Longitudinal EEG model detects antisense oligonucleotide treatment effect and increased UBE3A in Angelman syndrome

被引:9
|
作者
Spencer, Elizabeth R. [1 ,2 ]
Shi, Wen [2 ,3 ]
Komorowski, Robert W. [4 ]
Gilbert, James P. [4 ]
Ostrowski, Lauren M. [2 ,5 ]
Bird, Lynne M. [6 ]
Thibert, Ronald [2 ,3 ]
Bao, Channa [4 ]
Molloy, Fiona [4 ]
Calhoun, Michael [4 ]
Koirala, Samir [4 ]
Jafar-nejad, Paymaan [7 ]
Rigo, Frank [7 ]
Kramer, Mark A. [1 ]
Chu, Catherine J. [2 ,3 ]
机构
[1] Boston Univ, Dept Math & Stat, Boston, MA 02215 USA
[2] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA
[3] Harvard Med Sch, Boston, MA 02115 USA
[4] Biogen Inc, Cambridge, MA 02142 USA
[5] Univ Calif San Diego, Sch Med, San Diego, CA 92092 USA
[6] Univ Calif San Diego, Dept Pediat, San Diego, CA 92093 USA
[7] Ionis Pharmaceut, Carlsbad, CA 92010 USA
基金
美国国家科学基金会;
关键词
Angelman syndrome; antisense oligonucleotide; biomarkers; EEG; UBE3A;
D O I
10.1093/braincomms/fcac106
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Deviations in delta power from a human natural history model in Angelman syndrome can detect antisense oligonucleotide-mediated improvement in Ube3a expression in Angelman syndrome mice and may be relevant for human clinical trials. Angelman syndrome is a neurodevelopmental disorder caused by deficiency of the maternally inherited UBE3A gene in neurons. Antisense oligonucleotide therapies are under development to reinstate UBE3A protein production. Non-invasive biomarkers to detect target engagement and treatment response are needed to support clinical trials. Delta power measured in the scalp EEG is a reliable biomarker for Angelman syndrome but varies widely across individuals and throughout development, making detection of a treatment effect using single measurements challenging. We utilized a longitudinal dataset of 204 EEG recordings from 56 subjects with Angelman syndrome to develop a natural history model of delta (2-4 Hz) power, with predictors of age, elapsed time, and relative delta power at an initial recording. Using this model, we computed the sample and effect sizes needed to detect a treatment effect in a human clinical trial with 80% power. We applied the same model structure to a mouse model of Angelman syndrome (n = 41) to detect antisense oligonucleotide-mediated treatment effects on absolute delta activity and Ube3a expression. In humans, delta power at a second time point can be reliably predicted using the natural history model. In mice, a treatment effect can be detected after antisense oligonucleotide treatment targeting the Ube3a-antisense transcript through at least 8 weeks post-treatment (P < 1e-15). Deviations in delta power from the expected natural history correlated with Ube3a expression in the mouse model (P < 0.001). Deviations in delta power from a human natural history model in Angelman syndrome can detect antisense oligonucleotide-mediated improvement in Ube3a expression in Angelman syndrome mice and may be relevant for human clinical trials.
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页数:14
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