- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02705677
Biobanking of Rett Syndrome and Related Disorders
Biobanking of Rett Syndrome and Related Disorders Protocol
Study Overview
Status
Conditions
Detailed Description
At the present time, effective treatments for RTT, MECP2 Dup, or Rett-related disorders are lacking. Investigators have made substantial progress in RTT over the past eleven years such that this study represents a narrowing of focus to mutations or duplications of the MECP2 gene and related disorders, including those with phenotypic overlap. Understanding of RTT has advanced remarkably well through the Rett Syndrome Natural History Clinical Protocol (NHS) and correspondingly advancement in the basic science realm has moved forward with equivalent success. Thus, progress in clinical and basic science has led to the establishment of clinical trials and other translational studies that hold promise for additional clinical trials in future. In the process, however, investigators became aware of additional MECP2- and RTT-related disorders that were unknown at the time the original proposal was conceived and further were impressed by the substantial clinical variability in individuals with RTT that cannot be explained by differences in mutations alone. In fact, variability among individuals with identical mutations has led investigators to search for additional explanations. At the time of the initial application (2002), just three years after the identification of the gene, MECP2, as the molecular link to RTT, investigators were not aware of the variation in clinical disorders related to MECP2 mutations or to the related but quite different MECP2 Dup. Each disorder is characterized by significant neurodevelopmental features related either to alterations in the MECP2 gene or related to phenotypes closely resembling those seen in individuals with RTT. Further, the phenotypic overlap with RTT due to mutations in CDKL5 and FOXG1 was also unexplored. The investigators propose in this new study to build on the substantial progress made in understanding both classic and variant RTT and to add these related disorders, MECP2 Dup and the Rett-related disorders including CDKL5, FOXG1, and individuals with MECP2 mutations who do not have RTT. In conjunction with the longitudinal clinical assessment performed via the natural history component, investigators will systematically collect from all willing participant's blood and isolate plasma, DNA, and RNA. All participants in the Natural History Study will be asked to contribute samples at the initial visit, whereas samples will be collected repeatedly on a subset of participants in order to look for changes over time. In order to identify factors that distinguish between affected and unaffected individuals, as well as to have the potential to characterize the heritability and potential consequences of genetic changes in families, samples will be collected from unaffected family members. Additionally, on a subset of individuals chosen because of unique clinical features skin biopsies and/or hair follicles will be collected to establish cell lines. Investigators will ask all individuals providing samples to agree to potential future whole-genome sequencing in order to be able to potentially evaluate for genetic modifiers of these diseases.
These materials will be stored at a central repository (Greenwood Genetics Laboratory). The main purpose of these samples is to serve as durable materials for future analyses, however, a set of defined analyses will be performed on all samples. For the samples collected in the Rett syndrome cohort, investigators will perform X-chromosome inactivation studies and evaluate common polymorphisms in Brain derived neurotrophic factor (BDNF) and determine the contribution of these known factors to disease severity. For MECP2 Dup cohort investigators will characterize inflammatory markers in the plasma and correlate these with clinical features. Also for MECP2 Dup cohort investigators will perform detailed genomic breakpoint and gene content analysis and correlate this with disease severity. Similar analysis of genomic breakpoints and gene content will be performed on people with FOXG1 Duplications. Finally, in a pilot study, investigators will perform metabolic profiling on people from all disorders and evaluate for metabolic features correlated with disease severity, and metabolic features common or unique between these disorders. This work will provide a durable resource for future analysis, extend understanding of genotype/phenotype correlations, identify other biological factors contributing to disease severity, as well as provide the framework for the development of biomarkers of disease state and severity.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Alabama
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Birmingham, Alabama, United States, 35294
- University of Alabama at Birmingham
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California
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Oakland, California, United States, 94709
- UCSF Benioff Children's Hospital Oakland
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San Diego, California, United States, 92123
- University of California San Diego
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Colorado
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Denver, Colorado, United States, 80045-2571
- University of Colorado Denver
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Illinois
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Chicago, Illinois, United States, 60612
- Rush University Medical Center
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Massachusetts
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Boston, Massachusetts, United States, 02115
- Children's Hospital Boston
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Minnesota
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Minneapolis, Minnesota, United States, 55101
- Gillette Children's Specialty Healthcare
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Missouri
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Saint Louis, Missouri, United States, 63110-1093
- Washington University School of Medicine and St. Louis Children's Hospital
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19104-4318
- Children's Hospital of Philadelphia
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South Carolina
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Greenwood, South Carolina, United States, 29646
- Greenwood Genetic Center
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Tennessee
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Nashville, Tennessee, United States, 37212
- Vanderbilt University
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Texas
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Houston, Texas, United States, 77030
- Baylor College of Medicine
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Females and males of all ages must have complete testing for MECP2, FOXG1, and CDKL5 genes mutations AND must meet these requirements:
Gene positive for a sequence mutation, duplication or deletion in one of these 3 genes.
OR Meet consensus criteria for Rett syndrome (typical or atypical)
Description
Inclusion Criteria:
- Individuals of both genders and of all ages, with RTT, MECP2 Dup, and, RTT-related disorders including those with mutations or deletions in CDKL5 and FOXG1 genes, or those with RTT (atypical or typical) who are mutation negative. Additionally, unaffected family members of those people who meet the disease specific criteria stated will eligible.
Exclusion Criteria:
- Individuals who do not meet the above criteria will be excluded.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
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Rett syndrome
This is a biobanking project for individuals with mutations in MECP2 or meeting diagnostic criteria for classic (typical) or variant (atypical) Rett syndrome in order to identify other genetic factors such as X-chromosome inactivation or genetic background that may explain the variations noted in these individuals, including those with the same MECP2 mutation.
No interventions are anticipated.
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MECP2 Duplication disorder
This is a biobanking project for individuals with MECP2 duplications to understand the difference in the size of the duplication and the potential impact of other genes in the duplicated segment.
No interventions are anticipated.
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Rett-related disorders: CDKL5, FOXG1
This is a biobanking project for individuals with mutations in MECP2, CDKL5, and FOXG1 to understand the interplay of mutations in these individuals and the resultant phenotypic expression; for example, individuals with mutations in MECP2 but not meeting diagnostic criteria for Rett syndrome or individuals with mutations in CDKL5 or FOXG1 who may or may not meet diagnostic criteria for atypical Rett syndrome.
No interventions are anticipated.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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X-chromosome inactivation in Rett syndrome (RTT)
Time Frame: 5 years
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Characterize X-chromosome inactivation in RTT and correlate with clinical severity.
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5 years
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Bdnf polymorphisms in RTT
Time Frame: 5 years
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Characterize Bdnf polymorphisms in RTT and correlate with clinical severity.
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5 years
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Inflammation markers in MECP2 duplication syndrome
Time Frame: 5 years
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Evaluate inflammation markers in MECP2 duplication syndrome and correlate with disease severity.
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5 years
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Biobanking of blood for Rett syndrome (RTT), MECP2 duplication syndrome, FOXG1, CDKL5, and MECP2 mutations not producing RTT
Time Frame: 5 years
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Blood will be collected and stored from participants with RTT, MECP2 duplication, FOXG1, CDKL5, and MECP2 mutations without RTT to analyze factors noted in Outcomes 1-3 and in secondary outcome 5 to correlate with disease severity.
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5 years
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Breakpoints and gene content of MECP2 and FOXG1 duplications
Time Frame: 5 years
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Characterize breakpoints and gene content of MECP2 and FOXG1 duplications and correlate with disease severity
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5 years
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Collaborators and Investigators
Collaborators
Investigators
- Study Chair: Jeffrey L Neul, MD, PhD, UCSD
Publications and helpful links
General Publications
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- Na ES, Nelson ED, Kavalali ET, Monteggia LM. The impact of MeCP2 loss- or gain-of-function on synaptic plasticity. Neuropsychopharmacology. 2013 Jan;38(1):212-9. doi: 10.1038/npp.2012.116. Epub 2012 Jul 11.
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- Downs J, Bebbington A, Kaufmann WE, Leonard H. Longitudinal hand function in Rett syndrome. J Child Neurol. 2011 Mar;26(3):334-40. doi: 10.1177/0883073810381920. Epub 2010 Oct 4.
- Downs JA, Bebbington A, Jacoby P, Msall ME, McIlroy O, Fyfe S, Bahi-Buisson N, Kaufmann WE, Leonard H. Gross motor profile in rett syndrome as determined by video analysis. Neuropediatrics. 2008 Aug;39(4):205-10. doi: 10.1055/s-0028-1104575. Epub 2009 Jan 22.
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- Nectoux J, Bahi-Buisson N, Guellec I, Coste J, De Roux N, Rosas H, Tardieu M, Chelly J, Bienvenu T. The p.Val66Met polymorphism in the BDNF gene protects against early seizures in Rett syndrome. Neurology. 2008 May 27;70(22 Pt 2):2145-51. doi: 10.1212/01.wnl.0000304086.75913.b2. Epub 2008 Apr 23.
- Zeev BB, Bebbington A, Ho G, Leonard H, de Klerk N, Gak E, Vecsler M, Christodoulou J. The common BDNF polymorphism may be a modifier of disease severity in Rett syndrome. Neurology. 2009 Apr 7;72(14):1242-7. doi: 10.1212/01.wnl.0000345664.72220.6a. Erratum In: Neurology. 2009 Jul 14;73(2):161. Vecksler, M [corrected to Vecsler, M].
- Buchovecky CM, Turley SD, Brown HM, Kyle SM, McDonald JG, Liu B, Pieper AA, Huang W, Katz DM, Russell DW, Shendure J, Justice MJ. A suppressor screen in Mecp2 mutant mice implicates cholesterol metabolism in Rett syndrome. Nat Genet. 2013 Sep;45(9):1013-20. doi: 10.1038/ng.2714. Epub 2013 Jul 28.
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- Bahi-Buisson N, Kaminska A, Boddaert N, Rio M, Afenjar A, Gerard M, Giuliano F, Motte J, Heron D, Morel MA, Plouin P, Richelme C, des Portes V, Dulac O, Philippe C, Chiron C, Nabbout R, Bienvenu T. The three stages of epilepsy in patients with CDKL5 mutations. Epilepsia. 2008 Jun;49(6):1027-37. doi: 10.1111/j.1528-1167.2007.01520.x. Epub 2008 Feb 7.
- Bahi-Buisson N, Nectoux J, Rosas-Vargas H, Milh M, Boddaert N, Girard B, Cances C, Ville D, Afenjar A, Rio M, Heron D, N'guyen Morel MA, Arzimanoglou A, Philippe C, Jonveaux P, Chelly J, Bienvenu T. Key clinical features to identify girls with CDKL5 mutations. Brain. 2008 Oct;131(Pt 10):2647-61. doi: 10.1093/brain/awn197. Epub 2008 Sep 12.
- Fehr S, Wilson M, Downs J, Williams S, Murgia A, Sartori S, Vecchi M, Ho G, Polli R, Psoni S, Bao X, de Klerk N, Leonard H, Christodoulou J. The CDKL5 disorder is an independent clinical entity associated with early-onset encephalopathy. Eur J Hum Genet. 2013 Mar;21(3):266-73. doi: 10.1038/ejhg.2012.156. Epub 2012 Aug 8.
- Melani F, Mei D, Pisano T, Savasta S, Franzoni E, Ferrari AR, Marini C, Guerrini R. CDKL5 gene-related epileptic encephalopathy: electroclinical findings in the first year of life. Dev Med Child Neurol. 2011 Apr;53(4):354-60. doi: 10.1111/j.1469-8749.2010.03889.x. Epub 2011 Feb 11.
- Elia M, Falco M, Ferri R, Spalletta A, Bottitta M, Calabrese G, Carotenuto M, Musumeci SA, Lo Giudice M, Fichera M. CDKL5 mutations in boys with severe encephalopathy and early-onset intractable epilepsy. Neurology. 2008 Sep 23;71(13):997-9. doi: 10.1212/01.wnl.0000326592.37105.88.
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Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- RDCRN # 5213
- U54HD061222 (U.S. NIH Grant/Contract)
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IPD Plan Description
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Clinical Trials on CDKL5
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Marinus PharmaceuticalsNo longer availableCDKL5 Disorder
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University of Alabama at BirminghamEunice Kennedy Shriver National Institute of Child Health and Human Development... and other collaboratorsCompletedRett Syndrome | CDKL5 Disorder | MECP2 Duplication dIsorder | FOXG1 SyndromeUnited States