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Proton magnetic resonance spectroscopy in frontotemporal lobar degeneration-related syndromes
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In: Neurobiol Aging (2022)
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool. ...
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool ...
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Proton magnetic resonance spectroscopy in frontotemporal lobar degeneration-related syndromes ...
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool
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In: Front Aging Neurosci (2021)
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Metabolomic changes associated with frontotemporal lobar degeneration syndromes
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool
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Language Disorder in Progressive Supranuclear Palsy and Corticobasal Syndrome: Neural Correlates and Detection by the MLSE Screening Tool.
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In: essn: 1663-4365 ; nlmid: 101525824 (2021)
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Metabolomic changes associated with frontotemporal lobar degeneration syndromes ...
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Metabolomic changes associated with frontotemporal lobar degeneration syndromes ...
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Metabolomic changes associated with frontotemporal lobar degeneration syndromes
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Redefining the multidimensional clinical phenotypes of frontotemporal lobar degeneration syndromes
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In: Brain (2020)
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Metabolomic changes associated with frontotemporal lobar degeneration syndromes
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In: J Neurol (2020)
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Abstract:
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.
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Keyword:
Original Communication
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URL: http://www.ncbi.nlm.nih.gov/pubmed/32277260 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359154/ https://doi.org/10.1007/s00415-020-09824-1
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[18F]AV-1451 binding in vivo mirrors the expected distribution of TDP-43 pathology in the semantic variant of primary progressive aphasia
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Artificial grammar learning in vascular and progressive non-fluent aphasias
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The Effect of Aging on the Neural Correlates of Phonological Word Retrieval
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A comparison of VLSM and VBM in a cohort of patients with post-stroke aphasia☆
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The neural correlates of inner speech defined by voxel-based lesion-symptom mapping
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The neural correlates of inner speech defined by voxel-based lesion–symptom mapping
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