Evidence map›Paper›PMID 41913274›Full record

ArticleAlzheimer's research & therapy2026

Weekly fluctuations of plasma amyloid-beta in Alzheimer's disease: implications for biomarker reliability.

Andy Delgado, Kanisa Davidson, Danitra Parker, JaLeesa Bryant, Vicki Winstead, Mustafa Yildiz, Carolyn E Z Pickering, Andrew M Pickering

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Andy DelgadoDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Kanisa DavidsonDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Danitra ParkerDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
JaLeesa BryantDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Vicki WinsteadCizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Mustafa YildizCizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Carolyn E Z PickeringCizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. Carolyn.E.Pickering@uth.tmc.edu.
Andrew M PickeringDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. Andrew.M.Pickering@uth.tmc.edu.

Funding

Biological and environmental factors driving behavioral symptoms in Alzheimer's diseaseR01MH121928 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PICKERING, ANDREW MICHAEL, PICKERING, CAROLYN E ZIMINSKI · 2019 to 2024
$2.9M
Proteasome dysfunction as a driver of age-associated risk for Alzheimer's disease onset and progressionR01AG065301 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PICKERING, ANDREW MICHAEL · 2024 to 2024
$487k
NIA NIH HHS R01 AG065301NIA NIH HHS R01 AG06531NIMH NIH HHS Aging R01 RMH121928CNIMH NIH HHS R01 MH121928
6 · The paper itself

Abstract

backgroundAlzheimer’s Disease (AD), the most prevalent age-related dementia, is characterized by accumulation of amyloid-beta (Aβ) and hyperphosphorylated tau proteins within the brain. Accurate monitoring of AD progression is crucial for patient management and the evaluation of clinical trials but often involves invasive and expensive methods like cerebrospinal fluid analysis and PET scans. Consequently, minimally invasive plasma biomarkers such as the ratio of Aβ42 and Aβ40 are often used as endpoints in clinical research. This study investigates the variability in plasma Aβ levels on a micro-longitudinal scale to determine if they remain stable over short periods of time.

methodsAβ42 and Aβ40 peptides were quantified in plasma by enzyme-linked immunosorbent assay in a cohort of 73 AD patients with AD8 scores ≥ 3. Our cohort was 62% Black/African American and 38% White/Caucasian, 66% female and 34% male. Samples were collected weekly over a five-week micro-longitudinal study. We examined week-to-week Aβ peptide levels within-participant as well as between-patient variation. Impacts both of sex and race were examined as covariates.

resultsSignificant week-to-week fluctuations were observed in the levels of Aβ40, Aβ42, and Aβ42/Aβ40. We observed Aβ42/40 ratio to shift by more than 50% in 60% of participants. Further participants had an average of 20–50% fluctuations in readings on a week-to-week basis. This week-to-week fluctuation appeared to be driven primarily by sudden episodic shifts in Aβ content with only a few individuals showing sustained shifts. We report no significant difference in fluctuations in Aβ content by sex or race of participants. However, we do find plasma amyloid content (Aβ42, Aβ40, and Aβ42/Aβ40) to be elevated in male participants. Finally, we show some participants to present higher levels of amyloid flux than others at least on a micro-longitudinal scale. These findings highlight the dynamic nature of plasma Aβ levels, contrasting with the expected stability over such a short period.

conclusionsThe substantial levels of weekly variability in plasma Aβ levels we observed are comparable to the 18-month rate of change reported in recent pharmaceutical trials, and suggests that relying solely on these biomarkers for AD monitoring or outcome assessment could be misleading without considering their temporal fluctuations. This study emphasizes the need for frequent sampling and cautious interpretation when using plasma Aβ levels as an outcome measure.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesPeptide FragmentsAgedAged, 80 and overBiomarkersCohort StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansLongitudinal StudiesMaleReproducibility of ResultsTime FactorsAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)BiomarkersPeptide Fragments

Identifiers

PMID41913274
PMCPMC13159286

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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.