Evidence mapPaperPMID 41230516Full record

ArticleJournal of Alzheimer's disease reports

Alzheimer's disease model explains Alzheimer's disease incidences.

John Cheung-Yuen Chan

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Genomic and proteomic conversion of brain ischemia to Alzheimer's disease.Frontiers in cell and developmental biology · 2026
    Review
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

1 author.

John Cheung-Yuen ChanIndependent Researcher, Bondi Junction, NSW, Australia.ORCID https://orcid.org/0000-0002-0229-5186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AD-model rationale: The contributing factors of Alzheimer's disease are cerebral vessel disease, insulin resistance, hypometabolism, oxidative stress, abnormal-protein aggregation, and inflammation. Brain insulin resistance is influenced by inflammation, glycemia, and stress, and glucose uptake into the central nervous system is mediated by brain glucose transporter. Glucose hypometabolism leads to oxidative stress. During protein synthesis, DNA is vulnerable to being insulted by reactive oxygen species. If repair fails, the neuron undergoes apoptosis. If the repair is imperfect, it may synthesize an abnormal protein, which could induce an immune response. The resulting inflammation may initiate brain insulin resistance, leading to glucose hypometabolism. Integrating all these major factors forms an AD model. One factor impacts more other factors. This process becomes a vicious cycle, creating a positive feedback loop. AD-model application: The AD model should be able to explain the observable AD incidents. The amyloid-β (Aβ) is extracellular, which would induce an immune response. On the contrary, tau and α-synuclein are intracellular proteins, which only cause an immune response if they leak out of the neuron. This is the reason why 2/3 of dementia cases are AD. Besides living longer, women have more immune sensitivity compared to men, and postmenopausal women have higher insulin resistance and endothelial dysfunction due to a decline in estrogen production. This is the reason why women have twice the AD in comparison to men. Removing abnormal proteins or applying an anti-inflammatory agent could reduce inflammation; therefore, one-third of people remain cognitively normal despite the presence of Aβ buildup in the brain.

Indexed as

Alzheimer’s diseasedementiainsulin resistanceketonesneuroinflammationoxidative stresspositive feedback

Identifiers

PMID41230516
PMCPMC12602971

What Socratic holds

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Registered trials

None linked

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 Socratic graph.