite stability for user samples.

Scientific Applications:

• Biobank Quality Control: Tracks preanalytical factors to improve the reliability of metabolomics analyses in biobanking settings such as the Dresden Integrated Liquid Biobank.
• NMR Metabolomics Validation: Validates centralized biobanking workflows by quantifying metabolite levels and modeling preanalytical effects.
• Sample Integrity Assessment: Determines which metabolites, such as lactic acid, are significantly affected by short delays versus those that remain stable for longer periods.

Methodology:

Metabolite levels were quantified using NMR spectroscopy and fitted in linear mixed models used to predict changes in metabolite concentrations over time; predictive models were validated in a separate cohort.