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  Longitudinal characterization of biomarkers for spinal muscular atrophy

Bonati, U., Holiga, Š., Hellbach, N., Risterucci, C., Bergauer, T., Tang, W., et al. (2017). Longitudinal characterization of biomarkers for spinal muscular atrophy. Annals of Clinical and Translational Neurology, 4(5), 292-304. doi:10.1002/acn3.406.

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 Urheber:
Bonati, Ulrike 1, Autor
Holiga, Štefan1, 2, Autor           
Hellbach, Nicole 1, Autor
Risterucci, Celine 1, Autor
Bergauer, Tobias 1, Autor
Tang, Wakana 1, Autor
Hafner, Patricia 1, Autor
Thoeni, Alain 1, Autor
Bieri, Oliver 1, Autor
Gerlach, Irene 1, Autor
Marque, Anne 1, Autor
Khwaja, Omar 1, Autor
Sambataro, Fabio 1, Autor
Bertolino, Alessandro 1, Autor
Dukart, Juergen 1, Autor
Fischmann, Arne 1, Autor
Fischer, Dirk 1, Autor
Czech, Christian 1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2017-02-132017-03-052017-04-112017-05
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/acn3.406
PMID: 28491897
PMC: PMC5420809
Anderer: eCollection 2017
 Art des Abschluß: -

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Förderorganisation : F. Hoffmann‐La Roche AG

Quelle 1

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Titel: Annals of Clinical and Translational Neurology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Chichester : Wiley
Seiten: - Band / Heft: 4 (5) Artikelnummer: - Start- / Endseite: 292 - 304 Identifikator: ISSN: 2328-9503
CoNE: https://pure.mpg.de/cone/journals/resource/2328-9503