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Longitudinal characterization of biomarkers for spinal muscular atrophy

OBJECTIVE: Recent advances in understanding Spinal Muscular Atrophy (SMA) etiopathogenesis prompted development of potent intervention strategies and raised need for sensitive outcome measures capable of assessing disease progression and response to treatment. Several biomarkers have been proposed;...

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Autores principales: Bonati, Ulrike, Holiga, Štefan, Hellbach, Nicole, Risterucci, Céline, Bergauer, Tobias, Tang, Wakana, Hafner, Patricia, Thoeni, Alain, Bieri, Oliver, Gerlach, Irene, Marquet, Anne, Khwaja, Omar, Sambataro, Fabio, Bertolino, Alessandro, Dukart, Juergen, Fischmann, Arne, Fischer, Dirk, Czech, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5420809/
https://www.ncbi.nlm.nih.gov/pubmed/28491897
http://dx.doi.org/10.1002/acn3.406
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author Bonati, Ulrike
Holiga, Štefan
Hellbach, Nicole
Risterucci, Céline
Bergauer, Tobias
Tang, Wakana
Hafner, Patricia
Thoeni, Alain
Bieri, Oliver
Gerlach, Irene
Marquet, Anne
Khwaja, Omar
Sambataro, Fabio
Bertolino, Alessandro
Dukart, Juergen
Fischmann, Arne
Fischer, Dirk
Czech, Christian
author_facet Bonati, Ulrike
Holiga, Štefan
Hellbach, Nicole
Risterucci, Céline
Bergauer, Tobias
Tang, Wakana
Hafner, Patricia
Thoeni, Alain
Bieri, Oliver
Gerlach, Irene
Marquet, Anne
Khwaja, Omar
Sambataro, Fabio
Bertolino, Alessandro
Dukart, Juergen
Fischmann, Arne
Fischer, Dirk
Czech, Christian
author_sort Bonati, Ulrike
collection PubMed
description OBJECTIVE: Recent advances in understanding Spinal Muscular Atrophy (SMA) etiopathogenesis prompted development of potent intervention strategies and raised need for sensitive outcome measures capable of assessing disease progression and response to treatment. Several biomarkers have been proposed; nevertheless, no general consensus has been reached on the most feasible ones. We observed a wide range of measures over 1 year to assess their ability to monitor the disease status and progression. METHODS: 18 SMA patients and 19 healthy volunteers (HV) were followed in this 52‐weeks observational study. Quantitative‐MRI (qMRI) of both thighs and clinical evaluation of motor function was performed at baseline, 6, 9 and 12 months follow‐up. Blood samples were taken in patients for molecular characterization at screening, 9 and 12 month follow‐up. Progression, responsiveness and reliability of collected indices were quantified. Correlation analysis was performed to test for potential associations. RESULTS: QMRI indices, clinical scales and molecular measures showed high to excellent reliability. Significant differences were found between qMRI of SMA patients and HV. Significant associations were revealed between multiple qMRI measures and functional clinical scales. None of the qMRI, clinical, or molecular measures was able to detect significant disease progression over 1 year. INTERPRETATION: We probed a variety of quantitative measures for SMA in a slowly‐progressing disease population over 1 year. The presented measures demonstrated potential to provide a closer link to underlying disease biology as compared to conventional functional scales. The proposed biomarker framework can guide implementation of more sensitive endpoints in future clinical trials and prove their utility in search for novel disease‐modifying therapies.
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spelling pubmed-54208092017-05-10 Longitudinal characterization of biomarkers for spinal muscular atrophy Bonati, Ulrike Holiga, Štefan Hellbach, Nicole Risterucci, Céline Bergauer, Tobias Tang, Wakana Hafner, Patricia Thoeni, Alain Bieri, Oliver Gerlach, Irene Marquet, Anne Khwaja, Omar Sambataro, Fabio Bertolino, Alessandro Dukart, Juergen Fischmann, Arne Fischer, Dirk Czech, Christian Ann Clin Transl Neurol Research Articles OBJECTIVE: Recent advances in understanding Spinal Muscular Atrophy (SMA) etiopathogenesis prompted development of potent intervention strategies and raised need for sensitive outcome measures capable of assessing disease progression and response to treatment. Several biomarkers have been proposed; nevertheless, no general consensus has been reached on the most feasible ones. We observed a wide range of measures over 1 year to assess their ability to monitor the disease status and progression. METHODS: 18 SMA patients and 19 healthy volunteers (HV) were followed in this 52‐weeks observational study. Quantitative‐MRI (qMRI) of both thighs and clinical evaluation of motor function was performed at baseline, 6, 9 and 12 months follow‐up. Blood samples were taken in patients for molecular characterization at screening, 9 and 12 month follow‐up. Progression, responsiveness and reliability of collected indices were quantified. Correlation analysis was performed to test for potential associations. RESULTS: QMRI indices, clinical scales and molecular measures showed high to excellent reliability. Significant differences were found between qMRI of SMA patients and HV. Significant associations were revealed between multiple qMRI measures and functional clinical scales. None of the qMRI, clinical, or molecular measures was able to detect significant disease progression over 1 year. INTERPRETATION: We probed a variety of quantitative measures for SMA in a slowly‐progressing disease population over 1 year. The presented measures demonstrated potential to provide a closer link to underlying disease biology as compared to conventional functional scales. The proposed biomarker framework can guide implementation of more sensitive endpoints in future clinical trials and prove their utility in search for novel disease‐modifying therapies. John Wiley and Sons Inc. 2017-04-11 /pmc/articles/PMC5420809/ /pubmed/28491897 http://dx.doi.org/10.1002/acn3.406 Text en © 2017 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Bonati, Ulrike
Holiga, Štefan
Hellbach, Nicole
Risterucci, Céline
Bergauer, Tobias
Tang, Wakana
Hafner, Patricia
Thoeni, Alain
Bieri, Oliver
Gerlach, Irene
Marquet, Anne
Khwaja, Omar
Sambataro, Fabio
Bertolino, Alessandro
Dukart, Juergen
Fischmann, Arne
Fischer, Dirk
Czech, Christian
Longitudinal characterization of biomarkers for spinal muscular atrophy
title Longitudinal characterization of biomarkers for spinal muscular atrophy
title_full Longitudinal characterization of biomarkers for spinal muscular atrophy
title_fullStr Longitudinal characterization of biomarkers for spinal muscular atrophy
title_full_unstemmed Longitudinal characterization of biomarkers for spinal muscular atrophy
title_short Longitudinal characterization of biomarkers for spinal muscular atrophy
title_sort longitudinal characterization of biomarkers for spinal muscular atrophy
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5420809/
https://www.ncbi.nlm.nih.gov/pubmed/28491897
http://dx.doi.org/10.1002/acn3.406
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