The invention relates to methods for diagnosing an autistic spectrum disorder (ASD).
| Title of the patent | Methods for diagnosing an autistic spectrum disorder |
|---|---|
| Thematic area | Pharmaceutical |
| Ownership | Alma Mater Studiorum - Università di Bologna, University of Warwick, University of Birmingham |
| Inventors | Marina Marini, Provvidenza Maria Abruzzo, Alessandra Bolotta, Naila Rabbani, Paul J. Thornalley, Kashif Rajpoot |
| Protection | United Kingdom |
| Licensing status | Available for development agreements, option, license and other exploitation agreements |
| Keywords | Autism, spectrum, disorders, biomarkers, algorithm |
| Filed on | Feb 09, 2018 |
ASD is currently diagnosed on the basis of a clinician’s perception of symptoms in the patient. Scores derived from assessment of patient performance in standardized activities are used, including Autism Diagnostic Observation Schedule (ADOS) score, the childhood autism rating scale (CARS), checklist for autism in toddlers (CHAT) and social communication questionnaire (SCQ). However, these assessments are subjective and provide no information on assessment of risk of progression to more severe symptoms nor assessment of response to therapy. The performance of these methods is poor, they have a sensitivity of only 20 – 70% and 50 – 80%. They also require expert an experienced healthcare personnel for implementation. There therefore exists a need for improved methods of diagnosing autism in patients.
The present invention relates to methods for diagnosing an autistic spectrum disorder (ASD).
The method allows to support, to clinical evaluations, objective biochemical evaluations in the diagnosis of autism spectrum disorder.
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