Evidence map›Paper›PMID 40785395›Full record

ArticleJournal of neurochemistry2025

Profiling Plasma Biomarkers, Particularly pTau217 and pTau217/Aβ42, and Their Relation to Cognition in Memory Clinic Patients.

Marco Bucci, Ove Almkvist, Marina Bluma, Nicholas J Ashton, Irina Savitcheva, Konstantinos Chiotis, Guglielmo Di Molfetta, Kaj Blennow, Henrik Zetterberg, Agneta Nordberg

Abstract read
In one paragraph

Article in Journal of neurochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Molecular and statistical weaknesses of the p-tau217/AβJournal of molecular medicine (Berlin, Germany) · 2026
    Review
  6. Article
  7. Article
  8. Observational
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Marco BucciDepartment of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-5206-8651
Ove AlmkvistDepartment of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Marina BlumaDepartment of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Irina SavitchevaMedical Radiation Physics and Nuclear Medicine, Karolinska University, Stockholm, Sweden.
Konstantinos ChiotisDepartment of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Guglielmo Di MolfettaDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.ORCID https://orcid.org/0000-0003-3930-4354
Agneta NordbergDepartment of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7345-5151

Funding

Alzheimer fondenEuropean Union's Horizon Europe research and innovation programme 101053962Family Kaudert donationFondation pour la Recherche sur AlzheimerHjärnfondenKI private bequest (A Nordberg)Region Stockholm (ALF grant)Region Stockholm KI CIMEDSwedish State Support for Clinical Research ALFGBG-71320Vetenskapsrådet 2017-06086Vetenskapsrådet 2019-02397Vetenskapsrådet 2020-4-3018Vetenskapsrådet 2022-01018Vetenskapsrådet 2023-00356Vetenskapsrådet 2023-02649
6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by brain protein depositions, impaired synaptic transmission, and progressive cognitive decline. This clinical study, conducted at the tertiary memory clinic of Karolinska University Hospital in Stockholm, evaluates plasma pTau217 (in comparison to other plasma biomarkers) as a non-invasive marker for predicting brain amyloid load and cognitive impairment. Uniquely, it integrates plasma biomarkers with cognitive profiling and amyloid PET to assess diagnostic utility across disease stages in a real-world memory clinic setting. A total of 122 patients underwent extensive clinical examinations, including CSF analysis (used here for clinical diagnosis only), CT/MRI, neuropsychological (NP) testing (n = 80) and blood biomarker measurements. Prior to PET imaging, 74 patients were diagnosed with MCI among other diagnoses (AD, other dementia, no dementia). Following PET, patients were reclassified into diagnostic groups: MCI Aβ- (n = 29), MCI Aβ+ (n = 19), AD (n = 51), other dementias (n = 11). ROC analysis evaluated the ability of plasma biomarkers to predict Aβ-PET positivity. NP test z-scores were reduced into principal components (PCs) using PCA. Plasma pTau217 and pTau217/Aβ42 ratio were elevated in Aβ+ patients compared to MCI Aβ-patients. The ratio distinguished MCI Aβ+ from AD and, together with pTau217, showed the highest predictive value for Aβ positivity in the MCI group among the biomarkers analyzed (AUC 92.8% and 91.4%). Plasma pTau217/Aβ42 ratio was associated with principal component PC2 ("memory encoding and recall") in MCI Aβ+ (ρ =0.64, p=0.01) and negatively correlated with RAVL retrieval (PC2) in the same group (ρ =-0.57 and -0.6, p=0.028 and 0.017, respectively). Additionally, pTau217 correlated with the "Information" z-score (PC4) in both AD (ρ = -0.50, p = 0.005) and MCI Aβ+ (ρ = 0.53, p = 0.042). Plasma pTau217/Aβ42 might be a valuable predictor of brain amyloid pathology and a potential marker of domain-specific cognitive impairment in AD.

Indexed as

Amyloid beta-PeptidesCognitionCognitive DysfunctionPeptide Fragmentstau ProteinsAgedAged, 80 and overAlzheimer DiseaseBiomarkersFemaleHumansMaleMiddle AgedNeuropsychological TestsPositron-Emission TomographyAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersMAPT protein, humanPeptide Fragmentstau ProteinsAlzheimer's diseaseamyloid betaneuropsychological testingplasma biomarkerstau

Identifiers

PMID40785395
PMCPMC12336780

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.