MétaCan
Menu
← Back to cohort
Record W4312086314 · doi:10.1002/alz.069305

Simultaneous Mass Spectrometric quantification of multiple p‐tau species in plasma – findings along the Alzheimer´s disease continuum

2022· article· en· W4312086314 on OpenAlexaffabout
Laia Montoliu‐Gaya, Andréa Lessa Benedet, Wagner S. Brum, Agathe Vrillon, Nicholas J. Ashton, Juan Lantero‐Rodriguez, Gunnar Brinkmalm, Johanna Nilsson, Thomas K. Karikari, Silke Kern, Henrik Zetterberg, Claire Paquet, Pedro Rosa‐Neto, Johan Gobom, Kaj Blennow

Bibliographic record

VenueAlzheimer s & Dementia · 2022
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsMcGill University Health CentreDouglas Mental Health University Institute
Fundersnot available
KeywordsCohortChemistryInternal medicineTau proteinVoxelOncologyAlzheimer's diseaseDiseasePsychologyPathologyNuclear medicineMedicine

Abstract

fetched live from OpenAlex

Abstract Background Blood phosphorylated tau (p‐tau) species at positions 181, 217 and 231 have been demonstrated accurate biomarkers of Alzheimer´s disease pathology. Comparisons to assess the performance of each phosphorylation along the Alzheimer´s disease (AD) continuum rely on the use of different immunoassays. In the current study, we simultaneously quantified the plasma concentration of six different phosphorylated (p‐tau 181, 199, 202, 205, 217 and 231), and two non‐phosphorylated, tau peptides using a targeted Mass Spectrometric (MS) method. Method We analysed a total of 224 samples from two centres, the TRIAD cohort (Canada) and the BioCogBank Paris Lariboisière cohort (France). Tau enrichment prior to MS analysis was performed by immunoprecipitation, using a combination of several non‐phospho‐tau antibodies, followed by tryptic digestion. A parallel reaction monitoring method with Orbitrap MS was used to measure the levels of targeted peptides. Group‐level comparisons were carried with non‐parametric tests. Cross‐sectional associations between plasma tau biomarkers and Aβ and tau PET were investigated using the locally estimated scatterplot smoothing (LOESS) method for local polynomial regression. Voxel‐wise correlations were performed between plasma and PET biomarkers using Rminc. Result P‐tau231 levels were significantly increased in amyloid positive and tau negative (A+T‐) individuals compared to A‐T‐ (stratified by CSF biomarkers). Increases in p‐tau217 and p‐tau205 emerged later in the AD continuum, only when tau pathology was present (A+T+). Plasma p‐tau217, p‐tau231 and p‐tau205 were the site‐specific phosphorylations that showed higher correlations with Tau PET (Braak I‐VI) (R=0.7 p<0.0001; R=0.53 p<0.0001; and R=0.53 p<0.0001; respectively) and with Aβ PET (R=0.66 p<0.0001; R=0.56 p<0.0001; R=0.45 p<0.0001, respectively). LOESS analysis revealed that plasma p‐tau231 increases earlier in the disease progression, followed by p‐tau217 and p‐tau205, which showed a progressive increase along Braak stages and amyloid centiloid. Voxel‐wise analysis for tau PET were highest with p‐tau205 with associations in in the inferior, medial, and lateral temporal regions. For Aβ PET, p‐tau217 and p‐tau205 showed the highest associations with frontal, precuneus, posterior cingulate and temporal cortices. Conclusion Our results indicate that plasma p‐tau217, p‐tau231 and p‐tau205 are the site‐specific phosphorylations that better reflect amyloid and tau pathologies, although with different emergence along the AD continuum.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.037
GPT teacher head0.290
Teacher spread0.253 · 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 routes2
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicAlzheimer's disease research and treatments→French-language works237,207→