Clinical relevance of single-subject brain metabolism patterns in amyotrophic lateral sclerosis mutation carriers.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2022
Historique:
received: 31 05 2022
revised: 24 09 2022
accepted: 03 10 2022
pubmed: 13 10 2022
medline: 15 12 2022
entrez: 12 10 2022
Statut: ppublish

Résumé

The ALS diagnosis requires an integrative approach, combining the clinical examination and supporting tests. Nevertheless, in several cases, the diagnosis proves to be suboptimal, and for this reason, new diagnostic methods and novel biomarkers are catching on. The We included ten ALS patients with pathogenic gene mutation who underwent a complete clinical and neuropsychological evaluation and an Classifying the patients with C9orf72-ALS based on the rate of disease progression from symptoms onset to the time of scan, we observed two different patterns of brain hypometabolism: an extensive motor and prefrontal hypometabolism in patients classified as fast progressors, and a more limited brain hypometabolism in patients grouped as slow progressors. Patients with SOD1-ALS showed a hypometabolic pattern involving the motor cortex and prefrontal association regions, with a minor involvement of the limbic regions. The patient with TBK1-ALS showed an extended hypometabolism, in limbic systems, along with typical motor involvement, while the hypometabolism in the patient with KIF5A-ALS involved almost exclusively the motor regions, supporting the predominantly motor impairment linked to this gene mutation. Additionally, we observed strong correlations between the hypometabolism in the motor, prefrontal association and limbic meta-ROI and the specific neuropsychological performances. To our knowledge, this is the first study investigating brain hypometabolism at the single-subject level in genetic ALS patients carrying different mutations. Our results show high heterogeneity in the hypometabolism maps and some commonalities in groups sharing the same mutation. Specifically, in patients with C9orf72-ALS the brain hypometabolism was larger in patients classified as fast progressors than slow progressors. In addition, in the whole group, the brain metabolism showed specific correlations with clinical and neuropsychological impairment, confirming the ability of

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
The ALS diagnosis requires an integrative approach, combining the clinical examination and supporting tests. Nevertheless, in several cases, the diagnosis proves to be suboptimal, and for this reason, new diagnostic methods and novel biomarkers are catching on. The
METHODS METHODS
We included ten ALS patients with pathogenic gene mutation who underwent a complete clinical and neuropsychological evaluation and an
RESULTS RESULTS
Classifying the patients with C9orf72-ALS based on the rate of disease progression from symptoms onset to the time of scan, we observed two different patterns of brain hypometabolism: an extensive motor and prefrontal hypometabolism in patients classified as fast progressors, and a more limited brain hypometabolism in patients grouped as slow progressors. Patients with SOD1-ALS showed a hypometabolic pattern involving the motor cortex and prefrontal association regions, with a minor involvement of the limbic regions. The patient with TBK1-ALS showed an extended hypometabolism, in limbic systems, along with typical motor involvement, while the hypometabolism in the patient with KIF5A-ALS involved almost exclusively the motor regions, supporting the predominantly motor impairment linked to this gene mutation. Additionally, we observed strong correlations between the hypometabolism in the motor, prefrontal association and limbic meta-ROI and the specific neuropsychological performances.
CONCLUSIONS CONCLUSIONS
To our knowledge, this is the first study investigating brain hypometabolism at the single-subject level in genetic ALS patients carrying different mutations. Our results show high heterogeneity in the hypometabolism maps and some commonalities in groups sharing the same mutation. Specifically, in patients with C9orf72-ALS the brain hypometabolism was larger in patients classified as fast progressors than slow progressors. In addition, in the whole group, the brain metabolism showed specific correlations with clinical and neuropsychological impairment, confirming the ability of

Identifiants

pubmed: 36223668
pii: S2213-1582(22)00287-X
doi: 10.1016/j.nicl.2022.103222
pmc: PMC9668615
pii:
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D
KIF5A protein, human 0
Kinesins EC 3.6.4.4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103222

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Giacomo Tondo (G)

Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Neurology, S. Andrea Hospital, University of Piemonte Orientale, Vercelli, Italy.

Letizia Mazzini (L)

ALS Centre, Department of Neurology, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy.

Silvia Paola Caminiti (SP)

Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Maria Francesca Sarnelli (MF)

ALS Centre, Department of Neurology, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy.

Lucia Corrado (L)

Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale, Novara, Italy.

Roberta Matheoud (R)

Department of Medical Physics, Maggiore della Carità Hospital, Novara, Italy.

Sandra D'Alfonso (S)

Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale, Novara, Italy.

Roberto Cantello (R)

ALS Centre, Department of Neurology, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy.

Gian Mauro Sacchetti (GM)

Department of Nuclear Medicine, Maggiore della Carità Hospital, Novara, Italy.

Daniela Perani (D)

Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Cristoforo Comi (C)

Department of Neurology, S. Andrea Hospital, University of Piemonte Orientale, Vercelli, Italy.

Fabiola De Marchi (F)

ALS Centre, Department of Neurology, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy. Electronic address: fabiola.demarchi@uniupo.it.

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Classifications MeSH