MétaCan
Menu
Back to cohort
Record W7117303940 · doi:10.1002/alz70856_104086

The role of tau and amyloid pathology in neurosensory impairments during preclinical Alzheimer's disease

2025· article· en· W7117303940 on OpenAlexaff
Daniel C. Bowie, Yara Yakoub, Valentin Ourry, Ting Qiu, Fernando González‐Ortiz, Kaj Blennow, Henrik Zetterberg, Josée Poirier, Sylvia Villeneuve

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsDiseasePathologicalAmyloid (mycology)Degenerative diseaseDomain (mathematical analysis)Amyloid β

Abstract

fetched live from OpenAlex

Abstract Background Prior cross‐sectional studies in the PREVENT‐AD cohort indicate that increased concentrations of p ‐tau181 in cerebrospinal fluid are linked to impairments in odor identification (OI; Lafaille‐Magnan et al., 2017) and central auditory processing (CAP; Tuwaig et al., 2017). However, the extent to which AD pathology is predictive of change in neurosensory impairments remains unclear. To clarify these relationships, we examined how OI and CAP differ, cross‐sectionally and longitudinally, according to amyloid and tau (A/T) status based on PET. To support our findings, we replicated our results using baseline plasma A/T status. Method We studied 233 participants from the PREVENT‐AD cohort who had at least one value for each of the following measures: amyloid PET ([ 18 F]NAV4694), tau PET ([18F]AV‐1451), University of Pennsylvania Smell Identification Test (UPSIT), and Dichotic Sentence Identification test (DSI). Amyloid and tau PET thresholds were Centiloid=18 and SUVR=1.29, respectively. A partially overlapping subset of participants ( n = 208) had values for plasma Aβ 42 and Aβ 40 concentrations measured using ultrasensitive immunoprecipitation coupled with mass spectrometry (IP‐MS) technique. Plasma p ‐tau217 concentrations were quantified using the University of Gothenburg assay. Plasma amyloid positivity was determined by implementing a data‐driven algorithm (Dumurgier et al., 2022). Kruskal‐Wallis and Dunn's tests were conducted to assess baseline differences in olfaction and audition according to PET or plasma A/T status. Linear mixed effects models analyzed change over time in neurosensory abilities, by A/T group, while controlling for age, sex, and education. Results For PET‐based classification, A+T− exhibited lower OI scores than A−T− (Figure 1a). For plasma‐based classification, A+T+ displayed lower OI scores than A+T− and A−T− (Figure 1c). Longitudinally, the rate of decline in OI was largest in A+T+, but this result was only significant for plasma (Figure 1g). No associations were found with CAP. Conclusion Our analyses suggest that the presence of pathological amyloid and tau (A+T+) is associated with declines in the neurosensory domain of odor identification. Future studies should examine whether similar trends are observed for other neurosensory domains such as vision and gustation.

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 score0.007

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 head0.058
GPT teacher head0.295
Teacher spread0.236 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & DementiaSame topicOlfactory and Sensory Function StudiesFrench-language works237,207