Evidence map›Paper›PMID 41257351›Full record

ReviewToxicologic pathology2025

Neuropathology and Biomarker Correlates of Late Onset Alzheimer's Disease in Aged Old World Monkeys.

Caroline J Zeiss, Alvaro Duque, Anita Huttner

Abstract readReview
In one paragraph

Review in Toxicologic pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Caroline J ZeissYale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-1181-3544
Alvaro DuqueYale University School of Medicine, New Haven, Connecticut, USA.
Anita HuttnerYale University School of Medicine, New Haven, Connecticut, USA.

Funding

Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Yale Macaque Brain ResourceR01MH113257 · NIMH · YALE UNIVERSITY · PI Alvaro Duque · 2017 to 2026
$4.3M
NIA NIH HHS P30 AG066508NIMH NIH HHS R01 MH113257
6 · The paper itself

Abstract

Non-invasive predictive biomarkers for preclinical Alzheimer's disease (AD) may inform future dementia risk and support early intervention for AD. In this review, we describe clinical, biomarker and neuropathologic characteristics in spontaneously aged Old World monkeys (OWMs) in the context of preclinical AD. Reliable age-related amyloid-β (Aβ) plaque deposition occurs in OWMs. Plaque composition is complex, signifying significant disruption of synaptic connectivity. Pretangle pTau pathology in brainstem nuclei and limbic system prevails, consistent with Braak Stage 1b in macaques. Soluble pTau distribution approximates Braak Stage III-IV stage in perfused frozen macaque tissue, and colocalizes with Aβ and acetylcholinesterase labeling in AD-vulnerable circuits. Tau and Aβ pathology in OWMs is accompanied by fluid biomarker changes consistent with Core 1 AD diagnosis in humans but cannot be visualized using amyloid or tau tracers. Despite age-related cognitive decline, aging OWMs do not experience significant hippocampal atrophy or neuropathologic co-morbidities. Minimal expression of senescence markers implicates differences in rates of biological brain aging between OWMs and humans. OWMs support mechanistic studies and biomarker discovery in the areas of Aβ plaque and pTau evolution and resolution following anti-amyloid or Tau-directed therapeutics, as well as effects of senotherapeutics, lifestyle intervention or co-morbidities on biological brain aging.

Indexed as

African green monkeyAlzheimer’samyloidbiomarkersmacaqueneuropathologytau

Identifiers

PMID41257351
PMCPMC12638005

What OpenQuestion holds

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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.