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TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis
BACKGROUND AND OBJECTIVES: In the multiple sclerosis (MS) brain, chronic active lesions can be detected using MRI- and PET-based methods. In this study, we investigated whether the frequency of TSPO-PET–detectable chronic active lesions associates with disease progression measured using the Expanded...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291892/ https://www.ncbi.nlm.nih.gov/pubmed/37349108 http://dx.doi.org/10.1212/NXI.0000000000200133 |
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author | Polvinen, Eero Matilainen, Markus Nylund, Marjo Sucksdorff, Marcus Airas, Laura M. |
author_facet | Polvinen, Eero Matilainen, Markus Nylund, Marjo Sucksdorff, Marcus Airas, Laura M. |
author_sort | Polvinen, Eero |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: In the multiple sclerosis (MS) brain, chronic active lesions can be detected using MRI- and PET-based methods. In this study, we investigated whether the frequency of TSPO-PET–detectable chronic active lesions associates with disease progression measured using the Expanded Disability Status Scale (EDSS) at 5-year follow-up. METHODS: Chronic lesion–associated innate immune cell activation was evaluated using TSPO-PET in 82 patients with MS. Chronic lesions were categorized into rim-active, inactive, and overall active lesion subtypes based on innate immune cell activation patterns in the lesion core and at the 2-mm perilesional rim. Logistic regression was used to identify best predictors of progression. RESULTS: Twenty-one patients experienced disability progression during the follow-up. These patients had a significantly higher proportion of rim-active lesions (p < 0.001) and a significantly lower proportion of inactive lesions (p = 0.001) compared with nonprogressed patients. The results were similar in the patient group having no relapses during the follow-up (60 patients, 14 experienced progression). In logistic regression modeling, the categorized variable “patients with >10% rim-active lesions and ≤50% inactive lesions of all chronic lesions” predicted disease progression in the entire cohort (OR = 26.8, p < 0.001) and in the group free of relapses (OR = 34.8, p = 0.002). DISCUSSION: The results show that single TSPO-PET–based in vivo lesion phenotyping of chronic MS lesions provides a strong predictor for MS disease progression. This emphasizes the significance of chronic active lesions in disability accumulation in MS. |
format | Online Article Text |
id | pubmed-10291892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102918922023-06-27 TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis Polvinen, Eero Matilainen, Markus Nylund, Marjo Sucksdorff, Marcus Airas, Laura M. Neurol Neuroimmunol Neuroinflamm Research Article BACKGROUND AND OBJECTIVES: In the multiple sclerosis (MS) brain, chronic active lesions can be detected using MRI- and PET-based methods. In this study, we investigated whether the frequency of TSPO-PET–detectable chronic active lesions associates with disease progression measured using the Expanded Disability Status Scale (EDSS) at 5-year follow-up. METHODS: Chronic lesion–associated innate immune cell activation was evaluated using TSPO-PET in 82 patients with MS. Chronic lesions were categorized into rim-active, inactive, and overall active lesion subtypes based on innate immune cell activation patterns in the lesion core and at the 2-mm perilesional rim. Logistic regression was used to identify best predictors of progression. RESULTS: Twenty-one patients experienced disability progression during the follow-up. These patients had a significantly higher proportion of rim-active lesions (p < 0.001) and a significantly lower proportion of inactive lesions (p = 0.001) compared with nonprogressed patients. The results were similar in the patient group having no relapses during the follow-up (60 patients, 14 experienced progression). In logistic regression modeling, the categorized variable “patients with >10% rim-active lesions and ≤50% inactive lesions of all chronic lesions” predicted disease progression in the entire cohort (OR = 26.8, p < 0.001) and in the group free of relapses (OR = 34.8, p = 0.002). DISCUSSION: The results show that single TSPO-PET–based in vivo lesion phenotyping of chronic MS lesions provides a strong predictor for MS disease progression. This emphasizes the significance of chronic active lesions in disability accumulation in MS. Lippincott Williams & Wilkins 2023-06-22 /pmc/articles/PMC10291892/ /pubmed/37349108 http://dx.doi.org/10.1212/NXI.0000000000200133 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Research Article Polvinen, Eero Matilainen, Markus Nylund, Marjo Sucksdorff, Marcus Airas, Laura M. TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis |
title | TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis |
title_full | TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis |
title_fullStr | TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis |
title_full_unstemmed | TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis |
title_short | TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis |
title_sort | tspo-detectable chronic active lesions predict disease progression in multiple sclerosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291892/ https://www.ncbi.nlm.nih.gov/pubmed/37349108 http://dx.doi.org/10.1212/NXI.0000000000200133 |
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