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Research

27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.

Find studies

Showing 26–50 of 61 studies by Zhou Y (page 2 of 3) · 27,380 in the whole library · How the 0–100 score works

Download bibliography of these 61 studies, in this order: BibTeX (.bib) · RIS (.ris)

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

Subjects

Other authors

Names as each record prints them; the same person can appear under two spellings.

Institutions

From OpenAlex; 12,859 studies have no institution on record and are not counted here.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Developing a machine learning model for detecting depression, anxiety, and apathy in older adults with mild cognitive impairment using speech and facial expressions: A cross-sectional observational study

✓ Peer-reviewed alzhub usefulness score 52 out of 100. International journal of nursing studies 2023-07-07

The machine learning model developed in this study demonstrated strong classification performance in detecting and differentiating depression, anxiety, and apathy. 3 key findings →

Design: cross-sectional Evidence: low

Full summary, score breakdown and related studies → Original source Full text may need a subscription

Wild-type sTREM2 blocks Aβ aggregation and neurotoxicity, but the Alzheimer's R47H mutant increases Aβ aggregation

✓ Peer-reviewed alzhub usefulness score 51 out of 100. The Journal of biological chemistry 2021-01-01

TREM2 is a pattern recognition receptor, expressed on microglia and myeloid cells, detecting lipids and Aβ and inducing an innate immune response. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Cell reports. Medicine 2024-02-01

The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia (ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit may be addressed by applying artificial intelligence (AI) to "big data" to rapidly and effectively expand therapeutic development efforts. 5 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

TREM2 shedding by cleavage at the H157-S158 bond is accelerated for the Alzheimer's disease-associated H157Y variant

✓ Peer-reviewed alzhub usefulness score 50 out of 100. EMBO molecular medicine 2017-10-01

We have characterised the proteolytic cleavage events responsible for the shedding of triggering receptor expressed on myeloid cells 2 (TREM2) from primary cultures of human macrophages, murine microglia and TREM2-expressing human embryonic kidney (HEK293) cells. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

High-affinity interactions and signal transduction between Aβ oligomers and TREM2

✓ Peer-reviewed alzhub usefulness score 50 out of 100. EMBO molecular medicine 2018-11-01

Rare coding variants in the triggering receptor expressed on myeloid cells 2 (TREM2) are associated with increased risk for Alzheimer's disease (AD), but how they confer this risk remains uncertain. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

CX3CR1 protein signaling modulates microglial activation and protects against plaque-independent cognitive deficits in a mouse model of Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 48 out of 100. The Journal of biological chemistry 2011-07-19

Aberrant microglial activation has been proposed to contribute to the cognitive decline in Alzheimer disease (AD), but the underlying molecular mechanisms remain enigmatic. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

TREM2-Dependent Effects on Microglia in Alzheimer's Disease

✓ Peer-reviewed alzhub usefulness score 46 out of 100. Frontiers in aging neuroscience 2018-07-09

Alzheimer's disease (AD) is a late-onset dementia characterized by the deposition of amyloid plaques and formation of neurofibrillary tangles (NFTs) which lead to neuronal loss and cognitive deficits. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Investigation of TREM2, PLD3, and UNC5C variants in patients with Alzheimer's disease from mainland China

✓ Peer-reviewed alzhub usefulness score 44 out of 100. Neurobiology of aging 2014-05-01

Recently, 3 rare coding variants significantly associated with Alzheimer's disease (AD) risk have been identified in western populations using whole exome sequencing method, including p.R47H in TREM2, p.V232M in PLD3, and p.T835M in UNC5C. To examine whether these variants are genetic risk factors in patients with AD from mainland China, we sequenced exon 2 of TREM2, exon 9 of PLD3, and exon 15 of UNC5C in Chinese Han population including 360 patients with AD and 400 control individuals. 3 key findings →

Participants: 360 Evidence: low

Full summary, score breakdown and related studies → Original source Full text may need a subscription

Auditory Verbal Learning Test is Superior to Rey-Osterrieth Complex Figure Memory for Predicting Mild Cognitive Impairment to Alzheimer's Disease

✓ Peer-reviewed alzhub usefulness score 43 out of 100. Current Alzheimer research 2015-01-01

The delayed recall of auditory verbal learning test (AVLT_DR) identified 116 subjects as MCI, resulted in the conversion rate as 44% over the roughly 30-month time interval, missed 7.8% incipient Alzheimer's disease (AD) patients in SCD group who eventually converted to dementia. 3 key findings →

Participants: 95 Evidence: low

Full summary, score breakdown and related studies → Original source Full text may need a subscription

Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment

✓ Peer-reviewed alzhub usefulness score 43 out of 100. Alzheimer's research & therapy 2021-06-09

Our results suggest significant mechanistic overlap between AD and COVID-19, centered on neuroinflammation and microvascular injury. 5 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source

β 2 -Microglobulin coaggregates with Aβ and contributes to amyloid pathology and cognitive deficits in Alzheimer's disease model mice

✓ Peer-reviewed alzhub usefulness score 43 out of 100. Nature neuroscience 2023-06-01

Extensive studies indicate that β-amyloid (Aβ) aggregation is pivotal for Alzheimer's disease (AD) progression; however, cumulative evidence suggests that Aβ itself is not sufficient to trigger AD-associated degeneration, and whether other additional pathological factors drive AD pathogenesis remains unclear. 2 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source

Triggering receptor expressed on myeloid cells 2 (TREM2) dependent microglial activation promotes cisplatin-induced peripheral neuropathy in mice

✓ Peer-reviewed alzhub usefulness score 40 out of 100. Brain, behavior, and immunity 2017-10-16

Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse side effect of many antineoplastic agents. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Full text may need a subscription

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Where “Free full text” comes from

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. Show only studies that are free to read

How the 0–100 score works — and why some entries are capped

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.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

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 27,380 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.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), 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.

1,032 records (3.8% of the library) are not peer-reviewed — 962 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 →

Newest studies, as a dated timeline →    Atom feed