Models and mechanisms of post-stroke dementia and cognitive impairment

Stroke is a leading cause of death and disability globally, with significant long-term impacts such as post-stroke cognitive impairment (PSCI). PSCI affects up to one-third of stroke survivors, substantially increasing their risk of dementia, especially after recurrent strokes. Despite advances in acute stroke treatments, the mechanisms underlying PSCI remain poorly understood. Emerging evidence highlights that PSCI arises from a complex interplay of vascular damage, neurodegenerative pathologies, and chronic inflammation. This review explores the epidemiology and clinical characteristics of PSCI, emphasizing the role of age, education, vascular integrity, and comorbidities such as diabetes. Additionally, we examine experimental findings that utilize rodent models to elucidate the time course and biological mechanisms of PSCI. Notable contributions include insights from transgenic Alzheimer's disease (AD) mouse models, revealing how vascular and amyloid pathologies accelerate cognitive decline post-stroke. Moreover, studies on neuroinflammation and immune responses, such as those involving TREM2, underscore the significance of inflammatory pathways in PSCI. By integrating clinical and experimental findings, this literature review provides a comprehensive understanding of PSCI mechanisms, offering a foundation for developing targeted diagnostic tools and therapeutic interventions to mitigate the long-term cognitive effects of stroke.

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Publication Details

Journal
Frontiers in Stroke
Published
2025-05-09
DOI
https://doi.org/10.3389/fstro.2025.1563924
Citations
2
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
1.68

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article

Models and mechanisms of post-stroke dementia and cognitive impairment

Patrick J. Devlin, Akihiko Urayama, Rodney M. Ritzel, Romeesa Khan
2 citations
Frontiers in Stroke
Neuroinflammation and Neurodegeneration Mechanisms
1.68
article

Models and mechanisms of post-stroke dementia and cognitive impairment

Patrick J. Devlin, Akihiko Urayama, Rodney M. Ritzel, Romeesa Khan
article en
2 citations

Abstract

Stroke is a leading cause of death and disability globally, with significant long-term impacts such as post-stroke cognitive impairment (PSCI). PSCI affects up to one-third of stroke survivors, substantially increasing their risk of dementia, especially after recurrent strokes. Despite advances in acute stroke treatments, the mechanisms underlying PSCI remain poorly understood. Emerging evidence highlights that PSCI arises from a complex interplay of vascular damage, neurodegenerative pathologies, and chronic inflammation. This review explores the epidemiology and clinical characteristics of PSCI, emphasizing the role of age, education, vascular integrity, and comorbidities such as diabetes. Additionally, we examine experimental findings that utilize rodent models to elucidate the time course and biological mechanisms of PSCI. Notable contributions include insights from transgenic Alzheimer's disease (AD) mouse models, revealing how vascular and amyloid pathologies accelerate cognitive decline post-stroke. Moreover, studies on neuroinflammation and immune responses, such as those involving TREM2, underscore the significance of inflammatory pathways in PSCI. By integrating clinical and experimental findings, this literature review provides a comprehensive understanding of PSCI mechanisms, offering a foundation for developing targeted diagnostic tools and therapeutic interventions to mitigate the long-term cognitive effects of stroke.

Frontiers in StrokeVol. 4
The University of Texas MD Anderson Cancer Center (US), The University of Texas Health Science Center at Houston (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 16%
Neuroinflammation and Neurodegeneration Mechanisms
1.68
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Models and mechanisms of post-stroke dementia and cognitive impairment — Patrick J. Devlin, Akihiko Urayama, et al. · Frontiers in Stroke (2025) | TGRS Research Map | TGRS