Evidence map›Paper›PMID 41306424›Full record

ArticleFrontiers in neuroscience2025

Expression of dementia biomarkers in Appalachian and non-Appalachian ELVO patients during thrombectomy.

Neha Anil, Christopher J McLouth, Hunter S Hazelwood, Elise Dahlke, Jacqueline A Frank, Nathan Millson, Mais Al-Kawaz, Jordan P Harp, Will Cranford, Shivani Pahwa and 3 more

Abstract read
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Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Neha AnilCollege of Medicine, University of Kentucky, Lexington, KY, United States.
Christopher J McLouthDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Hunter S HazelwoodCollege of Medicine, University of Kentucky, Lexington, KY, United States.
Elise DahlkeDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Jacqueline A FrankDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Nathan MillsonDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Mais Al-KawazDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Jordan P HarpDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Will CranfordCollege of Medicine, University of Kentucky, Lexington, KY, United States.
Shivani PahwaDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
David DornbosDepartment of Radiology, University of Kentucky, Lexington, KY, United States.
Justin F FraserDepartment of Neurology, University of Kentucky, Lexington, KY, United States.
Keith R PennypackerDepartment of Neurology, University of Kentucky, Lexington, KY, United States.

Funding

Predictors and Biomarkers for VCID versus Cognitive Recovery after Stroke Thrombectomy in Rural AppalachiaR01NS127974 · NINDS · UNIVERSITY OF KENTUCKY · PI Jordan Patrick Harp · 2023 to 2026
$2.4M
NINDS NIH HHS R01 NS127974
6 · The paper itself

Abstract

Background/Context: Vascular Cognitive Impairment and Dementia (VCID) affects 25-30% of stroke patients and includes cognitive impairments caused by vascular injury, such as post-stroke dementia. Rehabilitation has the potential to improve the quality of life for patients at risk of developing dementia. However, there is currently no reliable method to identify those at risk of dementia after a stroke. Several biomarkers, including ADRD (Alzheimer's disease and related dementias) biomarkers (Ab, tau, NfL, and GFAP) and angiogenic factors (VEGF, Flt-1, Tie-2, PIGF, and FGF) have been associated with the development of dementia.Populations in Appalachia experience a higher incidence of stroke and related mortality compared to other groups. Given the elevated stroke rates in Appalachian communities, this study aims to investigate potential proteomic differences between patients from Appalachian and non-Appalachian counties. The primary goal of the study is to characterize the expression of post-stroke cognitive dementia biomarkers and to explore differences in the proteomic profiles of Appalachian and non-Appalachian populations. Methods/Approach: Sample Collection: The Blood and Clot Thrombectomy Registry Collaborative (BACTRAC) protocol, established by Fraser and colleagues, introduces a novel method for analyzing stroke by collecting intracranial blood samples from patients undergoing mechanical thrombectomy. During the procedure the thrombus and blood samples from areas distal and proximal to the thrombus are collected and undergo proteomic analysis (Fraser et al.). Additional demographic and clinical information are collected from electronic health records. The control data was obtained from arterial blood collected during diagnostic angiograms from patients with cerebrovascular disease. Data Analysis: Propensity score models were used to perform a one-to-one match between stroke and control patients on age, sex, BMI, hypertension, and hyperlipidemia resulting in groups that were balanced on these measured prognostic characteristics. A Wilcoxon rank sum test was then used to assess differences in the 12 ADRD biomarkers. Results: Compared to the controls, stroke patients had significantly higher levels of GFAP. The control patients had significantly higher levels of AB40, AB42, and VEGFA. In the Appalachian patient population, the control patients also had significantly higher levels of AB40, AB42, and VEGFA. Additionally, the Appalachian stroke patients had higher GFAP. In the non-Appalachian population only GFAP was significantly different between stroke and control groups, with it being elevated in the stroke group. Conclusion: There was a notable difference in the levels of certain ADRD biomarkers between stroke patients and control patients. Specifically, in Appalachian populations, stroke patients showed significant differences in multiple ADRD biomarkers (AB40, AB42, and GFAP) compared to controls, a pattern not seen in non-Appalachian stroke patients, where only GFAP levels increased. This difference in ADRD biomarkers observed in Appalachian stroke patients could be attributed to a combination of socioeconomic and environmental factors unique to the Appalachian region.

Indexed as

Appalachiabiomarkersdementiapost stroke cognitive impairmentstrokeVCID

Identifiers

PMID41306424
PMCPMC12644046

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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.