MicroRNA (miR) dysregulation is found in Alzheimer disease (AD). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
29,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
MicroRNA (miR) dysregulation is found in Alzheimer disease (AD). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Caloric restriction (CR) mitigates neurological damage arising from aging and a variety of other sources, including neuropathology in young adult mice that express single and double transgenic (tg) mutations associated with Alzheimer disease (AD). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Biological effects related to cell growth, as well as a role in the pathogenesis of Alzheimer disease, have been ascribed to the beta-amyloid precursor protein (beta-APP). 4 key findings →
Evidence: low
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Alzheimer Disease (AD) is the most common neurodegenerative disorder worldwide, and account for 60% to 70% of all cases of progressive cognitive impairment in elderly patients. 4 key findings →
Evidence: low
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The beta-amyloid precursor protein (APP) represents a type I transmembrane glycoprotein that is ubiquitously expressed. 4 key findings →
Evidence: low
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β-Site amyloid precursor protein cleaving enzyme1 (BACE1) is one of the key enzymes involved in the processing of the amyloid precursor protein (APP) and formation of amyloid β peptide (Aβ) species. 4 key findings →
Design: clinical trial Evidence: low
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γ-Secretase generates amyloid β-protein (Aβ), a pathogenic molecule in Alzheimer disease, through the intramembrane cleavage of the β-carboxyl-terminal fragment (βCTF) of β-amyloid precursor protein. 4 key findings →
Evidence: low
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BACE1 is a membrane-bound aspartic protease that cleaves the amyloid precursor protein (APP) at the beta-secretase site, a critical step in the Alzheimer disease pathogenesis. 4 key findings →
Evidence: low
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Alzheimer's disease (AD) involves several possible molecular mechanisms, including impaired brain insulin signaling and glucose metabolism. 4 key findings →
Evidence: low
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β-Site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1) is the transmembrane aspartyl protease that catalyzes the first cleavage step in the proteolysis of the APP to the amyloid β-protein (Aβ), a process involved in the pathogenesis of Alzheimer disease. 4 key findings →
Evidence: low
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Studies of processing of the Alzheimer beta-amyloid precursor protein (betaAPP) have been performed to date mostly in continuous cell lines and indicate the existence of two principal metabolic pathways: the "beta-secretase" pathway, which generates beta-amyloid (A beta(1-40/42); approximately 4 kDa), and the "alpha-secretase" pathway, which generates a smaller fragment, the "p3" peptide (A beta(17-40/42); approximately 3 kDa). 4 key findings →
Evidence: low
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The deposition of amyloid in senile plaques and along the walls of the cerebral vasculature is a characteristic feature of Alzheimer disease. 4 key findings →
Evidence: low
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Abnormal activation of calpain is implicated in synaptic dysfunction and participates in neuronal death in Alzheimer disease (AD) and other neurological disorders. 4 key findings →
Evidence: low
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APP processing and amyloid-β production play a central role in Alzheimer disease pathogenesis. 4 key findings →
Evidence: low
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Whereas neurotoxic Aβ is derived from amyloid precursor protein (APP) by β- and γ-secretase cleavage, APP processing along the non-amyloidogenic pathway results in the secretion of the large neurotrophic ectodomain APPsα. 2 key findings →
Evidence: low
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Although the relationship between macroautophagy/autophagy and Alzheimer disease (AD) is widely studied, the underlying mechanisms are poorly understood, especially the regulatory role of the initiation signaling of autophagy on AD. 2 key findings →
Evidence: low
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Familial Alzheimer's disease (FAD) is caused by dominant missense mutations in amyloid precursor protein (APP) and presenilin-1 (PSEN1), the catalytic component of γ-secretase that generates amyloid β-peptides (Aβ) from the APP C-terminal fragment C99. 3 key findings →
Evidence: low
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Oxidative stress is extensive in Alzheimer disease (AD) brain. 4 key findings →
Evidence: low
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The amyloid-beta (Aβ) peptide is the derivative of amyloid precursor protein (APP) generated through sequential proteolytic processing by β- and γ-secretases. 4 key findings →
Evidence: low
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Cholesterol is implicated to play a role in Alzheimer disease pathology. 4 key findings →
Evidence: low
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Previous studies have demonstrated that amyloid precursor protein (APP) can bind and reduce Cu(II) to Cu(I), leading to oxidative modification of APP. 4 key findings →
Evidence: low
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beta-Amyloid peptides (Abeta) that form the senile plaques of Alzheimer disease consist mainly of 40- and 42-amino acid (Abeta 40 and Abeta 42) peptides generated from the cleavage of the amyloid precursor protein (APP). 4 key findings →
Evidence: low
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Murine transgenic models of Alzheimer's disease (Tg-AD) have been useful to analyze the contribution of β-amyloid precursor protein (βAPP), Aβ42 peptide deposition, and the proinflammatory mechanisms that characterize Alzheimer-type neuropathology. 4 key findings →
Evidence: low
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Neurodegenerative processes in Alzheimer disease (AD) are thought to be driven in part by the deposition of amyloid beta (A beta), a 39- to 43-amino acid peptide product resulting from an alternative cleavage of amyloid precursor protein. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer disease is associated with extracellular deposits of amyloid beta-peptides in the brain. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled.
This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.
Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.
Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.
We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.
The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.
See the whole rubric drawn out → — four charts covering all 29,780 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 29,780 records, built mostly from automated pulls of Europe PMC (63.8% of the library) and OpenAlex (17.1%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.
1,037 records (3.5% of the library) are not peer-reviewed — 964 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.
See the full, machine-readable breakdown of this library's coverage →