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Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders
PURPOSE: Untargeted metabolomic analysis is increasingly being used in the screening and management of individuals with inborn errors of metabolism (IEM). We aimed to test whether untargeted metabolomic analysis in plasma might be useful for monitoring the disease course and management of urea cycle...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650380/ https://www.ncbi.nlm.nih.gov/pubmed/30670878 http://dx.doi.org/10.1038/s41436-019-0442-0 |
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author | Burrage, Lindsay C. Thistlethwaite, Lillian Stroup, Bridget M. Sun, Qin Miller, Marcus J. Nagamani, Sandesh CS Craigen, William Scaglia, Fernando Sutton, V. Reid Graham, Brett Kennedy, Adam D. Milosavljevic, Aleksandar Lee, Brendan H. Elsea, Sarah H. |
author_facet | Burrage, Lindsay C. Thistlethwaite, Lillian Stroup, Bridget M. Sun, Qin Miller, Marcus J. Nagamani, Sandesh CS Craigen, William Scaglia, Fernando Sutton, V. Reid Graham, Brett Kennedy, Adam D. Milosavljevic, Aleksandar Lee, Brendan H. Elsea, Sarah H. |
author_sort | Burrage, Lindsay C. |
collection | PubMed |
description | PURPOSE: Untargeted metabolomic analysis is increasingly being used in the screening and management of individuals with inborn errors of metabolism (IEM). We aimed to test whether untargeted metabolomic analysis in plasma might be useful for monitoring the disease course and management of urea cycle disorders (UCDs). METHODS: Untargeted mass spectrometry-based metabolomic analysis was used to generate z-scores for more than 900 metabolites in plasma from 48 individuals with various UCDs. Pathway analysis was used to identify common pathways that were perturbed in each UCD. RESULTS: Our metabolomic analysis in plasma identified multiple potentially neurotoxic metabolites of arginine in arginase deficiency and, thus, may have utility in monitoring the efficacy of treatment in arginase deficiency. In addition, we were also able to detect multiple biochemical perturbations in all UCDs that likely reflect clinical management, including metabolite alterations secondary to dietary and medication management. CONCLUSIONS: In addition to utility in screening for IEM, our results suggest that untargeted metabolomic analysis in plasma may be beneficial for monitoring efficacy of clinical management and off-target effects of medications in UCDs and potentially other IEM. |
format | Online Article Text |
id | pubmed-6650380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-66503802019-09-06 Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders Burrage, Lindsay C. Thistlethwaite, Lillian Stroup, Bridget M. Sun, Qin Miller, Marcus J. Nagamani, Sandesh CS Craigen, William Scaglia, Fernando Sutton, V. Reid Graham, Brett Kennedy, Adam D. Milosavljevic, Aleksandar Lee, Brendan H. Elsea, Sarah H. Genet Med Article PURPOSE: Untargeted metabolomic analysis is increasingly being used in the screening and management of individuals with inborn errors of metabolism (IEM). We aimed to test whether untargeted metabolomic analysis in plasma might be useful for monitoring the disease course and management of urea cycle disorders (UCDs). METHODS: Untargeted mass spectrometry-based metabolomic analysis was used to generate z-scores for more than 900 metabolites in plasma from 48 individuals with various UCDs. Pathway analysis was used to identify common pathways that were perturbed in each UCD. RESULTS: Our metabolomic analysis in plasma identified multiple potentially neurotoxic metabolites of arginine in arginase deficiency and, thus, may have utility in monitoring the efficacy of treatment in arginase deficiency. In addition, we were also able to detect multiple biochemical perturbations in all UCDs that likely reflect clinical management, including metabolite alterations secondary to dietary and medication management. CONCLUSIONS: In addition to utility in screening for IEM, our results suggest that untargeted metabolomic analysis in plasma may be beneficial for monitoring efficacy of clinical management and off-target effects of medications in UCDs and potentially other IEM. 2019-01-23 2019-09 /pmc/articles/PMC6650380/ /pubmed/30670878 http://dx.doi.org/10.1038/s41436-019-0442-0 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Burrage, Lindsay C. Thistlethwaite, Lillian Stroup, Bridget M. Sun, Qin Miller, Marcus J. Nagamani, Sandesh CS Craigen, William Scaglia, Fernando Sutton, V. Reid Graham, Brett Kennedy, Adam D. Milosavljevic, Aleksandar Lee, Brendan H. Elsea, Sarah H. Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders |
title | Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders |
title_full | Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders |
title_fullStr | Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders |
title_full_unstemmed | Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders |
title_short | Untargeted Metabolomic Profiling Reveals Multiple Pathway Perturbations and New Clinical Biomarkers in Urea Cycle Disorders |
title_sort | untargeted metabolomic profiling reveals multiple pathway perturbations and new clinical biomarkers in urea cycle disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650380/ https://www.ncbi.nlm.nih.gov/pubmed/30670878 http://dx.doi.org/10.1038/s41436-019-0442-0 |
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