ArticleMetabolites2020
Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-based Metabolomics and Analysis of Sample Degradation.
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Monitoring central nervous system tumour metabolism using cerebrospinal fluid.Frontiers in oncology · 2024Review
- Quantitative NMR Methods in Metabolomics.Handbook of experimental pharmacology · 2023Article
- Metabolomic profiling of CSF and blood serum elucidates general and sex-specific patterns for mild cognitive impairment and Alzheimer's disease patients.Frontiers in aging neuroscience · 2023Article
- Stability of Metabolomic Content during Sample Preparation: Blood and Brain Tissues.Metabolites · 2022Article
- Cerebrospinal fluid metabolomics: detection of neuroinflammation in human central nervous system disease.Clinical & translational immunology · 2021Review
- Nuclear Magnetic Resonance Spectroscopy in Clinical Metabolomics and Personalized Medicine: Current Challenges and Perspectives.Frontiers in molecular biosciences · 2021Review
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Authors and funding
7 authors.
Funding
Abstract
NMR-based metabolomics investigations of human biofluids offer great potential to uncover new biomarkers. In contrast to protocols for sample collection and biobanking, procedures for sample preparation prior to NMR measurements are still heterogeneous, thus compromising the comparability of the resulting data. Herein, we present results of an investigation of the handling of cerebrospinal fluid (CSF) samples for NMR metabolomics research. Origins of commonly observed problems when conducting NMR experiments on this type of sample are addressed, and suitable experimental conditions in terms of sample preparation and pH control are discussed. Sample stability was assessed by monitoring the degradation of CSF samples by NMR, hereby identifying metabolite candidates, which are potentially affected by sample storage. A protocol was devised yielding consistent spectroscopic data as well as achieving overall sample stability for robust analysis. We present easy to adopt standard operating procedures with the aim to establish a shared sample handling strategy that facilitates and promotes inter-laboratory comparison, and the analysis of sample degradation provides new insights into sample stability.
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Registered trials
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