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Record W4406468980 · doi:10.1161/jaha.124.037465

High Plasma Polyamine Levels Are Associated With an Increased Risk of Poststroke Cognitive Impairment: A Multicenter Prospective Study From CATIS

2025· article· en· W4406468980 on OpenAlexaboutno aff
Yu He, Yiming Jia, Yi Liu, Xinyue Chang, Pinni Yang, Mengyao Shi, Daoxia Guo, Yanbo Peng, Jing Chen, Aili Wang, Tan Xu, Jiang He, Yonghong Zhang, Zhengbao Zhu

Bibliographic record

VenueJournal of the American Heart Association · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsnot available
FundersNatural Science Foundation of Jiangsu ProvinceGovernment of Jiangsu ProvincePriority Academic Program Development of Jiangsu Higher Education InstitutionsJiangsu Association for Science and TechnologyScience and Technology Program of SuzhouNational Natural Science Foundation of China
KeywordsMedicineProspective cohort studyCognitive impairmentCognitionInternal medicineStroke (engine)PolyaminePsychiatry

Abstract

fetched live from OpenAlex

Background Polyamines have been suggested to play pivotal roles in ischemic stroke and neurodegenerative disorders, but the associations of plasma polyamines with poststroke cognitive impairment (PSCI) remain unclear. We aimed to prospectively investigate the associations of plasma putrescine, spermidine, and spermine with PSCI among patients with ischemic stroke in a multicenter cohort study. Methods and Results We measured plasma polyamine levels at baseline among 619 patients with ischemic stroke from a preplanned ancillary study of CATIS (China Antihypertensive Trial in Acute Ischemic Stroke). We used the Mini‐Mental State Examination and Montreal Cognitive Assessment to evaluate cognitive function at 3‐month follow‐up after ischemic stroke, and PSCI was defined as Mini‐Mental State Examination score <27 or Montreal Cognitive Assessment score <25. According to the Mini‐Mental State Examination score, plasma polyamines were positively associated with PSCI. The adjusted odds ratios of PSCI for the highest versus lowest quartile of putrescine, spermidine, and spermine were 1.81 (95% CI, 1.09–3.00), 1.81 (95% CI, 1.09–3.01), and 1.92 (95% CI, 1.15–3.20), respectively. In addition, plasma putrescine (net reclassification improvement, 32.08%; P <0.001; integrated discrimination improvement, 1.62%; P =0.002), spermidine (net reclassification improvement, 25.29%; P =0.002; integrated discrimination improvement, 1.22%; P =0.006), and spermine (net reclassification improvement, 16.54%; P =0.045; integrated discrimination improvement, 1.36%; P =0.004) could significantly improve the risk reclassification of PSCI beyond established risk factors. There were similar significant relationships when PSCI was defined by Montreal Cognitive Assessment score. Conclusions Higher plasma polyamine levels were associated with increased risk of PSCI among patients with ischemic stroke. Our findings suggest that plasma polyamines should be implicated in the pathophysiologic processes of PSCI and may be the potential intervention targets for PSCI. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01840072.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.254
Teacher spread0.249 · 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 teacher head, 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

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

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