Evidence map›Paper›PMID 38940303›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Plasma amyloid beta X-42/X-40 ratio and cognitive decline in suspected early and preclinical Alzheimer's disease.

Jonathan Vogelgsang, Niels Hansen, Melina Stark, Michael Wagner, Hans Klafki, Barbara Marcos Morgado, Anke Jahn-Brodmann, Björn Schott, Hermann Esselmann, Chris Bauer and 40 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Association of plasma biomarkers with amyloid and tau PET in pre-dementia stages.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Amyloid and SCD jointly predict cognitive decline across Chinese and German cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  13. Review
  14. Article
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

50 authors.

Jonathan VogelgsangDepartment of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, Massachusetts, USA.ORCID 0000-0001-9326-8193
Niels HansenDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Melina StarkGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Michael WagnerGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Hans KlafkiDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Barbara Marcos MorgadoDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Anke Jahn-BrodmannDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Björn SchottDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Hermann EsselmannDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Chris BauerMicroDiscivery GmbH, Berlin, Germany.
Johannes SchuchhardtMicroDiscivery GmbH, Berlin, Germany.
Luca KleineidamGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Steffen WolfsgruberGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Oliver PetersGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Luisa-Sophie SchneiderDepartment of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Xiao WangDepartment of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Felix MenneGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Josef PrillerGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Eike SpruthGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Slawek AltensteinGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Andrea LohseDepartment of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Anja SchneiderGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Klaus FliessbachGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Ina VogtGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Claudia BartelsDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.
Frank JessenGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Ayda RostamzadehDepartment of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany.
Emrah DuezelGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Wenzel GlanzGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Enise IncesoyGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Michaela ButrynGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Katharina BuergerGerman Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.
Daniel JanowitzInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Michael EwersGerman Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.
Robert PerneczkyGerman Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.
Boris RauchmannDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.
Selim GuerselDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.
Stefan TeipelGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Ingo KilimannGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Doreen GoerssGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Christoph LaskeGerman Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany.
Matthias MunkGerman Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany.
Carolin SanzenbacherGerman Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany.
Annika SpottkeGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Nina Roy-KluthGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Michael HenekaLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval Esch-sur-Alzette, Luxembourg.
Frederic BrosseronGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Alfredo RamierezGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Matthias SchmidGerman Center for Neurodegenerative Disorders (DZNE), Bonn, Germany.
Jens WiltfangDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany.

Funding

German Federal Ministry of Education and Research (BMBF) 13GW0479B
6 · The paper itself

Abstract

introductionBlood-based biomarkers are a cost-effective and minimally invasive method for diagnosing the early and preclinical stages of amyloid positivity (AP). Our study aims to investigate our novel immunoprecipitation-immunoassay (IP-IA) as a test for predicting cognitive decline.

methodsWe measured levels of amyloid beta (Aβ)X-40 and AβX-42 in immunoprecipitated eluates from the DELCODE cohort. Receiver-operating characteristic (ROC) curves, regression analyses, and Cox proportional hazard regression models were constructed to predict AP by Aβ42/40 classification in cerebrospinal fluid (CSF) and conversion to mild cognitive impairment (MCI) or dementia.

resultsWe detected a significant correlation between AßX-42/X-40 in plasma and CSF (r = 0.473). Mixed-modeling analysis revealed a substantial prediction of AßX-42/X-40 with an area under the curve (AUC) of 0.81 for AP (sensitivity: 0.79, specificity: 0.74, positive predictive value [PPV]: 0.71, negative predictive value [NPV]: 0.81). In addition, lower AβX-42/X-40 ratios were associated with negative PACC5 slopes, suggesting cognitive decline. DISCUSSION: Our results suggest that assessing the plasma AβX-42/X-40 ratio via our semiautomated IP-IA is a promising biomarker when examining patients with early or preclinical AD. HIGHLIGHTS: New plasma Aβ42/Aβ40 measurement using immunoprecipitation-immunoassay Plasma Aβ42/Aβ40 associated with longitudinal cognitive decline Promising biomarker to detect subjective cognitive decline at-risk for brain amyloid positivity.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersCognitive DysfunctionPeptide FragmentsAgedDisease ProgressionFemaleHumansImmunoprecipitationMaleMiddle AgedROC CurveAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)BiomarkersPeptide FragmentsAlzheimer's diseaseamyloid betabiomarkerdementiaMCIplasma

Identifiers

PMID38940303
PMCPMC11350048

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.