Evidence map›Paper›PMID 41282856›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Plasma proteomic signatures of preclinical Alzheimer's disease biomarkers and memory in clinically unimpaired older adults.

Alexandra N Trelle, Karly A Cody, Tran T Nguyen, Joseph R Winer, Skylar Weiss, Isha Sai, Divya Channappa, Justin Mendiola, Amal Al-Rajhi, Keerthana Raghuraman and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Alexandra N TrelleDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Karly A CodyDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Tran T NguyenInstitute for Immunity, Transplantation, and Infection Operations, Stanford University.
Joseph R WinerDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Skylar WeissDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Isha SaiDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Divya ChannappaDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Justin MendiolaDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Amal Al-RajhiDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Keerthana RaghuramanDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Sharon J ShaDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Edward N WilsonDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.ORCID 0000-0003-0640-5247
Tony Wyss-CorayDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.ORCID 0000-0001-5893-0831
Anthony D WagnerWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305.ORCID 0000-0003-0624-4543
Holden T MaeckerDepartment of Microbiology and Immunology, Stanford University.
Elizabeth C MorminoDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305.

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI Lisa Goldman Rosas · 2020 to 2026
$29.0M
Hippocampal-dependent memory decline in aging and early Alzheimer's diseaseR01AG074339 · NIA · STANFORD UNIVERSITY · PI ELIZABETH MORMINO · 2022 to 2026
$6.0M
NIA NIH HHS P30 AG066515NIA NIH HHS R01 AG074339
6 · The paper itself

Abstract

Background: Multianalyte plasma proteomic panels that can accurately detect initial AD pathology in preclinical populations and simultaneously measure related biological processes relevant for disease risk are critical for advancing early detection and prognosis. Methods: Using the NULISAseq CNS panel, we measured plasma from 193 clinically unimpaired (CU) older adults enrolled in the Stanford Aging and Memory Study (SAMS). We evaluated correspondence of core AD-relevant biomarkers Aβ42, Aβ40, pTau217, pTau181, GFAP, NfL, Aβ42/Aβ40, and pTau217/Aβ42 measured using NULISAseq and established Lumipulse immunoassays. ROC curve analyses compared the accuracy of these biomarkers for detecting Lumipulse CSF Aβ-positivity across platforms. Linear models were applied across 124 NULISAseq proteins to examine associations with common AD risk factors, including age, female sex, and Results: Moderate to high correlations were observed between NULISAseq and Lumipulse AD plasma biomarkers. Across platforms, plasma pTau217/Aβ42 exhibited the highest performance in discriminating CSF A+ (NULISAseq AUC: 0.940, 95%CI: 0.885-0.995; Lumipulse AUC: 0.907, 95%CI: 0.849-0.966). Age and sex were associated with differential expression of NULISAseq targets linked to neurodegeneration, microglial activation, and inflammation. CSF A+ was associated with fold change differences in Aβ42, pTau217, pTau231, pTau181, and GFAP, while CSF T+ was additionally associated with increases in TREM1, TIMP3, SAA1, and S100A12. When stratified by AT groups, A+T- exhibited lower Aβ42 and elevated pTau217 compared to A-T-, whereas A+T+ exhibited elevated pTau231 and pTau181 compared to A+T-. Temporal cortex tau was positively associated with NULISAseq pTau217, pTau231, pTau181, and pTau217/Aβ42. Memory function was negatively associated with pTau isoforms and PRDX6, YWHAZ, ENO2, ARSA, CHI3L1, CXCL8, and FCN2. These associations remained when controlling for pTau217 and restricting to A- CU, suggesting these targets may represent AD-independent biological pathways relevant for memory function. Conclusions: NULISAseq immunoassay-based multiplexing accurately detects AD pathology among CU older adults and identifies multiple biological pathways related to early biomarker abnormality and memory function that may become dysregulated in preclinical AD.

Indexed as

Amyloid pathologyInflammationLumipulseMemoryNUcleic acid-Linked Immuno-Sandwich Assay (NULISA)NULISA with next-generation sequencing readout (NULISAseq)Plasma biomarkersPreclinical Alzheimer’s diseaseProteomicsTau pathology

Identifiers

PMID41282856
PMCPMC12633621

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.