Paola Petrone

Computer-assisted human erythrocyte morphometry by scanning electron  microscopy for validation of an early autism spectrum disorder biomarker


Abnormal red blood cell (RBC) shapes have been found in patients with autism spectrum disorders (ASD),  neurodevelopmental disorders characterized by social and behavioural impairments. This condition is associated with a high social impact and strong suggestions of a dramatically rising prevalence in the general paediatric population over the last decades; currently its diagnosis can be made by expert operators, on a clinical-behavioural basis, in about 36 months old subjects. For the vast majority of cases, neither causes nor therapies are still unknown; however, several rehabilitative interventions of proven efficacy in reducing the symptoms of the disorder are currently available and its clinical course depends fundamentally on how early the intervention is established.

The aim of the project is to test the potential value of RBC morphology as a biomarker candidate for an early ASD diagnosis, carrying out a SEM (Scanning Electron Microscopy) analysis of blood micro-samples from ASD patients. As part of the project, a new protocol, based on the acupuncture method, for the preparation of blood samples aimed at the morphological analysis of RBCs by SEM was developed and optimized. The project concerning the study of RBC morphologies in school-age ASD patients obtained official authorization by a local ethical committee. First ASD patients were recruited and the related blood samples were processed and analysed in the laboratory. A new software has also been developed with the aim of speeding up and making more reproducible RBC identification and classification in SEM micrographs. For the validation of the biomarker "altered erythrocyte morphometry (AEM)" in school-age children, ASD patients and negative control subjects will be recruited and their blood micro-samples will be analysed by SEM technologies. Furthermore, the software efficiency for RBC phenotyping in SEM micrographs will be implemented through ad-hoc artificial intelligence methodologies. If confirmed by ongoing research, identification of an early ASD biomarker could allow ASD patients and their families to be directed early towards a rehabilitation-behavioural path with positive effects both in terms of patients' neurodevelopmental outcome and reduction of the economic-social impact