The combination of rehabilitation protocols and regenerative therapies offers the outstanding opportunity to promote and enhance the endogenous regenerative and repair processes occurring in tissues damaged or lost due to injury, disease, or age. Still, one of the main hurdles in the clinical approach to regenerative rehabilitation is the lack of easily accessible and sensitive biomarkers for the evaluation of rehabilitation and therapy efficacy. Extracellular vesicles (EVs) are nanoscaled vesicles that mediate intercellular communication among organs. EVs were shown to be involved in the onset, progression and resolution of many disorders, being also used as valuable tool in the regenerative medicine field. However, the initial enthusiastic approach to EVs has been hindered in its transfer to clinics because of technological obstacles related to their dimensions and to their limited amount. The present project proposes the application of a Surface Plasmon Resonance imaging (SPRi)-based biosensor for the detection and characterization of blood EVs from stroke patients, before and after rehabilitation. After the successful SPRi detection of EVs of different cellular origin (brain and non-brain cells), the quantification of specific surface molecules related to pathological or regeneration processes will be accomplished. If successful, the project will 1) demonstrate the ability of the SPRi biosensor to reveal differences in the relative amount of specific cell-derived EV subpopulations and in their cargo during disease progression and rehabilitation induced recovery, 2) provide support for using the proposed SPRi-based biosensor for the detection and characterization of circulating EVs in order to evaluate the efficacy of rehabilitation protocols and regenerative therapies, 3) identify new biomarkers for the profiling of stroke patients to personalize the rehabilitation therapies.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Change in modified Barthel index after rehabilitation
Timeframe: 01/11/2020 - 30/03/2022