Abstract
Metabolomics has been successfully applied to study neurological and neurodegenerative disorders including Parkinson’s disease for (1) the identification of potential biomarkers of onset and disease progression; (2) the identification of novel mechanisms of disease progression; and (3) the assessment of treatment prognosis and outcome. Reproducible and efficient extraction of metabolites is imperative to the success of any metabolomics investigation. Unlike other omics techniques, the composition of the metabolome can be negatively impacted by the preparation, processing, and handling of these samples. The proper choice of data collection, preprocessing, and processing protocols is similarly important to the design of an effective metabolomics experiment. Likewise, the correct application of univariate and multivariate statistical methods is essential for providing biologically relevant insights. In this chapter, we have outlined a detailed metabolomics workflow that addresses all of these issues. A step-by-step protocol from the preparation of neuronal cells and metabolomic tissue samples to their metabolic analyses using nuclear magnetic resonance, mass spectrometry, and chemometrics is presented.
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Acknowledgments
This material is based upon work supported by the National Science Foundation under Grant Number 1660921. This work was supported in part by funding from the Redox Biology Center (P30 GM103335, NIGMS) and the Nebraska Center for Integrated Biomolecular Communication (P20 GM113126, NIGMS). The research was performed in facilities renovated with support from the National Institutes of Health (RR015468-01). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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Bhinderwala, F. et al. (2019). Metabolomics Analyses from Tissues in Parkinson’s Disease. In: Bhattacharya, S. (eds) Metabolomics. Methods in Molecular Biology, vol 1996. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9488-5_19
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