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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
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.
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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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