2019
DOI: 10.3390/genes10121011
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Existing and Emerging Metabolomic Tools for ALS Research

Abstract: Growing evidence suggests that aberrant energy metabolism could play an important role in the pathogenesis of amyotrophic lateral sclerosis (ALS). Despite this, studies applying advanced technologies to investigate energy metabolism in ALS remain scarce. The rapidly growing field of metabolomics offers exciting new possibilities for ALS research. Here, we review existing and emerging metabolomic tools that could be used to further investigate the role of metabolism in ALS. A better understanding of the metabol… Show more

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Cited by 11 publications
(15 citation statements)
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References 213 publications
(276 reference statements)
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“…The quantification of the metabolites differs remarkably from the techniques and strategies used. Relative and absolute quantification are complementary techniques for metabolic discovery and validation and can be attained by untarget and target strategies [ 15 ]. In addition, to achieve an efficient quantification of specific metabolites in metabolomic studies, high-throughput tools are needed [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
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“…The quantification of the metabolites differs remarkably from the techniques and strategies used. Relative and absolute quantification are complementary techniques for metabolic discovery and validation and can be attained by untarget and target strategies [ 15 ]. In addition, to achieve an efficient quantification of specific metabolites in metabolomic studies, high-throughput tools are needed [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…These are the most common strategies used in metabolomics to specific measure metabolites in a sample; however, they do not give a general idea of the metabolic flux in the biological condition analyzed. For more dynamic analysis, it is possible to combine MS or NMR with stable isotope tracing to predict the metabolic networks and pathways and, consequently, indirectly evaluate the biological effect of the metabolic changes found [ 15 , 30 , 31 , 32 ].…”
Section: Introductionmentioning
confidence: 99%
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