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NMR analysis of the CSF and plasma metabolome of rigorously matched amyotrophic lateral sclerosis, Parkinson’s disease and control subjects

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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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This study was carried out in accordance with the Declaration of Helsinki (WMA 1964), with ethical approval from the Medical Ethical Review Board for northern Sweden, Umeå, Sweden.

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Written informed consent was obtained from all subjects.

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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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