Evidence map›Paper›PMID 40566826›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Plasma NfL and GFAP for predicting VCI and related brain changes in community and clinical cohorts.

Sheelakumari Raghavan, Jonathan Graff-Radford, Ekaterina Hofrenning, Angela J Fought, Robert I Reid, Michael G Kamykowski, Alicia Algeciras-Schimnich, B Gwen Windham, David S Knopman, Val J Lowe and 3 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  10. Plasma NfL and GFAP for predicting VCI and related brain changes in community and clinical cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

13 authors.

Sheelakumari RaghavanDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic Rochester, Rochester, Minnesota, USA.
Ekaterina HofrenningDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Angela J FoughtDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Robert I ReidDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Michael G KamykowskiDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Alicia Algeciras-SchimnichDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
B Gwen WindhamDepartment of Medicine, University of Mississippi Medical Center, Mississippi, Jackson, USA.
David S KnopmanDepartment of Neurology, Mayo Clinic Rochester, Rochester, Minnesota, USA.
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic Rochester, Rochester, Minnesota, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
MarkVCID Validation in the General CommunityUF1NS125417 · NINDS · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C, VEMURI, PRASHANTHI · 2021 to 2023
$6.1M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
"What is N?" Towards operationalizing neurodegeneration in Alzheimer's and related dementiasRF1AG069052 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, MIELKE, MICHELLE M · 2021 to 2021
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
GHR FoundationMayo Clinic Research FoundationNIA NIH HHS P50 AG016574NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG056366NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS RF1 AG069052NIA NIH HHS U01 AG006786NIH HHS P50AG016574NIH HHS R01AG041851NIH HHS R01AG056366NIH HHS R37AG011378NIH HHS RF1AG069052NIH HHS U01 AG006786NIH HHS UF1NS125417NINDS NIH HHS UF1 NS125417
6 · The paper itself

Abstract

introductionWe investigated the usefulness of plasma neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) for capturing vascular cognitive impairment (VCI) in the context of amyloidosis.

methodsUsing two independent cohorts (n = 1810), we assessed the relationship of plasma NfL and GFAP with (1) vascular brain indices; (2) diagnostic states using the following definitions: vascular versus not (white matter hyperintensity/total intracranial volume ≥ 1.3%), and cognitively impaired (CI) versus cognitively unimpaired (CU) using Clinical Dementia Rating ([CDR] scale ≥ 0.5); and (3) their upstream predictors using structural equation models (SEMs).

resultsPlasma NfL and GFAP were associated with vascular brain damage and differed across states (VCI > vascular CU > non-vascular CI > non-vascular CU). In a population-based sample, these biomarkers distinguished vascular CU and VCI from non-vascular CU groups with greater separation in amyloid negative participants. Pathway analyses showed NfL was primarily influenced by systemic/brain vascular health, whereas amyloid contributed to GFAP variability. DISCUSSION: Plasma biomarkers, particularly NfL, capture vascular brain changes and show promise for VCI identification. HIGHLIGHTS: Plasma NfL and glial fibrillary acidic protein (GFAP) were associated with vascular brain indices. Plasma biomarkers differed across diagnostic states (VCI > vascular CU > non-vascular CI > non-vascular CU). Plasma markers discriminated vascular from non-vascular states with greater separation in Aβ- participants. NfL was linked to vascular health, while amyloid influenced GFAP variability in the population-based sample. Future longitudinal frameworks should consider systemic inflammation markers along with these plasma markers to better understand VCID-related brain changes and cognitive decline.

Indexed as

BrainCognitive DysfunctionDementia, VascularGlial Fibrillary Acidic ProteinNeurofilament ProteinsAgedAged, 80 and overAmyloidosisBiomarkersCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleBiomarkersGFAP protein, humanGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament Proteinsdiffusion MRIvascular contributions to cognitive impairment and dementiawhite matterwhite matter hyperintensities

Identifiers

PMID40566826
PMCPMC12198477

What Socratic 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 Socratic graph.