Evidence map›Paper›PMID 40290439›Full record

ArticleFrontiers in pharmacology2025

Pharmacogenetics polygenic response score predicts outcomes in aspirin-treated stroke patients.

Rui-Nan Ma, Dong Zhang, Zhi-Zhang Li, Ying Ding, Xiao-Guang Zhang, Jie Xue, Dan-Zhuoma Ci, Yue-Ying Bai, Liang Hu, Dai-Zhan Zhou and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Rui-Nan Ma *Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Dong Zhang *Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhi-Zhang LiDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Ying DingDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiao-Guang ZhangDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Jie XueDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Dan-Zhuoma CiDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Yue-Ying BaiBiology Department, Boston College, Chestnut Hill, MA, United States.
Liang HuDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Dai-Zhan ZhouDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Yun-Hua YueDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aspirin is a cornerstone medication for acute ischemic stroke (AIS), but its efficacy varies significantly among individuals. This study aimed to develop a pharmacogenetic polygenic response score (PgxRS) to predict the incidence of adverse outcomes in aspirin-treated AIS patients. Methods: We conducted a retrospective study involving 828 AIS patients who received aspirin therapy. Fifteen candidate single nucleotide variants (SNPs) in genes related to aspirin's mechanism of action, transport, metabolism, and platelet function were genotyped. The association between SNPs and the risk of unfavorable prognosis (defined as modified Rankin Scale score >1 at 90 days) was assessed using logistic regression analysis. Multivariable models incorporating SNPs and clinical factors were developed to predict adverse outcomes. Results: The rs1045642GG genotype in the ABCB1 gene was significantly associated with a lower risk of unfavorable prognosis, while the rs1371097T allele in the P2Y1 gene was linked to a higher risk. A prediction model incorporating these two SNPs along with clinical variables demonstrated moderate diagnostic accuracy for predicting unfavorable prognosis (AUC = 0.78, 95% CI: 0.74-0.81). Conclusion: Our findings suggest that rs1045642 and rs1371097 genotypes contribute to variability in aspirin response among AIS patients. The developed PgxRS, incorporating these SNPs and clinical factors, can potentially aid in risk stratification and guide personalized antiplatelet therapy decisions. However, further validation in larger, diverse cohorts is warranted.

Indexed as

acute ischemic strokeaspirinpersonalized medicinepharmacogeneticsprognosissingle nucleotide variant

Identifiers

PMID40290439
PMCPMC12023276

What Socratic holds

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LicenceCC BY
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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 Socratic graph.