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Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
The...

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Validating Centralized Biobanking Workflows for NMR Metabolomics Using the PRIMA Panel.

Heidi Altmann1,2, Marko Barovic3, Katrin Straßburger3

  • 1Medical Clinic & Polyclinic 1, University Hospital and Faculty of Medicine Carl Gustav Carus of TU Dresden, Dresden 01307, Germany.

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Summary

Preanalytical factors like delayed centrifugation and freezing significantly impact metabolomics research. A new tool, PRIMA Panel, helps assess these effects and improve data reliability in biobanking.

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Area of Science:

  • Metabolomics
  • Biobanking
  • Analytical Chemistry

Background:

  • Preanalytical factors critically influence biological sample quality for metabolomics.
  • Timeliness of centrifugation and freezing are key preanalytical variables affecting metabolite stability.

Purpose of the Study:

  • To evaluate the impact of preanalytical delays on metabolite concentrations in blood samples.
  • To develop a predictive model for metabolite stability and a practical tool for quality control.

Main Methods:

  • Blood samples were subjected to controlled pre- and postcentrifugation delays.
  • Metabolite levels were quantified using Nuclear Magnetic Resonance (NMR) spectroscopy.
  • Linear mixed models were employed to predict metabolite concentration changes over time.

Main Results:

  • Significant metabolite alterations were observed with short preanalytical delays (e.g., lactic acid).
  • A "stability time point" concept was introduced to define metabolite stability thresholds (20% change).
  • Predictive models were validated, and the PRIMA Panel tool was developed and tested in a biobank setting.

Conclusions:

  • Tracking preanalytical factors is crucial for enhancing the reliability of metabolomics data.
  • The PRIMA Panel offers a practical, open-source solution for assessing preanalytical variability in biobanks.
  • This work improves the quality control and reproducibility of metabolomics research.