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Metabolomic changes associated with frontotemporal lobar degeneration syndromes
OBJECTIVE: Widespread metabolic changes are seen in neurodegenerative disease and could be used as biomarkers for diagnosis and disease monitoring. They may also reveal disease mechanisms that could be a target for therapy. In this study we looked for blood-based biomarkers in syndromes associated w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359154/ https://www.ncbi.nlm.nih.gov/pubmed/32277260 http://dx.doi.org/10.1007/s00415-020-09824-1 |
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author | Murley, Alexander G. Jones, P. Simon Coyle Gilchrist, Ian Bowns, Lucy Wiggins, Julie Tsvetanov, Kamen A. Rowe, James B. |
author_facet | Murley, Alexander G. Jones, P. Simon Coyle Gilchrist, Ian Bowns, Lucy Wiggins, Julie Tsvetanov, Kamen A. Rowe, James B. |
author_sort | Murley, Alexander G. |
collection | PubMed |
description | OBJECTIVE: Widespread metabolic changes are seen in neurodegenerative disease and could be used as biomarkers for diagnosis and disease monitoring. They may also reveal disease mechanisms that could be a target for therapy. In this study we looked for blood-based biomarkers in syndromes associated with frontotemporal lobar degeneration. METHODS: Plasma metabolomic profiles were measured from 134 patients with a syndrome associated with frontotemporal lobar degeneration (behavioural variant frontotemporal dementia n = 30, non fluent variant primary progressive aphasia n = 26, progressive supranuclear palsy n = 45, corticobasal syndrome n = 33) and 32 healthy controls. RESULTS: Forty-nine of 842 metabolites were significantly altered in frontotemporal lobar degeneration syndromes (after false-discovery rate correction for multiple comparisons). These were distributed across a wide range of metabolic pathways including amino acids, energy and carbohydrate, cofactor and vitamin, lipid and nucleotide pathways. The metabolomic profile supported classification between frontotemporal lobar degeneration syndromes and controls with high accuracy (88.1–96.6%) while classification accuracy was lower between the frontotemporal lobar degeneration syndromes (72.1–83.3%). One metabolic profile, comprising a range of different pathways, was consistently identified as a feature of each disease versus controls: the degree to which a patient expressed this metabolomic profile was associated with their subsequent survival (hazard ratio 0.74 [0.59–0.93], p = 0.0018). CONCLUSIONS: The metabolic changes in FTLD are promising diagnostic and prognostic biomarkers. Further work is required to replicate these findings, examine longitudinal change, and test their utility in differentiating between FTLD syndromes that are pathologically distinct but phenotypically similar. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00415-020-09824-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7359154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-73591542020-07-16 Metabolomic changes associated with frontotemporal lobar degeneration syndromes Murley, Alexander G. Jones, P. Simon Coyle Gilchrist, Ian Bowns, Lucy Wiggins, Julie Tsvetanov, Kamen A. Rowe, James B. J Neurol Original Communication OBJECTIVE: Widespread metabolic changes are seen in neurodegenerative disease and could be used as biomarkers for diagnosis and disease monitoring. They may also reveal disease mechanisms that could be a target for therapy. In this study we looked for blood-based biomarkers in syndromes associated with frontotemporal lobar degeneration. METHODS: Plasma metabolomic profiles were measured from 134 patients with a syndrome associated with frontotemporal lobar degeneration (behavioural variant frontotemporal dementia n = 30, non fluent variant primary progressive aphasia n = 26, progressive supranuclear palsy n = 45, corticobasal syndrome n = 33) and 32 healthy controls. RESULTS: Forty-nine of 842 metabolites were significantly altered in frontotemporal lobar degeneration syndromes (after false-discovery rate correction for multiple comparisons). These were distributed across a wide range of metabolic pathways including amino acids, energy and carbohydrate, cofactor and vitamin, lipid and nucleotide pathways. The metabolomic profile supported classification between frontotemporal lobar degeneration syndromes and controls with high accuracy (88.1–96.6%) while classification accuracy was lower between the frontotemporal lobar degeneration syndromes (72.1–83.3%). One metabolic profile, comprising a range of different pathways, was consistently identified as a feature of each disease versus controls: the degree to which a patient expressed this metabolomic profile was associated with their subsequent survival (hazard ratio 0.74 [0.59–0.93], p = 0.0018). CONCLUSIONS: The metabolic changes in FTLD are promising diagnostic and prognostic biomarkers. Further work is required to replicate these findings, examine longitudinal change, and test their utility in differentiating between FTLD syndromes that are pathologically distinct but phenotypically similar. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00415-020-09824-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-04-10 2020 /pmc/articles/PMC7359154/ /pubmed/32277260 http://dx.doi.org/10.1007/s00415-020-09824-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Communication Murley, Alexander G. Jones, P. Simon Coyle Gilchrist, Ian Bowns, Lucy Wiggins, Julie Tsvetanov, Kamen A. Rowe, James B. Metabolomic changes associated with frontotemporal lobar degeneration syndromes |
title | Metabolomic changes associated with frontotemporal lobar degeneration syndromes |
title_full | Metabolomic changes associated with frontotemporal lobar degeneration syndromes |
title_fullStr | Metabolomic changes associated with frontotemporal lobar degeneration syndromes |
title_full_unstemmed | Metabolomic changes associated with frontotemporal lobar degeneration syndromes |
title_short | Metabolomic changes associated with frontotemporal lobar degeneration syndromes |
title_sort | metabolomic changes associated with frontotemporal lobar degeneration syndromes |
topic | Original Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359154/ https://www.ncbi.nlm.nih.gov/pubmed/32277260 http://dx.doi.org/10.1007/s00415-020-09824-1 |
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