Evidence map›Paper›PMID 40465828›Full record

ArticleBrain : a journal of neurology2025

Neuropathologic correlates of distinct plasma biomarker profiles in community-living older adults.

Lei Yu, Lianlian Du, Tianhao Wang, Lisa L Barnes, Jeffrey L Dage, Kristen A Russ, Tatiana Foroud, David A Bennett, Julie A Schneider, Patricia A Boyle

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Is there a link between multiple sclerosis and Alzheimer disease? A critical note.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Hippocampal GFAP in aging: Associations with AD and LATE-NC pathologies and cognitive decline in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Predicting Preclinical Cognitive Decline Using Plasma P-tau217 andmedRxiv : the preprint server for health sciences · 2026
    Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Lei YuRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
Lianlian DuRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
Tianhao WangRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
Lisa L BarnesRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0002-0072-9817
Jeffrey L DageDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Kristen A RussDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Tatiana ForoudDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0003-3689-554X
Julie A SchneiderRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
Patricia A BoyleRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Risk Factors for Cognitive Decline in African-AmericansR01AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2004 to 2025
$18.2M
Characterizing the Behavior Profile of Healthy Cognitive AgingR01AG034374 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI PATRICIA A BOYLE · 2009 to 2026
$8.8M
NIA NIH HHS P30AG10161NIA NIH HHS P30AG72975NIA NIH HHS R01AG022018NIA NIH HHS R01 AG034374NIA NIH HHS R01AG15819NIA NIH HHS R01AG34374NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

There has been a rapid growth in research on peripheral fluid biomarkers for Alzheimer's disease (AD) and AD-related dementias, because they are non-invasive, relatively inexpensive and easily accessible. The most commonly used plasma biomarkers include amyloid-β (Aβ), phosphorylated tau (p-tau), neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). The extent to which distinct profiles of multiple plasma biomarkers correlate with common neuropathologies is unclear. Using clinicopathologic data from 405 community-dwelling older adults, we applied latent profile analysis to four plasma biomarkers, i.e. Aβ42/40 ratio, p-tau217, NfL and GFAP, and examined the correlates of the latent profiles with four degeneration measures: AD, Lewy bodies, limbic-predominant age-related TDP-43 encephalopathy (LATE) and hippocampal sclerosis; and five vascular measures: chronic macroscopic infarcts, microinfarcts, cerebral amyloid angiopathy, atherosclerosis and arteriosclerosis. On average, participants died at the age of 89, and blood samples for plasma biomarkers were measured 3.9 years before death. Over 75% were female, and 24% were non-Latino Black. We observed three distinct biomarker profiles. Profile 1, characterized by low p-tau217, low GFAP, low NfL and high Aβ42/40, represented most participants (55.6%), with better than average biomarker levels. Both Profile 2 and Profile 3 showed worse than average biomarker levels. Profile 2, representing 34.8% of the participants, was high in p-tau217 and GFAP. In contrast, Profile 3, representing 9.6% of the participants, was high in NfL and GFAP. Examination of neuropathologic correlates of these plasma biomarker profiles revealed that Profile 2 exemplifies older adults with a high burden of neurodegeneration; almost all participants (92.9%) in Profile 2 had a diagnosis of pathologic AD, and the group also had the highest percentage of participants with Lewy bodies (41.1%). In comparison, Profile 3 exemplifies older adults with more severe vascular conditions; participants in this group had the highest percentage of macroscopic infarcts (31.6%) and moderate or severe atherosclerosis (42.1%). Together, these findings suggest that common plasma biomarkers may exhibit profiles reflective of distinct pathophysiologic processes.

Indexed as

Alzheimer DiseaseBiomarkersBrainAgedAged, 80 and overAmyloid beta-PeptidesFemaleGlial Fibrillary Acidic ProteinHumansIndependent LivingMaleNeurofilament ProteinsPeptide Fragmentstau ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersGFAP protein, humanGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAD/ADRDcerebrovascular conditionslatent profile analysisneurodegenerationplasma biomarkers

Identifiers

PMID40465828
PMCPMC12404734

What OpenQuestion holds

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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.