Evidence map›Paper›PMID 40709257›Full record

ArticleResearch square2025

Microinfarcts are Associated with Cognitive Impairment in Neurofibrillary Tangle Predominant Decedents: Evidence from the NACC Autopsy Cohort.

Nicko C Martinez, Krishna L Bharani, Saadia Hasan, Cellas A Hayes

Abstract readPreprint
In one paragraph

Article in Research square, 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

4 authors.

Nicko C MartinezUniversity of California, Riverside.
Krishna L BharaniStanford University School of Medicine.
Saadia HasanStanford University School of Medicine.
Cellas A HayesStanford University School of Medicine.

Funding

The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Sid E O'Bryant · 2022 to 2026
$181.1M
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BRADFORD C DICKERSON · 2019 to 2026
$36.5M
UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Steven Dyal Edland · 2019 to 2026
$34.9M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2019 to 2026
$34.5M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NIKOLAOS K ROBAKIS · 2020 to 2026
$31.0M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Franklin Teich · 2020 to 2026
$30.1M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN · 2020 to 2026
$29.4M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
NIA NIH HHS P20 AG068024NIA NIH HHS P20 AG068053NIA NIH HHS P20 AG068077NIA NIH HHS P20 AG068082NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG062422NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG062715NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066462NIA NIH HHS P30 AG066468NIA NIH HHS P30 AG066506NIA NIH HHS P30 AG066507NIA NIH HHS P30 AG066508NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066511NIA NIH HHS P30 AG066512NIA NIH HHS P30 AG066514NIA NIH HHS P30 AG066515NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG066519NIA NIH HHS P30 AG066530NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072958NIA NIH HHS P30 AG072959NIA NIH HHS P30 AG072972NIA NIH HHS P30 AG072973NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072976NIA NIH HHS P30 AG072977NIA NIH HHS P30 AG072978NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG079280NIA NIH HHS U19 AG078109NIA NIH HHS U24 AG072122
6 · The paper itself

Abstract

Background: A growing number of older adults exhibit neurofibrillary tangle pathology without significant amyloid deposition, a biomarker profile consistent with suspected non-Alzheimer's pathophysiology or primary age-related tauopathy. The cognitive consequences within this subgroup remain poorly characterized, particularly with respect to vascular comorbidity. This study investigates whether vascular neuropathologies are associated with pre-mortem cognitive decline among individuals with predominately neurofibrillary tangles and low to none neuritic plaque pathology detected post-mortem. Methods: The sample included autopsy-confirmed data from 579 participants in the National Alzheimer's Coordinating Center (NACC) cohort with intermediate-to-high Braak stage (B2-B3) and absent or minimal neuritic plaques (C0-C1). Vascular neuropathologies included arteriolosclerosis, atherosclerosis of the circle of Willis, gross infarcts/ lacunes, and microinfarcts were assessed for associations with global cognition (Clinical Dementia Rating Sum of Boxes, CDR-SOB) and harmonized cognitive domain specific performance (memory, executive function, and language) using multivariable regression adjusted for age, sex, education, and apolipoprotein ε4 status. Sensitivity analyses further controlled for cardiovascular risk, excluded individuals with any neuritic plaques, and controlling for individual neuritic plaque and Braak staging. Results: Cross-sectionally, microinfarcts were consistently associated with poorer memory (β = - 0.28, p = 0.02), executive function (β = - 0.24, p = 0.02), and language (β = - 0.21, p = 0.02) approximate to death. Gross infarcts were associated with language impairment and higher CDR scores. These associations remained significant after adjusting for cardiovascular risk and were even stronger when restricted to strictly neuritic amyloid negative individuals. Conclusions: Microinfarcts may represent a key driver of cognitive impairment in neurofibrillary tangle predominant individuals. These findings highlight a vascular-neurodegenerative pathway that warrants consideration in non-neuritic plaque models of cognitive decline and may inform targeted prevention strategies.

Indexed as

Alzheimer’s disease continuumcognitive impairmentmicroinfarctsNeurofibrillary tauneuropathologyvascular neuropathology

Identifiers

PMID40709257
PMCPMC12288546

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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.