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Published on: October 25, 2019
Alterations in Human Liver Metabolome during Prolonged Cryostorage
Peter M Abuja1, Friederike Ehrhart2, Uwe Schoen2
1†Institute of Pathology, Medical University of Graz, Austria Auenbruggerplatz 25, A-8036 Graz, Austria.
Biobanking protocols significantly impact liver tissue metabolomics. Repeated temperature fluctuations, not storage temperature, cause minor metabolite changes, crucial for preserving sample integrity.
Area of Science:
- Metabolomics
- Biobanking
- Biochemistry
Background:
- High-quality tissue samples are essential for accurate metabolomics.
- Biobanking storage protocols critically influence sample integrity.
- Realistic storage conditions must be evaluated to ensure reliable metabolomic data.
Purpose of the Study:
- To systematically analyze the impact of realistic biobanking storage scenarios on the liver metabolome.
- To investigate the effects of different storage temperatures and repeated freeze-thaw cycles on metabolite concentrations.
- To provide recommendations for optimized biobanking protocols in metabolomics.
Main Methods:
- Simulated long-term biobanking storage (3 months to 10 years) with repeated temperature cycling between storage (-80 °C, liquid nitrogen, cold nitrogen gas) and retrieval (room temperature, -80 °C).
- Analysis of liver tissue metabolome using liquid chromatography/mass spectrometry (LC/MS).
- Quantification of metabolite concentration changes under various simulated storage conditions.
Main Results:
- Most metabolite concentrations showed less than 5% change during the first simulated year, primarily due to peptide and lipid hydrolysis.
- Storage temperature had a minimal effect on metabolite concentrations, whereas the number of temperature change cycles showed a linear correlation with metabolite alterations.
- Elevated sample temperature during prolonged retrieval periods induced distinct metabolite changes.
Conclusions:
- Repeated temperature fluctuations during biobanking pose a greater risk to liver tissue metabolome integrity than storage temperature alone.
- Optimized biobanking protocols should minimize temperature excursions during sample retrieval and handling.
- Metabolomic signatures of temperature cycling can be used to detect deviations from established storage protocols.
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