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Record W4312086610 · doi:10.1002/alz.068159

The effects of age and sex on plasma p‐tau181 concentrations in Alzheimer’s Disease

2022· article· en· W4312086610 on OpenAlexaff
Pankaj Kumar, Jeroen Vanbrabant, Mary Joy Encarnacion, Ali Mousavi, Ging‐Yuek Robin Hsiung, Erik Stoops, Eugeen Vanmechelen, Hans Frykman

Bibliographic record

VenueAlzheimer s & Dementia · 2022
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDementiaInternal medicineDiseaseCognitive impairmentAlzheimer's diseaseAge groupsGastroenterologyDemography

Abstract

fetched live from OpenAlex

Abstract Background Quantifying levels of phosphorylated tau in plasma is a highly promising and specific marker for Alzheimer’s disease (AD), but limited data are available on the effect of age on plasma p‐tau181 concentrations in specific clinical groups and especially control subjects. Similarly, the effect of sex on concentration of plasma ptau‐181 levels are unclear. Method A total of 343 samples of EDTA plasma from patients examined at the UBC Hospital Alzheimer Clinic between 2008 – 2018 included. The patients had been referred with complaint of cognitive impairment and were assessed for dementia and they sorted into four diagnostic groups: Non‐Cognitive Impairment (NCI), non‐ AD neurodegenerative diseases, possible AD, and probable AD, according to US National Institute on Aging (NIA) and the Alzheimer’s Association (AA) criteria diagnosis. The concentrations of their plasma p‐tau181 was measured by a homebrew ADX assay on SIMOA HD‐X platform. We analysed the effect of age and sex on the concentrations of plasma p‐tau181 among and within clinically defined groups. We also assessed p‐tau181 levels in a separate group of healthy individuals (n=60). Result There was no significant sex difference in p‐tau181 levels across and between the diagnostic categories (p=0.426). We also confirmed there was not any correlation between age and p‐tau181 levels in healthy controls. Moreover, we did not find any correlation between the age and plasma concentrations of p‐tau181 within each diagnostic group separately. Further with two model linear regression, age was not found to be a significant contributor of plasma p‐tau181 variations (F (3, 429) = 109.04, B=.16, t= 1.42, p<0.16). Interestingly, there was a correlation between average of plasma p‐tau181 with age among the spectrum from NCI to AD. Conclusion We did not detect any sex difference in plasma p‐tau181 levels. Our findings about the age‐effect of plasma p‐tau181 levels especially within and among diagnostic groups might be described by the intricate dynamics, and kinetics of p‐tau181 in brain and plasma and it needs to investigate with larger healthy control population and multicenter clinical studies.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.298
Teacher spread0.275 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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