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The goal of this project is to identify specific miRNAs that are increased or decreased in the saliva of children with developmental delay and are useful for screening toddlers for ASD. Such a screening tool would improve the specificity of diagnosis, streamline referrals to developmental specialists, and expedite the arrangement of early intervention services.
The central aim of this project is to characterize the expression of exosomal microRNA (miRNA) in children with autism spectrum disorder (ASD). Currently, the CDC estimates the prevalence of ASD in U.S. children to be 1 in 68. Yet, the biological causes, diagnosis, and treatment of this disease remain ambiguous. Growing evidence implicates a genetic role in ASD. miRNAs regulate genetic expression and are altered in lymphocytes, neurons and serum of patients with ASD. Recent studies of miRNAs have shown that they can be packaged into exosomal vessels and extruded from neurons as extracellular signaling tools. This knowledge provides a novel approach for examining the genetic regulation of the central nervous system.
We propose to measure the expression of extracellular miRNA in children with ASD. Expression levels of miRNA from blood and saliva will be compared between children with autism and normally developing controls. The goal of this study will be to identify genetic regulatory mechanisms involved in ASD and provide potential biomarkers for diagnostic screening.
The primary endpoints of this study are as follows:
Secondary endpoints include the identification of miRNA expression patterns that correlate with ASD symptom severity measured with standardized neuropsychologic testing and to characterize parental knowledge and attitudes towards epigenetic testing in the context of ASD..
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Autism Spectrum Disorder (ASD) | Age at enrollment: 18 months to 6 years with established DSM-5 diagnosis of autism spectrum disorder. Exclusion criteria include: wards of the state syndromic autism (attributed to a known genetic mutation) active periodontal infection active upper respiratory infection |
| |
| Control | Age 18 months to 6 years without autism spectrum disorder (may have typical development or developmental delay without autism - as defined by negative MCHAT-R or negative ADOS-II evaluation) Exclusion criteria include: wards of the state active periodontal infection active upper respiratory infection |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Saliva collection | Other | Collection of saliva via swab for miRNA processing |
|
| Measure | Description | Time Frame |
|---|---|---|
| salivary miRNA profile | Measures of miRNA abundance in saliva | at time of collection (between 18 months and 6 years of age) |
| Measure | Description | Time Frame |
|---|---|---|
| Measures of adaptive function | Vineland adaptive behavior composite score | at time of enrollment (between 18 months and 6 years) |
| Measure of autistic behavior | Autism Diagnostic Observation Schedule (ADOS) Composite Score (when clinically indicated) |
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Inclusion Criteria:
• Age at enrollment: 18 months and 6 years (inclusive)
Exclusion Criteria:
For autistic subjects study exclusion criteria will include:
• Autistic subjects with known syndromic autism (attributed to a known genetic mutation)
Control subjects only exclusion criteria will include:
• A diagnosis of autism
For both groups: wards of the state, active periodontal infection, active upper respiratory infection
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The study will compare salivary miRNA in 2 groups of children between the ages of 18 months and 6 years, 11 months of age:
Group 1: Children with autism spectrum disorder (ASD), diagnosed by a qualified clinical specialist using DSM-5 criteria and confirmed with ADOS, CASD, or some additional semi-structured evaluation measure. ASD will not be attributable to an underlying genetic phenotype.
Group 2: Healthy controls with negative MCHAT-R screening not meeting DSM-5 criteria for ASD
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| Name | Affiliation | Role |
|---|---|---|
| Steven Hicks, MD, PhD | Milton S. Hershey Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Penn State Milton S. Hershey Medical Center | Hershey | Pennsylvania | 17033 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25126405 | Background | Mundalil Vasu M, Anitha A, Thanseem I, Suzuki K, Yamada K, Takahashi T, Wakuda T, Iwata K, Tsujii M, Sugiyama T, Mori N. Serum microRNA profiles in children with autism. Mol Autism. 2014 Jul 30;5:40. doi: 10.1186/2040-2392-5-40. eCollection 2014. | |
| 20374639 | Background | Sarachana T, Zhou R, Chen G, Manji HK, Hu VW. Investigation of post-transcriptional gene regulatory networks associated with autism spectrum disorders by microRNA expression profiling of lymphoblastoid cell lines. Genome Med. 2010 Apr 7;2(4):23. doi: 10.1186/gm144. |
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IPD will not be made available
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| ID | Term |
|---|---|
| D000067877 | Autism Spectrum Disorder |
| D007859 | Learning Disabilities |
| ID | Term |
|---|---|
| D002659 | Child Development Disorders, Pervasive |
| D065886 | Neurodevelopmental Disorders |
| D001523 | Mental Disorders |
| D003147 | Communication Disorders |
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Salivary RNA
| Vineland Adaptive Behavior Scale-II Assessment | Other |
|
| at time of enrollment (between 18 months and 6 years) |
| 18563458 | Background | Abu-Elneel K, Liu T, Gazzaniga FS, Nishimura Y, Wall DP, Geschwind DH, Lao K, Kosik KS. Heterogeneous dysregulation of microRNAs across the autism spectrum. Neurogenetics. 2008 Jul;9(3):153-61. doi: 10.1007/s10048-008-0133-5. Epub 2008 Jun 19. |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |