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Record W4248738560 · doi:10.1016/j.jalz.2016.06.1937

P3‐274: High CSF TAU is Related to Reduced Hippocampal Volume and Subjective Cognitive Decline in Healthy Elderly with Amyloid Pathology

2016· article· en· W4248738560 on OpenAlexaff
Alexa Pichet Binette, Jacob W. Vogel, Vladimir Fonov, Jennifer Tremblay‐Mercier, Cécile Madjar, John C.S. Breitner, D. Louis Collins, Judes Poirier, Sylvia Villeneuve

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMontreal Neurological Institute and HospitalDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsCerebrospinal fluidMedicineInternal medicineApolipoprotein EHippocampal formationDementiaCohortPathologyAlzheimer's diseasePsychologyOncologyDisease

Abstract

fetched live from OpenAlex

In preclinical stages of Alzheimer’s disease (AD), questions remain about relationships in cerebrospinal fluid (CSF) between amyloid beta (Aβ) or tau proteins and other markers of AD pathogenesis. In the PREVENT-AD cohort of cognitively normal older adults with a parental history of AD-like dementia, we assessed distributions of CSF Aβ and tau and their relation to brain integrity and cognitive function. We assessed levels of Aβ1-42 and phosphorylated tau (181P-tau) in 93 individuals (age: 63y. s.d. 5.57). Using cut-offs at the 25th percentile, we dichotomized participants as having high (CSF Aβ1-42<869) or low (CSF Aβ1-42>869) Aβ pathology (Fig.1). We then ran general linear models to assess CSF proteins and AD markers using age as a covariate. We measured hippocampal volume (adjusted for intracranial volume) as an important indicator of brain integrity. We relied on total score from the Repeatable Battery for Assessment of Neuropsychological Status (RBANS), and self-report of the participant’s memory compared to 20 years ago to indicate objective and subjective cognitive status respectively. The association between levels of Aβ1-42 and P-tau was clearly dependent on APOE-e4 status (interaction p<0.01, Fig. 2). In e4 carriers, we observed an expected relationship of higher Aβ pathology (lower CSF values) with higher P-tau, but the inverse was found in non-carriers. The association between lower hippocampal volume and higher CSF P-tau was driven by participants with Aβ pathology (interaction p=0.017, Fig. 3). The association between higher P-tau and the presence of a subjective cognitive complaint was also driven by individuals with Aβ pathology (interaction, p=0.04). There was no interaction between Aβ groups and P-tau on cognitive performance, although total RBANS score declines with elevated P-tau (p=0.013, Fig. 4). Our results suggest that in cognitively normal elderly at risk of AD, individuals with both high P-tau and low Aβ1-42 levels already present associations between CSF measurements and brain integrity or subjective cognitive assessment. Aβ1-42 and P-tau CSF markers, when used conjointly, might therefore be valuable markers to identify candidates for preventive trials. Distribution of CSF Aβ42 (left) and phosphorylated tau (right) Regression analysis showing an interactive effect between P-tau and APOE4 on CSF Aβ42. p values: P-tau, ns; ApoE4, ns; interaction P-tau*ApoE4, p < 0.01. Regression analysis showing an interactive effect between P-tau and Aβ1–42 on hippocampal volume (HV). p values: P-tau, ns; Aβ, ns; interaction P-tau*Aβ, p = 0.017. Low Aβ pathology = CSF value > 869 ; High Aβ pathology = CSF value < 869. Regression analysis showing a significant effect of P-tau on RBANS total score, p values: P-tau, p = 0.013; Aβ, ns; P-tau*Aβ, ns. Low Aβ pathology = CSF value > 869 ; High Aβ pathology = CSF value < 869.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.303
Teacher spread0.287 · 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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