Evidence map›Paper›PMID 36710683›Full record

ArticleJournal of Alzheimer's disease : JAD2023

Evaluation of Blood-Based Plasma Biomarkers as Potential Markers of Amyloid Burden in Preclinical Alzheimer's Disease.

Charisse N Winston, Oliver Langford, Natalie Levin, Rema Raman, Kevin Yarasheski, Tim West, Sara Abdel-Latif, Michael Donohue, Akinori Nakamura, Kenji Toba and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Staging Alzheimer's disease through amyloid and tau PET.Brain : a journal of neurology · 2026
    Article
  4. Article
  5. Racial and ethnic differences in plasma biomarker eligibility for a preclinical Alzheimer's disease trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  6. Views and Perceptions of Amyloid Imaging in a Preclinical Alzheimer's Disease Trial.The journal of prevention of Alzheimer's disease · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

15 authors at 8 institutions in 3 countries.

Charisse N WinstonDepartment of Neurosciences, University of California San Diego, La Jolla, CA, USA.
Oliver LangfordAlzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, San Diego, CA, USA.
Natalie LevinDepartment of Neurosciences, University of California San Diego, La Jolla, CA, USA.
Rema RamanAlzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, San Diego, CA, USA.
Kevin YarasheskiC2N Diagnostics, St. Louis, MO, USA.
Tim WestC2N Diagnostics, St. Louis, MO, USA.
Sara Abdel-LatifAlzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, San Diego, CA, USA.
Michael DonohueAlzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, San Diego, CA, USA.
Akinori NakamuraDepartment of Biomarker Research, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Kenji TobaNational Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Colin L MastersThe Florey Institute, The University of Melbourne, Parkville, VIC, Australia.
James DoeckeThe Commonwealth Scientific and Industrial Research Organization, Brisbane, QLD, Australia.
Reisa A SperlingHarvard Medical School, Boston, MA, USA.
Paul S AisenAlzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, San Diego, CA, USA.
Robert A RissmanDepartment of Neurosciences, University of California San Diego, La Jolla, CA, USA.
University of Southern California · USUniversity of California San Diego · USC2N Diagnostics (United States) · USHarvard University · USHealth Sciences and Nutrition · AUNational Center for Geriatrics and Gerontology · JPThe University of Melbourne · AUTokyo Metropolitan Institute of Gerontology · JP

Funding

UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DOUGLAS R GALASKO · 2019 to 2026
$34.9M
UCSD Leading the Advancement of Underrepresented Neuroscientists for Change (LAUNCH) Faculty Development ProgramR25NS117367 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Victoria B Risbrough, Joann Trejo · 2020 to 2026
$1.6M
NIA NIH HHS P30 AG062429
6 · The paper itself

Abstract

backgroundParticipant eligibility for the A4 Study was determined by amyloid PET imaging. Given the disadvantages of amyloid PET imaging in accessibility and cost, blood-based biomarkers may serve as a sufficient biomarker and more cost-effective screening tool for patient enrollment into preclinical AD trials.

objectiveTo determine if a blood-based screening test can adequately identify amyloid burden in participants screened into a preclinical AD trial.

methodsIn this cross-sectional study, 224 participants from the A4 Study received an amyloid PET scan (18Florbetapir) within 90 days of blood sample collection. Blood samples from all study participants were processed within 2 h after phlebotomy. Plasma amyloid measures were quantified by Shimazdu and C2 N Diagnostics using mass spectrometry-based platforms. A corresponding subset of blood samples (n = 100) was processed within 24 h after phlebotomy and analyzed by C2 N.

resultsPlasma Aβ42/Aβ40 demonstrated the highest association for Aβ accumulation in the brain with an AUC 0.76 (95%CI = 0.69, 0.82) at C2 N and 0.80 (95%CI = 0.75, 0.86) at Shimadzu. Blood samples processed to plasma within 2 h after phlebotomy provided a better prediction of amyloid PET status than blood samples processed within 24 h (AUC 0.80 versus 0.64; p < 0.001). Age, sex, and APOE ɛ4 carrier status did not the diagnostic performance of plasma Aβ42/Aβ40 to predict amyloid PET positivity in A4 Study participants.

conclusionPlasma Aβ42/Aβ40 may serve as a potential biomarker for predicting elevated amyloid in the brain. Utilizing blood testing over PET imaging may improve screening efficiency into clinical trials.

Indexed as

Alzheimer DiseaseAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsBiomarkersCross-Sectional StudiesHumansPeptide FragmentsPositron-Emission TomographyAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsBiomarkersPeptide FragmentsA4Alzheimer’s diseaseamyloid-βbiomarkersclinical trialmass spectrometryPET

Identifiers

PMID36710683
PMCPMC11191492
OpenAlexW4317840374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.