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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
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NMR for sample quality assessment in metabolomics
Veronica Ghini1, Deborah Quaglio2, Claudio Luchinat3
1Center of Magnetic Resonance (CERM), University of Florence, Sesto Fiorentino FI, Italy.
New Biotechnology
|April 26, 2019
Summary
Nuclear Magnetic Resonance (NMR) methods were developed to assess how pre-analytical treatments affect biological sample quality for metabolomics. These findings informed technical specifications for sample handling and long-term storage.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Biobanking
Background:
- Metabolomics relies on high-quality biological samples.
- Pre-analytical variables significantly impact metabolomic data integrity.
- Standardized pre-analytical procedures are crucial for reliable results.
Purpose of the Study:
- To develop and evaluate Nuclear Magnetic Resonance (NMR) based methods for assessing biological sample quality.
- To investigate the impact of various pre-analytical treatments on urine, blood serum, and plasma.
- To establish standardized pre-analytical procedures for metabolomics research and biobanking.
Main Methods:
- Systematic simulation of pre-analytical procedures on biological samples.
- Application of Nuclear Magnetic Resonance (NMR) spectroscopy for quality assessment.
- Analysis of urine, blood serum, and plasma samples under different conditions.
- Evaluation of long-term storage effects on sample integrity.
Main Results:
- NMR methods effectively evaluated the impact of pre-analytical variations on sample quality.
- Key findings contributed to the development of CEN technical specifications (CEN/TS 16945).
- Extended analysis confirmed the impact of sample type and long-term storage on metabolomic profiles.
Conclusions:
- Standardized pre-analytical sample handling is essential for robust metabolomics.
- NMR is a valuable tool for quality control in biological sample processing.
- The developed specifications support the advancement of metabolomics research and clinical diagnostics.
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