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Associations between Vascular Function and Tau PET Are Associated with Global Cognition and Amyloid

2020· article· en· W3091990230 on OpenAlexfundaboutno aff
Daniel Albrecht, A. Lisette Isenberg, Joy Stradford, Teresa Monreal, Abhay P. Sagare, Maricarmen Pachicano, Melanie D. Sweeney, Arthur W. Toga, Berislav V. Zloković, Helena C. Chui, Elizabeth Joe, Lon S. Schneider, Peter S. Conti, Kay Jann, Judy Pa

Bibliographic record

VenueJournal of Neuroscience · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchNational Institutes of HealthGenentechIXICOH. Lundbeck A/SServierEisaiF. Hoffmann-La RocheFondation LeducqNorthern California Institute for Research and EducationPfizerBiogenBioClinicaUniversity of Southern CaliforniaEli Lilly and CompanyU.S. Department of DefenseMeso Scale DiagnosticsAlzheimer's Disease Neuroimaging InitiativeNovartis Pharmaceuticals CorporationBristol-Myers SquibbNational Institute on AgingAlzheimer's AssociationFoundation for the National Institutes of Health
KeywordsCognitionPositron emission tomographyPsychologyInternal medicineCerebral blood flowCognitive declineAmyloid (mycology)MedicineDiseaseNeuroscienceCardiologyPathologyDementia

Abstract

fetched live from OpenAlex

Tau pathology and vascular dysfunction are important contributors to Alzheimer's disease (AD), but vascular–tau associations and their effects on cognition are poorly understood. We investigated these associations in male and female humans by conducting voxelwise comparisons between cerebral blood flow (CBF) and tau positron emission tomography (PET) images in independent discovery [cognitively normal (CN), 19; mild cognitive impairment (MCI) risk, 43; MCI, 6] and replication (CN,73; MCI, 45; AD, 20) cohorts. In a subgroup, we assessed relationships between tau and soluble platelet-derived growth factor β (sPDGFRβ), a CSF marker of pericyte injury. We tested whether CBF/sPDGFRβ–tau relationships differed based on Montreal Cognitive Assessment (MoCA) global cognition performance, or based on amyloid burden. Mediation analyses assessed relationships among CBF/sPDGFRβ, tau, and cognition. Negative CBF–tau correlations were observed predominantly in temporal-parietal regions. In the replication cohort, early negative CBF–tau correlations increased in spatial extent and in strength of correlation with increased disease severity. Stronger CBF–tau and sPDGFRβ–tau correlations were observed in participants with greater amyloid burden and lower MoCA scores. Importantly, when stratifying by amyloid status, stronger CBF–tau relationships in individuals with lower MoCA scores were driven by amyloid+participants. Tau PET was a significant mediator CBF/sPDGFRβ–MoCA relationships in numerous regions. Our results demonstrate vascular–tau associations across the AD spectrum and suggest that early vascular–tau associations are exacerbated in the presence of amyloid, consistent with a two-hit model of AD on cognition. Combination treatments targeting vascular health, as well as amyloid-β and tau levels, may preserve cognitive function more effectively than single-target therapies. SIGNIFICANCE STATEMENTEmerging evidence demonstrates a role for vascular dysfunction as a significant contributor to Alzheimer's pathophysiology. However, associations between vascular dysfunction and tau pathology, and their effects on cognition remain poorly understood. Multimodal neuroimaging data from two independent cohorts were analyzed to provide novelin vivoevidence of associations between cerebral blood flow (CBF), an MRI measure of vascular health, and tau pathology using PET. CBF–tau associations were related to cognition and driven in part by amyloid burden. Soluble platelet-derived growth factor β, an independent CSF vascular biomarker, confirmed vascular–tau associations in a subgroup analysis. These results suggest that combination treatments targeting vascular health, amyloid-β, and tau levels may more effectively preserve cognitive function than single-target therapies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.298
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations89
Published2020
Admission routes2
Has abstractyes

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