Evidence map›Paper›PMID 40950506›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Phenotypic and Genetic Associations Between Cardiovascular Disease Subtypes and Alzheimer's Disease.

Aili Toyli, Chen Zhao, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Qing-Hui Chen, Qiuying Sha, Weihua Zhou

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

8 authors.

Aili ToyliDepartment of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA 49931.
Chen ZhaoDepartment of Computer Science, Kennesaw State University, 680 Arntson Dr, Marietta, GA, USA 30060.
Kuan-Jui SuDivision of Biomedical Informatics and Genomics, Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA, USA 70112.
Hui ShenDivision of Biomedical Informatics and Genomics, Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA, USA 70112.
Hong-Wen DengDivision of Biomedical Informatics and Genomics, Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA, USA 70112.
Qing-Hui ChenDepartment of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, MI, USA.
Qiuying ShaDepartment of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA 49931.
Weihua ZhouDepartment of Applied Computing, Michigan Technological University, 1400 Townsend Dr, Houghton, MI, USA 49931.ORCID 0000-0002-6039-959X

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HONG-WEN DENG · 2017 to 2026
$24.3M
Intensive Lifestyle Intervention, Metabolomics, and Risk of Frailty Fracture in Overweight or Obese Patients with Type 2 DiabetesR01AG068232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C, ZHAO, QI · 2021 to 2025
$3.1M
Integrative analysis of electrical and mechanical dyssynchrony to improve cardiac resynchronization therapyR15HL173852 · NHLBI · MICHIGAN TECHNOLOGICAL UNIVERSITY · PI SHA, QIUYING · 2024 to 2024
$429k
Multi-modality Image Fusion to Improve Coronary Revascularization in Patients with Stable Coronary Artery DiseaseR15HL172198 · NHLBI · MICHIGAN TECHNOLOGICAL UNIVERSITY · PI ZHOU, WEIHUA · 2024 to 2024
$427k
NHLBI NIH HHS R15 HL172198NHLBI NIH HHS R15 HL173852NIA NIH HHS R01 AG068232NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) and Alzheimer's disease (AD) are major public health concerns that share overlapping risk factors and potential mechanistic pathways. While vascular contributions to cognitive decline are well-documented, the specific relationships between AD and different CVD subtypes remain poorly understood. Methods: We examined associations between AD and 11 CVD subtypes using logistic regression models in two large biobanks: the UK Biobank (n = 502,133) and the All of Us Research Program (n = 287,011). Models were adjusted for demographic, lifestyle, and clinical covariates. We also explored genetic overlap between AD and CVD traits through colocalization of significant single nucleotide polymorphisms (SNPs) (p < 5×10 Results: Most CVD subtypes were significantly associated with AD in both cohorts. Hypotension had the strongest and most consistent association, followed by hypertension and cerebral infarction. Acute myocardial infarction was the only subtype not significantly linked to AD. Genetic analyses revealed shared loci between AD and CVD-related traits, particularly in regions near Conclusions: This study identifies subtype-specific CVD associations with AD across two diverse cohorts and highlights shared genetic architecture underlying heart-brain interactions. These findings underscore the importance of vascular health in AD risk and suggest that certain CVD subtypes, especially hypotension, may play underrecognized roles in cognitive decline.

Indexed as

Alzheimer’s diseasecardiovascular diseasecerebral infarctionHeart–brain axishypotension

Identifiers

PMID40950506
PMCPMC12424917

What OpenQuestion 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 OpenQuestion graph.