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| Name | Class |
|---|---|
| Duke University | OTHER |
| Johns Hopkins University | OTHER |
| University of New Mexico | OTHER |
| University of Southern California |
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Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID) is an NIH-funded consortium dedicated to finding biomarkers involved in age-related thinking and memory problems. Alzheimer's disease and other dementias leave signatures on brain scans or in the blood called biomarkers. The MarkVCID study will measure a panel of candidate biomarkers in 1800 participants and watch them closely to see what they tell us about changes in brain function and risk of memory loss.
Age-related problems in thinking and memory represent some of the greatest risks to public health in the US and globally. Diseases that affect small blood vessels in the brain have been shown to be major contributors to these changes. However, research and patient care can be held back by limited biomarkers that identify who should be treated.
The MarkVCID Consortium includes 17 US medical centers, a Coordinating Center, an External Advisory Committee, and NIH leadership. Data and biospecimens collected as part of this research study will be stored in a research database and biorepositories, so that researchers can use this information to study brain function.
Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID) is an NIH-funded multisite consortium dedicated to developing promising predictive, diagnostic, target engagement and progression candidate biomarkers of small vessel disease in VCID. MarkVCID is a collaborative consortium of nine North American research sites (consisting of 17 institutions nationwide), a Coordinating Center, External Advisory Committee, and NIH leadership.
MGH serves as the Consortium's Coordinating Center and is comprised of an administrative and data core providing participating research sites with a common support infrastructure that facilitates cross-site collaborations, oversees development of standard operating procedures and data collection methods and manages consortium-wide data.
In phase two of the MarkVCID study, research sites are charged with enrolling and following ≥200 diverse human subjects with cognitive complaints and/or early symptomatic stages of cognitive impairment and dementia potentially associated with cerebrovascular small vessel disease. Sites will share data with the Coordinating Center which will be used for validation studies of chosen consortium biomarkers. Throughout the duration of the study, sites will utilize harmonized procedures and data collection methods to engage in multi-site biomarker validation. Both Cores comply with regulations for the protection of human research subjects (including Good Clinical Practices (GCP), 21 Code of Federal Regulations (CFR)) and with the International Conference on Harmonization (ICH) Regulations E2A and E6.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Normal Cognition (NC) with at least 1 vascular risk factor | NC is defined as:
Participants must have at least 1 of the following criteria prior to enrollment: Diabetes (at least 1):
Hypertension plus (at least 2):
MRI factors (at least 1):
|
| |
| Subjective Cognitive Decline (SCD) | Subjective cognitive decline is defined as:
|
| |
| Mild Cognitive Impairment (MCI) | Mild cognitive impairment is defined as:
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No interventions | Other | This is an observational study with no interventions. |
|
| Measure | Description | Time Frame |
|---|---|---|
| SVD progression as measured by decline in global cognition | Global cognition scores will be calculated at each study timepoint as an average of age- and education-specific z-scores, based on tests scores from the MarkVCID2 cognitive battery (MoCA, Neuropsychological Testing Battery, Clinical Dementia Rating), which is based on Version 3 of the National Alzheimer's Coordinating Center's (NACC) Uniform Data Set (UDS) (Besser 2018). | The cognitive battery is implemented, and global cognition calculated, at Baseline and Years 1, 2 and 3 post-baseline. |
| Measure | Description | Time Frame |
|---|---|---|
| SVD progression as measured by decline in executive function | The measure of executive function is the Uniform Data Set (v3.0) executive function composite score (UDS3-EF) developed by Staffaroni et al (2021). The UDS3-EF is calculated from the following tests: Category Fluency - Animals; Verbal Fluency - Phonemic Tests (words beginning with F); Number Span Test (Backward); and Trail Making Tests A and B. |
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Inclusion Criteria:
Age ≥ 60 and ≤ 90 years
Diagnosis of normal cognition with at least one criterion for vascular risk*, subjective cognitive decline (preliminary diagnosis based on self-report question or eCog-12), mild cognitive impairment, or mild dementia based on standard research criteria
Fluent in English or Spanish
No contraindications to MRI including CVR
No confounding neurologic, psychiatric, or medical disease
*Participants with normal cognition must meet at least one criterion (diabetes, OR hypertension plus, OR MRI factors) for vascular risk prior to enrollment:
Diabetes (at least one of the following):
Hypertension plus (at least two of the following):
MRI factors (at least one of the following):
Exclusion Criteria:
Neurologic Disease: Based on the available data and investigator's impression, exclude those with confounding neurologic disease that would interfere with test performance or with biomarker analysis:
Frontotemporal lobar degeneration (FTLD)
Lewy body dementia (LBD)
Parkinson's disease
Multi system atrophy
Traumatic brain injury (TBI)-related cognitive impairment
TBI that interferes with MRI biomarker analyses (e.g., large volume traumatic lesion)
Non-small vessel strokes that interfere with test performance (e.g., post-stroke cognitive impairment or aphasia)
Non-small vessel strokes that interfere with MRI biomarker analysis (e.g., large volume strokes)
CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy)
Individuals known to be receiving, or planning to receive, anti-amyloid immunotherapy*
Other neurologic conditions that interfere with test performance or biomarker analysis
Medical and Psychiatric Conditions: Exclude those with medical and psychiatric conditions that would confound the course or interfere with test performance:
Schizophrenia or other active/severe psychotic disorders
Medical or psychiatric conditions likely to interfere with participation or retention (e.g., metastatic or malignant CNS cancer, active/severe depression or anxiety, HIV- Associated Neurocognitive Disorder)
Contraindications to MRI procedures, such as:
Contraindications to CVR:
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The study population will be selected from a variety of sources across the MarkVCID Consortium sites. These sources include, but are not limited to:
MarkVCID1 or other research studies
Alzheimer's Disease Research Center database
Patient registries such as Volunteer for Health
Community centers or organizations
Clinics:
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| Name | Affiliation | Role |
|---|---|---|
| Steven M. Greenberg, MD, PhD | Massachusetts General Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Southern California | Los Angeles | California | 90033 | United States | ||
| University of California Los Angeles |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30376508 | Background | Besser L, Kukull W, Knopman DS, Chui H, Galasko D, Weintraub S, Jicha G, Carlsson C, Burns J, Quinn J, Sweet RA, Rascovsky K, Teylan M, Beekly D, Thomas G, Bollenbeck M, Monsell S, Mock C, Zhou XH, Thomas N, Robichaud E, Dean M, Hubbard J, Jacka M, Schwabe-Fry K, Wu J, Phelps C, Morris JC; Neuropsychology Work Group, Directors, and Clinical Core leaders of the National Institute on Aging-funded US Alzheimer's Disease Centers. Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord. 2018 Oct-Dec;32(4):351-358. doi: 10.1097/WAD.0000000000000279. | |
| 33215852 |
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MarkVCID research openly shares both within and outside the MarkVCID Consortium to the greatest extent practical. As per the MarkVCID Consortium's Charter, MarkVCID investigators are granted broad access to MarkVCID data, samples, analytic tools, and other resources with relevant permissions in place. MarkVCID data and samples may also be shared with external collaborators in compliance with the Consortium's external data sharing policies outlined in the MarkVCID Data Use Agreement. The process for requesting data and biosamples is described below.
Internal
All MarkVCID research sites sign a Consortium Research Agreement governing the sharing of data and biosamples. Data entered in MarkVCID data systems by the research sites becomes available to all MarkVCID members, in accordance with the MarkVCID Data Sharing, Analysis, and Publications Policy and the MarkVCID Research Agreement.
External
If the request is approved by the MarkVCID Steering Committee, external users sign the DUA to gain access to the data. If biosamples are requested, external users will execute a Material Transfer Agreement (MTA) with the institution(s) providing samples. Biosamples typically ship within 3 months. Electronic data stored by the MarkVCID Consortium repository becomes available to the investigator about 3 weeks after project approval and signing of the DUA. Investigators requesting access to data and biosamples not held by the MarkVCID repository must contact relevant institution(s) and are subject to longer wait times.
A MarkVCID Project Proposal Form must be submitted for data and biosample requests. The form requires an overview, a description of requested data and/or biosamples, assays, experiments to be conducted, and publication plans. Data requests will be reviewed by the Sharing Subcommittee and biosample requests by the Fluid-Based Biomarkers Subcommittee. Reviews will be based on scientific rationale, overlap with already approved analyses, and, for biosample requests, the scientific priority of the study relative to the number of available biosamples. The Steering Committee will then review proposal recommendations and determine approval. Investigators with approved proposals will sign a DUA and receive applicable data via Globus encrypted transfer. Investigators with approved biosample requests will execute necessary MTAs and receive deidentified biosamples from holding sites.
Internal requests related to primary hypotheses of prespecified biomarker kits are exempt from the above.
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| OTHER |
| University of Kentucky | OTHER |
| Rush University Medical Center | OTHER |
| University of Maryland, Baltimore | OTHER |
| University of California, San Francisco | OTHER |
| University of California, Los Angeles | OTHER |
| University of California, Davis | OTHER |
| University of Texas | OTHER |
| The University of Texas Health Science Center at San Antonio | OTHER |
| The University of Texas Health Science Center, Houston | OTHER |
| Mayo Clinic | OTHER |
| University of Mississippi Medical Center | OTHER |
| Washington University School of Medicine | OTHER |
| Olive View-UCLA Education & Research Institute | OTHER |
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The MarkVCID study will collect serum, plasma, and packed cell samples from all participants each year, as possible. Consortium sites are expected to collect and store for consortium use between 4-5ml plasma, 4-5ml serum (5ml preferred for both sample types when possible), and 3-4ml packed cells for DNA extraction.
|
| Mild Dementia | Mild dementia is defined as:
|
|
| The cognitive battery is implemented, and executive function calculated, at Baseline and Years 1, 2 and 3 post-baseline. |
| Los Angeles |
| California |
| 90095 |
| United States |
| University of California Davis | Sacramento | California | 95817 | United States |
| University of California San Francisco | San Francisco | California | 94158 | United States |
| Olive View - UCLA Medical Center | Sylmar | California | 91342 | United States |
| Mayo Clinic Florida | Jacksonville | Florida | 32224 | United States |
| Rush University Medical Center & Illinois Institute of Technology | Chicago | Illinois | 60612 | United States |
| University of Kentucky | Lexington | Kentucky | 40536 | United States |
| University of Maryland, Baltimore | Baltimore | Maryland | 21201 | United States |
| Johns Hopkins University | Baltimore | Maryland | 21287 | United States |
| Mayo Clinic Rochester | Rochester | Minnesota | 55901 | United States |
| University of Mississippi Medical Center | Jackson | Mississippi | 39216 | United States |
| Washington University in St. Louis | St Louis | Missouri | 63110 | United States |
| University of New Mexico | Albuquerque | New Mexico | 87131 | United States |
| University of Texas Southwestern | Dallas | Texas | 75390 | United States |
| University of Texas Health Science Center Houston | Houston | Texas | 77030 | United States |
| University of Texas Health Science Center San Antonio | San Antonio | Texas | 78229 | United States |
| Background |
| Staffaroni AM, Asken BM, Casaletto KB, Fonseca C, You M, Rosen HJ, Boxer AL, Elahi FM, Kornak J, Mungas D, Kramer JH. Development and validation of the Uniform Data Set (v3.0) executive function composite score (UDS3-EF). Alzheimers Dement. 2021 Apr;17(4):574-583. doi: 10.1002/alz.12214. Epub 2020 Nov 20. |
| 39692213 | Derived | Kern KC, Vohra M, Thirion ML, Wang DJJ, Wilcock DM, Thompson JF, Rosenberg GA, Sagare A, Moghekar A, Lu H, Lee T, Elahi FM, Satizabal CL, Tracy R, Seshadri S, Schwab K, Helmer K, Singh H, Kivisakk P, Greenberg SM, Vossel K, Kramer JH, Maillard P, DeCarli CS, Hinman JD. White matter free water mediates the associations between placental growth factor, white matter hyperintensities, and cognitive status. Alzheimers Dement. 2025 Feb;21(2):e14408. doi: 10.1002/alz.14408. Epub 2024 Dec 18. |
| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| D003704 | Dementia |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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