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Cerebral small Vessel Disease (cSVD), characterized by an alteration of the structure and function of small penetrating brain arteries, is highly prevalent in older persons from the general population and represents a leading cause of stroke and a major contributor to cognitive decline and dementia risk. In France >4 million persons aged 60+ are estimated to have moderate to extensive covert cSVD (ccSVD), i.e. features of SVD on brain imaging without a history of clinical stroke. Better detection and management of covert cSVD would have a major impact on preventing disability and costs related to stroke, cognitive impairment and dementia. However, there are no specific mechanistic treatments for cSVD and hardly any recommendations worldwide on how to prevent and treat cSVD and related cognitive impairment. The aim of the present study, through the identification of novel cutting-edge multimodal biomarkers, is to develop innovative diagnostic and risk prediction tools for cSVD and its complications and to contribute to accelerating the discovery of novel drug targets and therapeutics strategies for cSVD.
cSVD is by far the most prevalent vascular contributor to cognitive impairment in the population. However, accurate quantitative estimates of the predictive ability of cSVD for dementia risk are lacking. Moreover, stratification of cognitive decline and dementia risk in cSVD patients according to imaging characteristics as well as evidence of coexisting neurodegenerative disease and vascular comorbidity are lacking. Hypertension is the strongest known risk factor for cSVD but there are currently no guidelines for the management of cSVD (or emerging guidelines based on weak evidence, and no specific mechanism-based treatments, leading to empirical and heterogeneous clinical practice, which in most instances consists of ignoring these lesions. This clinical blind spot represents a major "missed opportunity" for the prevention of cognitive decline and dementia.
This study aims to explore the relation of brain and retinal microvasculature image characteristics (imaging biomarkers), as well as molecular biomarkers derived from blood, with presence or absence of extensive cSVD and with cognitive and other clinical characteristics in two groups of 200 patients 60+ years of age. The first group will consist of patients with little or no white matter hyperintensities on brain MRI (no or minor MRI features of cSVD); while the second will include patients with moderate to severe white matter hyperintensities (MRI features of extensive cSVD).
This will create a unique deeply characterized resource for epidemiological and mechanistic investigations of cSVD, which can also serve as a pilot setting to test the trajectories and requirements for individualized patient care of cSVD patients.
The combination of retinal microvascular measurements using innovative multimodal imaging is entirely novel to our knowledge. In the context of the RHU SHIVA program, the same retained imaging protocol will be implemented for 400 young adults, which will provide insight into trajectories of these retinal biomarkers across the adult lifespan).
For the molecular biomarkers allow the validation of genomic, epigenomic, transcriptomic, proteomic, and metabolomic biomarkers for cSVD identified through secondary use of large existing cohort studies in the general population (3C, i-Share cohorts), in persons with memory complaints (MEMENTO cohort), and in collaboration with other cohorts with the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, also as part of the RHU SHIVA program.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Minimal cSVD patient group | Active Comparator | little or no white matter hyperintensities |
|
| Extensive cSVD patient group | Active Comparator | moderate to severe white matter hyperintensities |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Retinal Imaging | Procedure | Auto-Refractometry / Adaptative Optics (OA) / Swept Source Optical Coherence Tomography (SS-OCT-A) / Globe Axial length measurements / Color Retinophotography of the retina. |
| Measure | Description | Time Frame |
|---|---|---|
| Comparison of images and the molecular data | This comparison should help identify relevant biomarkers to characterize and categorize cSVD. We will also more broadly look at the association of retinal microvascular markers and molecular biomarkers with all available MRI-markers of cSVD (beyond the presence or absence of extensive white matter hyperintensities that defines the cases and controls). | Day 0 and Year 3 |
| Measure | Description | Time Frame |
|---|---|---|
| Degree of association between retinal and brain marker | Degree of association between retinal and brain marker | Day 0, Year 1 and Year 3 |
| Degree of association between brain, microvascular and retinal marker |
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Inclusion Criteria:
For the extensive cSVD patient group
For the extensive cSVD patient group included in the LEOPOLD trial:
For the extensive cSVD patient group not included in the LEOPOLD trial:
For the minimal cSVD patient group:
Exclusion Criteria:
For Extensive cSVD patient group :
For the extensive cSVD patient group also included in the LEOPOLD trial:
For the extensive cSVD patient group not included in the LEOPOLD trial:
For the minimal cSVD patient group:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Stéphanie DEBETTE, Pr | Contact | 5.57.57.16.59 | +33 | stephanie.debette@u-bordeaux.fr |
| Name | Affiliation | Role |
|---|---|---|
| Olivier HANON, Pr | Assistance Publique - Hôpitaux de Paris | Principal Investigator |
| Marc JOLIOT, Dr | Unité CNRS UMR5296, Groupe d'Imagerie | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Bordeaux Hospital | Recruiting | Bordeaux | 33000 | France |
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| Blood sample | Genetic | Analyses of molecular biomarkers including |
|
| Evaluation of cardiovascular risks | Procedure | Measurement of blood pressure and arterial stiffness |
|
| Brain imaging (MRI) | Procedure | 3DT1 / 3DFLAIR / T2GRE / DTI 15 directions (and B0MAP) |
|
| Cognitive Tests | Other | Mini Mental State Examination (MMSE) / Montreal Cognitive Assessment (MoCA) / 16 items Free and Cued Recall (RL/RI 16 items) / Trail Making Test A et B (TMT A et B) / Frontal Assessment Battery (FAB) / Phonemic (letter P) and semantic (animals) verbal fluency tests / Digit Symbol Substitution Test (DSST) |
|
| Geriatric Depression Scale (GDS) | Other | 15 items |
|
| Instrumental Activities of Daily Living (IADL) | Other | Instrumental Activities of Daily Living (IADL) |
|
| Unipodal standing test | Diagnostic Test | Unipodal standing test |
|
| Walking speed measurement | Other | over 5 meters |
|
Data relating to cardiovascular risk factors / clinic data / the results of the cognitive tests, /the results of pan-genomic genotypes obtained by pan-genome genotyping or sequencing (and from blood samples) and other molecular markers
| Day 0, Year 1, Year 2 and Year 3 |
| Correlation between retinal micovascular biomarkers | SS-OCT-A (swept source optical coherence tomography angiography) and OA(Adaptive Optic) | Day 0, Year 1, Year 2 and Year 3 |
| Reproducibility and time course of retinal vascular biomarkers | SS-OCT-A (swept source optical coherence tomography angiography) and OA (Adaptive Optic) | Between Day 0 and Year 1 |
| Detecting, classifying and quantifying markers of retinal microvascular lesions | Performance image acquisition -OCT-A (swept source optical coherence tomography angiography) and OA (Adaptive Optic) | up to year 3 |
| Comparison of the results in the Shiva study and SHIVA share study | Comparison of the association results and mean distributions observed in SHIVA with those observed in the SHIVA-Share | through study completion, an average of 3 year |
| Occurrence of incident stroke, dementia and death during follow-up. | Association of all imaging or molecular biomarkers with the occurrence of incident stroke, dementia and death during follow-up. | through study completion, an average of 3 year |
| Cécile DELCOURT, Dr |
| Centre INSERM U1219 Bordeaux Population Health |
| Study Chair |
| Broca Hospital | Recruiting | Paris | 75014 | France |
|
| ID | Term |
|---|---|
| D059345 | Cerebral Small Vessel Diseases |
| D020521 | Stroke |
| D003704 | Dementia |
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D003072 | Cognition Disorders |
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| ID | Term |
|---|---|
| D001800 | Blood Specimen Collection |
| D059906 | Neuroimaging |
| D009682 | Magnetic Resonance Spectroscopy |
| D009483 | Neuropsychological Tests |
| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |
| D003952 | Diagnostic Imaging |
| D003943 | Diagnostic Techniques, Neurological |
| D013057 | Spectrum Analysis |
| D002623 | Chemistry Techniques, Analytical |
| D011581 | Psychological Tests |
| D004191 | Behavioral Disciplines and Activities |
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