Stroke Clinical Trial
— EXO4STROKEOfficial title:
Characterization of Circulating Extracellular Vesicles/Exosomes as New Predictive Biomarkers in Stroke Patients
Verified date | January 2024 |
Source | Fondazione Don Carlo Gnocchi Onlus |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Active, not recruiting |
Enrollment | 100 |
Est. completion date | December 31, 2023 |
Est. primary completion date | September 30, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 35 Years to 75 Years |
Eligibility | Inclusion Criteria: - Diagnosis of ischemic or haemorrhagic stroke related to intensive post-stroke rehabilitation hospitalization - within 15 days of the ictal event Exclusion Criteria: - Previous head injuries/traumas - Oncological diseases - Diseases of the immune and haematological system - Neurodegenerative diseases |
Country | Name | City | State |
---|---|---|---|
Italy | IRCCS Don Gnocchi, Fondazione Don Carlo Gnocchi ONLUS | Florence | |
Italy | IRCCS S. Maria Nascente, Fondazione Don Carlo Gnocchi ONLUS | Milano |
Lead Sponsor | Collaborator |
---|---|
Fondazione Don Carlo Gnocchi Onlus |
Italy,
Gualerzi A, Picciolini S, Carlomagno C, Roda F, Bedoni M. Biophotonics for diagnostic detection of extracellular vesicles. Adv Drug Deliv Rev. 2021 Jul;174:229-249. doi: 10.1016/j.addr.2021.04.014. Epub 2021 Apr 19. — View Citation
Gualerzi A, Picciolini S, Carlomagno C, Terenzi F, Ramat S, Sorbi S, Bedoni M. Raman profiling of circulating extracellular vesicles for the stratification of Parkinson's patients. Nanomedicine. 2019 Nov;22:102097. doi: 10.1016/j.nano.2019.102097. Epub 2019 Oct 21. — View Citation
Gualerzi A, Picciolini S, Roda F, Bedoni M. Extracellular Vesicles in Regeneration and Rehabilitation Recovery after Stroke. Biology (Basel). 2021 Aug 30;10(9):843. doi: 10.3390/biology10090843. — View Citation
Picciolini S, Gualerzi A, Carlomagno C, Cabinio M, Sorrentino S, Baglio F, Bedoni M. An SPRi-based biosensor pilot study: Analysis of multiple circulating extracellular vesicles and hippocampal volume in Alzheimer's disease. J Pharm Biomed Anal. 2021 Jan 5;192:113649. doi: 10.1016/j.jpba.2020.113649. Epub 2020 Sep 23. — View Citation
Picciolini S, Gualerzi A, Vanna R, Sguassero A, Gramatica F, Bedoni M, Masserini M, Morasso C. Detection and Characterization of Different Brain-Derived Subpopulations of Plasma Exosomes by Surface Plasmon Resonance Imaging. Anal Chem. 2018 Aug 7;90(15):8873-8880. doi: 10.1021/acs.analchem.8b00941. Epub 2018 Jul 17. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in modified Barthel index after rehabilitation | modified Barthel index (Shah et al., 1989) | 01/11/2020 - 30/03/2022 | |
Secondary | Extracellular vesicles characterization by SPRi | EVs will be isolated from serum, characterized by standard procedures and injected on the SPRi biosensor for the differential quantification of multiple EV subfamilies. Secondary antigens will be evaluated on the surface of immobilized EVs.
Changes in biomarkers expression will be assessed after rehabilitation |
25/06/2018 - 30/09/2022 | |
Secondary | Change in Numeric Rating Scale (NRS) PAIN or PAINAD for non-verbal patient after rehabilitation | Numeric Rating Scale (NRS) PAIN or PAINAD for non-verbal patient, validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in anamnestic and current modified RANKIN scale after rehabilitation | anamnestic and current modified RANKIN scale, validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in NIH-STROKE SCALE after rehabilitation | NIHSS scale (Brott et al. 1989) , validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Fugl-Meyer Assessment (FMA) scale after rehabilitation | Fugl-Meyer Assessment (FMA) scale (Fugl-Meyer et al., 1975; Cecchi et al., 2020) , validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Trunk control test after rehabilitation | Trunk control test (Franchignoni et al, 1997), validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Short Physical Performance Battery (SPPB) after rehabilitation | SPPB (Guralnik et al, 1994) , validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Functional ambulation classification | Functional ambulation classification (Jan Mehrholz et al., 2007), validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Addenbrooke's Cognitive Examination scale after rehabilitation | Addenbrooke's Cognitive Examination (Mathuranath et al., 2000), validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Hospital Anxiety and Depression Scale (HADS) after rehabilitation | HADS, validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 | |
Secondary | Change in Cumulative illness rating scale (CIRS) after rehabilitation | CIRS (Linn et al., 1968), validated in the literature and already proposed in the PMIC 2020 by SIMFER, will be used for accurate patient profiling and assessment of functional recovery. | 25/06/2018 - 30/09/2022 |
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