Evidence map›Paper›PMID 32753068›Full record

ArticleAlzheimer's research & therapy2020

Association of glial and neuronal degeneration markers with Alzheimer's disease cerebrospinal fluid profile and cognitive functions.

Unnur D Teitsdottir, Maria K Jonsdottir, Sigrun H Lund, Taher Darreh-Shori, Jon Snaedal, Petur H Petersen

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  3. Relationships of CSF biomarkers to cortical atrophy in early-onset Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

6 authors at 5 institutions in 2 countries.

Unnur D TeitsdottirFaculty of Medicine, Department of Anatomy, Biomedical Center, University of Iceland, Reykjavik, Iceland. udt1@hi.is.ORCID 0000-0003-2723-2242
Maria K JonsdottirDepartment of Psychology, Reykjavik University, Reykjavik, Iceland.
Sigrun H LunddeCODE genetics/Amgen, Inc., Reykjavik, Iceland.
Taher Darreh-ShoriDivision of Clinical Geriatrics, Center for Alzheimer Research, NVS Department, Karolinska Institutet, Huddinge, Sweden.
Jon SnaedalMemory clinic, Department of Geriatric Medicine, Landspitali - National University Hospital, Reykjavik, Iceland.
Petur H PetersenFaculty of Medicine, Department of Anatomy, Biomedical Center, University of Iceland, Reykjavik, Iceland.
University of Iceland · ISdeCODE Genetics (Iceland) · ISKarolinska Institutet · SENational University Hospital of Iceland · ISReykjavík University · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuroinflammation has gained increasing attention as a potential contributing factor in the onset and progression of Alzheimer's disease (AD). The objective of this study was to examine the association of selected cerebrospinal fluid (CSF) inflammatory and neuronal degeneration markers with signature CSF AD profile and cognitive functions among subjects at the symptomatic pre- and early dementia stages.

methodsIn this cross-sectional study, 52 subjects were selected from an Icelandic memory clinic cohort. Subjects were classified as having AD (n = 28, age = 70, 39% female, Mini-Mental State Examination [MMSE] = 27) or non-AD (n = 24, age = 67, 33% female, MMSE = 28) profile based on the ratio between CSF total-tau (T-tau) and amyloid-β

resultsAccuracy coefficient for distinguishing between the two CSF profiles was calculated for each CSF marker and test. Novel CSF markers performed poorly (area under curve [AUC] coefficients ranging from 0.61 to 0.64) compared to tests reflecting verbal episodic memory, which all performed fair (AUC > 70). LASSO regression with a stability approach was applied for the selection of CSF markers and demographic variables predicting performance on each cognitive domain, both among all subjects and only those with a CSF AD profile. Relationships between CSF markers and cognitive domains, where the CSF marker reached stability selection criteria of > 75%, were visualized with scatter plots. Before calculations of corresponding Pearson's correlations coefficients, composite scores for cognitive domains were adjusted for age and education. GFAP correlated with executive functions (r = - 0.37, p = 0.01) overall, while GFAP correlated with processing speed (r = - 0.68, p < 0.001) and NFL with verbal episodic memory (r = - 0.43, p = 0.02) among subjects with a CSF AD profile.

conclusionsThe novel CSF markers NFL and GFAP show potential as markers for cognitive decline among individuals with core AD pathology at the symptomatic pre- and early stages of dementia.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAmyloid beta-PeptidesBiomarkersCognitionCross-Sectional StudiesFemaleHumansMalePeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsAD biomarker profileAlzheimer’s diseaseCerebrospinal fluidCognitive domainsGlial fibrillary acidic proteinNeurofilament lightS100 calcium-binding protein BYKL-40

Identifiers

PMID32753068
PMCPMC7404927
OpenAlexW3047195300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.