Literature DB >> 30826071

Electrophysiological Phenotype in Angelman Syndrome Differs Between Genotypes.

Joel Frohlich1, Meghan T Miller2, Lynne M Bird3, Pilar Garces2, Hannah Purtell4, Marius C Hoener2, Benjamin D Philpot5, Michael S Sidorov5, Wen-Hann Tan6, Maria-Clemencia Hernandez2, Alexander Rotenberg4, Shafali S Jeste7, Michelle Krishnan2, Omar Khwaja2, Joerg F Hipp8.   

Abstract

BACKGROUND: Angelman syndrome (AS) is a severe neurodevelopmental disorder caused by either disruptions of the gene UBE3A or deletion of chromosome 15 at 15q11-q13, which encompasses UBE3A and several other genes, including GABRB3, GABRA5, GABRG3, encoding gamma-aminobutyric acid type A receptor subunits (β3, α5, γ3). Individuals with deletions are generally more impaired than those with other genotypes, but the underlying pathophysiology remains largely unknown. Here, we used electroencephalography (EEG) to test the hypothesis that genes other than UBE3A located on 15q11-q13 cause differences in pathophysiology between AS genotypes.
METHODS: We compared spectral power of clinical EEG recordings from children (1-18 years of age) with a deletion genotype (n = 37) or a nondeletion genotype (n = 21) and typically developing children without Angelman syndrome (n = 48).
RESULTS: We found elevated theta power (peak frequency: 5.3 Hz) and diminished beta power (peak frequency: 23 Hz) in the deletion genotype compared with the nondeletion genotype as well as excess broadband EEG power (1-32 Hz) peaking in the delta frequency range (peak frequency: 2.8 Hz), shared by both genotypes but stronger for the deletion genotype at younger ages.
CONCLUSIONS: Our results provide strong evidence for the contribution of non-UBE3A neuronal pathophysiology in deletion AS and suggest that hemizygosity of the GABRB3-GABRA5-GABRG3 gene cluster causes abnormal theta and beta EEG oscillations that may underlie the more severe clinical phenotype. Our work improves the understanding of AS pathophysiology and has direct implications for the development of AS treatments and biomarkers.
Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Angelman syndrome; Biomarkers; EEG; GABA; GABRB3-GABRA5-GABRG3 gene cluster; UBE3A

Mesh:

Year:  2019        PMID: 30826071      PMCID: PMC6482952          DOI: 10.1016/j.biopsych.2019.01.008

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  57 in total

1.  Angelman syndrome: correlations between epilepsy phenotypes and genotypes.

Authors:  B A Minassian; T M DeLorey; R W Olsen; M Philippart; Y Bronstein; Q Zhang; R Guerrini; P Van Ness; M O Livet; A V Delgado-Escueta
Journal:  Ann Neurol       Date:  1998-04       Impact factor: 10.422

2.  Oscillatory gamma-band (30-70 Hz) activity induced by a visual search task in humans.

Authors:  C Tallon-Baudry; O Bertrand; C Delpuech; J Permier
Journal:  J Neurosci       Date:  1997-01-15       Impact factor: 6.167

3.  Development of the EEG from 5 months to 4 years of age.

Authors:  Peter J Marshall; Yair Bar-Haim; Nathan A Fox
Journal:  Clin Neurophysiol       Date:  2002-08       Impact factor: 3.708

4.  Angelman syndrome in Denmark. birth incidence, genetic findings, and age at diagnosis.

Authors:  Line Granild Bie Mertz; Rikke Christensen; Ida Vogel; Jens Michael Hertz; Karen Brøndum Nielsen; Karen Grønskov; John R Østergaard
Journal:  Am J Med Genet A       Date:  2013-08-02       Impact factor: 2.802

5.  Mice lacking the beta3 subunit of the GABAA receptor have the epilepsy phenotype and many of the behavioral characteristics of Angelman syndrome.

Authors:  T M DeLorey; A Handforth; S G Anagnostaras; G E Homanics; B A Minassian; A Asatourian; M S Fanselow; A Delgado-Escueta; G D Ellison; R W Olsen
Journal:  J Neurosci       Date:  1998-10-15       Impact factor: 6.167

Review 6.  Angelman syndrome: a review of the clinical and genetic aspects.

Authors:  J Clayton-Smith; L Laan
Journal:  J Med Genet       Date:  2003-02       Impact factor: 6.318

7.  Angelman syndrome: consensus for diagnostic criteria. Angelman Syndrome Foundation.

Authors:  C A Williams; H Angelman; J Clayton-Smith; D J Driscoll; J E Hendrickson; J H Knoll; R E Magenis; A Schinzel; J Wagstaff; E M Whidden
Journal:  Am J Med Genet       Date:  1995-03-27

Review 8.  Angelman syndrome: review of clinical and molecular aspects.

Authors:  Lynne M Bird
Journal:  Appl Clin Genet       Date:  2014-05-16

9.  A Quantitative Electrophysiological Biomarker of Duplication 15q11.2-q13.1 Syndrome.

Authors:  Joel Frohlich; Damla Senturk; Vidya Saravanapandian; Peyman Golshani; Lawrence T Reiter; Raman Sankar; Ronald L Thibert; Charlotte DiStefano; Scott Huberty; Edwin H Cook; Shafali S Jeste
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

10.  Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis.

Authors:  Michael S Sidorov; Gina M Deck; Marjan Dolatshahi; Ronald L Thibert; Lynne M Bird; Catherine J Chu; Benjamin D Philpot
Journal:  J Neurodev Disord       Date:  2017-05-08       Impact factor: 4.025

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  25 in total

Review 1.  Epilepsy in Angelman syndrome: A scoping review.

Authors:  Debopam Samanta
Journal:  Brain Dev       Date:  2020-09-04       Impact factor: 1.961

Review 2.  Angelman syndrome and melatonin: What can they teach us about sleep regulation.

Authors:  Daniella Buonfiglio; Daniel L Hummer; Ariel Armstrong; John Christopher Ehlen; Jason P DeBruyne
Journal:  J Pineal Res       Date:  2020-10-11       Impact factor: 13.007

3.  Clinical Characterization of Epilepsy in Children With Angelman Syndrome.

Authors:  Daiana Cassater; Mariana Bustamante; Lisa Sach-Peltason; Alexander Rotenberg; Mark Nespeca; Wen-Hann Tan; Lynne M Bird; Joerg F Hipp
Journal:  Pediatr Neurol       Date:  2021-08-31       Impact factor: 3.372

Review 4.  Electrophysiological Biomarkers in Genetic Epilepsies.

Authors:  Caren Armstrong; Eric D Marsh
Journal:  Neurotherapeutics       Date:  2021-10-12       Impact factor: 6.088

5.  Cannabidiol attenuates seizures and EEG abnormalities in Angelman syndrome model mice.

Authors:  Bin Gu; Manhua Zhu; Madison R Glass; Marie Rougié; Viktoriya D Nikolova; Sheryl S Moy; Paul R Carney; Benjamin D Philpot
Journal:  J Clin Invest       Date:  2019-12-02       Impact factor: 14.808

6.  Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep.

Authors:  Yuval Levin; Nishitha S Hosamane; Taylor E McNair; Shrujana S Kunnam; Benjamin D Philpot; Zheng Fan; Michael S Sidorov
Journal:  Autism Res       Date:  2022-03-19       Impact factor: 4.633

7.  Mechanisms underlying the EEG biomarker in Dup15q syndrome.

Authors:  Joerg F Hipp; Shafali S Jeste; Joel Frohlich; Lawrence T Reiter; Vidya Saravanapandian; Charlotte DiStefano; Scott Huberty; Carly Hyde; Stormy Chamberlain; Carrie E Bearden; Peyman Golshani; Andrei Irimia; Richard W Olsen
Journal:  Mol Autism       Date:  2019-07-03       Impact factor: 7.509

8.  High-voltage, diffuse delta rhythms coincide with wakeful consciousness and complexity in Angelman syndrome.

Authors:  Joel Frohlich; Lynne M Bird; John Dell'Italia; Micah A Johnson; Joerg F Hipp; Martin M Monti
Journal:  Neurosci Conscious       Date:  2020-06-14

9.  Properties of beta oscillations in Dup15q syndrome.

Authors:  Vidya Saravanapandian; Joel Frohlich; Joerg F Hipp; Carly Hyde; Aaron W Scheffler; Peyman Golshani; Edwin H Cook; Lawrence T Reiter; Damla Senturk; Shafali S Jeste
Journal:  J Neurodev Disord       Date:  2020-08-13       Impact factor: 4.025

10.  Delta power robustly predicts cognitive function in Angelman syndrome.

Authors:  Lauren M Ostrowski; Elizabeth R Spencer; Lynne M Bird; Ronald Thibert; Robert W Komorowski; Mark A Kramer; Catherine J Chu
Journal:  Ann Clin Transl Neurol       Date:  2021-05-28       Impact factor: 4.511

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