Cited by 189Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCerebrospinal fluid and hydrocephalus

The DOI matches its Crossref record; 65 of the 67 references it cites were found in a registry or an index; 44 of the 60 sources its claims cite were checked for support.

Cerebrospinal fluid p-tau231 as an early indicator of emerging pathology in Alzheimer's disease

Open access

Published version of a preprint

Abstract

Abstract Biomarkers for early phosphorylation of tau constitute an unmet need for disease modifying intervention in early stages of Alzheimer’s disease (AD). Recent advances in targeted mass spectrometry and immunoassays have revealed phosphorylation sites, in the cerebrospinal fluid (CSF), with potentially greater utility as preclinical and diagnostic biomarkers as compared to the well validated biomarker – phosphorylated tau at threonine 181 (p-tau181). Phosphorylated tau (p-tau) epitopes in cerebrospinal fluid (CSF) are highly accurate biomarkers for Alzheimer’s disease (AD) neuropathology and are already increased before cognitive symptoms have manifested. However, it is unknown if these preclinical increases transpire earlier, prior to amyloid-beta (Aβ) positivity threshold, and if an ordinal sequence of p-tau epitopes occurs at this incipient phase. In this study, we measured cerebrospinal (CSF) p-tau181, p-tau217 and p-tau231 in 171 participants across the AD continuum compared to AD neuropathology as indexed by Ab ([18F]AZD4694) and tau ([18F]MK6240) position emission tomography. CSF P-tau217 and p-tau231 predicted Aβ and tau at the preclinical and dementia stages to a similar degree but p-tau231 attained abnormal levels first. P-tau231 was more sensitive to the earliest changes in Aβ in the medial orbitofrontal, precuneus and posterior cingulate cortices before global Aβ PET positivity had been achieved. Our findings demonstrate that CSF p-tau231 increases early in development of AD pathology and is a principal candidate for detecting incipient Aβ pathology for therapeutic trial application.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In 171 TRIAD participants across the AD continuum, CSF p-tau231, p-tau217, and p-tau181 all predicted AD-related PET and clinical outcomes, but p-tau231 showed the earliest abnormality and strongest regional association with emerging Aβ deposition. CSF p-tau231 became abnormal before global Aβ PET positivity, particularly in medial orbitofrontal, precuneus, and posterior cingulate regions.

Key findings

  • All CSF p-tau biomarkers predicted cognitive impairment, but p-tau217 showed the largest fold-changes: 6-fold higher in CI Aβ+ vs CU Aβ−, 4.7-fold in CI Aβ+ vs CI Aβ−, and 5.9-fold in MCI Aβ+ and 7.1-fold in AD vs CU Aβ−; versus non-AD, MCI Aβ+ was 4.8-fold and AD 5.8-fold.
  • p-tau231 and p-tau217 had similar correlations with Aβ PET (r = 0.81 and 0.79) and tau PET (r = 0.74 and 0.73), both stronger than p-tau181 (r = 0.70 for Aβ PET; r = 0.66 for tau PET). For Aβ PET status, AUC was 0.95 for p-tau231, 0.95 for p-tau217, and 0.88 for p-tau181; in CU individuals, p-tau231 AUC was 0.91 vs 0.82 for p-tau181.
  • p-tau231 reached abnormal levels first: in the whole cohort at approximately Centiloid 37, followed by p-tau181 at 47 and p-tau217 at 50; within CU individuals, p-tau231 became abnormal at Centiloid 38.3 while p-tau217 and p-tau181 became abnormal at Centiloids >50.
  • In CU Aβ− individuals, p-tau231 showed focal associations with [18F]AZD4694 uptake in the medial orbitofrontal, precuneus, and posterior/isthmus cingulate cortices before global Aβ PET positivity.

Methods

  • Cross-sectional study from the TRIAD cohort including 171 participants (27 young <30 years; 82 CU; 20 MCI; 21 AD; 21 non-AD) with CSF and PET imaging available; Aβ PET used [18F]AZD4694 and tau PET used [18F]MK6240, alongside clinical assessment.
  • CSF p-tau181 and p-tau217 were measured by Simoa assays; p-tau231 was measured by a research ELISA. Analyses included Spearman correlations, linear models adjusted for age and sex, ROC/AUC with DeLong tests, voxel-wise VoxelStats analyses with random field theory correction, and locally weighted polynomial regression using Aβ PET Centiloids as a disease-progression proxy.

Limitations

  • Stated: the cross-sectional design cannot definitively describe an ordinal sequence of CSF p-tau biomarkers; longitudinal studies are required. The main p-tau231 finding is based on 83 CU Aβ− individuals and should be replicated in an independent cohort not enriched for AD; Aβ42/p-tau ratios need larger cohorts.
  • Stated: cross-sectional Aβ PET Centiloids as a proxy of disease time may not indicate a more advanced disease state; p-tau biomarkers were measured on different platforms/antibody configurations (Simoa vs ELISA), so subtle performance differences could reflect platform or antibody effects, and the specific abundance of toxic cis p-tau231 species was not determined.
  • Evident from the text: diagnostic subgroups are small (20 MCI, 21 AD, 21 non-AD) and the study draws from a single TRIAD cohort, which limits precision and generalizability; the authors do not list these as limitations.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.ebiom.2022.103836

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Phosphorylated tau CSF epitopes by group. Distribution of CSF biomarkers concentrations across groups showing higher biomarker levels associated with Aβ positivity. CU-: cognitively unimpaired Aβ negative; CU+: cognitively unimpaired Aβ positive; CI-: cognitively impaired Aβ negative; CI+: cognitively impaired Aβ positive; MCI+: mild cognitively impaired Aβ positive; AD: Alzheimer's disease dementia; Non-AD: mild cognitively impaired Aβ negative and frontotemporal dementia (FTD). ⁎⁎⁎P<0.001; ⁎⁎P<0.01; *P<0.05 (Tukey HSD adjusted).
Figure 1 Phosphorylated tau CSF epitopes by group. Distribution of CSF biomarkers concentrations across groups showing higher biomarker levels associated with Aβ positivity. CU-: cognitively unimpaired Aβ negative; CU+: cognitively unimpaired Aβ positive; CI-: cognitively impaired Aβ negative; CI+: cognitively impaired Aβ positive; MCI+: mild cognitively impaired Aβ positive; AD: Alzheimer's disease dementia; Non-AD: mild cognitively impaired Aβ negative and frontotemporal dementia (FTD). ⁎⁎⁎P<0.001; ⁎⁎P<0.01; *P<0.05 (Tukey HSD adjusted).CC BY-NC-ND · PubMed Central
Figure 2 Phosphorylated tau CSF epitopes and Tau PET associations. Spearman rank correlations between CSF biomarkers and tau PET ([18F]MK6240) across all groups show p-tau231 as having the highest correlation coefficient, followed by p-tau217 (a–c). The accuracy of CSF biomarkers in distinguishing tau PET status (positive vs negative) is evidenced by AUCs as shown in (d). T-parametric maps show the voxel-wise association between CSF biomarkers and [18F]MK6240 in all participants (e) as well as within CI (f) and CU (g). Models were adjusted for age and sex and RFT was used to account for multiple comparisons (significant t-values > 3.1). CU: cognitively unimpaired; CI: cognitively impaired.
Figure 2 Phosphorylated tau CSF epitopes and Tau PET associations. Spearman rank correlations between CSF biomarkers and tau PET ([18F]MK6240) across all groups show p-tau231 as having the highest correlation coefficient, followed by p-tau217 (a–c). The accuracy of CSF biomarkers in distinguishing tau PET status (positive vs negative) is evidenced by AUCs as shown in (d). T-parametric maps show the voxel-wise association between CSF biomarkers and [18F]MK6240 in all participants (e) as well as within CI (f) and CU (g). Models were adjusted for age and sex and RFT was used to account for multiple comparisons (significant t-values > 3.1). CU: cognitively unimpaired; CI: cognitively impaired.CC BY-NC-ND · PubMed Central
Figure 3 Phosphorylated tau CSF epitopes and Aβ PET associations. Spearman rank correlations between CSF biomarkers and Aβ PET ([18F]AZD4694) across all groups show p-tau231 as having the highest correlation coefficient (a-c). The accuracy of CSF biomarkers in distinguishing Aβ PET status (positive vs negative) is evidenced by AUCs as shown in (d). T-parametric maps show the voxel-wise association between CSF biomarkers and [18F]AZD4694 in all participants (e) as well as within CI (f) and CU (g). Models were adjusted by age and sex and RFT was used to account for multiple comparisons (significant t-values > 3.1). The dot plot (h) shows the average slope (beta) values by ROI for each of the CSF biomarkers. The beta value was derived from linear models that had Aβ PET as the outcome measure, the CSF biomarkers were the predictors and the covariates were sex and age. These models were performed at the voxel level and the CSF p-tau beta values of each voxel were averaged within ROIs. Were included in the ROIs only the voxels that had a significant association between Aβ PET and all of the CSF biomarkers evaluated here. T-parametric maps (i) show the voxel-wise association between CSF biomarkers (p-tau231, p-tau217 and p-tau181) and [18F]AZD4694 in Aβ-negative CU subjects. Models were adjusted for age and sex and RFT was used to account for multiple comparisons (significant t-values > 3.1). In addition, CSF p-tau biomarkers were plotted (j) as a function of Aβ PET deposition (in Centiloids) in the CU group, which was used to infer AD pathology progression. Dashed line indicates the biomarker cut off for positivity. CU: cognitively unimpaired; CI: cognitively impaired.
Figure 3 Phosphorylated tau CSF epitopes and Aβ PET associations. Spearman rank correlations between CSF biomarkers and Aβ PET ([18F]AZD4694) across all groups show p-tau231 as having the highest correlation coefficient (a-c). The accuracy of CSF biomarkers in distinguishing Aβ PET status (positive vs negative) is evidenced by AUCs as shown in (d). T-parametric maps show the voxel-wise association between CSF biomarkers and [18F]AZD4694 in all participants (e) as well as within CI (f) and CU (g). Models were adjusted by age and sex and RFT was used to account for multiple comparisons (significant t-values > 3.1). The dot plot (h) shows the average slope (beta) values by ROI for each of the CSF biomarkers. The beta value was derived from linear models that had Aβ PET as the outcome measure, the CSF biomarkers were the predictors and the covariates were sex and age. These models were performed at the voxel level and the CSF p-tau beta values of each voxel were averaged within ROIs. Were included in the ROIs only the voxels that had a significant association between Aβ PET and all of the CSF biomarkers evaluated here. T-parametric maps (i) show the voxel-wise association between CSF biomarkers (p-tau231, p-tau217 and p-tau181) and [18F]AZD4694 in Aβ-negative CU subjects. Models were adjusted for age and sex and RFT was used to account for multiple comparisons (significant t-values > 3.1). In addition, CSF p-tau biomarkers were plotted (j) as a function of Aβ PET deposition (in Centiloids) in the CU group, which was used to infer AD pathology progression. Dashed line indicates the biomarker cut off for positivity. CU: cognitively unimpaired; CI: cognitively impaired.CC BY-NC-ND · PubMed Central
Figure 4 P-tau231 as an early biomarker of Aβ pathology. The theoretical framework proposed presents a temporarily ordered progression of CSF p-tau epitopes in the context of the AD continuum, in which we hypothesize CSF p-tau231 as the first biomarker to become altered in the pre-amyloid phase, being then followed by p-tau217 and p-tau181 at pre-clinical and clinical stages.
Figure 4 P-tau231 as an early biomarker of Aβ pathology. The theoretical framework proposed presents a temporarily ordered progression of CSF p-tau epitopes in the context of the AD continuum, in which we hypothesize CSF p-tau231 as the first biomarker to become altered in the pre-amyloid phase, being then followed by p-tau217 and p-tau181 at pre-clinical and clinical stages.CC BY-NC-ND · PubMed Central

Verification

Claims the paper makes

60 Own result · 17 Partly supported · 13 Own interpretation · 12 Own method · 9 Supported · 4 No full text of the sources · 3 No basis given · 1 Mixed support · 1 Sources not found · accuracy not yet measured

Show all 50 claims

  • Probably not a substantial claim. 24
  • It may state two separate claims as one. 58
  • The quote only partly states this claim. 1
70 of 70
  • The paper relies on this without support.

    Disease-modifying drug candidates have a better opportunity to show effectiveness if initiated before symptom onset or even before overt Aβ plaque load.

    “as it is anticipated that disease-modifying drug candidates have a better opportunity to show effectiveness if initiated before symptom onset or even before overt Aβ plaque load has been achieved.”
    “It is anticipated that disease-modifying drug candidates have a better opportunity to show effectiveness if initiated before symptom onset or even before overt Aβ plaque load.”
  • The authors state this as an assumption.

    Aβ PET Centiloid values serve as a proxy of disease progression.

    “CSF biomarkers were also plotted as a function of Aβ PET, which served as a proxy of disease progression.”
  • The paper relies on this without support.

    Cross-sectional differences in CSF p-tau and Aβ PET reflect the temporal ordering of biomarker changes in AD.

    “This cross-sectional study was based on data from the Translational Biomarkers in Aging and Dementia (TRIAD) cohort”
  • The paper relies on this without support.

    Most previous studies comparing CSF p-tau231 and CSF p-tau181 did not evaluate the cognitively unimpaired phases of the AD continuum.

    “Yet, most of these studies did not evaluate the cognitively unimpaired phases of the AD continuum.”
  • The authors state this as an assumption.

    Aβ PET Centiloids can serve as a proxy of time/disease progression in AD.

    “we used Aβ PET (in Centiloids) as a proxy of AD progression”
  • The paper relies on this without support.

    The pre-amyloid phase is the optimal period for therapeutic intervention.

    “which is currently seen as the optimal period for therapeutic intervention.”
6 of 6

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

1 of 1

Citations

Cites

Show all 67 references

Research works printed but not linked: 1

  1. De Vos, 2016, A novel conformational, phospho-Threonine 231 specific assay for CSF protein tau, J Prev Alzheimers Dis

Cited by

Sorted by citations

Items 101–189 of 189

Metadata

Authors
Ashton, N. J., Benedet, A. L., Pascoal, T. A., Karikari, T. K., Lantero-Rodriguez, J., Brum, W. S., Mathotaarachchi, S., Therriault, J., Savard, M., Chamoun, M., Stoops, E., Francois, C., Vanmechelen, E., Gauthier, S., Zimmer, E. R., Zetterberg, H., Blennow, K., & Rosa-Neto, P.
Affiliations
  • King's College London (GB)
  • McGill University Research Centre for Studies in Aging (CA)
  • University of Pittsburgh (US)
  • Universidade Federal do Rio Grande do Sul (BR)
  • McGill University (CA)
  • ADx NeuroSciences
  • Centre intégré universitaire de santé et de services sociaux de l'Ouest-de-l’Île-de-Montréal (CA)
  • Sahlgrenska University Hospital (SE)
Venue
eBioMedicine
Publisher
Elsevier BV
Published
2022-02
Volume
76
Pages
103836
ISSN
2352-3964 (ISSN-L)
OpenAlex
W4211082869
Cited by
184
References
67
Citations by year
2026: 29 · 2025: 42 · 2024: 56 · 2023: 35 · 2022: 18
FWCI
22.56
Type
journal article
Language
en
Open access
Locations
  • EBioMedicine (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
  • Lume (Universidade Federal do Rio Grande do Sul) (submittedVersion, cc-by-nc-sa)
  • PubMed Central (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Alzheimer's Drug Discovery Foundation (2016862, FO2017-0243, 201809, 2017-00915, #ALFGBG-715986, 201809–2016862, 860197, 201809-2016615, #RDAPB‐201809‐2016615, AF-742881)
  • BrightFocus Foundation (AF-930627, A2020812F)
  • McGill University (162303, MOP-11-51-31, RFN 152985, 159815)
  • Fondation Brain Canada (860197, 2020-VICO-279314, 34874, 33397)
  • Gun och Bertil Stohnes Stiftelse
  • Demensförbundet
  • Weston Brain Institute (MOP-11-51-31)
  • Consortium canadien en neurodégénérescence associée au vieillissement (MOP-11-51-31)
  • Cerveau Technologies
  • Alzheimer Society
  • European Commission (201809-2016862, 860197)
  • Hjärnfonden (FO2017‑0243, FO2017, ALFGBG-715986, #FO2020-0240, 860197)
  • Vetenskapsrådet (860197, 2017-00915, (#ALFGBG-715986, -201809-2016615, 201809-2016862, 681712, 02532, 2018-, ALFGBG-720931, FO2017-0243, 2018-02532)
  • Sahlgrenska Universitetssjukhuset (ALFGBG-715986)
  • Göteborgs Universitet
  • Alzheimerfonden (#AF-930627, -742881, AF-742881, -715986, -0243, FO2017-0243)
  • UK Dementia Research Institute (#2017-00915, ALFGBG-715986, RDAPB-201809-2016615, FO2017-0243, -0243, -201809-2016615, -715986)
  • Demensfonden
  • Parkinsonfonden (1252/20)
  • Alzheimer Society Research Program
  • Canadian Institutes of Health Research (#MOP-11-51-31, 33397, 201809, 152985, 159815, RFN 152,985, 162303)
  • Fonds de Recherche du Québec - Santé (159815, 162303, 279314, 2020-VICO-279314)
  • Wallenberg Centre for Molecular and Translational Medicine
  • H2020 European Research Council (681712)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Clinical Neurology › Cerebrospinal fluid and hydrocephalus
Keywords
Alzheimer's disease, cerebrospinal fluid biomarkers, phosphorylated tau, p-tau231, p-tau217, p-tau181, amyloid-beta, preclinical Alzheimer's disease, amyloid PET, tau PET, cognitive impairment
MeSH terms
Alzheimer Disease, Canada, Humans, Phosphorylation, Tomography, X-Ray Computed, Biomarkers, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-27, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-27 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review