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Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3

Spinocerebellar ataxia 3, also known as Machado-Joseph disease (SCA3/MJD), is a rare autosomal-dominant neurodegenerative disease caused by an abnormal expansion of CAG repeats in the ATXN3 gene. In the present study, we performed a global metabolomic analysis to identify pathogenic biochemical path...

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Autores principales: Yang, Zhi-hua, Shi, Chang-he, Zhou, Li-na, Li, Yu-sheng, Yang, Jing, Liu, Yu-tao, Mao, Cheng-yuan, Luo, Hai-yang, Xu, Guo-wang, Xu, Yu-ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611058/
https://www.ncbi.nlm.nih.gov/pubmed/31316347
http://dx.doi.org/10.3389/fnmol.2019.00159
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author Yang, Zhi-hua
Shi, Chang-he
Zhou, Li-na
Li, Yu-sheng
Yang, Jing
Liu, Yu-tao
Mao, Cheng-yuan
Luo, Hai-yang
Xu, Guo-wang
Xu, Yu-ming
author_facet Yang, Zhi-hua
Shi, Chang-he
Zhou, Li-na
Li, Yu-sheng
Yang, Jing
Liu, Yu-tao
Mao, Cheng-yuan
Luo, Hai-yang
Xu, Guo-wang
Xu, Yu-ming
author_sort Yang, Zhi-hua
collection PubMed
description Spinocerebellar ataxia 3, also known as Machado-Joseph disease (SCA3/MJD), is a rare autosomal-dominant neurodegenerative disease caused by an abnormal expansion of CAG repeats in the ATXN3 gene. In the present study, we performed a global metabolomic analysis to identify pathogenic biochemical pathways and novel biomarkers implicated in SCA3 patients. Metabolic profiling of serum samples from 13 preclinical SCA3 patients, 13 symptomatic SCA3 patients, and 15 healthy controls were mapped using ultra-high-performance liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry techniques. The symptomatic SCA3 patients showed a metabolic profile significantly distinct from those of the preclinical SCA3 patients and healthy controls. The principal differential metabolites were involved in the amino acid (AA) metabolism and fatty acid metabolism pathways. In addition, four candidate serum biomarkers, FFA 16:1 (palmitoleic acid), FFA 18:3 (linolenic acid), L-Proline and L-Tryptophan, were selected to discriminate between symptomatic SCA3 patients and healthy controls by receiver operator curve analysis with an area under the curve of 0.979. Our study demonstrates that symptomatic SCA3 patients present distinct metabolic profiles with perturbed AA metabolism and fatty acid metabolism, and FFA 16:1, FFA 18:3, L-Proline and L-Tryptophan are identified as potential disease biomarkers.
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spelling pubmed-66110582019-07-17 Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3 Yang, Zhi-hua Shi, Chang-he Zhou, Li-na Li, Yu-sheng Yang, Jing Liu, Yu-tao Mao, Cheng-yuan Luo, Hai-yang Xu, Guo-wang Xu, Yu-ming Front Mol Neurosci Neuroscience Spinocerebellar ataxia 3, also known as Machado-Joseph disease (SCA3/MJD), is a rare autosomal-dominant neurodegenerative disease caused by an abnormal expansion of CAG repeats in the ATXN3 gene. In the present study, we performed a global metabolomic analysis to identify pathogenic biochemical pathways and novel biomarkers implicated in SCA3 patients. Metabolic profiling of serum samples from 13 preclinical SCA3 patients, 13 symptomatic SCA3 patients, and 15 healthy controls were mapped using ultra-high-performance liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry techniques. The symptomatic SCA3 patients showed a metabolic profile significantly distinct from those of the preclinical SCA3 patients and healthy controls. The principal differential metabolites were involved in the amino acid (AA) metabolism and fatty acid metabolism pathways. In addition, four candidate serum biomarkers, FFA 16:1 (palmitoleic acid), FFA 18:3 (linolenic acid), L-Proline and L-Tryptophan, were selected to discriminate between symptomatic SCA3 patients and healthy controls by receiver operator curve analysis with an area under the curve of 0.979. Our study demonstrates that symptomatic SCA3 patients present distinct metabolic profiles with perturbed AA metabolism and fatty acid metabolism, and FFA 16:1, FFA 18:3, L-Proline and L-Tryptophan are identified as potential disease biomarkers. Frontiers Media S.A. 2019-06-27 /pmc/articles/PMC6611058/ /pubmed/31316347 http://dx.doi.org/10.3389/fnmol.2019.00159 Text en Copyright © 2019 Yang, Shi, Zhou, Li, Yang, Liu, Mao, Luo, Xu and Xu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Yang, Zhi-hua
Shi, Chang-he
Zhou, Li-na
Li, Yu-sheng
Yang, Jing
Liu, Yu-tao
Mao, Cheng-yuan
Luo, Hai-yang
Xu, Guo-wang
Xu, Yu-ming
Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3
title Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3
title_full Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3
title_fullStr Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3
title_full_unstemmed Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3
title_short Metabolic Profiling Reveals Biochemical Pathways and Potential Biomarkers of Spinocerebellar Ataxia 3
title_sort metabolic profiling reveals biochemical pathways and potential biomarkers of spinocerebellar ataxia 3
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611058/
https://www.ncbi.nlm.nih.gov/pubmed/31316347
http://dx.doi.org/10.3389/fnmol.2019.00159
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