Sleep disturbances in Phelan‐McDermid syndrome: Clinical and metabolic profiling of 56 individuals

Author:

Moffitt Bridgette A.1ORCID,Oberman Lindsay M.2,Beamer Laura3,Srikanth Sujata13,Jain Lavanya4,Cascio Lauren3,Jones Kelly3,Pauly Rini3,May Melanie3,Skinner Cindy3,Buchanan Caroline3,DuPont Barbara R.3,Kaufmann Walter E.3567,Valentine Kathleen1,Ward Linda D.1,Ivankovic Diana1,Rogers R. Curtis3,Phelan Katy8,Sarasua Sara M.1,Boccuto Luigi13ORCID

Affiliation:

1. School of Nursing, Healthcare Genetics Program Clemson University Clemson South Carolina USA

2. Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health National Institutes of Health Bethesda Maryland USA

3. Greenwood Genetic Center Greenwood South Carolina USA

4. Genomic Medicine Institute, Cleveland Clinic Cleveland Ohio United States

5. Department of Human Genetics Emory University School of Medicine Atlanta Georgia USA

6. Department of Neurology Boston Children's Hospital Boston Massachusetts USA

7. Anavex Life Sciences Corp New York New York USA

8. Genetics Department Florida Cancer Specialists & Research Institute Fort Myers Florida USA

Abstract

AbstractPhelan‐McDermid Syndrome (PMS) is caused by deletions at chromosome 22q13.3 or pathogenic/likely pathogenic SHANK3 variants. The clinical presentation is extremely variable and includes global developmental delay/intellectual disability (ID), seizures, neonatal hypotonia, and sleep disturbances, among others. This study investigated the prevalence of sleep disturbances, and the genetic and metabolic features associated with them, in a cohort of 56 individuals with PMS. Sleep data were collected via standardized observer/caregiver questionnaires, while genetic data from array‐CGH and sequencing of 9 candidate genes within the 22q13.3 region, and metabolic profiling utilized the Biolog Phenotype Mammalian MicroArray plates. Sleep disturbances were present in 64.3% of individuals with PMS, with the most common problem being waking during the night (39%). Sleep disturbances were more prevalent in individuals with a SHANK3 pathogenic variant (89%) compared to subjects with 22q13.3 deletions of any size (59.6%). Distinct metabolic profiles for individuals with PMS with and without sleep disturbances were also identified. These data are helpful information for recognizing and managing sleep disturbances in individuals with PMS, outlining the main candidate gene for this neurological manifestation, and highlighting potential biomarkers for early identification of at‐risk subjects and molecular targets for novel treatment approaches.

Funder

Greenwood Genetic Center Foundation

Publisher

Wiley

Subject

Genetics (clinical),Genetics

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