Literature DB >> 26883206

Multi-platform mass spectrometry analysis of the CSF and plasma metabolomes of rigorously matched amyotrophic lateral sclerosis, Parkinson's disease and control subjects.

Anna Wuolikainen1, Pär Jonsson, Maria Ahnlund, Henrik Antti, Stefan L Marklund, Thomas Moritz, Lars Forsgren, Peter M Andersen, Miles Trupp.   

Abstract

Amyotrophic lateral sclerosis (ALS) and Parkinson's disease (PD) are protein-aggregation diseases that lack clear molecular etiologies. Biomarkers could aid in diagnosis, prognosis, planning of care, drug target identification and stratification of patients into clinical trials. We sought to characterize shared and unique metabolite perturbations between ALS and PD and matched controls selected from patients with other diagnoses, including differential diagnoses to ALS or PD that visited our clinic for a lumbar puncture. Cerebrospinal fluid (CSF) and plasma from rigorously age-, sex- and sampling-date matched patients were analyzed on multiple platforms using gas chromatography (GC) and liquid chromatography (LC)-mass spectrometry (MS). We applied constrained randomization of run orders and orthogonal partial least squares projection to latent structure-effect projections (OPLS-EP) to capitalize upon the study design. The combined platforms identified 144 CSF and 196 plasma metabolites with diverse molecular properties. Creatine was found to be increased and creatinine decreased in CSF of ALS patients compared to matched controls. Glucose was increased in CSF of ALS patients and α-hydroxybutyrate was increased in CSF and plasma of ALS patients compared to matched controls. Leucine, isoleucine and ketoleucine were increased in CSF of both ALS and PD. Together, these studies, in conjunction with earlier studies, suggest alterations in energy utilization pathways and have identified and further validated perturbed metabolites to be used in panels of biomarkers for the diagnosis of ALS and PD.

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Year:  2016        PMID: 26883206     DOI: 10.1039/c5mb00711a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  48 in total

1.  A comprehensive protocol for multiplatform metabolomics analysis in patient-derived skin fibroblasts.

Authors:  Jordan Wilkins; Dhananjay Sakrikar; Xuan-Mai Petterson; Ian R Lanza; Eugenia Trushina
Journal:  Metabolomics       Date:  2019-05-23       Impact factor: 4.290

2.  Metabolite profiling of obese individuals before and after a one year weight loss program.

Authors:  N Geidenstam; M Al-Majdoub; M Ekman; P Spégel; M Ridderstråle
Journal:  Int J Obes (Lond)       Date:  2017-05-22       Impact factor: 5.095

Review 3.  Fluid-Based Biomarkers for Amyotrophic Lateral Sclerosis.

Authors:  Lucas T Vu; Robert Bowser
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

Review 4.  Review of Metabolomics-Based Biomarker Research for Parkinson's Disease.

Authors:  Xin Li; Xiaoying Fan; Hongtian Yang; Yufeng Liu
Journal:  Mol Neurobiol       Date:  2021-11-26       Impact factor: 5.590

5.  Metabolic Dysregulation in Amyotrophic Lateral Sclerosis: Challenges and Opportunities.

Authors:  Archi Joardar; Ernesto Manzo; Daniela C Zarnescu
Journal:  Curr Genet Med Rep       Date:  2017-04-28

6.  Metabolite Profiling Reveals Predictive Biomarkers and the Absence of β-Methyl Amino-l-alanine in Plasma from Individuals Diagnosed with Amyotrophic Lateral Sclerosis.

Authors:  Michael S Bereman; Kaylie I Kirkwood; Tharani Sabaretnam; Sarah Furlong; Dominic B Rowe; Gilles J Guillemin; Allyson L Mellinger; David C Muddiman
Journal:  J Proteome Res       Date:  2020-06-02       Impact factor: 4.466

7.  Prediagnostic plasma branched-chain amino acids and the risk of amyotrophic lateral sclerosis.

Authors:  Kjetil Bjornevik; Éilis J O'Reilly; James D Berry; Clary B Clish; Sarah Jeanfavre; Ikuko Kato; Laurence N Kolonel; Loic Le Marchand; Marjorie L McCullough; Sabrina Paganoni; Michael A Schwarzschild; Evelyn O Talbott; Robert B Wallace; Zhongli Zhang; JoAnn E Manson; Alberto Ascherio
Journal:  Neurology       Date:  2018-11-14       Impact factor: 9.910

Review 8.  An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders.

Authors:  Nicholas J Ashton; Abdul Hye; Anto P Rajkumar; Antoine Leuzy; Stuart Snowden; Marc Suárez-Calvet; Thomas K Karikari; Michael Schöll; Renaud La Joie; Gil D Rabinovici; Kina Höglund; Clive Ballard; Tibor Hortobágyi; Per Svenningsson; Kaj Blennow; Henrik Zetterberg; Dag Aarsland
Journal:  Nat Rev Neurol       Date:  2020-04-22       Impact factor: 42.937

9.  1H NMR metabolomic profiling of human cerebrospinal fluid in aging process.

Authors:  Huan-Tang Lin; Mei-Ling Cheng; Chi-Jen Lo; Wen-Chuin Hsu; Gigin Lin; Fu-Chao Liu
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

Review 10.  Alpha-Synuclein as a Biomarker of Parkinson's Disease: Good, but Not Good Enough.

Authors:  Upasana Ganguly; Sukhpal Singh; Soumya Pal; Suvarna Prasad; Bimal K Agrawal; Reena V Saini; Sasanka Chakrabarti
Journal:  Front Aging Neurosci       Date:  2021-07-08       Impact factor: 5.750

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