Evidence map›Paper›PMID 42250678›Full record

ReviewExperimental neurology2026

Animal models of multi-infarct dementia: Methodological approaches, neuropathology, functional outcomes, and translational relevance.

Zhongwu Liu, Zheng Gang Zhang, Michael Chopp

Abstract readReview
In one paragraph

Review in Experimental neurology, 2026. 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

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

3 authors.

Zhongwu LiuDepartment of Neurology, Henry Ford Health, Detroit, MI, United States of America. Electronic address: zliu1@hfhs.org.
Zheng Gang ZhangDepartment of Neurology, Henry Ford Health, Detroit, MI, United States of America.
Michael ChoppDepartment of Neurology, Henry Ford Health, Detroit, MI, United States of America; Department of Physics, Oakland University, Rochester, MI, United States of America.

Funding

CYP2C11 Overexpression targeting peri-lesion astrocytes to improve cognitive function in mice with multi-infarct dementiaR21NS142762 · NINDS · HENRY FORD HEALTH + MICHIGAN STATE UNIVERSITY HEALTH SCIENCES · PI LIU, ZHONGWU · 2025 to 2025
$432k
NINDS NIH HHS R21 NS142762
6 · The paper itself

Abstract

Multi-infarct dementia (MID) is a major subtype of vascular cognitive impairment, second only to Alzheimer's disease as a leading cause of dementia worldwide. Unlike neurodegenerative dementias, MID results from recurrent vascular insults, producing stepwise cognitive decline. Animal models have become indispensable for understanding MID mechanisms and testing therapies, yet no single model fully captures human disease complexity. This review synthesizes current knowledge of embolic, chronic cerebral hypoperfusion, hypertensive, and large animal models of MID. We compare methodological strategies, neuropathological features (including white matter injury, neuroinflammation, and blood-brain barrier disruption), and behavioral outcomes. Key limitations include poor replication of infarct heterogeneity, absence of comorbidities, and translational failures. Emerging directions such as multi-hit paradigms and mixed dementia models are discussed. We conclude that integrative, multifactorial models are essential for improving translational relevance and developing effective therapies.

Indexed as

BrainDementia, Multi-InfarctDisease Models, AnimalTranslational Research, BiomedicalAnimalsHumansAnimal modelsBilateral microinfarctionCerebral hypoperfusionMicroinfarctsMulti-infarct dementiaVascular cognitive impairment

Identifiers

PMID42250678
PMCPMC13292119

What OpenQuestion holds

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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.