Evidence map›Paper›PMID 40843926›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Hippocampal tau distribution in primary age-related tauopathy: The Vantaa 85+ Study.

Sara Savola, Jarno Tuimala, Ville Kivistö, Mia Kero, Anna Raunio, Darshan Kumar, Henri Puttonen, Olli Tynninen, Anders Paetau, Tuomo Polvikoski and 2 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Primary age-related tauopathy.Acta neuropathologica · 2025
    Review
  8. Hippocampal tau distribution in primary age-related tauopathy: The Vantaa 85+ Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. 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

12 authors.

Sara SavolaDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Jarno TuimalaDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Ville KivistöDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Mia KeroDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Anna RaunioDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Darshan KumarAiforia Technologies Oyj, Helsinki, Finland.
Henri PuttonenDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Olli TynninenDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Anders PaetauDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Tuomo PolvikoskiTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Benjamin EnglertDepartment of Pathology, University of Helsinki, Helsinki, Finland.
Liisa MyllykangasDepartment of Pathology, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2237-5466

Funding

HUS Diagnostic Center and Helsinki University Hospital competitive research fund TYH2022316Jane and Aatos Erkko Foundation, the Academy of Finland 341007Medicinska Understödsföreningen Liv och Hälsa rf, and Finska Läkaresällskapet
6 · The paper itself

Abstract

introductionIn contrast to Alzheimer's disease (AD), in which initial neurofibrillary tangles (NFT) are mainly limited to the (trans)entorhinal region (EC) and CA1/prosubiculum, primary age-related tauopathy (PART) has been suggested to exhibit an early predisposition to NFTs in the hippocampal CA2 subregion.

methodsWe created an artificial intelligence model that recognizes and quantifies NFTs of three different maturity levels in different hippocampal subfields. This model was applied to a population-based Vantaa 85+ cohort, including hippocampal tau-immunostained sections from 210 individuals aged ≥ 85 years.

resultsEC and CA1, but not CA2, had significantly higher NFT density in moderate AD compared to PART. CA2/CA1 and CA2/EC NFT ratios were inversely associated with amyloid beta (Aβ) deposition in PART versus AD. The maturation process was exacerbated by Aβ in AD versus PART. DISCUSSION: Compared to AD, a CA2 conspicuous pattern of hippocampal NFTs was more common in, but not exclusive to, PART. HIGHLIGHTS: Neurofibrillary tangles (NFTs) of varying maturity were studied by a new kind of artificial intelligence model in the oldest-old. Hippocampal NFT distribution differed between primary age-related tauopathy (PART) and Alzheimer's disease (AD). PART more often showed prominent NFT pathology in CA2 compared to AD. In PART, the NFT maturation process stood out in CA2 compared to other subfields. The NFT maturation process was aggravated by amyloid beta in AD compared to PART.

Indexed as

HippocampusNeurofibrillary TanglesTauopathiestau ProteinsAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesArtificial IntelligenceCohort StudiesFemaleHumansMaleAmyloid beta-Peptidestau ProteinsAlzheimer's diseaseamyloid betaartificial intelligenceCA2cognitive impairmenthippocampusneurofibrillary degenerationprimary age‐related tauopathytau

Identifiers

PMID40843926
PMCPMC12371459

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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.