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Record W4406992916 · doi:10.1161/str.56.suppl_1.wp44

Abstract WP44: Homocysteine mediates the impact of PFO shunt on vascular cognitive impairment

2025· article· en· W4406992916 on OpenAlexaboutno aff
Wenjun Deng, David McMullin, Ferdinando S. Buonanno, Eng H. Lo, MingMing Ning

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHomocysteineCognitive impairmentVascular diseaseCognitionVascular dementiaShunt (medical)CardiologyStroke (engine)Internal medicineNeuroscienceDementiaPsychiatryDisease

Abstract

fetched live from OpenAlex

Background: Patent foramen ovale (PFO) is an independent risk factor for neurovascular injury such as stroke. We previously found that large PFO shunt is associated with increased long-term risk of vascular dementia. However, the mechanism underlying this association remains poorly understood. Our previous research revealed that PFO shunt enables the accumulation of homocysteine in circulation (Deng, Neurology 2021). It is thus possible that homocysteine may mediate the effect of PFO shunt on cognitive decline. This study aims to explore the relationship among PFO shunt, total homocysteine (tHcy) levels and the risk of vascular cognitive impairment and dementia (VCID). Method: A total of 1282 PFO patients were prospectively recruited and followed for over 11 years post their PFO closure in accordance with IRB protocol. All the patients were cognitively normal at the time of PFO diagnosis. Residual shunt post PFO closure was assessed using transthoracic echocardiogram (TTE) with saline contrast. Cognitive function was evaluated using Montreal Cognitive Assessment (MoCA). tHcy levels in peripheral venous blood was measured using mass spectrometry. Result Among the patients, 67 (5.2%) developed VCID as measured by MoCA < 26 and NINDS AIREN criteria. The risk of VCID was significantly high in patients with residual shunt, particularly those with large shunt size (no shunt: 5.0%; small shunt: 6.4%; large shunt: 11.5%), suggesting a dose effect of PFO shunt (OR: 1.53; 95% CI: 1.09 ~ 2.16; p = 0.014) (Figure 1A, Table 1). Moreover, residual PFO shunt also contributed to tHcy elevation in circulation (β: 0.44; 95% CI: 0.19 ~ 0.69; p < 0.001) (Figure 1B, Table 1), and high tHcy levels were linked to increased risk of VCID (OR: 1.87; 95% CI: 1.14 ~ 3.07; p = 0.013) (Figure 1C, Table 1). Further mediation analyses revealed a significant indirect effect of PFO shunt on VCID through tHcy (OR: 1.29; 95% CI: 1.01 ~ 1.66; p = 0.047) (Figure 1D, Table 1). tHcy mediated 40% (95% CI: 6% ~ 74%; p = 0.021) of the total association between PFO shunt and VCID risk (Figure 1D, Table 1). These findings remained robust after adjusting for other VCID risk factors, such as age, diabetes, hyperlipidemia and hypertension (Table 1). Conclusion: Our study suggested that that PFO shunt may contribute to the development of VCID by promoting circulatory tHcy elevation. Further mechanistic investigation of neurovascular injury and cognitive decline associated with PFO shunt is ongoing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.278
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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