Cargando…

Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes

Parkinson’s disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP) are characterized by nigrostriatal degeneration. We used [(18)F]FDG PET to assess glucose metabolism of the substantia nigra (SN) in patients with these diseases and evaluated its ability to discriminat...

Descripción completa

Detalles Bibliográficos
Autores principales: Schröter, Nils, Blazhenets, Ganna, Frings, Lars, Jost, Wolfgang H., Weiller, Cornelius, Rijntjes, Michel, Meyer, Philipp T., Brumberg, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519554/
https://www.ncbi.nlm.nih.gov/pubmed/36171206
http://dx.doi.org/10.1038/s41531-022-00392-x
_version_ 1784799426189983744
author Schröter, Nils
Blazhenets, Ganna
Frings, Lars
Jost, Wolfgang H.
Weiller, Cornelius
Rijntjes, Michel
Meyer, Philipp T.
Brumberg, Joachim
author_facet Schröter, Nils
Blazhenets, Ganna
Frings, Lars
Jost, Wolfgang H.
Weiller, Cornelius
Rijntjes, Michel
Meyer, Philipp T.
Brumberg, Joachim
author_sort Schröter, Nils
collection PubMed
description Parkinson’s disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP) are characterized by nigrostriatal degeneration. We used [(18)F]FDG PET to assess glucose metabolism of the substantia nigra (SN) in patients with these diseases and evaluated its ability to discriminate neurodegenerative parkinsonian syndromes (NP) from controls. We retrospectively evaluated [(18)F]FDG PET scans of 171 patients with NP (n = 115 PD, n = 35 MSA, n = 21 PSP) and 48 controls (13 healthy controls [HC] and 35 control patients). Mean normalized bilateral [(18)F]FDG uptake in the SN was calculated and compared between groups with covariance and receiver operating characteristic (ROC) analyses (selection of the optimal cut-off required a minimum specificity of 90% to meet the clinical need of a confirmatory test). PD patients were additionally stratified by the expression of the well-established PD-related metabolic pattern (PDRP; elevated expression defined as 2 standard deviations above the mean value of HC). [(18)F]FDG uptake was significantly lower in NP (Cohen’s d = 1.09, p < 0.001) and its subgroups (PD, d = 1.10, p < 0.001; MSA, d = 0.97, p < 0.001; PSP, d = 1.79, p < 0.001) than in controls. ROC analysis for discriminating NP vs. controls revealed an area under the curve of 0.81 and a sensitivity and specificity of 56 and 92%. Moreover, nigral metabolism was below the cut-off in 60% of PD patients without elevated PDRP expression. Glucose metabolism of the SN can distinguish patients with NP from controls with good diagnostic accuracy and can be used as a marker of nigral degeneration. Its evaluation is particularly valuable in PD patients without elevated PDRP expression and may thus help to narrow the diagnostic gap of [(18)F]FDG PET in neurodegenerative parkinsonism (i.e., identification of patients with PD without cortical involvement).
format Online
Article
Text
id pubmed-9519554
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-95195542022-09-30 Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes Schröter, Nils Blazhenets, Ganna Frings, Lars Jost, Wolfgang H. Weiller, Cornelius Rijntjes, Michel Meyer, Philipp T. Brumberg, Joachim NPJ Parkinsons Dis Article Parkinson’s disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP) are characterized by nigrostriatal degeneration. We used [(18)F]FDG PET to assess glucose metabolism of the substantia nigra (SN) in patients with these diseases and evaluated its ability to discriminate neurodegenerative parkinsonian syndromes (NP) from controls. We retrospectively evaluated [(18)F]FDG PET scans of 171 patients with NP (n = 115 PD, n = 35 MSA, n = 21 PSP) and 48 controls (13 healthy controls [HC] and 35 control patients). Mean normalized bilateral [(18)F]FDG uptake in the SN was calculated and compared between groups with covariance and receiver operating characteristic (ROC) analyses (selection of the optimal cut-off required a minimum specificity of 90% to meet the clinical need of a confirmatory test). PD patients were additionally stratified by the expression of the well-established PD-related metabolic pattern (PDRP; elevated expression defined as 2 standard deviations above the mean value of HC). [(18)F]FDG uptake was significantly lower in NP (Cohen’s d = 1.09, p < 0.001) and its subgroups (PD, d = 1.10, p < 0.001; MSA, d = 0.97, p < 0.001; PSP, d = 1.79, p < 0.001) than in controls. ROC analysis for discriminating NP vs. controls revealed an area under the curve of 0.81 and a sensitivity and specificity of 56 and 92%. Moreover, nigral metabolism was below the cut-off in 60% of PD patients without elevated PDRP expression. Glucose metabolism of the SN can distinguish patients with NP from controls with good diagnostic accuracy and can be used as a marker of nigral degeneration. Its evaluation is particularly valuable in PD patients without elevated PDRP expression and may thus help to narrow the diagnostic gap of [(18)F]FDG PET in neurodegenerative parkinsonism (i.e., identification of patients with PD without cortical involvement). Nature Publishing Group UK 2022-09-29 /pmc/articles/PMC9519554/ /pubmed/36171206 http://dx.doi.org/10.1038/s41531-022-00392-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Schröter, Nils
Blazhenets, Ganna
Frings, Lars
Jost, Wolfgang H.
Weiller, Cornelius
Rijntjes, Michel
Meyer, Philipp T.
Brumberg, Joachim
Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
title Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
title_full Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
title_fullStr Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
title_full_unstemmed Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
title_short Nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
title_sort nigral glucose metabolism as a diagnostic marker of neurodegenerative parkinsonian syndromes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519554/
https://www.ncbi.nlm.nih.gov/pubmed/36171206
http://dx.doi.org/10.1038/s41531-022-00392-x
work_keys_str_mv AT schroternils nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT blazhenetsganna nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT fringslars nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT jostwolfgangh nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT weillercornelius nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT rijntjesmichel nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT meyerphilippt nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes
AT brumbergjoachim nigralglucosemetabolismasadiagnosticmarkerofneurodegenerativeparkinsoniansyndromes