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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;...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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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. |
format | Online Article Text |
id | pubmed-5420809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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