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Find studies

Showing 1–25 of 37 studies in Genetics (page 1 of 2) · 27,380 in the whole library · How the 0–100 score works

Showing 37 studies tagged csf — clear

Browse by subject, author or institution

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

What “Genetics” covers

Genetics — Inherited risk: APOE and the other risk genes, and what they do and don't tell you.

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.

Genome-wide meta-analysis for Alzheimer's disease cerebrospinal fluid biomarkers

✓ Peer-reviewed alzhub usefulness score 73 out of 100. Acta neuropathologica 2022-09-06

Amyloid-beta 42 (Aβ42) and phosphorylated tau (pTau) levels in cerebrospinal fluid (CSF) reflect core features of the pathogenesis of Alzheimer's disease (AD) more directly than clinical diagnosis. 2 key findings →

Participants: 8,074 Evidence: low

Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers

✓ Peer-reviewed alzhub usefulness score 68 out of 100. Neurology 2020-05-01

This study shows that PUTG component scores were significantly associated with diagnostic group and AD biomarkers, a finding that was more pronounced in APOE ε4 carriers. 5 key findings →

Design: longitudinal study Participants: 689 Evidence: moderate

Longitudinal Cerebrospinal Fluid Biomarker Changes in Preclinical Alzheimer Disease During Middle Age

✓ Peer-reviewed alzhub usefulness score 66 out of 100. JAMA neurology 2015-09-01

Within-person changes in CSF biomarkers were also compared with changes in cortical PiB binding and progression to a CDR higher than 0 at follow-up. 2 key findings →

Design: cohort study Participants: 169 Evidence: moderate

Dissection of synaptic pathways through the CSF biomarkers for predicting Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 65 out of 100. Neurology 2020-06-25

All synaptic biomarkers tested had a good discriminatory power to distinguish patients with AD abnormal CSF from those with non-AD disorders. 4 key findings →

Design: cross-sectional Participants: 81 Evidence: moderate

Among the evaluated parameters, the only significant predictor of conversion to AD was non-Cp copper (hazard ratio = 1.23, 95% confidence interval = 1.03-1.47, p = 0.022); for each additional micromole per liter unit (μmol/l) of non-Cp copper, the hazard increased by ~20%. 2 key findings →

Design: meta-analysis Participants: 42 Evidence: high

Odor identification as a biomarker of preclinical AD in older adults at risk

✓ Peer-reviewed alzhub usefulness score 62 out of 100. Neurology 2017-06-28

These findings from healthy high-risk older individuals suggest that OI reflects degree of preclinical AD pathology, while its relationships with age and cognition result from the association of these latter variables with such pathology. 3 key findings →

Design: cross-sectional Participants: 101 Evidence: moderate

The association between both biomarkers is limited to a middle range of values, is modified by the APOE genotype, and is absent for longitudinal changes; 4 different approaches in 2 different platforms converge on similar pathological Aβ cutoff levels; and different pipelines to process PET scans showed correlated but not identical results. 5 key findings →

Design: cohort study Participants: 820 Evidence: moderate

β-Amyloid and tau biomarkers and clinical phenotype in dementia with Lewy bodies

✓ Peer-reviewed alzhub usefulness score 60 out of 100. Neurology 2020-09-28

Alzheimer disease pathologic changes are common in DLB and are associated with the clinical phenotype. β-Amyloid is associated with cognitive impairment, and tau pathology is associated with lower frequency of clinical features of DLB. 5 key findings →

Participants: 417 Evidence: moderate

Sex differences in CSF biomarkers vary by Alzheimer disease stage and APOE ε4 genotype

✓ Peer-reviewed alzhub usefulness score 58 out of 100. Neurology 2020-08-11

Within APOE ε4 carriers, sex differences in CSF p-Tau are more evident in early disease stages, whereas for APOE ε4 noncarriers, sex differences are more evident in advanced disease stages. 3 key findings →

Participants: 1,801 Evidence: low

In women, increased plasma adiponectin levels are an independent risk factor for the development of both all-cause dementia and AD. 3 key findings →

Design: cohort study Participants: 159 Evidence: moderate

The CSF levels of Aβ42 but not total and phosphorylated tau were lower in APOE ε4 carriers compared with noncarriers irrespective of diagnostic group (cohort A). 3 key findings →

Participants: 105 Evidence: moderate

Improved discrimination of AD patients using beta-amyloid(1-42) and tau levels in CSF

✓ Peer-reviewed alzhub usefulness score 56 out of 100. Neurology 1999-05-01

The combined measure of CSF Abeta42 and tau meets the requirements for clinical use in discriminating AD from normal aging and specific neurologic disorders. 4 key findings →

Participants: 84 Evidence: low

Cerebrospinal fluid tau and CSF-Abeta42 have so far been studied in research settings, under conditions providing data on the optimal performance. 1 key finding →

Participants: 105 Evidence: low

Microbleed presence was associated with lower CSF Aβ42 in AD and vascular dementia (standardized beta = -0.09, P = .003; standardized beta = -0.30, P = .01), and higher CSF tau in controls (standardized beta = 0.10, P = .03). 4 key findings →

Design: cross-sectional Participants: 914 Evidence: moderate

CSF biomarkers predict a more malignant outcome in Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2010-05-01

A subgroup of patients with Alzheimer disease with extreme levels of CSF biomarkers exhibits worse clinical outcomes over time, including faster progression of cognitive deficits, no response to ChEI treatment, and a higher mortality. 1 key finding →

Participants: 151 Evidence: low

Odor identification and Alzheimer disease biomarkers in clinically normal elderly

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2015-05-01

Our objective was to investigate cross-sectional associations between odor identification ability and imaging biomarkers of neurodegeneration and amyloid deposition in clinically normal (CN) elderly individuals, specifically testing the hypothesis that there may be an interaction between amyloid deposition and neurodegeneration in predicting odor identification dysfunction. 1 key finding →

Design: cross-sectional Evidence: low

Serial MRI and CSF biomarkers in normal aging, MCI, and AD

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2010-07-01

Unlike the CSF biomarkers evaluated, changes in serial structural MRI are correlated with concurrent change on general cognitive and functional indices in impaired subjects, track with clinical disease stage, and are influenced by APOE genotype. 3 key findings →

Participants: 312 Evidence: low

CSF biomarkers for Alzheimer disease correlate with cortical brain biopsy findings

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Neurology 2012-04-18

Amyloid plaques and hyperphosphorylated tau in cortical brain biopsies are reflected by low CSF Aβ42 and high CSF tau and p-tau levels, respectively. 2 key findings →

Participants: 182 Evidence: low

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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