ArticleAnnals of neurology2026
MarkVCID2 Consortium for Clinical Validation of Biomarkers of Cerebral Small Vessel Disease: Validation Framework and Baseline Characteristics.
Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Age, Multidomain Lifestyle Intervention, and White Matter Integrity: Secondary Analysis of the POINTER Randomized Clinical Trial.JAMA network open · 2026Trial
- Cerebral oxygen extraction fraction as a physiological biomarker in vascular cognitive impairment: A study in older adults enriched for small vessel diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Early identification of vascular cognitive impairment from a multimodal perspective: a combined diagnosis from targeted cognitive assessments, imaging biomarkers, and molecular fluid biomarkers to ecological behavioral characteristics.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Association Between Gas-Free Cerebrovascular Reactivity (CVR) and Cognitive Function in Older Adults With a High Risk for Vascular Dementia.Journal of magnetic resonance imaging : JMRI · 2026Article
- Regional diffusion imaging measures to disentangle SVD-related hypertensive arteriopathy versus cerebral amyloid angiopathy.Molecular neurodegeneration · 2026Article
- The international society of vascular behavioural and cognitive disorders: highlights from VasCog 2025 in the UK.Cerebral circulation - cognition and behavior · 2026Article
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Authors and funding
45 authors.
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Abstract
objectiveTo establish a framework for validating candidate biomarkers of cerebral small vessel diseases (SVD) associated with cognitive impairment and characterize individuals enrolled by the MarkVCID2 consortium under this framework.
methodsParticipants age 60 to 90 years were enrolled across 17 MarkVCID2 sites. Recruitment was targeted to enrich in cognitive symptoms (mild dementia, mild cognitive impairment, subjective cognitive decline), defined risk factors (diabetes mellitus, advanced hypertension), and Black/African American, White, and Hispanic/Latino subgroups. Enrolled participants underwent baseline visits that included cognitive testing, multimodal magnetic resonance imaging (MRI), and biofluid collection. Provisional risk for SVD-related cognitive decline was estimated primarily by baseline cognitive symptoms plus SVD risk factors. Adjudicated risk status was estimated by cognitive symptoms plus presence of moderate-to-severe white matter hyperintensities, microbleeds, or lacunes on baseline MRI.
resultsMarkVCID2 enrolled 1883 individuals age 73.4 ± 7.5 years, 65.0% female, 24.2% Hispanic, and 27.1% non-Hispanic Black. Among enrollees, 44.8% were provisionally designated high-risk. After baseline MRI, 48.5% were categorized as adjudicated high-risk status, with substantial recategorization both from low- to high-risk (primarily because of MRI lesions without SVD risk factors) and high- to low-risk (primarily suspected cognitive impairment at screening not confirmed by baseline testing).
interpretationMarkVCID2 baseline data indicate successful enrollment of diverse individuals enriched in factors associated with SVD-related cognitive decline. Changes over 3 years of longitudinal follow-up will be analyzed to validate the candidate biomarkers for 2 projected contexts of use: subject selection (identifying likelihood of future SVD progression) and study outcome (efficiently measuring SVD progression). ANN NEUROL 2026;99:449-458.
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