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Record W4250047821 · doi:10.1016/j.jalz.2016.06.608

O4‐01‐03: AMYLOID‐B AND HYPERPHOSPHORYLATED TAU SYNERGY DRIVES CLINICAL PROGRESSION TO ALZHEIMER’S DISEASE

2016· article· en· W4250047821 on OpenAlexaff
Tharick A. Pascoal, Sulantha Mathotaarachchi, Andréa Lessa Benedet, Monica Shin, Seqian Wang, Min Su Kang, Sara Mohades, Thomas Beaudry, Aurélie Labbe, Jean‐Paul Soucy, Serge Gauthier, Pedro Rosa‐Neto

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill Genome CentreMontreal Neurological Institute and HospitalDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsDementiaNeuropsychologyOncologyInternal medicinePositron emission tomographyPsychologyBiomarkerVoxelClinical Dementia RatingLogistic regressionCognitionMedicineDiseaseNeuroscienceBiologyRadiology

Abstract

fetched live from OpenAlex

Conceptual framework suggests that the synergism between amyloid-β (Aβ) and phosphorylated tau (p-tau) aggregates determines structural and functional abnormalities in cognitively normal individuals. Our study was designed to test the hypothesis that clinical progression to Alzheimer’s disease dementia (AD) in patients with mild cognitive impairment (MCI) is dependent on the synergism between Aβ and p-tau rather than merely additive effects of overlapping brain pathologies. We categorized 310 ADNI participants with amnestic MCI in four biomarker groups based on elevated or non-elevated Aβ positron emission tomography (PET) using [F]Florbetapir ligand and cerebrospinal fluid p-tau biomarkers (Table 1). Clinical and neuropsychological evaluations were performed at baseline and at 2 years including memory, executive function, psychomotor speed processing, and language. Regression interaction models evaluated changes in cognition and clinical status as a function of baseline imaging and fluid biomarkers. Using Voxel-Stats, we built a voxel-based logistic regression model in order to test the association between Aβ PET at every voxel and p-tau status as determinant of progression to dementia, assuming the probability of progression as p’: Log p’ / 1-p’ = β0 + β1(florbetapir SUVR) + β2(CSF p-tau status) + β3(florbetapir SUVR*p-tau status) + covariates + error. All models were adjusted for age, gender, education, APOE ε4 status and corrected for multiple comparison testing using Bonferroni at P < 0.05. We found that Aβ+/p-tau+ individuals had the highest rate of clinical and neuropsychological decline in all cognitive domains as compared to Aβ+/p-tau−, Aβ−/p-tau+ and Aβ−/p-tau−, which did not differ from one another. Notably, regression interaction models confirmed that the synergistic effect between Aβ and p-tau abnormalities best-predicted cognitive decline and clinical progression to dementia, as compared to the sum of their independent effects. Finally, voxel-based logistic regression analysis revealed that the lateral and basal temporal and inferior parietal cortices were the brain regions where the synergistic effect between Aβ and p-tau status determined an increased likelihood of progression to dementia (Figure 1). Together, the present results suggest that clinical progression to AD is driven by a synergistic rather than a merely additive effect between Aβ aggregation and tau hyperphosphorylation.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.037
GPT teacher head0.360
Teacher spread0.323 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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