Evidence map›Paper›PMID 39716329›Full record

ArticleAlzheimer's research & therapy2024

Data-driven CSF biomarker profiling: imaging and clinical outcomes in a cohort at risk of Alzheimer's disease.

Georgette Argiris, Muge Akinci, Cleofé Peña-Gómez, Eleni Palpatzis, Marina Garcia-Prat, Mahnaz Shekari, Kaj Blennow, Henrik Zetterberg, Gwendlyn Kollmorgen, Clara Quijano-Rubio and 10 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

20 authors.

Georgette Argiris *Department of Neuroscience, Columbia University, New York, NY, USA.
Muge Akinci *Barcelona Institute of Global Health (ISGlobal), Health and Environment Over the Lifecourse Programme, Barcelona, Spain.
Cleofé Peña-GómezBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Eleni PalpatzisBarcelona Institute of Global Health (ISGlobal), Health and Environment Over the Lifecourse Programme, Barcelona, Spain.
Marina Garcia-PratBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Mahnaz ShekariUniversity of Pompeu Fabra (UPF), Barcelona, Spain.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Gwendlyn KollmorgenRoche Diagnostics GmbH, Penzberg, Germany.
Clara Quijano-RubioRoche Diagnostics International Ltd, Rotkreuz, Switzerland.
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Thomas K KarikariDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Ann Brinkmalm-WestmanDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Juan Lantero-RodriguezDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Karine FauriaBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain. kfauria@barcelonabeta.org.
Gonzalo Sánchez-BenavidesBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Oriol Grau-RiveraBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Marc Suárez-CalvetBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Eider M Arenaza-UrquijoBarcelona Institute of Global Health (ISGlobal), Health and Environment Over the Lifecourse Programme, Barcelona, Spain. eider.arenaza@isglobal.org.
For The Alfa StudyUniversity of Pompeu Fabra (UPF), Barcelona, Spain.

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
Plasma brain-derived tau: a novel Alzheimer’s disease-type neurodegeneration biomarker with potential to complete the AT(N) scheme in bloodR01AG083874 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Thomas K Karikari · 2023 to 2026
$14.5M
NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG083874
6 · The paper itself

Abstract

backgroundCerebrospinal fluid (CSF) biomarkers of synaptic dysfunction, neuroinflammation, and glial response, complementing Alzheimer's disease (AD) core biomarkers, have improved the pathophysiological characterization of the disease. Here, we tested the hypothesis that the co-expression of multiple CSF biomarkers will help the identification of AD-like phenotypes when biomarker positivity thresholds are not met yet.

methodsTwo hundred and seventy cognitively unimpaired adults with family history (FH) of sporadic AD (mean age = 60.6 ± 4.85 years, 64.8% women) underwent lumbar puncture, magnetic resonance imaging (n = 266) and positron emission tomography imaging (n = 239) protocols, and clinical evaluations. CSF Aβ

resultsThree clusters (C) were identified. Higher Aβ burden and CSF p-tau was the hallmark of C1. The other two clusters showed lower Aβ burden but higher expression of glial (C2) or synaptic markers (C3). Participants in C1 showed an AD-like clinical phenotype, comprising participants with the overall highest percentage of two parent FH and APOE-ε4 carriers, in addition to comprising more females compared to C2. C3 displayed better vascular health compared to C1. C2 were older and comprised a lower percentage of females compared to C3. C1 showed an AD-like gray matter reduction in medial temporal (notably hippocampus) and frontal regions that were not observed in Aβ

conclusionsOur results suggest that examining multiple CSF biomarkers reflecting diverse pathological pathways may complement and/or outperform AD core biomarkers and thresholding approaches to identify individuals showing a clinical and cognitive AD-like phenotype, including higher conversion to Aβ + , GM reductions and cognitive decline. The clinical utility of this approach warrants further investigation and replication in other cohorts.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersMagnetic Resonance ImagingPositron-Emission TomographyAgedCohort StudiesFemaleHumansMaleMiddle AgedPeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsALFA cohortATNCSF biomarkersHierarchical clusteringSporadic Alzheimer’s diseaseβ-amyloid

Identifiers

PMID39716329
PMCPMC11667858

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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.