Title |
Circulating miRNAs profiles in tourette syndrome: molecular data and clinical implications
|
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Published in |
Molecular Brain, July 2015
|
DOI | 10.1186/s13041-015-0133-y |
Pubmed ID | |
Authors |
Renata Rizzo, Marco Ragusa, Cristina Barbagallo, Mariangela Sammito, Mariangela Gulisano, Paola V Calì, Claudio Pappalardo, Martina Barchitta, Mariagrazia Granata, Angelo G Condorelli, Davide Barbagallo, Marina Scalia, Antonella Agodi, Cinzia Di Pietro, Michele Purrello |
Abstract |
Tourette Syndrome (TS) is a highly prevalent childhood neuropsychiatric disorder (about 1 %), characterized by multiple motor and one or more vocal tics. The syndrome is commonly associated to comorbid conditions (e.g., Attention Deficit Hyperactivity Disorder and Obsessive Compulsive Disorder), which considerably aggravate clinical symptoms and complicate diagnosis and treatment. To date, TS molecular bases are unknown and its molecular diagnosis is unfeasible. Due to their master role within cell networks and pathways both in physiology as in pathology, we sought to determine the transcriptome of circulating miRNAs in TS patients: by TaqMan Low Density Arrays, we profiled the expression in serum of 754 miRNAs in six TS patients and three unaffected controls (NCs) (discovery set). These data were validated by single TaqMan assays on serum from 52 TS patients and 15 NCs (validation set). Network and Gene-ontology analysis were performed by using Cytoscape and Babelomics server. We found that miR-429 is significantly underexpressed in TS patients with respect to NCs. Decreased serum levels of miR-429 allowed us to discriminate TS patients from NCs with 95 % of sensitivity and 42 % of specificity. Intriguingly, computational analysis of the network comprising miR-429 targets demonstrates their involvement in differentiation of midbrain and hindbrain and synaptic transmission. Our data open the way to further molecular characterization of TS and eventual identification of the corresponding genotypes. Circulating miR-429 may be immediately useful as sensitive molecular biomarker to support TS diagnosis, actually based only on DSM-V criteria. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 20% |
Unknown | 8 | 80% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 8 | 80% |
Scientists | 1 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 11 | 17% |
Student > Ph. D. Student | 9 | 14% |
Student > Master | 8 | 12% |
Professor | 4 | 6% |
Student > Doctoral Student | 4 | 6% |
Other | 12 | 18% |
Unknown | 18 | 27% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 15 | 23% |
Neuroscience | 8 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 11% |
Agricultural and Biological Sciences | 7 | 11% |
Psychology | 7 | 11% |
Other | 6 | 9% |
Unknown | 16 | 24% |