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Find studies

Showing 526–550 of 2,594 studies in Biomarkers (page 22 of 104) · 28,180 in the whole library · How the 0–100 score works

Download bibliography of the first 500 of these 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.

What “Biomarkers” covers

Biomarkers — Measurable signals in blood, brain scans or spinal fluid that can indicate Alzheimer's changes.

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.

PD patients who develop poor outcomes show lower DTI-ALPS, potentially reflecting impaired glymphatic clearance. 3 key findings →

Design: longitudinal study Evidence: moderate

In this sample, the high-throughput blood Aβ assay was not able to distinguish well between AD patients and controls. 2 key findings →

Design: case-control study Evidence: moderate

Although genetic Aβ variants cause early-onset Alzheimer's disease, literature reports on Aβ properties are heterogeneous, obscuring molecular mechanisms, as illustrated by recent failures of Aβ-level targeting trials. 1 key finding →

Evidence: low

Our findings indicate differential relationships between comorbidities (demographic, medical, diagnostic) across NHB, Hispanic, and NHW participants. 5 key findings →

Participants: 764 Evidence: moderate

It is an open issue whether blood biomarkers serve to diagnose Alzheimer's disease (AD) or monitor its progression over time from prodromal stages. 2 key findings →

Design: longitudinal study Participants: 76 Evidence: moderate

Hippocampal subfields with distinctive atrophy patterns may mediate the effects of tau pathology on cognitive function. 2 key findings →

Design: cross-sectional Participants: 40 Evidence: low

ACAD's traction indicates the feasibility of recruiting Asians for clinical research to enhance understanding of AD risk factors. 1 key finding →

Participants: 606 Evidence: moderate

Alzheimer's disease (AD) is a neurodegenerative disease characterised by neuropathological hallmarks, including extracellular amyloid plaques and neurofibrillary tangles. 1 key finding →

Design: longitudinal study Evidence: moderate

Highlights Mild behavioral impairment (MBI) is linked to elevated plasma p-tau217, a specific Alzheimer's disease biomarker.MBI increases the odds of plasma p-tau217 positivity in dementia-free individuals. 1 key finding →

Participants: 101 Evidence: low

Plasma p-tau217 concentrations, considered together with APOE genotype, might help stratify risk and estimate the timing of future cognitive impairment in asymptomatic individuals who are at increased risk for Alzheimer's disease, such as those with a family history of dementia or known APOE-ε4 carrier status. 5 key findings →

Design: cohort Participants: 8,582 Evidence: high

Ascertainment of the -synuclein level in CSF somewhat improves the differential diagnosis of AD vs DLB and PDD when combined with established AD biomarkers. 3 key findings →

Design: cross-sectional Participants: 453 Evidence: low

Cerebrospinal fluid (CSF) biomarkers are useful in the diagnosis and the prediction of progression of several neurodegenerative diseases. 2 key findings →

Participants: 535 Evidence: moderate

Plasma NfL level is a valuable noninvasive biomarker that supplements magnetic resonance imaging scans and possibly reflects the severity of CSVD burden. 3 key findings →

Design: cross-sectional Participants: 496 Evidence: moderate

The quality of included studies with only a few longitudinal studies, limits the conclusions which may be drawn from the present findings especially regarding the biomarkers other than hippocampal volume. 4 key findings →

Design: systematic review Participants: 40 Evidence: high

These findings suggest an association of sHHV infection with white matter volume loss, attentional decline, and astrogliosis. 5 key findings →

Design: cross-sectional Participants: 119 Evidence: moderate

Higher baseline p-tau181 and NfL were associated with significantly faster decline in most cognitive, physical, and functional outcomes (+1 SD p-tau181: β MMSE = -0.055, 95% CI -0.067 to -0.043, β FCSRT = -0.034, 95% CI -0.043 to -0.025, β fluency = -0.029, 95% CI -0.038 to -0.020, β SPPB = -0.040, 95% CI -0.057 to -0.022, and β 4IADL = -0.115, 95% CI 0.091-0.140. +1 SD NfL: β MMSE = -0.039, 95% CI -0.053 to -0.025, β FCSRT = -0.022, 95% CI -0.032 to -0.012, β fluency = -0.014, 95% CI -0.024 to -0.004, and β 4IADL = 0.077, 95% CI 0.048-0.105). 4 key findings →

Participants: 1,938 Evidence: moderate

Potential association between frailty and pTau in community-dwelling older adults

✓ Peer-reviewed alzhub usefulness score 59 out of 100. BMC geriatrics 2022-09-26

Among the 12 biomarkers, only pTau was higher in frail individuals than in their not-frail peers (471.3 ± 58.1 pg/mL vs. 451.9 ± 61.1 pg/mL, p = 0.022). 4 key findings →

Design: longitudinal study Participants: 313 Evidence: moderate

Plasma β-synuclein demonstrated discriminative properties for Aβ PET positive and negative subjects. 3 key findings →

Design: longitudinal study Participants: 51 Evidence: moderate

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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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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.

1,034 records (3.7% 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