Abstract
Introduction
Amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD) are two severe neurodegenerative disorders for which the disease mechanisms are poorly understood and reliable biomarkers are absent.
Objectives
To identify metabolite biomarkers for ALS and PD, and to gain insights into which metabolic pathways are involved in disease.
Methods
Nuclear magnetic resonance (NMR) metabolomics was utilized to characterize the metabolite profiles of cerebrospinal fluid (CSF) and plasma from individuals in three age, gender, and sampling-date matched groups, comprising 22 ALS, 22 PD and 28 control subjects.
Results
Multivariate analysis of NMR data generated robust discriminatory models for separation of ALS from control subjects. ALS patients showed increased concentrations of several metabolites in both CSF and plasma, these are alanine (CSF fold change = 1.22, p = 0.005), creatine (CSF-fc = 1.17, p = 0.001), glucose (CSF-fc = 1.11, p = 0.036), isoleucine (CSF-fc = 1.24, p = 0.002), and valine (CSF-fc = 1.17, p = 0.014). Additional metabolites in CSF (creatinine, dimethylamine and lactic acid) and plasma (acetic acid, glutamic acid, histidine, leucine, pyruvate and tyrosine) were also important for this discrimination. Similarly, panels of CSF-metabolites that discriminate PD from ALS and control subjects were identified.
Conclusions
The results for the ALS patients suggest an affected creatine/creatinine pathway and an altered branched chain amino acid (BCAA) metabolism, and suggest links to glucose and energy metabolism. Putative metabolic markers specific for ALS (e.g. creatinine and lactic acid) and PD (e.g. 3-hydroxyisovaleric acid and mannose) were identified, while several (e.g. creatine and BCAAs) were shared between ALS and PD, suggesting some overlap in metabolic alterations in these disorders.
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Abbreviations
- ALS:
-
Amyotrophic lateral sclerosis
- PD:
-
Parkinson’s disease
- NMR:
-
Nuclear magnetic resonance
- MS:
-
Mass spectrometry
- EDTA:
-
Ethylenediaminetetraacetic acid
- CSF:
-
Cerebrospinal fluid
- CPMG:
-
Carr-Purcell-Meiboom-Gill
- PCA:
-
Principal component analysis
- OPLS:
-
Orthogonal projection to latent structures
- DA:
-
Discriminant analysis
- EP:
-
Effect projection
- CV-ANOVA:
-
Analysis of variance testing of cross-validated predictive residuals
- CNS:
-
Central nervous system
- BCAA:
-
Branched chain amino acids
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Acknowledgments
We are indebted to the patients who contributed to this study. We are grateful to the Erling-Persson Family Foundation, the Kempe Foundation and Umeå University for support. Dr. Junfang Wu is grateful for a post-doctoral fellowship from the Kempe foundation. Dr. Anna Wuolikainen, Dr. Miles Trupp, Dr. Pär Jonsson and Dr. Anders Öhman are supported by grants from the Erling-Persson Family Foundation. Dr. Peter Andersen has received grants from the Swedish Research Council, the Knut and Alice Wallenberg Foundation, The Bertil Hållsten Brain Research Foundation, The Brain Research Foundation, Swedish Brain Power Consortium, The Ulla-Carin Lindquist Foundation and Neuroförbundet. Dr. Lars Forsgren has received grants from The Swedish Medical Research Council, The Swedish Parkinson Foundation, The Swedish Parkinson’s disease Association, Västerbotten County Council (ALF), and the King Gustaf V’s and Queen Victoria’s Freemason Foundation. Dr. Anders Öhman has received grants from the Parkinson Foundation in Sweden and Insamlingsstiftelsen at Umeå University.
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Wu, J., Wuolikainen, A., Trupp, M. et al. NMR analysis of the CSF and plasma metabolome of rigorously matched amyotrophic lateral sclerosis, Parkinson’s disease and control subjects. Metabolomics 12, 101 (2016). https://doi.org/10.1007/s11306-016-1041-6
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DOI: https://doi.org/10.1007/s11306-016-1041-6